Sitecore 10: Making it easier for marketing teams to be more efficient

For organizations that are considering or already leveraging Sitecore to host their digital experience, they’ll be excited to learn that Sitecore announced the release of Sitecore ® Experience Platform ™ 10, (XP 10 for short), plus Sitecore Experience Commerce™ 10 (XC 10).

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Peplink

Peplink is the leader in SD-WAN solutions. Peplink's SpeedFusion SD-WAN routers have been deployed around the world, helping thousands of customers from varied industries to increase bandwidth, enhance Internet reliability, and reduce costs. Our complete product line includes models for business of all sizes, and provides an award winning Internet experience for customers.

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Software, Future Tech, Application Development Platform

Strategic Approaches to DevOps Issue Detection and Tracking

Article | August 16, 2023

Identify strategic approaches and best practices for tracking and issue detection in DevOps to improve collaboration, streamline operations, and accelerate the delivery of high-quality software. Table of Contents 1. Executive Overview of DevOps 2. Fundamental Tenets of DevOps in Contemporary Business 3. Best Practices for High-impact DevOps Implementation 3.1 Agile Integration 3.2 Effective Use of Microservices Architecture 3.3 Enhance Container Orchestration 3.4 Embrace DevSecOps Integration 3.5 Foster Collaboration 3.6 Implement Test Automation 3.7 Incorporate Infrastructure as Code (IaC) 3.8 Adopt CI/CD 3.9 Deploy Chaos Engineering Methodology 3.10 Adopt Serverless Architecture 3.11 Version Control 3.12 Configuration Management 3.13 Application Performance Monitoring 3.14 Apply Lean Principles 3.15 Monitoring and Logging Metrics 4. Final Thoughts 1. Executive Overview of DevOps DevOps revolutionizes how software is delivered by integrating development and operations to enhance efficiency and speed. It is driven by principles like culture, automation, lean, measurement, and sharing. Successful DevOps adoption streamlines engineering departments and top management, leading to faster and simpler project completion. It's about bridging gaps between teams, focusing on continuous improvement, and connecting user feedback to development for agile market response. Adopting modern DevOps practices is critical for staying competitive, adapting swiftly to changes, attracting top talent, and building customer loyalty​​. 2. Fundamental Tenets of DevOps in Contemporary Business DevOps has emerged as a transformative force in modern business, driven by a set of core tenets that break down silos, accelerate delivery, and foster a culture of continuous improvement. The principles listed below emphasize on breaking down barriers, automation as a foundation, continuous improvement at its core, customer focus as the priority, and shared responsibility as a driving force. Automation Continuous Integration and Continuous Deployment (CI/CD) Collaboration and Communication Rapid and Reliable Delivery Monitoring and Feedback Quality and Security Scalability and Performance Optimization Agility and Flexibility Infrastructure as Code (IaC) Lean and Efficient Operations 3. Best Practices for High-impact DevOps Implementation 3.1 Agile Integration One of the most important aspects of Agile is its emphasis on continuous improvement and customer feedback. Integrating DevOps with Agile enhances value-delivery and streamline workflows, focusing on quick, iterative development and adaptive planning. Agile prioritizes incremental and iterative product delivery, allowing teams to maintain the flexibility and agility for responding to and incorporating stakeholder feedback. Agile follows these 4 core values: Prioritize people and interactions over tools and processes. Prioritize a working product over documentation. Prioritize customer collaboration over contract negotiation. Respond to changes over following a plan. 3.2 Effective Use of Microservices Architecture Being DevOps best practices in modern business, microservices architecture helps develop applications as a collection of small, independent services, and improves scalability and flexibility in development. This modularity allows for easier updates and maintenance, thus smoothening a faster delivery process and improved quality. Microservices enhance the dependability and robustness of systems by enabling the isolation and resolution of service failures without impacting the entire system. Container orchestration with microservices offers fine-grained environments for execution andthe ability to combine various application components into a single instance of an operating system. Microservices, containers, and orchestrators are an ideal complement to one another. 3.3 Enhance Container Orchestration Orchestration manages the lifecycle of containers using DevOps tools for issue detection like Kubernetes, providing automated deployment and scaling. It automates container scheduling, deployment, scalability, load balancing, availability, and networking. Docker introduced a paradigm shift towards distributed operating systems, streamlined software deployment processes, and enabled dependable application execution across diverse computing environments. By automating the deployment of multiple containers used to implement an application, this can be achieved more efficiently. The term used to describe this form of automation is orchestration. It is frequently employed to administer multiple containers through orchestration tools. In addition to mediating between applications or services and container runtimes, container orchestration manages resources, schedules and provides services. This ultimately helps handle the complexities of managing large deployments and reducing manual overhead. It automates provisioning, deployment, networking, scaling, and lifecycle management. 3.4 Embrace DevSecOps Integration Security practices in DevSecOps culture includes automated security checks for software security. It is an approach to automation that integrates security as a shared responsibility throughout the lifecycle entails DevSecOps. Password storage in private repositories for automation is on the decline due to the increasing threats with the development of technology. Therefore,implementing secure internal networks to isolate and track problems in CI/CD workflows is commendable for best strategy for implementing DevOps. One way to restrict exposure to hazards and enforce 'the principle of least privilege'is by utilizing VPNs, robust two-factor authentication, and identity and access management systems. 3.5 Foster Collaboration Encouraging open communication and teamwork across departments, fosters a healthy collaboration, and leads to efficient problem-solving and innovation. Cross-functional collaboration is essential for providing feedback loops and continuously improving work. This improves productivity and reliability. The primary objective of collaboration is to enable a sense of shared responsibility among development and operations teams. Embracing failure and continuous feedback can lead to a transparent and visible environment. Constant monitoring, measuring, and analyzing the software delivery facilitates iterative improvement. 3.6 Implement Test Automation One of the DevOps implementation best practices, this methodology combines operations and development operations in a single cycle. All parties involved in the software development process, including operations, quality assurance, and development, must work closely together. Testing enables constant monitoring of applications and infrastructure while providing feedback to improve development and operational activities. DevOps must establish a mature framework for automated testing that facilitates the programming of test cases. It is advised to start with simple, repetitive tasks and gradually expand coverage to build automation flows efficiently. Each test case should be limited in complexity for easy troubleshooting and built as independent, reusable components to minimize creation time and enhance efficiency. Maintaining separate, self-contained automated test cases also facilitates parallel execution across different environments. 