Opsera leverages its DevOps platform and integrations and builds AI agents and frameworks to revolutionize the software delivery management process with a unique approach to automating data orchestration.
Opsera is now part of Databricks’ Built on Partner Program and Technology Partner Program.

The partnership enables:
● AI/ML Model Deployments with Security and Compliance Guardrails: Opsera
ensures that model training and deployment using Databricks infrastructure meets
security and quality guardrails and thresholds before deployment. Proper model training
allows customers to optimize Databricks Mosaic AI usage and reduce deployment risks.

● Schema Deployments with Rollback Capabilities: Opsera facilitates controlled
schema deployments in Databricks with built-in rollback features for enhanced flexibility
and confidence. Customers gain better change management and compliance tracking
and reduce unfettered production deployments, leading to increased adoption of
Databricks and enhanced value of automation pipelines.

“The development of advanced LLM models and Enterprise AI solutions continues to fuel an
insatiable demand for data,” said Torsten Volk, Principal Analyst at Enterprise Strategy Group.
“Partnerships between data management and data orchestration vendors to simplify the
ingestion and ongoing management of these vast flows of data are necessary responses to
these complex and extremely valuable AI efforts.”

Additional benefits of the Opsera and Databricks partnership include:
● Powerful ETL (Extract, Transform, Load) Capabilities: Databricks’ Spark-based
engine enables efficient ETL from various sources into a centralized data lake. This
empowers Opsera to collect and orchestrate vast amounts of data, increasing developer
efficiency and accelerating data processing efficiency.
● Scalable and Flexible Data Intelligence Platform: Databricks’ Delta UniForm and
Unity Catalog provide a scalable, governed, interoperable, and reliable Data Lakehouse
solution, enabling Opsera to orchestrate large volumes of structured and unstructured
data efficiently.
● Advanced Analytics and ML: Databricks Mosaic AI’s integrated machine learning
capabilities allow Opsera to efficiently build and deploy AI/ML models for predictive
analytics, anomaly detection and other advanced use cases.
● Seamless Integration: Databricks integrates seamlessly with Opsera’s existing
technology stack, facilitating smooth data flow and enabling end-to-end visibility of the
DevOps platform.

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Businesses are often overwhelmed by the cost and complexity of traditional SaaS applications, which are slow to implement, overengineered, and have low adoption rates. In contrast, Creatio “Energy” heralds a new era of enterprise software – built on no-code and AI – that delivers greater economic value, provides engaging user experiences, and replaces static forms and data with conversational prompts that drive deep insights.   This new approach enables businesses to realize productivity savings of up to 80% for key knowledge worker roles, unlocking new levels of efficiency.

“With the launch of ‘Energy,’ Creatio continues to disrupt the business automation landscape with no-code and AI,” said Katherine Kostereva, CEO at Creatio. “The release combines agentic, generative, and prescriptive AI with our no-code tools, empowering business technologists to innovate and optimize operations like never before. Creatio Copilot delivers a unified AI architecture with a robust set of the latest AI capabilities, all easily configured with no-code tools and ready to use from day one.”

“With Creatio modern technology, we’ve been able to realize value extremely fast, boost front-office productivity, increase average order size, and streamline our commercial processes – all without the need for IT and development resources,” adds Jim Slomka, Chief Revenue Officer at BSN Sports and a Creatio customer.

According to the September 2024 Forrester report, The Four Agreements of Modern Business Apps, “AI is the force that most clearly marks the upcoming new era of business apps. To survive — and even thrive — in this new era, vendors must reimagine business apps to offer greater streams of value. They must become truly intelligent, dynamic, adaptable, and composable, be powered by cloud platforms, and offer AI, low-code, and marketplaces. “

Key features and enhancements of Creatio Energy 8.2:

No-Code AI Skill Development: Creatio Copilot now supports AI Skills, which are the building blocks that enable Copilot to execute specific intelligent tasks.  With Creatio’s no-code tools, users can effortlessly create new AI Skills using natural language, with no coding required. This makes AI accessible to all employees, regardless of technical expertise.  Energy also adds over 80 new no-code feature enhancements to further improve no-code productivity.

Unified Agentic, Generative and Prescriptive AI:  Creatio Copilot also introduces a new AI Command Center that integrates all three AI types—prescriptive, generative, and agentic—into a single platform. This unified approach provides organizations with the ability to design, deploy, and refine AI Skills without specialized technical expertise.

