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

From Development to Deployment: End-to-End DevOps Automation
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 4.  Configuration Management 5.  Top Providers for DevOps Security and Collaboration 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 to collaborate 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 dependencies through containers. 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 if issues 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 Automation
 

5.1 LambdaTest

LambdaTest is a leading AI-powered unified test execution cloud platform, designed to meet the diverse needs of over 2 million users across 130 countries. With its emphasis on reducing time to market through accelerated test execution and quality assurance, LambdaTest offers a comprehensive suite of testing services, including live and automated cross-browser testing, real device testing, AI-powered visual regression testing, and OTT app testing. The platform integrates seamlessly into the CI/CD pipeline, providing enterprises with options for public cloud, dedicated cloud, or on-premise deployment.

5.2 Katalon

Katalon is a cutting-edge quality management platform that empowers quality assurance, DevOps, and software teams to accelerate the efficient delivery of world-class customer experiences. Catering to over 30,000 teams worldwide, Katalon streamlines end-to-end software development with its capabilities in authoring, executing, and analyzing test automation across any application or environment. The platform's versatility is evident in its support for testing any app type through a single, all-encompassing solution enhanced by AI, to accelerate test creation and scale testing efforts. With features like no-code test recording, drag-and-drop test objects, native CI/CD integrations, and AI-powered regression testing, Katalon simplifies test automation, making it accessible for beginners while robust enough for experienced professionals.

5.3 Leapwork

Leapwork stands out as a pioneering AI-powered visual test automation platform, distinguished by its ability to enhance speed and efficiency in software testing significantly. Recognized as a Representative Vendor in the 2022 Gartner Market Guide for AI-Augmented Software Testing Tools and acclaimed for its remarkable ROI of 209% in 'The Total Economic Impact' study by Forrester, Leapwork has solidified its position as a leader in the industry. With a user-friendly visual interface akin to assembling Lego blocks, the platform ensures that enterprise teams can quickly learn, build, and maintain automation within an average ramp-up time of less than 30 days. Capable of working across all applications, Leapwork is ideally suited for enterprises with intricate tech stacks, leading to its adoption by hundreds of global enterprises across various industries, including notable clients like Mercedes Benz, PayPal, and Beckman Coulter.

5.4 Sauce Labs

Sauce Labs is recognized as a forefront provider of continuous testing and error reporting solutions, facilitating the development, delivery, and maintenance of high-quality code at unparalleled speed. With over four billion tests conducted on its comprehensive, unified test platform, Sauce Labs offers an unrivaled continuous testing solution globally, providing a 360-degree view of application experiences. Demonstrating significant business value, Sauce Labs has reported a 217% ROI, a payback period of less than six months, and a net present value of $6.8M, achieving up to 90% savings in developer and QA time. Trusted by industry leaders such as Stripe, Walmart, and Verizon Media, Sauce Labs empowers enterprises to improve user experience quality efficiently, supporting a wide array of testing needs, including cross-browser, mobile, API, and visual testing.

5.5 Opkey

Opkey is revolutionizing test automation with its No-Code Test Automation platform, offering unparalleled efficiency and ease of use for business users and IT professionals. By instantly generating necessary test cases and transforming them into automated tests with a single click, Opkey accelerates digital transformation initiatives, enabling customers to achieve an average of 75% savings compared to manual testing. As the official Oracle partner and the top-rated app on the Oracle Cloud Marketplace, alongside being the only certified automated testing platform for Coupa and supporting over 150 technologies, Opkey has garnered industry recognition from Gartner, Forrester, and G2 Crowd, solidifying its position as a leader in providing cutting-edge test automation solutions.

5.6 SmartBear

SmartBear stands at the forefront of technology innovation, providing a comprehensive portfolio of trusted development and testing tools that enhance software quality and performance. With a focus on test management and automation, API development lifecycle, and application stability, the DevOps management platform ensures unparalleled visibility into the entire software development process, empowering teams to deliver superior user experiences. Dedicated to fostering a vibrant peer-to-peer community and committed to ethical corporate practices, SmartBear meets the dynamic needs of software teams dand strives to make the technology-driven world a better place through its commitment to social responsibility and open-source initiatives.

5.7 Cyara

Cyara is at the vanguard of customer experience (CX) transformation, offering an AI-based CX transformation platform that enables enterprises to perfect interactions across multiple channels, including voice, video, digital, and chatbot experiences. Esteemed for facilitating continuous innovation and improvement in customer journeys, Cyara significantly reduces operational costs and mitigates risks associated with delivering high-quality customer interactions. Boasting a remarkable 96% customer retention rate and a world-class Net Promoter Score (NPS), the company is the trusted partner for leading global brands, ensuring exceptional customer satisfaction at scale. With its comprehensive approach, it accelerates the pace of innovation, assures a 334% ROI with payback in less than six months, and seamlessly integrates with major technology platforms, making it an indispensable tool for enterprises aiming to deliver flawless customer experiences.

5.8 Copado

Copado is redefining Salesforce development and testing with its unified CI/CD pipelines and AI-powered automated testing platform explicitly tailored for Salesforce environments. The introduction of Copado Explorer as the most straightforward Salesforce testing tool signifies Copado's commitment to streamlining quality assurance processes and eliminating the back-and-forth typically associated with testing. The platform's low-code development approach and intelligent test automation ensure applications work flawlessly from the first release. Moreover, Copado's end-to-end platform features empower teams with on-demand visibility, timely project delivery, and seamless integration across tech stacks, significantly reducing production bugs and facilitating agile development practices.