3.7 Incorporate Infrastructure as Code (IaC) IaC helpsto recreate an exact environment subsequent to deployment due to the necessity of updating the systems it interacts with. It manages and provisions infrastructure through code, bringing speed and consistency to the whole environment setup.By eliminating the needfor manual infrastructure management, IaC mitigates the possibility of human error. Instead of relying on engineers to recall previous configurations or respond to failures, the entire system is composed of code and governed by thesource control system.Infrastructure as Code has further decreased cloud expenditures through the implementation of auto-scaling capabilities. 3.8 Adopt CI/CD Continuous Integration is a development methodology that enables programmers to commit changes to a shared repository multiple times daily. Automated builds are utilized to validate the code. This helps the team in the early stages of development in DevOps issue detection and promptly resolving them. It streamlines the software development process by enabling more frequent and reliable updates through regular integration and testing of code. This leads to the early detection of issues and ensures high-quality outputs. Moreover, CI/CD promotes better collaboration among developers and accelerates the feedback loop from users. This is crucial for rapid adaptation to market needs. The automation of deployment processes further reduces errors and saves time, enhancing overall efficiency in software development. 3.9 Deploy Chaos Engineering Methodology Chaos engineering is an approach that aims to enhance the dependability of a system by deliberately introducing failures and atypical situations. Chaos engineers intentionally break the system under controlled conditions to gain a deeper understanding of its vulnerabilities and rectify them before the occurrence of significant problems. Chaos engineering integration into DevOps pipelines enables fault-tolerance and resilience testing to be executed. This helps to identify and address potential system vulnerabilities during the early phases of development. This reduces the time and resources required to resolve and detect DevOps issues after the product has been released. Incorporating chaos experiments into the CI/CD pipeline promotes a culture of ongoing development and knowledge acquisition by enabling teams to promptly observe the consequences of code modifications on the system's overall stability. 3.10 Adopt Serverless Architecture The serverless model allows users to build and run applications and services without managing servers, resulting in one of the DevOps deployment best practices. All infrastructure management tasks are eliminated by this method. These tasks include cluster provisioning, patching, operating system maintenance, and capacity provisioning. Developers are only responsible for bundling their code into containers for deployment. Adopting serverless computing enables developers to delegate the critical tasks of provisioning servers and managing resources to a cloud provider, focusing instead on deploying their code. This strategic approach to DevOps lets the provider automatically manage scalability and resource allocation. Also, it lets them adapt to varying demands efficiently. Function-as-a-Service (FaaS) concept is central to serverless computing, which plays a pivotal role in its functionality. With serverless architectures, developers enjoy enhanced flexibility and accelerated time to release. 3.11 Version Control It is a mechanism that monitors the advancement of code throughout the software development lifecycle and its numerous iterations. Version control assists in change management by maintaining a record of each modification, including authorship, timestamp, and additional pertinent information. Investing in software version enables DevOps teams to improve collaboration among teams. With this, it enables enhanced efficiency in their work. By enabling teams to monitor modifications made to the code base, version control systems facilitate effective collaboration and expedite error resolution. In addition, version management paves the way for deployment of new features and upgrades. Additionally, it guarantees system stability and diminishes the probability of errors that may result in system outages. These systems facilitate the automation of processes by development teams, thereby increasing the speed and efficiency of repetitive activities such as testing, constructing, and deploying. 3.12 Configuration Management Multiple environments are necessary for each phase of the development process. These include unit testing, integration testing, acceptance testing, traffic testing, system testing, and end-user testing. The complexity of these environments escalates as the DevOps testing strategy progresses toward pre-production and production settings. Automated configuration management guarantees that these environments are configured optimally. Inadequate configuration management in DevOps may lead to system outages, data leaks, and breaches. It's also worth noting that bad environments make for improper, incomplete, and shallow tests. 3.13 Application Performance Monitoring Monitoring application performance within the DevOps framework is critical, as it enables the detection and resolution of problems before they can affect the overall system's performance. Although the objective is comparable to that of network performance monitoring (NPM), there are significant distinctions between the two methodologies that render them equally valuable to implement. System and application performance metrics are crucial as they reveal the performance details of the application. For instance, they indicate if the system is too sluggish or if the TPS (transactions per second) SLA is being met. Additionally, they help determine if the system can handle the peak load in the live environment and how the application recovers from a stressed state to a normal state, among other things. 3.14 Apply Lean Principles Applying lean principles in DevOps is recognized as a best practice. The approach enhances efficiency and productivity in software development and delivery processes. It lays emphasis on value creation, waste reduction, and continuous improvement. It aligns seamlessly with DevOps objectives. This involves a thorough understanding of customer needs to define value accurately and then mapping the value stream to identify and eliminate non-value-adding activities. Strategizing a flow in the DevOps pipeline ensures a smooth and uninterrupted delivery process, eliminating problems in DevOps pipelines. The 'pull' system in Lean, adapted to DevOps, ensures that development aligns with customer demand. 3.15 Monitoring and Logging Metrics Organizations analyze logs and metrics to determine how application and infrastructure performance affects the end-user experience of a product. By documenting, categorizing, and analyzing data and records produced by infrastructure and applications, organizations can gain insights into the effects of updates or modifications on users. This facilitates the identification of the underlying factors contributing to issues or unforeseen changes. Active DevOps monitoring strategies become more critical as the frequency of application and infrastructure updates rises, and services must be accessible around the clock. Implementing real-time analysis or setting up alerts for this data enables organizations to monitor their services more proactively. 4. Final Thoughts Looking ahead, the future of DevOps promises even greater innovation and efficiency gains. We can anticipate the continued evolution of automation tools, machine learning, and artificial intelligence to optimize further and accelerate software delivery pipelines. Additionally, incorporating security practices in DevOps culture will enable DevOps to become increasingly vital in safeguarding digital assets. The importance of DevOps in achieving streamlined operations cannot be overstated. By reducing manual interventions, businesses can deliver high-quality software consistently. Fostering collaboration helps them respond to market changes rapidly and ultimately improve customer satisfaction. Moreover, reduced operational costs, faster time-to-market, and increased revenue potential all contribute to a significant ROI.