Modern CRM with Pre-Built AI Skills: The new release seamlessly embeds over 20 pre-configured AI Skills into sales, marketing, and customer service processes, enabling intelligent automation that reduces friction, increases efficiency, and enhances customer engagement.  This list will be rapidly evolving as new AI Skills will be published rapidly from Creatio and its ecosystem of partners.  Energy also adds over 100 new enhancements to CRM processes to improve user experience and drive greater automation.

Accelerated Adoption: Unlike traditional AI platforms that impose hidden fees and complex user licensing or usage costs, Creatio “Energy” accelerates user adoption by including cutting-edge AI as part of its base software license, providing a clear and predictable cost structure for organizations scaling their AI investments.  AI Command Center provides tools that allow Administrators to have full visibility into AI Skills adoption, including the ability to track consumption and users of each AI Skill.

Taken together, Creatio Energy represents a paradigm shift for no-code, moving beyond being a mere toolset for building applications to becoming an intelligent co-creator that actively collaborates with users. By integrating AI into every stage of app development, Creatio enables organizations to accelerate their innovation cycles, enhance customer experiences, and accelerate time-to-value. This transformation allows companies to reimagine what’s possible, positioning them to stay ahead of the curve.

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The new Crowdbotics extension for GitHub Copilot takes advantage of all the requirements and context in the Crowdbotics platform to help developers generate more accurate code with Copilot. Integrated with GitHub Copilot Chat, the extension enables developers to benefit from this accuracy improvement without ever having to leave their development environment.

A recent joint research study conducted by Crowdbotics, GitHub, and Microsoft using a subset of the Crowdbotics extension features, found that injecting business requirements from Crowdbotics PRD AI into GitHub Copilot’s neighboring tab context model, improved GitHub Copilot code suggestion acceptance rate by 14%. This change reflects a 51% relative improvement in the acceptance rate. Additionally, the study found that developers using this multi-model configuration were 25% more likely to succeed at feature development than non-AI assisted developers. The now-publicly available Crowdbotics extension has this feature built in, along with a number of other additional features to help developers stay “in flow” longer.

“The Crowdbotics extension for GitHub Copilot achieves what both GitHub and Crowdbotics aim to do: improve developers’ lives by making their code smarter and more accurate,” said Anand Kulkarni, CEO at Crowdbotics. “Product requirements are the holy grail when it comes to making coding more efficient, so harnessing the power of this extension is a no-brainer for any developer looking to speed up their workflows without compromising context or accuracy.”

Benefits of the Crowdbotics extension include:

• Break features into decomposed layers, such as front end, back end, business logic, data schema or third-party integrations.

• Technical recommendations for the integrations best suited for the app and development team.

• Seamless connections between developers and PRDs without disrupting workflows or needing to switch to different windows.

The Crowdbotics extension is available now, with a free 30-day trial available through GitHub Marketplace.

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Starting now, developers using these IDEs for non-commercial purposes, such as learning, open-source project development, content creation, or hobby development, can do so for free. This can significantly expand the availability of both WebStorm and Rider, as over two-thirds of developers code outside of work as a hobby, and almost 40% code outside of work for educational and learning purposes.

“We have been providing professional tools to help millions of developers worldwide for over two decades,” said Hadi Hariri, VP of Program Management and Communications at JetBrains. “This change allows us to lower the barrier of access to our products for those learning software development, hobbyists, and content creators, amongst others.”

WebStorm supports frontend, backend, and full-stack development with TypeScript and JavaScript – the world’s most popular coding language, used by 60% of developers. Rider empowers developers with the tools they need to write games for PC, consoles, or mobile with Unreal Engine, Unity, Godot, or custom engines.

“Creators of game engines like Unreal Engine and Unity have pioneered the model where indie developers can use the same technologies for free,” said Anastasia Kazakova, Head of Marketing and BizDev for .NET and GameDev Tools at JetBrains. “We are adopting a similar approach, extending it to software development and empowering developers to create, innovate, and grow their skills freely.”

Earlier this year, JetBrains released several new products under the same terms for non-commercial use, including RustRover, its dedicated integrated development environment (IDE) for the Rust programming language, as well as Aqua, the first IDE explicitly designed for test automation. The company also provides Community Editions of IntelliJ IDEA and PyCharm, which can be used to develop proprietary and commercial software.

Non-commercial users will get access to the same set of features that are available in paid subscriptions, including local AI-powered code completion introduced by JetBrains earlier this year.

