AI Ops: It’s All about Data

All Global 2000 firms are awash in infrastructure data. Every device that an application flows through, be it network equipment, firewalls, servers, load balancers, cloud providers, service providers, storage, etc., provide data to communicate state metrics, events, logs, et al. That is, all the devices that an application depends upon to deliver the intended user experience have some data that provides insight into how it’s operating. The problem is using this data to understand user experience on an end-to-end basis is extremely difficult today as vendors don’t share this data with each other and even when the data is gathered into a central data lake the domain expertise needed is typically broad and distributed.

Spotlight

Iteo

"Iteo is a software house creating great mobile and web applications. We work in iOS, Android, Ruby/ROR, Python/Django and .Net. We are energetic and engaged team of 30 professionals. Working with us you can expect one thing; highest quality app delivered on time. We love our work, so do our customers. Every client is treated to personalised service. And we care. In fact we care a lot. We support business of over 100 awesome customers on 4 continents. Whether you need a full spectrum of services for your app idea or just a simple development we’re there to help. Our major is Automotive, Finance and mCommerce. We love working with Start-ups as well and we are actively engaged in Start-up community in Poland. "

OTHER ARTICLES
Software, Future Tech, Application Development Platform

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

Article | August 16, 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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Software, Low-Code App Development, Application Development Platform

Empowering Industry 4.0 with Artificial Intelligence

Article | August 4, 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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Neural Networks

How Artificial Intelligence Is Transforming Businesses

Article | September 15, 2023

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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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Spotlight

Iteo

"Iteo is a software house creating great mobile and web applications. We work in iOS, Android, Ruby/ROR, Python/Django and .Net. We are energetic and engaged team of 30 professionals. Working with us you can expect one thing; highest quality app delivered on time. We love our work, so do our customers. Every client is treated to personalised service. And we care. In fact we care a lot. We support business of over 100 awesome customers on 4 continents. Whether you need a full spectrum of services for your app idea or just a simple development we’re there to help. Our major is Automotive, Finance and mCommerce. We love working with Start-ups as well and we are actively engaged in Start-up community in Poland. "

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AI Tech

PSPDFKit Leads the AI Revolution in Intelligent Document Processing with Release of XtractFlow

PSPDFKit | January 23, 2024

PSPDFKit, a leading document processing and manipulation platform, announces the release of XtractFlow – a groundbreaking intelligent document processing (IDP) engine powered by generative AI. XtractFlow provides advanced automation for large-scale document classification and data extraction across a broad range of formats, with human-level accuracy. Due to the vast and varied document landscape, traditional IDP platforms are inefficient to run, requiring more resources, time and complex processes. Developers and automation project managers may require several days for setup and deployment of document classification, as well as face complexities with data extraction workflows when working with a broad range of formats in order to achieve high levels of accuracy. This is exacerbated by the limitation of using templates and pre-set patterns to extract data. XtractFlow addresses these challenges by simplifying setup and deployment to a single day and using generative AI from OpenAI and Azure in the first release to intelligently identify the document format, classify the types of documents co-mingled in unstructured storage, and consistently extract data, regardless of its location in the document, with human-level accuracy. AI-Powered Features Supports Hundreds of Formats XtractFlow efficiently extracts data from hundreds of document formats, including PDF, JPEG, Office and CAD files, regardless of document complexity. Automate Document Classification With minimal setup, XtractFlow automatically categorizes documents including contracts, legal filings, lab reports, bank statements and more, in high-volume workflows. Developers can easily customize deployment with either the XtractFlow SDK or API. Extract Data Accurately and Effortlessly XtractFlow effortlessly interprets and retrieves the data users need, avoiding extensive coding and the strict rules for data extraction with a no-code approach, and enables a natural-language experience for the end users. "We've always felt we could go far beyond traditional IDP technology — more accuracy and more intelligence — along with less work spent setting and tuning it for specific workflows," says Miloš Đekić, Vice President of Product Management at PSPDFKit. "Generative AI has enabled us to deliver XtractFlow and bring human-level accuracy to document classification and data extraction in a way that significantly accelerates time to value for our customers." XtractFlow supports PSPDFKit customer data security standards with a strict non-storage policy and aligns with global data retention standards, ensuring integrity and security at every step of your applications and business processes. About PSPDFKit PSPDFKit is helping the world innovate beyond paper with its developer tools, API services, and low-code solutions covering the entire document lifecycle from creation, manipulation, real-time collaboration, signing and markup. The company's products cover all major platforms and support a wide range of programming languages and can be deployed on-premise or in the cloud with ease and at any scale. PSPDFKit has earned its developer first reputation by pioneering products that are easily integrated, completely customizable to fit any deployment and workflow, and trusted by startups, SMBs and some of the largest multinational enterprises.