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AI Tech

From Development to Deployment: End-to-End DevOps Automation

Article | September 8, 2023

The seamless journey of DevOps automation in this article, from development to deployment leads to improved revenue, where efficiency meets excellence from initial development to seamless deployment. Contents 1. The Significance of Streamlining Development to Deployment 2. How Key Strategies for DevOps Success Elevate Revenue Generation? 3. Automating Development 3.1. Continuous Integration (CI) Essentials 3.2. Streamlining Continuous Deployment and Delivery (CD) 3.3. Efficient Version Control 4. Configuration Management 4.1. Role-based Configurations in DevOps 4.2. Dynamic Configuration Management (DCM) 5. Top Providers for DevOps Security and Collaboration 5.1. HackerOne 5.2. Teamwork 5.3. Embrace 5.4. Instabug 5.5. Nulab 5.6. Sonar 5.7. LogicMonitor 5.8. JetBrains 5.9. Perforce Software 5.10. Sentry 6. Exploring Emerging Technologies in DevOps Deployment without DevOps is characterized by a traditional, often siloed approach, typically following a linear and sequential 'waterfall' model. Development and operations teams, in such cases, work independently then lead to limited collaboration and communication. The process involves manual handovers, often with insufficient knowledge transfer, resulting in longer release cycles, making deployments riskier and more error-prone due to the bundling of numerous changes. Additionally, the feedback loop is limited, causing delays in implementing user or operational feedback. This is where streamlined deployment comes into the picture. For Example, Etsy, which grew at a regular pace, following the traditional waterfall approach, achieved 80 releases a day rather than deploying code twice a week, post-DevOps integration. 1. The Significance of Streamlining Development to Deployment The previously occurring Integration Issues can now be avoided by shifting the model to DevOps.For example, aligning and integrating the front and backend error-free is no longer tedious. Each developer has their local setup which can cause the infamous 'it works on my machine' syndrome when the code fails to run in different environments. This, ultimately, streamlines the end-to-end DevOps automation process flow. The traditional workflows, often lacking continuous testing and detection of errors, will eliminate costly delays and rework. Collaborating on code, especially in large teams, became a hassle with no shared tools or platforms. While DevOps management platforms enable teams tocollaborate and work together, DevOps collaboration tools and technologies manage work, improve team communication, and share expertise. The market size for custom software development was valued at $388.98 billion in 2020 and is expected to grow to $650.13 billion by 2025. 2. How Key Strategies for DevOps Success Elevate Revenue Generation? An effective DevOps approach prioritizes customers. Focusing on strong software justifies extended development and release timelines. It also ignores the most important factor: software users. Consumers want a good product that solves their problem rather than the process. A good DevOps approach puts the team in the customer's shoes. While 22% of rework time is minimized with DevOps practices, the deployment frequency of firms with DevOps as compared to those without DevOps is a whopping 200 times. Adit Modi, Cloud Architect and Community Leader at Digital Alpha reported that he saw a whopping 30% increase in developer productivity within the first month in a startup. Continuous Integration A robust approach for automating development operations is CI. CI automates code build and change integration. An end-to-end DevOps automation implementation method emphasizes fast, automated systems. Continuous integration lets developers integrate code more often and create and merge code. Implementing CI saves a lot of time in development. It reduces regression bug-resolving time while promoting code quality. A promising CI pipeline helps one understand the codebase and customer features. For example, as stated in Netflix Technology Blog, Titus is Netflix’s infrastructural foundation for container-based applications. It provides Netflix scale cluster, resource management, and container execution with deep Amazon EC2 integration as well as common Netflix infrastructure enablement. Infrastructure-as-a-code and Automation IaC is a compelling way to automate IT infrastructure management, provisioning, and configuration. Maintaining ideal infrastructure is the fundamental goal of IaC. Infrastructure-as-a-code practices in DevOps are utilized to administer the server, storage, and networking infrastructure of a data center. It is designed to facilitate configuration and administration on a massive scale and automatically handles and manages steady-state deviations. Implementing a DevOps automation guide is among the best DevOps strategies for companies seeking to increase revenue as it streamlines development and operations, leading to faster deployment cycles, improved efficiency, and, ultimately, a quicker time-to-market for new and innovative services that drive sales growth. For example, Kloudspot drastically reduced development and service management time by 50% while deploying its new end-to-end DevOps automation infrastructure via an automated system. Constant Delivery and Deployment Continuous delivery (CD) helps teams build high-quality software quickly. Continuous delivery pipelines provide software on time with minimal manual intervention. CD is an effective DevOps release technique for faster software development, testing, and deployment. In an interview with Clare Liguori, Principal Software Engineer for AWS container services, she emphasized that AWS just doesn't enforce automation onto its processes and hope for the best; its automated deployment practices are carefully built, tuned, and tested based on what helps them balance their deployment safety against deployment speed. Microservice framework Microservices are compact, deployable services designed in the style of intricate applications. They are merely an iteration of the Service-Oriented Architecture (SOA) paradigm. In addition to being independent of technology, they exchange information using a variety of communication protocols. The noteworthy part is that one service does not crash or impact other parts of an application! For example, Uber's infrastructure exemplifies a commendable microservice architecture. Several thousand microservices comprise this component and communicate via remote procedure calls (RPC), as noted in their Domain-Oriented Microservice Architecture blog. 3. Automating Development Automated ecosystem orchestration is becoming increasingly important due to the proliferation of Kubernetes architectures, which have transcended the human capacity for management. Continuous integration and deployment are executed in four phases by the CI/CD pipeline: source, build, test, and deploy. Automation in DevOps is mission-critical to an organization’s ability to keep pace with customers and the rapidly changing market. Reducing toil and minimizing toolchain complexity through automation enables developers to focus on what they do best, delivering innovation that drives value for the business. - Hilliary Lipsig, Principal Site Reliability Engineer, RedHat 3.1. Continuous Integration (CI) Essentials A non-CI environment's communication overhead can result in an intricate and entangled synchronization task, thereby increasing project bureaucratic expenses unnecessarily. The manual coordination encompasses operations, the remainder of the organization, and the development teams. CI facilitates the expansion of engineering teams' headcount and output. By integrating CI,software developers are empowered to independently develop features in parallel. Product and engineering communication can be extraordinarily cumbersome. Continuous integration enables this engineering to estimate delivery times for requests when the risk associated with integrating new changes is uncertain. Thereby, CI helps quicken delayed code releases and minimize failure rates. The essentials for an efficient functional CI are: Automate tests to run for every change to the main repository. Run tests on every branch of the repository rather than just focusing on the main branch. Ensure that every feature that gets developed has automated tests. Get a CI service to run those tests automatically on every push to the main repository. Integrate changes regularly. Establish security early in pipelines before building artifacts or deploying. Scan built container images for vulnerabilities with vulnerability scanning for artifact analysis. Implement linting and static code analysis early in pipeline to avoid weaknesses like accepting raw inputs. Use binary authorization to prevent images that contain vulnerabilities from being deployed to clusters. Create pipelines to enable rapid iteration. Ideally, CI pipelines should run in less than 10 minutes. 3.2. Streamlining Continuous Deployment and Delivery (CD) Use GitOps methodology to review changes before they are deployed through merge or pull requests and help in recovery through snapshots in case of failure. Promote, rather than rebuild container images, to avoid minor differences across code branches. Consider using more advanced deployment and testing patterns according to business needs. These include Recreating a deployment, Rolling update deployment, and blue-green deployment. Use Separate clusters for different environments like development environments, pre-production environments (Staging or QA) and production environments. Keep pre-production environments close to production; while pre-production clusters should ideally be identical to production clusters, they can be scaled-down replicas for cost considerations. Implement a clearly defined rollback strategy to address any substantial issues that may arise throughout the deployment process, enabling users to swiftly revert to the previous version, thereby reducing the likelihood of any adverse effects. 3.3. Efficient Version Control Teams typically face these challenges when adopting CI/CD: Conflicts due to manual testing Downtime risk Inefficient resource utilization Kubernetes has the capability to resolve these issues. In a CI/CD pipeline, it decreases the time and effort necessary to develop and deploy applications. The model's effective resource management increases hardware utilization, automates management procedures, and decreases customer-detrimental disruptions. Cluster management, orchestrate deployment and provisioning, and declarative constructs are some specializations performed by Kubernetes. Efficient version control is demonstrated by Kubernetes through the below mentioned techniques: Kubernetes packages applications and their dependenciesthroughcontainers. Enabling consistent versioning of applications, this practice standardizes environments throughout development, testing, and production. DevOps delivery infrastructure considerations are minimized with Kubernetes, which also enhances application resiliency, automation, and scalability. Incorporating version control directly into the deployment process, Kubernetes enables the automated deployment of new application versions and permits a rollback to previous versions ifissues are raised. Kubernetes provides support for a range of deployment strategies, including blue-green and canary deployments. This support enables the gradual rollout and testing of new versions while ensuring the continuity of service. 