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“IDC research finds that on average, developers estimate a 35% increase in their productivity
with the use of an AI coding assistant. However, it is challenging to have visibility into adoption
and measure these gains across the organization,” said Katie Norton, Research Manager,
DevSecOps at IDC. “The metrics available in Opsera’s Unified Insights should enable
organizations to demonstrate the ROI of GitHub Copilot adoption, enhancing their ability to track
and quantify productivity improvements.”

For enterprises looking to proactively measure the increase in ROI of their AI Code Assistant
investments and improve productivity across all software delivery tools, teams, and
environments, the new AI Code Assistant Insights in the Opsera Unified DevOps Platform
provides actionable insights on developer-level productivity, pinpoints areas to improve adoption
and includes reporting on the quality and success of AI suggestions.

Users can:
● Unify metrics across the “Code to Cloud” journey, incorporating DevEx KPIs (time
to PR, lead time, cycle time, and performance), source code metrics (commits, PRs,
throughput, quality, and security), and DORA metrics (deployment frequency, change
failure rate, lead time, and MTTR). This comprehensive approach allows you to measure
impact, acceptance rate, and velocity effectively.
● Gain actionable insights into team performance, including throughput, quality, velocity,
security, and stability, as well as developer-level metrics, to pinpoint areas for
improvement and optimize processes.
● Seamlessly integrate with leading AI code assistants like GitHub Copilot and Amazon
Q, offering a unique, holistic “single pane of glass” view of the entire development
lifecycle.

“AI Code Assistants are critical for developer productivity and efficiency, and we are proud to
enable engineering teams to adopt them and realize their benefits faster than ever before and
provide metrics on the positive impact,” said Kumar Chivukula, co-founder and CEO of Opsera.
“With Opsera’s Unified DevOps Platform, we provide persona and team-level insights, pinpoint
bottlenecks and inefficiencies using Opsera Hummingbird AI, and measure security and quality
across tools to help enterprises improve overall developer productivity and experience.”

Unlike other platforms, Opsera integrates with the entire software development lifecycle with
over 100 native integrations and unified data for SDLC, IaC, SaaS applications like Salesforce,
Databricks, and Snowflake, and mobile application development. This helps teams maximize
their investment and provides the most comprehensive

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Onymos DocKnow eliminates the need for time-intensive and error-prone manual data processing by using enhanced optical character recognition (OCR) to extract information from both structured and unstructured data. This includes printed and handwritten text, numbers, dates, checkboxes, barcodes, QR codes, and more from any document, including personal identification, intake forms, and health and immunization records. DocKnow can also be easily integrated with any third-party back-end information management system – such as Salesforce, AWS, Azure, and Google – or health record system.

In this latest version, DocKnow is strengthened by:

• A new customer-specific LLM API: This new API enables enterprises to train their own LLMs using their specific data, resulting in more accurate and domain-specific document processing. For instance, DocKnow reliably and instantly identifies inconsistent data across hundreds of pages.
• A new, helpful AI assistant: “Doc,” the Onymos AI agent, enables document processing teams – which could include healthcare professionals, legal teams, university registrars, and more – to search through specific documents and hundreds of pages for immediate access to particular information and records.
• An upgraded, customizable user interface (UI): The new, simple UI includes bounding boxes, automatic zoom-in/zoom-out, image enhancement, and skew correction, which dramatically improves readability for human reviewers. It allows full customization to match an enterprise’s brand, required functionality, and back-end systems. This gives enterprise software engineering and IT teams the ability to modify the component to meet their specific needs as if they had built it from the ground up themselves.

“We understand that many enterprises struggle with time-consuming and error-prone processes like document entry, validation, and retrieval, whether it’s for patient care, student registration, or case file review. While these enterprises have started integrating AI tools powered by LLMs like ChatGPT to help with these activities, they often encounter hallucinations and outdated training data issues,” shared Shiva Nathan, Founder and CEO of Onymos. “Our enhanced DocKnow addresses these challenges by streamlining document processing and empowering enterprises to train their own LLM models tailored to their specific needs, all while ensuring privacy and security.”

As with all Onymos software components, DocKnow is designed with a no-data architecture. This means that all data passing through the solution and used to train the LLM remains securely with the enterprise using the API – no bit or byte of data flows through any Onymos systems or clouds.

For more information on Onymos and DocKnow, visit onymos.com. You can also learn more about Onymos’ no-data architecture by downloading the white paper here.

