Topic: ai

Microsoft announces it will exclusively license OpenAI’s GPT-3 language model

Microsoft has revealed it is teaming up with OpenAI to exclusively license GPT-3. According to the company, this will further Microsoft’s goals to develop and deliver advanced AI solutions for customers, as well as create new solutions that harness the power of advanced natural language generation. GPT-3 is an autoregressive language model that outputs human-like … continue reading

Snyk acquires real-time semantic code analysis provider DeepCode

Snyk is looking to bolster its security platform with the acquisition of DeepCode, a provider of real-time semantic code analysis. Through its AI-powered platform, DeepCode is able to assist developers with app quality and security. According to Snyk, the addition of DeepCode will add to its existing open-source security, container security and infrastructure as code … continue reading

end to end view of Google’s MLOps services

Google announces new services to simplify MLOps

Google has announced a new set of services aimed at simplifying Machine Learning Operations (MLOps) for data scientists and machine learning (ML) engineers. According to Google, companies are using machine learning to solve challenging problems, but machine learning systems can create unwanted technical debt if it is not managed well. Google noted that machine learning … continue reading

SD Times news digest: Instana announces direct integration of traces, LEADTOOLS version 21 released, and Half type introduced in .NET 5 Preview 7

The latest integration of traces allows Instana users to drill down into profiles related to individual requests and user traces which require investigation.   “Instana’s single-click direct path from individual traces directly to applicable process profiles makes it both easy and quick for users to get the information they need to identify CPU, Memory and Concurrency … continue reading

Use Emotional Intelligence before Artificial Intelligence

Process change is more about people than process. At least until processes can be fully automated. During the past decade, I have championed technology-led process improvement initiatives at over a dozen large companies. I have seen process improvement implemented successfully primarily when such initiatives were pursued with a healthy mix of technology and human understanding … continue reading

Analyst Watch: The rise of AI chips

Artificial intelligence (AI) is a broad field that spans academic research with ambitions to create an artificial human brain (general AI) through to practical applications of deep learning (DL), a branch of machine learning (ML, itself the part of AI concerned with learning systems built on data rather than prepared rules). DL has many real-world … continue reading

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

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