4. Configuration Management Unit testing, integration testing, acceptance testing, load testing, system testing, and end-user testing are all critical components of a development infrastructure. As testing advances production environments, the complexity of these environments escalates. The role of automation in DevOps ensures that these environments are configured optimally through configuration management. DevOps configuration management automates routine maintenance tasks and frees up development time for the actual programming. 4.1. Role-based Configurations in DevOps Role-based configuration management in DevOps plays a significant role in managing infrastructure updates and creating organized systems. Roles, for example, bundle and organize automation tasks and configurations in a reusable manner, making it easier to handle complex workflows. These roles promote teamwork and efficiency in development​​. Role-based configurations are a sophisticated strategy for delineating access and operational privileges within the CI/CD pipeline tailored to the specific responsibilities of team members. This paradigm leverages identity and access management protocols to automate the enforcement of security policies, reducing the risk of unauthorized changes that lead to system vulnerabilities or compliance breaches. Organizations can create a more secure, stable, and efficient delivery environment by employing a granular control mechanism. As a result, this facilitates a higher caliber of software releases, optimized resource allocation, and an acceleration in delivering value to customers, which in turn can drive revenue growth and competitive advantage. 4.2. Dynamic Configuration Management (DCM) DCM addresses the entire lifecycle of an application. Top organizations implement dynamic configuration management because they recognize its criticality in enterprise-grade platforms. It addresses the limitations of static configuration management, which may hinder developer and Ops productivity. DCM uses a workload specification to create configurations, reducing the number of configuration files needed and simplifying the deployment process. This approach can significantly reduce configuration file numbers, improving overall business performance​​​​​​​​​​​​. For example, an app with ten services and dependencies is deployed across four environments. Assuming an organization deploys three times a day every 21 working days, a typical cloud native setup would be 300 to 600 configuration files with up to 30,000 versions a month. That is up to 95% fewer files than the static approach. 5. Top Providers for DevOps Security and Collaboration 5.1. HackerOne Being the frontrunner in human-powered security, HackerOne outperforms cybercriminals, employing human ingenuity to identify the most critical security vulnerabilities across any attack surface. Integrating cutting-edge artificial intelligence with innovative human intelligence, HackerOne's Attack Resistance Platform mitigates risk throughout the software development lifecycle. Facilitating the identification of novel and illusive vulnerabilities via bug bounties ensures that organizations meet compliance requirements through penetration testing. HackerOne's elite community of ethical hackers empowers businesses to transform themselves confidently. 5.2. Teamwork Teamwork provides a platform that combines user-friendly project administration with industry-leading client operations, which teams adore. It helps you deliver work on time and budget, eliminate client chaos, and understand profitability all in one platform. It provides a single solution for all client operations challenges. Delivering profitable projects, streamlining client operations, and delighting clients help optimize the recurring revenue from retainers. Teamwork.com integrates all the tools a company uses, hence making the company more accessible to manage all in one place. 5.3. Embrace The organization develops and defines a performance management platform for mobile applications that aid in the detection and resolution of any user-impacting problems that may arise within the applications. The mobile environment presents mobile teams with a singular challenge:they must now consider the infinite variety of user and environmental variables across millions of autonomous devices. Embraceliberates the value by ingesting one hundred percent of the time-based technical and user behavior session data.With the help of Embrace, product and engineeringteamshave access to real-time observability while marketing and BI benefit from automated analysis of transformed and usable datasets. 5.4. Instabug Instabug provides a mobile application performance monitoring (APM) platform, offering advanced services that enhance app performance and user experience. It features efficient bug and crash reporting systems, which help quickly identify and resolve app issues, ensuring stability and user trust. With a robust infrastructure supporting over two billion devices, Instabug ensures scalability and reliability. Its simple SDK integration and full visual reproduction tailored for mobile app development challenges make it an essential tool for developers focused on optimizing app functionality and user satisfaction. 5.5. Nulab Nulab is an expanding software company that provides teams of all sizes with online collaboration tools. It places a premium on forward-thinking, collaboration, and trust as an organization to unite groups through technology securely. Its platform provides project management, version control, and bug tracking. Providing Integrated tools to support collaboration at every stage helps in tracking real-time progress. Nulab provides solutions from UX & DEsign to marketing and Quality assurance to plan and strategize beforehand. 5.6. Sonar One of the DevOps security providers, Sonar's market-leading solution empowers development teams and developers to write clean code and automatically remediate existing code, allowing them to concentrate on their favorite tasks and increase the value they deliver to organizations. Its commercial and open-source solutions are compatible with thirty programming languages. SonarLint is a complimentary IDE extension that preventscoding errors. SonarCloud provides straightforward resolution guidance for any Code Quality or Security issue it detects and integrates with existing cloud-based CI/CD workflows. SonarQube is the preeminent instrument developed teams utilize to audit their codebases' code quality and security in real-time and provide direction during code reviews. 5.7. LogicMonitor LogicMonitor's developments demonstrate the company's dedication to a unified monitoring experience based on layered intelligence and hybrid observability. These innovations aim to proactively enhance IT infrastructure and avert issues through quick-to-deploy, SaaS-based automated tools for infrastructure, applications, and business services, focusing on innovation and reducing remediation. A notable advancement is integrating Airbrake error monitoring with LogicMonitor, enabling streamlined usage of both platforms via a single interface. The combined capabilities of LogicMonitor and Airbrake improve visibility and control in IT environment monitoring and management, marking substantial progress in IT operations optimization. 5.8. JetBrains JetBrains core is coding, with its mission to create the most robust and efficient developer tools available. Its tools accelerate production by automating routine checks and corrections, allowing developers more time to develop, explore, and innovate. Regardless of the size of any team, its products provide a seamless experience throughout the process of code development, work planning, and collaboration. YouTrack, a developer tool of JetBrains, is a project management tool that helps deliver efficient products, use agile boards, assist in planning sprints and releases, maintain a strong knowledge base, work with reports and dashboards, and create workflows that follow business processes. 5.9. Perforce Software Perforce Software is an industry leader in DevOps and development solutions that are scalable and optimized to facilitate intelligent testing, dynamic growth, boundaryless collaboration, and risk management. It collaborates with businesses to reduce risk and accelerate time to market in environments where failure has a high cost. Its global specialists provide companies in various industries like automotive, semiconductor, financial services, game development, virtual production, and amusement. Its primary objective is to facilitate solutions that enable its clients to generate innovations rapidly and on a large scale. Perforce is mainly concerned with scalable DevOps by eliminating obstacles to collaboration and productivity. 5.10. Sentry Sentry's performance monitoring eliminates the need for developers to speculate to identify the source of application performance bottlenecks. Rather than delving into performance metrics, Sentry provides the precise lines of code that impede the performance of applications, allowing us to locate the underlying cause. It helps enable notifications before most businesses' users are impacted by performance issues to identify, designate, and resolve within the workflow. It consolidates runtime errors and mobile application malfunction reporting into a single view and provides a real-time, comprehensive assessment of the application's health. By associating errors with releases, identifiers, and devices, one can efficiently resolve issues, reduce customer attrition, and enhance user retention. 6. Exploring Emerging Technologies in DevOps The future of end-to-end DevOps automation promises even greater innovation and efficiency gains. We can anticipate the continued evolution of automation tools, machine learning, and artificial intelligence to optimize further and accelerate software delivery pipelines. Additionally, by incorporating security as a core DevOps principle, DevSecOps will become increasingly vital in safeguarding digital assets. The importance of DevOps’ latest technologies in achieving streamlined operations cannot be overstated. By reducing manual interventions and fostering collaboration, businesses can consistently deliver high-quality software, respond rapidly to market changes, and ultimately enhance customer satisfaction. Moreover, the impact on ROI is substantial, with reduced operational costs, faster time-to-market, and increased revenue potential.