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Degreed’s new functionality includes:

• Skills Inference and Skills Management so learning administrators can automatically tag content with relevant skills and proficiency levels, ensure consistent skill labels and levels across connected systems, and deliver a personalized employee experience.
• Automations to streamline the administrative burden of delivering targeted learning recommendations and campaigns to employees with similar interests, experiences, and needs – as well as reminder nudges via email and push notifications to keep learners engaged and on-track with their development.
• Degreed Maestro, the next generation of Degreed’s in-app AI which now includes virtual voice and text coaching for skill proficiency, executive coaching, and career development. Personalized AI coaches can be tailored to specific organizational needs and integrated into the core Degreed experience through pathways, plans, and academies.
• New partnerships that enhance the interoperability of Degreed and bring more personalization and insights into the Degreed experience. These partnerships include an “AI-Ready” partner category to enhance AI-powered discovery, recommendation, and search experiences, skill validation partners to more easily verify learner skills, and a strategic partnership with Pearson that embeds labor market intelligence into Degreed.

“Every one of our clients is challenged to keep up with the pace of change,” said Max Wessel, Co-CEO of Degreed. “With our innovations in skills, automation, and AI, our clients don’t need to choose between scaling learning programs to reach more employees and personalizing those programs so they can drive workforce outcomes with pinpoint precision. They can have both.”

Degreed Vision featured customers, partners, and Degreed leaders sharing how technical innovations can help clients turn the talent they have into the talent they need.

“Today, Degreed unveiled the fruits of two years of investment into upgrading our platform architecture and Generative AI capabilities,” said Sanjay Parmar, Degreed’s Chief Technology Officer. “Our responsibility is to make driving change simple for HR, technology, and business leaders. By seamlessly connecting the vast array of systems that generate skill data across the employee experience, embedding intelligent nudges into everyday workflows, and delivering AI-driven tools that make discovering learning effortless, we aim to enable leaders to focus on strategic workforce development, rather than backend complexities.”

“This has always been the promise of Degreed,” said Vidya Krishnan, Chief Learning Officer of Ericsson. “All of the tools you need to build the capabilities of your people, in one place. We could have all the complexity of managing LMSs, academies and programs, HR data warehouses and analytics tools, a workflow tool, and more homegrown applications. Instead we use Degreed. Now, our L&D team can generate the skill insights our business leaders need. We can deliver personalized development to our employees. And we can automate, scale, and measure the progression of learning experiences to get us to where we need to go.”

Ericsson has also signed up to be one of the first co-innovation customers to test Degreed Maestro in beta.

Stronger partnerships

With its new “AI-Ready” partner category, Degreed has deepened its connections with content leaders to enhance curation and discovery of learning. Simplilearn, Pluralsight, TED@Work, and edX will be the first to co-innovate with Degreed to improve the data feeds that inform search and learning pathway curation. “Degreed continues to lead the charge in learning innovation,” said Krishna Kumar, CEO of Simplilearn. “Simplilearn is excited to partner deeply with Degreed to make it easier for our customers to organize and find relevant learning content.”

Degreed also welcomed four new and enhanced skill validation partners to better enable verification of people’s skills within Degreed — Skillable, Workera, HackerEarth, and iMocha — which join a number of existing assessment and badging integrations including Pluralsight, CredSpark, and Pearson’s Credly.

Finally, Degreed announced they are extending their partnership with Pearson to embed Faethm labor market intelligence into the core Degreed platform, providing L&D professionals with actionable, up-to-date insight into demand for workforce skills to inform learning.

“Degreed believes strongly in the power of openness and interoperability, and we remain committed to strengthening partnerships across the industry,” said David Blake, founder and Co-CEO of Degreed. “Not only does innovation flourish in an open ecosystem – it’s also hugely beneficial for the individual learner. It shouldn’t matter where or how you developed a skill. Learners should be able to carry their data and credentials as their career progresses and as they keep learning.”

Degreed has focused on redefining the workforce experience for more than a decade. With its latest enhancements, the company is proving that the world of AI will offer a new wave of transformation.

The post Vision 2024: Degreed Unveils AI-Enhanced Innovations to Accelerate Workforce Transformation appeared first on SD Times.

“By integrating load testing capabilities into TestComplete, SmartBear is empowering its customers to enhance software quality through streamlined testing workflows,” said Prashant Mohan, Senior Director of Product Management at SmartBear. “With the ability to automate both functional and load testing from a single location, our customers can now conduct thorough and efficient testing, ensuring their applications perform reliably under heavy loads.”

This integration allows testers to quickly convert existing functional tests into load tests, providing a faster and more efficient way to prepare your application for peak usage. Testers can also leverage AI-driven self-healing featuring SmartBear HaloAI to ensure that load tests remain relevant and effective, even as the application evolves. With this integration, testers can now automate a full-scale UI test suite composed of essential testing types, including functional testing, visual testing, device cloud testing, and load testing, giving teams exceptional testing coverage within a single tool.