5.9 Qmetry

QMetry emerges as a pivotal automation company in DevOps engineered for Agile testing and DevOps teams, aimed at accelerating the development, management, and deployment of quality software with enhanced confidence. Catering to the imperative demand for quality software in digital transformation initiatives, it equips enterprises with a comprehensive agile testing solution, encompassing complete test management, test automation, and profound quality metrics and analytics. The QMetry suite, inclusive of QMetry test management, QMetry automation studio, and QMetry test management for Jira (QTM4J), stands out for its AI-driven quality orchestration capabilities, promoting rapid scalability, compliance-driven testing, and enhanced return on investment. Through its pioneering Gen AI features like intelligent search, automated test case generation, and flaky test detection, QMetry optimizes productivity and reusability and significantly shortens time to market, serving as an indispensable asset for enterprises striving for excellence in quality software delivery.

5.10 Delphix

Delphix is the industry benchmark in DevOps test data management, offering a pivotal solution for businesses navigating the complexities of accelerating application delivery while ensuring data security and compliance. Serving as a catalyst for modernization, multi-cloud adoption, CI/CD achievement, and efficient recovery from downtime events like ransomware attacks, up to twice as fast, Delphix empowers customers to enhance developer productivity by 40%, reduce infrastructure costs by 72%, diminish business risk by 76%, and improve development refresh rates by 91%. Esteemed for its significant impact, as validated by an IDC report highlighting increased application release velocity and cost reduction, Delphix is trusted by the world's leading corporations.


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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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

AI and Big Data Expo North America announces leading Speaker Lineup

TechEx Events | March 07, 2024

AI and Big Data Expo North America announces new speakers! SANTA CLARA, CALIFORNIA, UNITED STATES, February 26, 2024 /EINPresswire.com/ -- TheAI and Big Expo North America, the leading event for Enterprise AI, Machine Learning, Security, Ethical AI, Deep Learning, Data Ecosystems, and NLP, has announced a fresh cohort of distinguishedspeakersfor its upcoming conference at the Santa Clara Convention Center on June 5-6, 2024. Some of the top industry speakers set to take the stage are: - Sam Hamilton - Head of Data & AI – Visa - Dr Astha Purohit - Director - Product (Tech) Ops – Walmart - Noorddin Taj - Head of Architecture and Design of Intelligent Operations - BP - Temi Odesanya - Director - AI Governance Automation - Thomson Reuters - Katie Sanders - Assistant Vice President – Tech - Union Pacific Railroad - Prasanth Nandanuru – SVP - Wells Fargo - Rodney Brooks - Professor Emeritus - MIT These esteemed speakers bring a wealth of knowledge and expertise to an already impressive lineup, promising attendees a truly enlightening experience. In addition to the speakers, theAI and Big Data Expo North Americawill feature a series of presentations covering a diverse range of topics in AI and Big Data exploring the latest innovations, implementations and strategies across a range of industries. Attendees can expect to gain valuable insights and practical strategies from presentations such as: How Gen AI Positively Augments Workforce Capabilities Trends in Computer Vision: Applications, Datasets, and Models Getting to Production-Ready: Challenges and Best Practices for Deploying AI Ensuring Your AI is Responsible and Ethical Mitigating Bias and Promoting Fairness in AI Systems Security Challenges in the Era of Gen AI and Data Science AI for Good: Social Impact and Ethics Selling Data Democratization to Executives Spreading Data Insights across the Business Barriers to Overcome: People, Processes, and Technology Optimizing the Customer Experience with AI Using AI to Drive Growth in a Regulated Industry Building an MLOps Foundation for AI at Scale The Expo offers a platform for exploration and discovery, showcasing how cutting-edge technologies are reshaping a myriad of industries, including manufacturing, transport, supply chain, government, legal sectors, financial services, energy, utilities, insurance, healthcare, retail, and more. Attendees will have the chance to witness firsthand the transformative power of AI and Big Data across various sectors, gaining insights that are crucial for staying ahead in today's rapidly evolving technological landscape. Anticipating a turnout of over 7000 attendees and featuring 200 speakers across various tracks, AI and Big Data Expo North America offers a unique opportunity for CTO’s, CDO’s, CIO’s , Heads of IOT, AI /ML, IT Directors and tech enthusiasts to stay abreast of the latest trends and innovations in AI, Big Data and related technologies. Organized by TechEx Events, the conference will also feature six co-located events, including the IoT Tech Expo, Intelligent Automation Conference, Cyber Security & Cloud Congress, Digital Transformation Week, and Edge Computing Expo, ensuring a comprehensive exploration of the technological landscape. Attendees can choose from various ticket options, providing access to engaging sessions, the bustling expo floor, premium tracks featuring industry leaders, a VIP networking party, and a sophisticated networking app facilitating connections ahead of the event. Secure your ticket with a 25% discount on tickets, available until March 31st, 2024. Save up to $300 on your ticket and be part of the conversation shaping the future of AI and Big Data technologies. For more information and to secure your place at AI and Big Data Expo North America, please visit https://www.ai-expo.net/northamerica/. About AI and Big Data Expo North America: The AI and Big Data Expo North America is a leading event in the AI and Big Data landscape, serving as a nexus for professionals, industry experts, and enthusiasts to explore and navigate the ever-evolving technological frontier. Through its focus on education, networking, and collaboration, the Expo continues to be a beacon for those eager to stay at the forefront of technological innovation. “AI and Big Data Expo North Americais a part ofTechEx. For more information regardingTechExplease see onlinehere.”

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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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Events