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Neural Networks

Empowering Industry 4.0 with Artificial Intelligence

Article | September 15, 2023

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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How Artificial Intelligence Is Transforming Businesses

Article | February 12, 2020

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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Peplink

Peplink is the leader in SD-WAN solutions. Peplink's SpeedFusion SD-WAN routers have been deployed around the world, helping thousands of customers from varied industries to increase bandwidth, enhance Internet reliability, and reduce costs. Our complete product line includes models for business of all sizes, and provides an award winning Internet experience for customers.

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AI Tech, General AI, Software

Invoca Unveils Next-Generation Conversation Intelligence Boosted by Generative AI

Prnewswire | June 19, 2023

Invoca, a recognized leader in conversation intelligence AI, today unveiled new capabilities that leverage a combination of generative AI, large language models (LLMs), voice biometrics, and patented machine-learning technologies to help consumer brands acquire more customers and drive revenue growth. These updates unlock new, actionable insights from conversations that marketing, e-commerce, and contact center teams can use to drive efficiencies, deliver amazing customer experiences, and significantly improve conversion rates. With generative AI and LLMs affecting two critical aspects of the customer experience – search engines and the contact center – Invoca empowers brands to stay ahead of the curve. Especially in challenging economic times, companies must deploy AI to drive tangible business impact. Invoca continues to embed cutting-edge AI technology in workflows to improve marketing ROI, increase contact center productivity, and drive profitable growth in industries like healthcare, automotive, financial services, telecom, and travel/hospitality. Today's updates include a sophisticated mix of AI technologies, each chosen for its ability to solve specific business challenges and deliver superior ROI. These new features complement Invoca's broad base of patented AI technology, first introduced in 2015 and represented today in Invoca's flagship Signal AI offering, launched in 2017. With Invoca's new cutting-edge generative AI-powered features, consumer brands can drive revenue growth by powering digital advertising and contact center performance, tapping into a goldmine of insights from phone conversations, and supercharging contact center QA and agent coaching: Powering Digital Advertising and Contact Center Performance with Actionable Insights Rapid Custom AI Model Creation: Create custom algorithms faster than ever before to pinpoint unique, actionable insights from every phone conversation, such as the product a caller is interested in, if a qualified sales lead doesn't make a purchase, or if an agent fails to qualify the caller or handle objections according to your specific call flow. Using semantic search modeled after ChatGPT, users are shown specific moments from relevant calls to review and, with a few clicks, create an algorithm to classify similar conversations in the future. This game-changing update reduces required training data by over 90% and provides a "no code" approach to building highly accurate custom algorithms trained on each business's calls in less than 30 minutes of user review time. AI Smart Alerting: Notify key personnel of mission-critical exceptions in contact center operations. Contact center managers can be alerted right away when call handling or compliance issues arise, and marketing teams can understand fast-moving topics of conversation with customers, such as pricing or competitive shifts and changes in conversion rates and campaign results. Tapping Into a Goldmine of Insights From Phone Conversations ChatGPT Call Summaries: Get a succinct AI-generated call recap, highlighting the intent, interest, outcome, and flow of every conversation. Call summaries speed up quality assurance (QA) review, reduce manual post-call work for contact center agents, and help marketers get a deeper understanding of what's happening when their campaign leads call in. Structured Data Extraction: Improve agent post-call productivity and enrich consumer profiles by using AI-powered named entity recognition (NER) to identify and extract structured zero-party data – such as intricate product details– from unstructured conversations. For example, automotive dealerships, OEMs, and service centers can extract the vehicle year, make, and model discussed by a consumer and pass that data into lead management, CRM, and CDP applications for use in automated workflows. Supercharging Contact Center QA and Agent Coaching Agent Voice ID: AI-based agent voice biometric technology automatically analyzes every conversation to identify the specific agent that handled each call. This is valuable for contact centers and a breakthrough for multi-location and franchise businesses where multiple staff members answer calls from one shared phone number. AI Call Review Console: Designed for contact center QA managers to speed up the call review and agent coaching process, the AI-powered call review console highlights calls for managers to review, facilitates coaching and feedback, and enables teams to create and share call playlists for compliance, auditing, and insight extraction. "Since the introduction of Signal AI in 2017, Invoca has focused on providing innovative, no-code AI solutions that deliver measurable business results – for experts and ordinary business users alike," said Gregg Johnson, CEO of Invoca. "In this next phase of AI adoption, we're excited to combine generative AI and LLMs with our market-leading conversation intelligence technology to push the boundaries of what's possible for marketing, e-commerce, and contact center teams in their quest to drive efficient revenue growth." Invoca's award-winning AI has received multiple accolades. Opus Research named Invoca the Leader and Top Solution for Sales & Marketing in its 2022 Conversational Intelligence Intelliview. Forrester also named Invoca a Leader in The Forrester Wave™: Conversation Intelligence: Sales And Marketing, Q4 2021, claiming "Invoca is one of the few established conversation intelligence vendors that can legitimately claim AI capabilities." Since 2017, Invoca's pioneering Signal AI offering has powered marketing decision-making and increased digital and phone call conversion rates at leading brands with clear and tangible results. Banner Health decreased overall patient acquisition costs by 74%, DIRECTV saw a 110% improvement in sales agent close rates, Renewal by Andersen increased contact center appointment rates by 47%, and Spectrum Retirement experienced a 20% reduction in resident turnover. Availability Rapid custom AI model creation, AI smart alerting, ChatGPT call summaries, and Agent Voice ID are in beta with select customers today. Structured data extraction and AI call review console will be in beta in fall 2023. What Businesses Are Saying About the Impact of Invoca's AI DIRECTV: "Invoca's AI has become a critical part of our tech stack. It's given us full visibility into the call channel and significantly reduced our cost per acquisition. And we're just scratching the surface of what it can do." ~ Mark Loovis, Director of Marketing Technology at DIRECTV Banner Health: "Invoca's AI has been critical for boosting the performance of our different audience segments. It has helped us understand what a loyal vs. a non-loyal patient's experience looks like all the way through the funnel. From there, it has allowed us to improve the experience for each segment and build lasting loyalty." ~ Chris Pace, Chief Digital Marketing Officer at Banner Health Spectrum Retirement: "With Invoca, we let the machine learning do the work and score 100% of calls to our communities, identifying each agent's strengths and areas for improvement. Having this data in one platform for every location in real-time is a huge time-saver, and being able to tag calls in Invoca with comments has changed the game for how we coach agents." ~ Jeff Arduino, National Director of Sales at Spectrum Retirement Rick's Custom Fencing & Decking: "Invoca's AI not only measures the intent and outcome of every call, it analyzes the performance of our sales agents for the KPIs we care about. And now with Agent Voice ID, Invoca automatically identifies the specific agent on every call by analyzing their voiceprint. The technology is amazing — it's accurate and easy to use." ~ Taylor Wick, Director of Marketing at Rick's Custom Fencing & Decking About Invoca Invoca a recognized leader in conversation intelligence AI that enables marketing, sales, customer experience, and e-commerce teams to understand and immediately act on the information consumers share via conversations. Through deep integrations with leading technology platforms, revenue teams can turn conversation data into automated action to enhance every digital touchpoint and human interaction, leading to better experiences, more conversions, and higher revenue. Invoca is trusted by top brands like Dish Network, Mayo Clinic, Mutual of Omaha, and DIRECTV. Invoca has raised $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. For more information, visit www.invoca.com.

