Topic: ml

Data without integration is just data

As digital transformation initiatives have picked up steam due to the coronavirus pandemic, companies are getting a lot more disparate data that needs to be put together. They’re looking towards data integration solutions to streamline that process.  A survey conducted by IDC in December last year found that 94% of data engineers, data integration specialists, … continue reading

SD Times news digest: Splice Machine Feature Store launched, Command PATH security fix in Go, and Sensory VoiceHub released

The newly announced Splice Machine Feature Store is designed to help companies implement machine learning in their operations by providing data scientists with actionable real-time data and by reducing the complexity of feature engineering.  “The old way of doing things meant data science operations were simply not scalable. The Splice Machine Feature Store enables you … continue reading

SD Times news digest: Apple App Store privacy labels, Nexus 1.0 released, and the SensiML analytics community edition toolkit

Apple’s privacy labels for apps in the App Store are now live. According to the company, users will be able to better understand an app’s privacy practices before downloading it.  The information must provide what type of data types an app collects, and whether that data is then used to track them. Developers can update … continue reading

SD Times news digest: Linux 5.10 released, GrammaTech’s DARPA research contract, and ML Kit Entity Extraction

Linux 5.10 has been released. In the new version, most of the patches are small, Linus Torvalds explained in a post.The biggest change is fixed pin mapping definitions for a pincontrol driver. The fixes span networking, architecture, filesystems, and tooling. Torvalds also noted that the merge window for 5.11 will start tomorrow and that for … continue reading

Report: More AI/ML technology does not translate into time saved, but MLOps solutions can help

Organizations are moving AI and ML up their strategic priority lists and investing more in the technology without yet fully knowing how to turn those investments into increased efficiency and scale, according to the “2021 enterprise trends in machine learning report” from Algorithmia.  Approximately 83% of all surveyed organizations said they increased their budgets and … continue reading

SD Times news digest: The 2020 State of Octoverse report, Microsoft LAMBDA released, and ML Commons launched

GitHub has announced its annual State of Octoverse report, looking at the company’s growth and usage over the last year. The report found that the number of people on GitHub overall continues to grow, but the proportion of those who identify as developers has decreased. According to the report, this could signal an expanding diversity … continue reading

SD Times Open-Source Project of the Week: TrustyAI

The Knowledge is Everything (KIE) group recently released TrustyAI, an open-source solution that combines machine learning models and decision logic to enrich automated decisions by including predictive analytics.  It is the result of a new initiative, within the KIE group, to increase trust in decision making processes that depend on AI predictive models. The new … 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: GrammaTech acquires JuliaSoft, Snyk announces prioritization capabilities, and TigerGraph makes updates to GSQL

Software assurance and cybersecurity company GrammaTech announced it will be acquiring code analysis company JuliaSoft. According to GrammaTech, the acquisition will help it expand the reach of the CodeSonar SAST platform to Java and C#. The new language support extends the automated detection of software vulnerabilities to enterprise use cases where safety and security are … 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

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