Artificial Intelligence and Machine Learning explained

Up until the last 10 years or so, artificial intelligence was the stuff of science fiction: machines that could learn from a variety of interactions to make decisions and take actions that would normally require a human to execute. Because of that science fiction, there are those who fear AI as the beginning of the rise of intelligent robots. So, ethical development of AI has become an important issue in the IT community.

Artificial intelligence is having a big impact on application development. Today, we see AI in many different computing environments. It is also popping up in customer service call centers, in dialog boxes on websites, in the Industrial Internet of Things, as well as in our children’s toys, our homes and businesses. When coupled with automated processes, machines can take over many of the more mundane tasks businesses have to complete on a daily basis.

Of course, applications of AI are much broader and more sophisticated. AI can be found in automotive controls, such as applying the brake when your car is quickly approaching the one ahead. It’s found in data analytics, processing and management, where AI can learn to spot anomalies in data and trigger alerts and actions to remediate the issue.

Autonomous testing: Are we there yet?

A couple of years ago, there was a lot of hype about using AI and machine learning (ML) in testing, but not a lot to show for it. Today, there are many options that deliver important benefits, not the least of which are reducing the time and costs associated with testing. However, a hands-on evaluation … continue reading

AI and ML make testing smarter… but autonomous tools are a long way from being enterprise-ready

AI and machine learning (ML) are finding their way into more applications and use cases. The software testing vendors are increasingly offering “autonomous” capabilities to help customers become yet more efficient. Those capabilities are especially important for Agile and DevOps teams that need to deliver quality at speed. However, autonomous testing capabilities are relatively new, … continue reading

A new New Relic: Focus on full-stack observability

Longtime application performance monitoring provider New Relic is shifting gears, announcing its product focus has shifted to observability with new updates to its New Relic One platform. According to the company, New Relic One has become an expanded observability platform comprised of three products: the Telemetry Data Platform, Full-Stack Observability and Applied Intelligence. The telemetry … continue reading

SD Times news digest: Airship launches free feature flags, Codefresh Runner,and dotData Enterprise 2.0

Airship launched free feature flags by Apptimize, enabling app developers to control the scope and timing of feature launches to validate success and reduce risk prior to full rollout.  Developers can use Apptimize Feature Flags to choose when and to whom new features are accessible, and easily turn them on or off. In addition to … continue reading

SD Times news digest: Planview acquires AI/ML company Aptage, AWS IoT SiteWise, and Docker teams up with AWS on bringing apps to the cloud

Planview announced the acquisition of Aptage, which focuses on the application of AI/ML to portfolio management and work management. “For Planview, the acquisition of Aptage brings data science and domain expertise in AI/ML. Not only will that accelerate the company’s current roadmap in AI/ML – a growing area of focus for the market and our … continue reading

SD Times news digest: Cloud Security Alliance’s pillars of DevSecOps automation, dotData Stream, and Dynatrace announces AI observability for Kubernetes

The Six Pillars of DevSecOps: Automation paper published by the Cloud Security Alliance provides a holistic framework for facilitating security automation within DevSecOps as well as best practices. “It’s vital that today’s DevOps teams be agile, able to address user requirements dynamically, release features incrementally, and deliver at a faster pace than their predecessors and … continue reading

SD Times news digest: Split’s new feature flag capabilities, IBM Trsuted AI toolkits, and WhiteSource adds support for Microsoft Visual Studio

Split announced new capabilities that allow enterprises to stream feature flags to their apps in milliseconds and to export data records on demand.  As part of the new Feature Flag Data Streaming capability, Split has also included a Data Hub that gives enterprises a single place to view, query and export all of their feature flag … continue reading

SD Times news digest: Micro Focus’ Visual COBOL 6.0 and Enterprise Studio 6.0, Visual Studio Basic Essentials extension pack and IBM Blockchain Platform 2.5

Micro Focus announced the general availability of Visual COBOL 6.0 and Enterprise Suite 6.0. According to the company, the new releases provide versatile application, process, and infrastructure modernization tools for enterprise developers.  “Through new insight-driven tools, API development capabilities and robust deployment options, these Micro Focus solutions give developers new ways to work with complex … continue reading

SD Times news digest: Apache Spark 3.0 released, OpenAPI 3.1.0 RC0, Pinpoint Agile ceremonies

The new release includes an accelerator-aware scheduler, adaptive query execution, dynamic partition pruning, as well as performance and SQL compatibility enhancements. Spark SQL is the top active component in this release with 46% of the resolved tickets are for Spark SQL. This year is also the 10-year anniversary of the Spark project. In the TPC-DS … continue reading

Digital.ai adds Numerify and Experitest to its value stream portfolio

TPG Capital-backed company Digital.ai has announced the acquisition of Numerify and Experitest. Numerify is an artificial intelligence analytics company that will provide AI-powered business analytics while Experitest is a continuous quality provider that will add continuous testing to Digital.ai’s value stream platform. According to the company, Numerify will become the “central nervous system” of the … continue reading

Qualitest brings AI to its software testing and QA suite

Qualitest has announced the release of Qualisense, a new AI-powered software testing and QA toolkit. Qualisense is the next iteration of the company’s Qualisense Test Predictor service, and will be a standalone product.  The new solution will leverage machine learning to optimize testing and quality delivery, remove bottlenecks, reduce the need for certain tests, help … continue reading

SD Times news digest: Microsoft Web Live Preview, Google Play Billing Library version 3, and YugabyteDB Community Update

Microsoft has announced a new editing mode, “web live preview,” now available in the preview Visual Studio extension. “As we looked at some of the web trends and talked with customers in our user research labs we wanted to adapt to that philosophy that the best representation of your UI, data, state, etc. is your … continue reading

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