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General AI, AI Applications, Software

Phrasee Introduces AI Content Engine, Powering Superior, On-brand Content Generation for the World’s Leading Brands

Businesswire | June 08, 2023

Phrasee, the complete AI content platform for enterprise marketers, today introduced its industry-leading content generation capabilities to complement its AI-powered optimization solution that helps marketers achieve better results. Unlike other generative AI tools, Phrasee’s Content Engine combines the power of large language models (LLMs) with its proprietary controlled natural language generation (NLG). This unique combination means marketers can now generate on-brand, high-performing content for any marketing use case, all delivered via custom, no-code workflows. While many tools are racing to jump on the generative AI bandwagon, Phrasee has been perfecting the art of AI content generation for eight years, evolving its platform to fine-tune AI content to a brand's tone of voice and drive increased engagement via optimization. The Phrasee AI Content Engine uses deep learning that is trained on a unique data set of thousands of experiments and billions of marketing data points, resulting in a higher-quality creative output​ that is proven to perform. “We live in a world where anyone can create content on demand through LLMs and a simple, chat-based interface, but just because it’s created, doesn’t mean it’s good,” said Parry Malm, Phrasee CEO and co-founder. “Good content engages the target audience, builds brand recognition, and most importantly, drives results. We envision a future where the world’s top brands drive awesome marketing results through AI. And the Phrasee platform is doing exactly that today for our customers around the world.” Phrasee is the only platform that provides the full range of AI content capabilities – generation, optimization, personalization, and performance insights. Content created through Phrasee is crafted with industry-leading brand controls and performance optimized through deep learning and automated experimentation. Phrasee helps enterprise marketers achieve better results by: Creating content at scale Phrasee empowers marketing teams with unlimited creativity, generating high-quality, data-backed, on-brand content, at scale, across the digital customer journey: emails, product descriptions, ads, social posts, articles/blogs, push and SMS messaging, and web/app copy. Maximizing customer engagement and revenue Phrasee optimizes and personalizes content to increase engagement, conversions, and customer lifetime value with performance that doesn’t degrade over time. Granular performance data helps marketers track the actual impact AI content is driving for the business and key KPIs. Automating experimentation Phrasee makes it easy to test, learn, and iterate on marketing messages to deliver even better performance from digital campaigns. Easily experiment with content and ensure a brand’s best-performing messages reach the most people. The self-serve UI makes testing and optimization at scale a reality with multi-step workflows and out-of-the-box integrations. Providing deeper customer insights that eliminate guesswork Phrasee’s language insight reports analyze content experiments to reveal the words, emojis, and tones a brand’s audiences respond to most (and least) and how they evolve. Marketers can apply these learnings across their marketing efforts to ensure their messaging always resonates. “Our suite of new generative AI capabilities provides enterprise marketers with an exclusive combination of AI-powered tools that not only generate on-brand, high-quality content but add the ability to optimize and personalize that content to drive increased engagement and revenue. This is what good content looks like,” said Matt Simmonds, chief product and technology officer at Phrasee. “No other platform can provide this mix of solutions, and we are just getting started. Stay tuned for the release of more unique tools designed specifically to help enterprises embrace generative AI with confidence and achieve measurable results.” Contact us for a demo. Meet us at Salesforce Connections June 7-8 Meet the Phrasee team at Salesforce Connections in Chicago at the McCormick Place West Building from June 7-8 and learn how generative AI is helping marketers increase loyalty, engagement, and ROI through the power of AI-optimized marketing messages. Phrasee is an Explorer-level sponsor at this year’s Salesforce Connections, two of the biggest days in marketing, commerce, and customer-first innovation. Today, at 9:30 a.m. CDT, Home Chef will be taking the stage with Phrasee for the session, “How Generative AI is Maximizing Customer Engagement,” at the Lincoln Park Theater. Attendees will learn first-hand from Home Chef’s Lauren MacArtney, senior lifecycle marketing manager, and Natalie Mesgleski, lifecycle marketing associate, how AI-optimized content can boost click-through rates and drive greater ROI using Phrasee and Salesforce Marketing Cloud. They will be joined by Lindsey Nelson, Salesforce retail industry advisor, and Jasper Pye, Phrasee vice president of product. For more information about attending, check out Phrasee’s website. About Phrasee Phrasee believes in a future where enterprise marketers drive unprecedented results using AI. Phrasee’s AI-powered platform generates the best-performing content at scale and with enterprise-grade controls across digital channels to realize those results and enable customers to compete effectively in this always-on, digital world. Its platform creates, optimizes, and analyzes on-brand marketing content in real-time, proven to drive more clicks, conversions, and revenue across your email marketing, push notifications, SMS marketing, and more. Phrasee boosts customer engagement and increases lifetime value for the world’s leading brands, including Sephora, Sainsbury’s, Currys, Pet Supplies Plus, Novo Nordisk, and Williams Sonoma, all while maintaining their unique brand standards and voice.

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AI Tech

ZeroSum Introduces MARKETai, a Marketing Platform

ZeroSum | May 27, 2021

ZeroSum, a leading provider of software, data, and marketing automation services to the automotive industry, today announced the launch of MARKETai, its data-driven marketing platform. MARKETai is the industry's first AI-powered platform, bringing together massive amounts of data and technology to improve marketing performance: • All available inventory in the US • Machine learning • Patent-pending predictive technology • Major marketing channels • An audience of real-in-market shoppers Their cloud-based platform has an inventory of over 640 million VINs, and dealerships may target active shoppers using the cross-platform advertising system. "This exciting launch is in line with our objective to use big data to drive disruptive market growth. This application will benefit auto dealers and operators by combining our unique shopping audience with marketing automation in ways that will assist our customers in increasing its market share in key segments "Matt Sharp, Chief Digital Officer, said The 1:1 correlation between buyers and vehicle sales in ZeroSum allows for more precise targeting. As a result, ads and marketing campaigns will be more efficient and effective. Dealers can do real-time market analysis by using: • Sales conversion rates • Market turn rates • Days' supply • Competitive inventory MARKETai integrates with dealer data, allowing the system to capture relevant data about inventory and shoppers. The platform offers the Key performance metrics that dealers require: • Inventory Impressions and VDP Views • Conversion rates on lead sources • VIN Level marketing attribution These insights are important for successful omnichannel digital marketing. The predictive modeling technology used by MARKETai is a patent-pending application. It enables users to forecast and map a buyer's journey, as well as track the marketing process from lead generation to sales for all vehicles in their inventory. These features lead to increased optimization of vehicle detail pages (VDP) traffic and views on certain vehicles that require more attention to sell. Other efficiencies include logic and learning, which turn off or reduce the budget for units that are expected to move and already have the inventory views they need. MARKETai's creative graphics and visualizations of dealership data are a standout feature. This view allows all dealer employees to strategically engage in decision-making. MARKETai transforms data sets into coherent, relevant insights for marketers, sales managers, and business owners. Dealers may also rely on a ZeroSum Dealer Success Manager for customer support and a Managed SaaS platform experience. About ZeroSum ZeroSum is a software, marketing, and data leader. ZeroSum is simplifying and modernizing automotive marketing by using data and scaling ability to acquire new customers with its SaaS platform, MARKETai. ZeroSum is the first and only company that connects customer demand in real-time with automotive data.