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Software

ON24 Unveils its Next Generation Platform, Unleashing a New Era of AI-powered Intelligent Engagement

ON24 | January 24, 2024

Today, ON24 marks the next chapter of its innovation strategy with the launch of its next generation intelligent engagement platform. With AI-powered intelligence at the core, ON24 will now enable enterprises to continuously engage audiences through hyper-personalized experiences that deliver connected insights and drive cost-efficient revenue growth. “AI will fundamentally reshape sales and marketing and reimagine the customer experience. This means that sales and marketing teams must embrace AI to innovate and adapt, or risk being left behind,” says Sharat Sharan, co-founder, President and CEO. “With the launch of the ON24 Intelligent Engagement Platform, we are excited to leverage our unique foundation of first-party data to give our industry-leading customers an AI advantage, so that they can combine best-in-class experiences, personalization and content, to capture and act on connected data and insights at scale to drive revenue growth. And, we believe AI will continue to be a key differentiation for our own business and technology strategy moving forward, powering a new era of intelligent engagement.” Built on its foundation of first-party data, the ON24 Intelligent Engagement Platform combines best-in-class digital experiences, including the company’s flagship webinar, virtual event and content marketing products, with its new AI-powered Analytics and Content Engine (ACE) to provide an integrated go-to-market solution. The platform’s comprehensive set of capabilities will help sales and marketing teams to: Scale personalized experiences: Build best-in-class, branded experiences that reach their prospects and customers at scale and are hyper-personalized for individuals. Automate continuous engagement: Interact with prospects and customers 24/7 through AI-generated content and always-on nurtures. Deliver connected insights: Track audience engagement data across interactions and analyze engagement across key audience segments. Drive revenue growth: Enable data-driven actions across go-to-market teams to generate pipeline and build lifetime customer relationships. “Today’s launch of the ON24 Intelligent Engagement Platform brings our AI innovation together with more than a decade of market leadership, product development and first-party engagement data,” said Jayesh Sahasi, EVP of Product and CTO at ON24. “We believe this will unlock even greater value for our customers, providing AI-powered intelligence that keeps getting smarter, more personalized and more effective over time." ​​About ON24 ON24 is on a mission to help businesses bring their go-to-market strategy into the AI era and drive cost-effective revenue growth. Through its leading intelligent engagement platform, ON24 enables customers to combine best-in-class experiences with personalization and content, to capture and act on connected insights at scale. ON24 provides industry-leading companies, including 3 of the 5 largest global technology companies, 3 of the 5 top global asset management firms, 3 of the 5 largest global healthcare companies and 3 of the 5 largest global industrial companies, with a valuable source of first-party data to drive sales and marketing innovation, improve efficiency and increase business results. Headquartered in San Francisco, ON24 has offices globally in North America, EMEA and APAC. For more information, visit www.ON24.com.