“We can execute tests from our end users’ point of view, unlike other tools that can’t accurately understand the differences from yesterday’s build to today’s,” said Alexei Karas, software test automation professional. “Self-healing with TestComplete also makes load testing easier by enabling us to check, verify, and guarantee that my load tests recorded in the past still correspond to today’s reality.”

SmartBear has also launched test data generation featuring HaloAI. This new offering provides additional test data generation capabilities, delivering a more advanced and customizable solution. With the power of HaloAI, users can put their growing LLM skills to work, inputting simple-text commands to generate tailored datasets that better suit their specific testing needs. This approach not only streamlines the creation process but also ensures the security of customer data by generating it directly within TestComplete, eliminating the risk of using external LLM tools. Testers can quickly and easily create realistic and diverse datasets, enhancing the quality and effectiveness of their data-driven tests.

To learn more, register for the webinar, “Test Automation Just Got Stronger & Simpler,” at: https://smartbear.com/resources/webinars/launch-alert-test-automation-just-got-stronger-sim/

For more information, go to: https://smartbear.com/product/testcomplete/

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The company’s new brand is inspired by its flagship software supply chain solution, Black Duck software composition analysis (SCA), which has helped thousands of organizations around the world adopt open source technology safely and securely for nearly 20 years.

As an independent company, Black Duck provides the full portfolio of application security solutions previously available from the Synopsys Software Integrity Group. Black Duck’s mission is to help organizations build trust in their software by enabling them to manage application security, quality, and compliance risks at the speed their business demands. This empowers Black Duck customers to innovate and transform their businesses with new, emerging technologies like AI.

As a recognized market leader, Black Duck provides a comprehensive, powerful, and trusted portfolio of application security products and services. As a newly independent company with a singular vision and focus, Black Duck is even better positioned to deliver the leading solutions the market has come to expect.

Black Duck’s portfolio, which has been named a Leader in the Gartner Magic Quadrant for Application Security Testing for seven consecutive years, includes:

• Polaris SaaS Platform

• Coverity Static Analysis

• Black Duck SCA

• WhiteHat Continuous Dynamic Analysis

• Seeker Interactive Analysis

• Defensics Protocol Fuzzing

• Security Testing, Consulting, and Audit Services

Veteran security leader Jason Schmitt, who joined Synopsys in 2020 as the general manager of the Software Integrity Group, will continue to lead Black Duck as Chief Executive Officer. Black Duck has appointed Joy Meier as Chief Human Resources Officer and General Counsel. The remainder of the existing Software Integrity Group’s leadership team will continue their roles at Black Duck.

“We’re excited to complete our transition from Synopsys to Black Duck,” said Jason Schmitt, CEO of Black Duck. “I am proud of what we have accomplished to get here, and I am incredibly optimistic about our future as an independent company. With our broad portfolio of application security solutions underpinned by differentiated technology and a talented team of experts, we enter the next phase of our journey with momentum and a renewed focus to help our customers build trust in their software.”

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Launched in 2020, Argo Enterprise first offered enterprise support only for Codefresh GitOps users. This service offering has now been extended to all Argo users, including those not using Codefresh GitOps. Now, all Argo users can have reactive and proactive support, from avoiding potential pitfalls during Argo’s design, implementation, and maintenance to keeping instances running smoothly. Codefresh brings more experience architecting, deploying, and scaling Argo in more diverse environments and more companies than any other vendor.

Enterprise Argo Support Includes:

• Dedicated Argo experts with fast SLAs 
• Access to leading Argo maintainers and top security contributors
• Priority bug fixes from Argo maintainers
• 24/7 global support for help whenever it is needed 
• Complete Argo coverage, including Argo CD, Argo Workflows, Argo Rollouts, and Argo Events all implemented with GitOps best practices
• Proactive technical account management to properly architect, install, implement, and upgrade Argo

“We are excited to extend 24/7 enterprise support to the broader Argo community. As Argo experts, maintainers, and one of the creators of GitOps we’ve helped more companies and teams successfully implement Argo than anyone on the planet,” said Dan Garfield, Argo Maintainer, Codefresh co-founder, and VP of Open Source at Octopus Deploy. “With our extensive experience, we’ve led the way on best practices. Our GitOps with Argo training and certifications has helped more than 25,000 people learn the best way to deploy software using the Argo tools.” 

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