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AI Tech, General AI, Software

Invoca Unveils Next-Generation Conversation Intelligence Boosted by Generative AI

Prnewswire | June 19, 2023

Invoca, a recognized leader in conversation intelligence AI, today unveiled new capabilities that leverage a combination of generative AI, large language models (LLMs), voice biometrics, and patented machine-learning technologies to help consumer brands acquire more customers and drive revenue growth. These updates unlock new, actionable insights from conversations that marketing, e-commerce, and contact center teams can use to drive efficiencies, deliver amazing customer experiences, and significantly improve conversion rates. With generative AI and LLMs affecting two critical aspects of the customer experience – search engines and the contact center – Invoca empowers brands to stay ahead of the curve. Especially in challenging economic times, companies must deploy AI to drive tangible business impact. Invoca continues to embed cutting-edge AI technology in workflows to improve marketing ROI, increase contact center productivity, and drive profitable growth in industries like healthcare, automotive, financial services, telecom, and travel/hospitality. Today's updates include a sophisticated mix of AI technologies, each chosen for its ability to solve specific business challenges and deliver superior ROI. These new features complement Invoca's broad base of patented AI technology, first introduced in 2015 and represented today in Invoca's flagship Signal AI offering, launched in 2017. With Invoca's new cutting-edge generative AI-powered features, consumer brands can drive revenue growth by powering digital advertising and contact center performance, tapping into a goldmine of insights from phone conversations, and supercharging contact center QA and agent coaching: Powering Digital Advertising and Contact Center Performance with Actionable Insights Rapid Custom AI Model Creation: Create custom algorithms faster than ever before to pinpoint unique, actionable insights from every phone conversation, such as the product a caller is interested in, if a qualified sales lead doesn't make a purchase, or if an agent fails to qualify the caller or handle objections according to your specific call flow. Using semantic search modeled after ChatGPT, users are shown specific moments from relevant calls to review and, with a few clicks, create an algorithm to classify similar conversations in the future. This game-changing update reduces required training data by over 90% and provides a "no code" approach to building highly accurate custom algorithms trained on each business's calls in less than 30 minutes of user review time. AI Smart Alerting: Notify key personnel of mission-critical exceptions in contact center operations. Contact center managers can be alerted right away when call handling or compliance issues arise, and marketing teams can understand fast-moving topics of conversation with customers, such as pricing or competitive shifts and changes in conversion rates and campaign results. Tapping Into a Goldmine of Insights From Phone Conversations ChatGPT Call Summaries: Get a succinct AI-generated call recap, highlighting the intent, interest, outcome, and flow of every conversation. Call summaries speed up quality assurance (QA) review, reduce manual post-call work for contact center agents, and help marketers get a deeper understanding of what's happening when their campaign leads call in. Structured Data Extraction: Improve agent post-call productivity and enrich consumer profiles by using AI-powered named entity recognition (NER) to identify and extract structured zero-party data – such as intricate product details– from unstructured conversations. For example, automotive dealerships, OEMs, and service centers can extract the vehicle year, make, and model discussed by a consumer and pass that data into lead management, CRM, and CDP applications for use in automated workflows. Supercharging Contact Center QA and Agent Coaching Agent Voice ID: AI-based agent voice biometric technology automatically analyzes every conversation to identify the specific agent that handled each call. This is valuable for contact centers and a breakthrough for multi-location and franchise businesses where multiple staff members answer calls from one shared phone number. AI Call Review Console: Designed for contact center QA managers to speed up the call review and agent coaching process, the AI-powered call review console highlights calls for managers to review, facilitates coaching and feedback, and enables teams to create and share call playlists for compliance, auditing, and insight extraction. "Since the introduction of Signal AI in 2017, Invoca has focused on providing innovative, no-code AI solutions that deliver measurable business results – for experts and ordinary business users alike," said Gregg Johnson, CEO of Invoca. "In this next phase of AI adoption, we're excited to combine generative AI and LLMs with our market-leading conversation intelligence technology to push the boundaries of what's possible for marketing, e-commerce, and contact center teams in their quest to drive efficient revenue growth." Invoca's award-winning AI has received multiple accolades. Opus Research named Invoca the Leader and Top Solution for Sales & Marketing in its 2022 Conversational Intelligence Intelliview. Forrester also named Invoca a Leader in The Forrester Wave™: Conversation Intelligence: Sales And Marketing, Q4 2021, claiming "Invoca is one of the few established conversation intelligence vendors that can legitimately claim AI capabilities." Since 2017, Invoca's pioneering Signal AI offering has powered marketing decision-making and increased digital and phone call conversion rates at leading brands with clear and tangible results. Banner Health decreased overall patient acquisition costs by 74%, DIRECTV saw a 110% improvement in sales agent close rates, Renewal by Andersen increased contact center appointment rates by 47%, and Spectrum Retirement experienced a 20% reduction in resident turnover. Availability Rapid custom AI model creation, AI smart alerting, ChatGPT call summaries, and Agent Voice ID are in beta with select customers today. Structured data extraction and AI call review console will be in beta in fall 2023. What Businesses Are Saying About the Impact of Invoca's AI DIRECTV: "Invoca's AI has become a critical part of our tech stack. It's given us full visibility into the call channel and significantly reduced our cost per acquisition. And we're just scratching the surface of what it can do." ~ Mark Loovis, Director of Marketing Technology at DIRECTV Banner Health: "Invoca's AI has been critical for boosting the performance of our different audience segments. It has helped us understand what a loyal vs. a non-loyal patient's experience looks like all the way through the funnel. From there, it has allowed us to improve the experience for each segment and build lasting loyalty." ~ Chris Pace, Chief Digital Marketing Officer at Banner Health Spectrum Retirement: "With Invoca, we let the machine learning do the work and score 100% of calls to our communities, identifying each agent's strengths and areas for improvement. Having this data in one platform for every location in real-time is a huge time-saver, and being able to tag calls in Invoca with comments has changed the game for how we coach agents." ~ Jeff Arduino, National Director of Sales at Spectrum Retirement Rick's Custom Fencing & Decking: "Invoca's AI not only measures the intent and outcome of every call, it analyzes the performance of our sales agents for the KPIs we care about. And now with Agent Voice ID, Invoca automatically identifies the specific agent on every call by analyzing their voiceprint. The technology is amazing — it's accurate and easy to use." ~ Taylor Wick, Director of Marketing at Rick's Custom Fencing & Decking About Invoca Invoca a recognized leader in conversation intelligence AI that enables marketing, sales, customer experience, and e-commerce teams to understand and immediately act on the information consumers share via conversations. Through deep integrations with leading technology platforms, revenue teams can turn conversation data into automated action to enhance every digital touchpoint and human interaction, leading to better experiences, more conversions, and higher revenue. Invoca is trusted by top brands like Dish Network, Mayo Clinic, Mutual of Omaha, and DIRECTV. Invoca has raised $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. For more information, visit www.invoca.com.