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AI Tech

Qlik Launches AI Council to Responsibly Accelerate Enterprise Adoption of AI

Qlik | January 25, 2024

<p> Qlik, a global leader in data analytics and integration, today announces the establishment of its inaugural AI Council &ndash; an initiative that further embeds leading edge, ethical AI development at the heart of the company&rsquo;s mission and industry proposition. By convening a distinguished set of advisors, Qlik will accelerate the responsible development of its AI-driven product portfolio, benefitting from the expertise of some of the world&rsquo;s most prominent AI experts, to help customers use their data to achieve more significant business outcomes.</p> <p> Qlik&rsquo;s Generative AI Benchmark Report found that 31% of senior executives plan to spend over $10 million on generative AI initiatives in the coming year and 79% have already invested in generative AI tools or projects. Despite this enthusiasm, it also found that they understand the need to surround them with the right data strategies to realize their potential. If the data building blocks of AI are not governed properly as it is democratized across the entire workforce, it could present a serious threat to the efficiency and integrity of business operations. The AI Council has been established to help Qlik&rsquo;s customers navigate these challenges and advise on best practices.</p> <p> Members of the Council will work within Qlik to guide the company&rsquo;s R&amp;D direction, inform its product roadmap and ensure its customers&rsquo; use of Qlik&rsquo;s AI is built with responsibility and ethics front of mind. The Council will also educate Qlik leaders and employees on how to harness the full potential of AI, while providing insights into the priorities of business leaders tasked with demonstrating value from AI investment.</p> <p> The AI Council features some of the most renowned subject matter experts from around the world. More information on these members can be found on our Qlik Staige website:</p> <ul> <li> <strong>Nina Schick &ndash; Author, Advisor and Founder of an advisory firm focused on GenAI</strong><br /> A world-leading authority on generative AI, Nina has long been analyzing emerging technology trends for society. With over two decades of geopolitical experience, she has advised global leaders, including Joe Biden, President of the United States, and was articulating her vision of the &lsquo;AI inflexion point&rsquo; years before ChatGPT made AI a global phenomenon.</li> </ul> <ul> <li> <strong>Dr. Rumman Chowdhury &ndash; Responsible AI leader, engineer, auditor and investor</strong><br /> Rumman is a pioneer in the field of applied algorithmic ethics, creating cutting-edge socio-technical solutions for ethical, explainable and transparent AI. She is currently the CEO and founder of Humane Intelligence, a tech nonprofit that builds a community of practice around algorithmic evaluations. She has also served on multiple boards, including the UK Center for Data Ethics and Innovation, and on UN&rsquo;s Broadband Commission for Sustainable Development, Oxford University&rsquo;s Commission on AI and Governance, and Patterns data science journal. Previously, Rumman was the Director of META (ML Ethics, Transparency, and Accountability) team at Twitter, leading a team of applied researchers and engineers to identify and mitigate algorithmic harms on the platform.</li> </ul> <ul> <li> <strong>Kelly Forbes &ndash; Co-Founder and Executive Director, AI Asia Pacific Institute</strong><br /> Kelly sits at the intersection of policy, research and industry, working with leading organizations and governments to address the risks associated with AI through international cooperation. With extensive experience in the Asia-Pacific region, Kelly has conducted research on AI governance, public-private dialogue and government policy issues.</li> </ul> <ul> <li> <strong>Dr. Michael Bronstein &ndash; DeepMind Professor of Artificial Intelligence, University of Oxford</strong><br /> An award-winning academic, Michael was previously Head of Graph Learning Research at Twitter, a professor at Imperial College London and has held visiting appointments at Stanford, MIT, and Harvard. Michael is also a serial entrepreneur, having founded startups such as Novafora, Invision (acquired by Intel in 2012), Videocites and Fabula AI (acquired by Twitter in 2019).</li> </ul> <p> &quot;The formation of Qlik&#39;s AI Council is a strategic leap, reflecting our deep-seated commitment to not just advancing AI, but doing so with ethical integrity and practical applicability,&quot; said Mike Capone, CEO of Qlik. &quot;Our goal is crystal clear: to enable our customers to harness AI in a way that&#39;s not only transformative, but also responsible. By uniting a cadre of AI luminaries, we are sharpening our focus on delivering AI solutions that are not just cutting-edge, but also seamlessly integrated and governed. This initiative is a pivotal chapter in our journey, marking a bold move towards democratizing AI in a manner that is both accessible and aligned with our core mission of driving substantial, data-driven business outcomes.&quot;</p> <p> Data and analytics leaders from around the world can hear from the AI Council at Qlik Connect, which takes place on June 3-5 in Orlando, Florida. At the pre-eminent event for data analytics, integration, and AI, Council members will share their take on the opportunities and challenges for businesses exploring the value of automation in their data strategy. Additional details and event registration is at www.qlikconnect.com</p> <p> &ldquo;I am excited to join Qlik&rsquo;s AI Council and work with some of the greatest minds in AI to optimize how businesses around the world use data,&rdquo; said Rumman Chowdhury, member of Qlik&rsquo;s AI Council. &ldquo;We&rsquo;ve reached an inflection point where innovations like generative AI are impacting the world as the internet did. This is not the time for complacency. &lsquo;Adopting AI&rsquo; is not as simple as some suggest, but getting left behind is a risky game. By taking responsible steps, organizations can enter an era of unprecedented innovation &ndash; I look forward to being able to contribute to this evolution.&rdquo;</p> <p> &ldquo;In working at JBS USA, I recognize the significance of Qlik&#39;s advancements in AI, embodying a responsible and pragmatic approach to enterprise AI development,&rdquo; said Stephanie Robinson, IT Business Intelligence Manager at JBS. &ldquo;Qlik&#39;s dedication to enhancing AI applications aligns with our focus on employing technology to drive substantial business outcomes. We value Qlik&#39;s commitment to ethical AI practices and are optimistic about the beneficial impact this will have on the industry.&rdquo;</p> <p> <strong>About Qlik</strong><br /> Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages advanced, enterprise-grade AI/ML and pervasive data quality. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.</p> <p> 2024 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.</p> <p> The development, release and timing of any product or functionality described herein remain at the sole discretion of Qlik and should not be relied upon in making a purchasing decision.</p>

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AI Tech

PSPDFKit Leads the AI Revolution in Intelligent Document Processing with Release of XtractFlow

PSPDFKit | January 23, 2024

PSPDFKit, a leading document processing and manipulation platform, announces the release of XtractFlow – a groundbreaking intelligent document processing (IDP) engine powered by generative AI. XtractFlow provides advanced automation for large-scale document classification and data extraction across a broad range of formats, with human-level accuracy. Due to the vast and varied document landscape, traditional IDP platforms are inefficient to run, requiring more resources, time and complex processes. Developers and automation project managers may require several days for setup and deployment of document classification, as well as face complexities with data extraction workflows when working with a broad range of formats in order to achieve high levels of accuracy. This is exacerbated by the limitation of using templates and pre-set patterns to extract data. XtractFlow addresses these challenges by simplifying setup and deployment to a single day and using generative AI from OpenAI and Azure in the first release to intelligently identify the document format, classify the types of documents co-mingled in unstructured storage, and consistently extract data, regardless of its location in the document, with human-level accuracy. AI-Powered Features Supports Hundreds of Formats XtractFlow efficiently extracts data from hundreds of document formats, including PDF, JPEG, Office and CAD files, regardless of document complexity. Automate Document Classification With minimal setup, XtractFlow automatically categorizes documents including contracts, legal filings, lab reports, bank statements and more, in high-volume workflows. Developers can easily customize deployment with either the XtractFlow SDK or API. Extract Data Accurately and Effortlessly XtractFlow effortlessly interprets and retrieves the data users need, avoiding extensive coding and the strict rules for data extraction with a no-code approach, and enables a natural-language experience for the end users. "We've always felt we could go far beyond traditional IDP technology — more accuracy and more intelligence — along with less work spent setting and tuning it for specific workflows," says Miloš Đekić, Vice President of Product Management at PSPDFKit. "Generative AI has enabled us to deliver XtractFlow and bring human-level accuracy to document classification and data extraction in a way that significantly accelerates time to value for our customers." XtractFlow supports PSPDFKit customer data security standards with a strict non-storage policy and aligns with global data retention standards, ensuring integrity and security at every step of your applications and business processes. About PSPDFKit PSPDFKit is helping the world innovate beyond paper with its developer tools, API services, and low-code solutions covering the entire document lifecycle from creation, manipulation, real-time collaboration, signing and markup. The company's products cover all major platforms and support a wide range of programming languages and can be deployed on-premise or in the cloud with ease and at any scale. PSPDFKit has earned its developer first reputation by pioneering products that are easily integrated, completely customizable to fit any deployment and workflow, and trusted by startups, SMBs and some of the largest multinational enterprises.