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General AI, AI Applications, Software

Phrasee Introduces AI Content Engine, Powering Superior, On-brand Content Generation for the World’s Leading Brands

Businesswire | June 08, 2023

Phrasee, the complete AI content platform for enterprise marketers, today introduced its industry-leading content generation capabilities to complement its AI-powered optimization solution that helps marketers achieve better results. Unlike other generative AI tools, Phrasee’s Content Engine combines the power of large language models (LLMs) with its proprietary controlled natural language generation (NLG). This unique combination means marketers can now generate on-brand, high-performing content for any marketing use case, all delivered via custom, no-code workflows. While many tools are racing to jump on the generative AI bandwagon, Phrasee has been perfecting the art of AI content generation for eight years, evolving its platform to fine-tune AI content to a brand's tone of voice and drive increased engagement via optimization. The Phrasee AI Content Engine uses deep learning that is trained on a unique data set of thousands of experiments and billions of marketing data points, resulting in a higher-quality creative output​ that is proven to perform. “We live in a world where anyone can create content on demand through LLMs and a simple, chat-based interface, but just because it’s created, doesn’t mean it’s good,” said Parry Malm, Phrasee CEO and co-founder. “Good content engages the target audience, builds brand recognition, and most importantly, drives results. We envision a future where the world’s top brands drive awesome marketing results through AI. And the Phrasee platform is doing exactly that today for our customers around the world.” Phrasee is the only platform that provides the full range of AI content capabilities – generation, optimization, personalization, and performance insights. Content created through Phrasee is crafted with industry-leading brand controls and performance optimized through deep learning and automated experimentation. Phrasee helps enterprise marketers achieve better results by: Creating content at scale Phrasee empowers marketing teams with unlimited creativity, generating high-quality, data-backed, on-brand content, at scale, across the digital customer journey: emails, product descriptions, ads, social posts, articles/blogs, push and SMS messaging, and web/app copy. Maximizing customer engagement and revenue Phrasee optimizes and personalizes content to increase engagement, conversions, and customer lifetime value with performance that doesn’t degrade over time. Granular performance data helps marketers track the actual impact AI content is driving for the business and key KPIs. Automating experimentation Phrasee makes it easy to test, learn, and iterate on marketing messages to deliver even better performance from digital campaigns. Easily experiment with content and ensure a brand’s best-performing messages reach the most people. The self-serve UI makes testing and optimization at scale a reality with multi-step workflows and out-of-the-box integrations. Providing deeper customer insights that eliminate guesswork Phrasee’s language insight reports analyze content experiments to reveal the words, emojis, and tones a brand’s audiences respond to most (and least) and how they evolve. Marketers can apply these learnings across their marketing efforts to ensure their messaging always resonates. “Our suite of new generative AI capabilities provides enterprise marketers with an exclusive combination of AI-powered tools that not only generate on-brand, high-quality content but add the ability to optimize and personalize that content to drive increased engagement and revenue. This is what good content looks like,” said Matt Simmonds, chief product and technology officer at Phrasee. “No other platform can provide this mix of solutions, and we are just getting started. Stay tuned for the release of more unique tools designed specifically to help enterprises embrace generative AI with confidence and achieve measurable results.” Contact us for a demo. Meet us at Salesforce Connections June 7-8 Meet the Phrasee team at Salesforce Connections in Chicago at the McCormick Place West Building from June 7-8 and learn how generative AI is helping marketers increase loyalty, engagement, and ROI through the power of AI-optimized marketing messages. Phrasee is an Explorer-level sponsor at this year’s Salesforce Connections, two of the biggest days in marketing, commerce, and customer-first innovation. Today, at 9:30 a.m. CDT, Home Chef will be taking the stage with Phrasee for the session, “How Generative AI is Maximizing Customer Engagement,” at the Lincoln Park Theater. Attendees will learn first-hand from Home Chef’s Lauren MacArtney, senior lifecycle marketing manager, and Natalie Mesgleski, lifecycle marketing associate, how AI-optimized content can boost click-through rates and drive greater ROI using Phrasee and Salesforce Marketing Cloud. They will be joined by Lindsey Nelson, Salesforce retail industry advisor, and Jasper Pye, Phrasee vice president of product. For more information about attending, check out Phrasee’s website. About Phrasee Phrasee believes in a future where enterprise marketers drive unprecedented results using AI. Phrasee’s AI-powered platform generates the best-performing content at scale and with enterprise-grade controls across digital channels to realize those results and enable customers to compete effectively in this always-on, digital world. Its platform creates, optimizes, and analyzes on-brand marketing content in real-time, proven to drive more clicks, conversions, and revenue across your email marketing, push notifications, SMS marketing, and more. Phrasee boosts customer engagement and increases lifetime value for the world’s leading brands, including Sephora, Sainsbury’s, Currys, Pet Supplies Plus, Novo Nordisk, and Williams Sonoma, all while maintaining their unique brand standards and voice.

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AI Tech

ZeroSum Introduces MARKETai, a Marketing Platform

ZeroSum | May 27, 2021

ZeroSum, a leading provider of software, data, and marketing automation services to the automotive industry, today announced the launch of MARKETai, its data-driven marketing platform. MARKETai is the industry's first AI-powered platform, bringing together massive amounts of data and technology to improve marketing performance: • All available inventory in the US • Machine learning • Patent-pending predictive technology • Major marketing channels • An audience of real-in-market shoppers Their cloud-based platform has an inventory of over 640 million VINs, and dealerships may target active shoppers using the cross-platform advertising system. "This exciting launch is in line with our objective to use big data to drive disruptive market growth. This application will benefit auto dealers and operators by combining our unique shopping audience with marketing automation in ways that will assist our customers in increasing its market share in key segments "Matt Sharp, Chief Digital Officer, said The 1:1 correlation between buyers and vehicle sales in ZeroSum allows for more precise targeting. As a result, ads and marketing campaigns will be more efficient and effective. Dealers can do real-time market analysis by using: • Sales conversion rates • Market turn rates • Days' supply • Competitive inventory MARKETai integrates with dealer data, allowing the system to capture relevant data about inventory and shoppers. The platform offers the Key performance metrics that dealers require: • Inventory Impressions and VDP Views • Conversion rates on lead sources • VIN Level marketing attribution These insights are important for successful omnichannel digital marketing. The predictive modeling technology used by MARKETai is a patent-pending application. It enables users to forecast and map a buyer's journey, as well as track the marketing process from lead generation to sales for all vehicles in their inventory. These features lead to increased optimization of vehicle detail pages (VDP) traffic and views on certain vehicles that require more attention to sell. Other efficiencies include logic and learning, which turn off or reduce the budget for units that are expected to move and already have the inventory views they need. MARKETai's creative graphics and visualizations of dealership data are a standout feature. This view allows all dealer employees to strategically engage in decision-making. MARKETai transforms data sets into coherent, relevant insights for marketers, sales managers, and business owners. Dealers may also rely on a ZeroSum Dealer Success Manager for customer support and a Managed SaaS platform experience. About ZeroSum ZeroSum is a software, marketing, and data leader. ZeroSum is simplifying and modernizing automotive marketing by using data and scaling ability to acquire new customers with its SaaS platform, MARKETai. ZeroSum is the first and only company that connects customer demand in real-time with automotive data.

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