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Software

ON24 Unveils its Next Generation Platform, Unleashing a New Era of AI-powered Intelligent Engagement

ON24 | January 24, 2024

Today, ON24 marks the next chapter of its innovation strategy with the launch of its next generation intelligent engagement platform. With AI-powered intelligence at the core, ON24 will now enable enterprises to continuously engage audiences through hyper-personalized experiences that deliver connected insights and drive cost-efficient revenue growth. “AI will fundamentally reshape sales and marketing and reimagine the customer experience. This means that sales and marketing teams must embrace AI to innovate and adapt, or risk being left behind,” says Sharat Sharan, co-founder, President and CEO. “With the launch of the ON24 Intelligent Engagement Platform, we are excited to leverage our unique foundation of first-party data to give our industry-leading customers an AI advantage, so that they can combine best-in-class experiences, personalization and content, to capture and act on connected data and insights at scale to drive revenue growth. And, we believe AI will continue to be a key differentiation for our own business and technology strategy moving forward, powering a new era of intelligent engagement.” Built on its foundation of first-party data, the ON24 Intelligent Engagement Platform combines best-in-class digital experiences, including the company’s flagship webinar, virtual event and content marketing products, with its new AI-powered Analytics and Content Engine (ACE) to provide an integrated go-to-market solution. The platform’s comprehensive set of capabilities will help sales and marketing teams to: Scale personalized experiences: Build best-in-class, branded experiences that reach their prospects and customers at scale and are hyper-personalized for individuals. Automate continuous engagement: Interact with prospects and customers 24/7 through AI-generated content and always-on nurtures. Deliver connected insights: Track audience engagement data across interactions and analyze engagement across key audience segments. Drive revenue growth: Enable data-driven actions across go-to-market teams to generate pipeline and build lifetime customer relationships. “Today’s launch of the ON24 Intelligent Engagement Platform brings our AI innovation together with more than a decade of market leadership, product development and first-party engagement data,” said Jayesh Sahasi, EVP of Product and CTO at ON24. “We believe this will unlock even greater value for our customers, providing AI-powered intelligence that keeps getting smarter, more personalized and more effective over time." ​​About ON24 ON24 is on a mission to help businesses bring their go-to-market strategy into the AI era and drive cost-effective revenue growth. Through its leading intelligent engagement platform, ON24 enables customers to combine best-in-class experiences with personalization and content, to capture and act on connected insights at scale. ON24 provides industry-leading companies, including 3 of the 5 largest global technology companies, 3 of the 5 top global asset management firms, 3 of the 5 largest global healthcare companies and 3 of the 5 largest global industrial companies, with a valuable source of first-party data to drive sales and marketing innovation, improve efficiency and increase business results. Headquartered in San Francisco, ON24 has offices globally in North America, EMEA and APAC. For more information, visit www.ON24.com.

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AI Tech

Qlik Launches AI Council to Responsibly Accelerate Enterprise Adoption of AI

Qlik | January 25, 2024

<p> Qlik, a global leader in data analytics and integration, today announces the establishment of its inaugural AI Council &ndash; an initiative that further embeds leading edge, ethical AI development at the heart of the company&rsquo;s mission and industry proposition. By convening a distinguished set of advisors, Qlik will accelerate the responsible development of its AI-driven product portfolio, benefitting from the expertise of some of the world&rsquo;s most prominent AI experts, to help customers use their data to achieve more significant business outcomes.</p> <p> Qlik&rsquo;s Generative AI Benchmark Report found that 31% of senior executives plan to spend over $10 million on generative AI initiatives in the coming year and 79% have already invested in generative AI tools or projects. Despite this enthusiasm, it also found that they understand the need to surround them with the right data strategies to realize their potential. If the data building blocks of AI are not governed properly as it is democratized across the entire workforce, it could present a serious threat to the efficiency and integrity of business operations. The AI Council has been established to help Qlik&rsquo;s customers navigate these challenges and advise on best practices.</p> <p> Members of the Council will work within Qlik to guide the company&rsquo;s R&amp;D direction, inform its product roadmap and ensure its customers&rsquo; use of Qlik&rsquo;s AI is built with responsibility and ethics front of mind. The Council will also educate Qlik leaders and employees on how to harness the full potential of AI, while providing insights into the priorities of business leaders tasked with demonstrating value from AI investment.</p> <p> The AI Council features some of the most renowned subject matter experts from around the world. More information on these members can be found on our Qlik Staige website:</p> <ul> <li> <strong>Nina Schick &ndash; Author, Advisor and Founder of an advisory firm focused on GenAI</strong><br /> A world-leading authority on generative AI, Nina has long been analyzing emerging technology trends for society. With over two decades of geopolitical experience, she has advised global leaders, including Joe Biden, President of the United States, and was articulating her vision of the &lsquo;AI inflexion point&rsquo; years before ChatGPT made AI a global phenomenon.</li> </ul> <ul> <li> <strong>Dr. Rumman Chowdhury &ndash; Responsible AI leader, engineer, auditor and investor</strong><br /> Rumman is a pioneer in the field of applied algorithmic ethics, creating cutting-edge socio-technical solutions for ethical, explainable and transparent AI. She is currently the CEO and founder of Humane Intelligence, a tech nonprofit that builds a community of practice around algorithmic evaluations. She has also served on multiple boards, including the UK Center for Data Ethics and Innovation, and on UN&rsquo;s Broadband Commission for Sustainable Development, Oxford University&rsquo;s Commission on AI and Governance, and Patterns data science journal. Previously, Rumman was the Director of META (ML Ethics, Transparency, and Accountability) team at Twitter, leading a team of applied researchers and engineers to identify and mitigate algorithmic harms on the platform.</li> </ul> <ul> <li> <strong>Kelly Forbes &ndash; Co-Founder and Executive Director, AI Asia Pacific Institute</strong><br /> Kelly sits at the intersection of policy, research and industry, working with leading organizations and governments to address the risks associated with AI through international cooperation. With extensive experience in the Asia-Pacific region, Kelly has conducted research on AI governance, public-private dialogue and government policy issues.</li> </ul> <ul> <li> <strong>Dr. Michael Bronstein &ndash; DeepMind Professor of Artificial Intelligence, University of Oxford</strong><br /> An award-winning academic, Michael was previously Head of Graph Learning Research at Twitter, a professor at Imperial College London and has held visiting appointments at Stanford, MIT, and Harvard. Michael is also a serial entrepreneur, having founded startups such as Novafora, Invision (acquired by Intel in 2012), Videocites and Fabula AI (acquired by Twitter in 2019).</li> </ul> <p> &quot;The formation of Qlik&#39;s AI Council is a strategic leap, reflecting our deep-seated commitment to not just advancing AI, but doing so with ethical integrity and practical applicability,&quot; said Mike Capone, CEO of Qlik. &quot;Our goal is crystal clear: to enable our customers to harness AI in a way that&#39;s not only transformative, but also responsible. By uniting a cadre of AI luminaries, we are sharpening our focus on delivering AI solutions that are not just cutting-edge, but also seamlessly integrated and governed. This initiative is a pivotal chapter in our journey, marking a bold move towards democratizing AI in a manner that is both accessible and aligned with our core mission of driving substantial, data-driven business outcomes.&quot;</p> <p> Data and analytics leaders from around the world can hear from the AI Council at Qlik Connect, which takes place on June 3-5 in Orlando, Florida. At the pre-eminent event for data analytics, integration, and AI, Council members will share their take on the opportunities and challenges for businesses exploring the value of automation in their data strategy. Additional details and event registration is at www.qlikconnect.com</p> <p> &ldquo;I am excited to join Qlik&rsquo;s AI Council and work with some of the greatest minds in AI to optimize how businesses around the world use data,&rdquo; said Rumman Chowdhury, member of Qlik&rsquo;s AI Council. &ldquo;We&rsquo;ve reached an inflection point where innovations like generative AI are impacting the world as the internet did. This is not the time for complacency. &lsquo;Adopting AI&rsquo; is not as simple as some suggest, but getting left behind is a risky game. By taking responsible steps, organizations can enter an era of unprecedented innovation &ndash; I look forward to being able to contribute to this evolution.&rdquo;</p> <p> &ldquo;In working at JBS USA, I recognize the significance of Qlik&#39;s advancements in AI, embodying a responsible and pragmatic approach to enterprise AI development,&rdquo; said Stephanie Robinson, IT Business Intelligence Manager at JBS. &ldquo;Qlik&#39;s dedication to enhancing AI applications aligns with our focus on employing technology to drive substantial business outcomes. We value Qlik&#39;s commitment to ethical AI practices and are optimistic about the beneficial impact this will have on the industry.&rdquo;</p> <p> <strong>About Qlik</strong><br /> Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages advanced, enterprise-grade AI/ML and pervasive data quality. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.</p> <p> 2024 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.</p> <p> The development, release and timing of any product or functionality described herein remain at the sole discretion of Qlik and should not be relied upon in making a purchasing decision.</p>

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