Topic: ml

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

Google to replace TensorFlow’s runtime with TFRT

Google has announced a new TensorFlow runtime designed to make it easier to build and deploy machine learning models across many different devices.  The company explained that ML ecosystems are vastly different than they were 4 or 5 years ago. Today, innovation in ML has led to more complex models and deployment scenarios that require … continue reading

White House announces call to action for the tech community to contribute to COVID-19 dataset

The White House is issuing a call to action for AI experts to develop new text and data mining techniques to analyze the newly released COVID-19 Open Research Dataset (CORD-19). The dataset is the most extensive machine-readable Coronavirus literature collection available was created with input from researchers and leaders from the Allen Institute for AI, … continue reading

8 top open-source community and data tools

As organizations wake up to the multitude of ways advanced technologies can augment their businesses, developers with relevant skills are becoming ever more valuable. Data is the key to a whole kingdom of opportunity, and when combined with AI and machine learning tools, the bounds of this kingdom are practically limitless.  Even for those without … continue reading

Google introduces Cloud AI Platform Pipelines

Google launched the beta of Cloud AI Platform Pipelines, which combines repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility. It aims to deliver an enterprise-ready, easy to install, secure execution environment for ML workflows. AI Platform Pipelines were created because machine learning workflows can involve many steps with dependencies on each … continue reading

premium Software 3.0: Enterprise AI systems and the brave new economy

Machine learning (ML) and other artificial intelligence (AI) technologies are powerful tools with the potential to transform a wide range of processes for both consumers and companies.  Though many of these technologies are still commercially nascent, a number of startups have emerged that provide ML-based software solutions to enterprises. We believe that these “enterprise AI … continue reading

SD Times news digest: Parasoft C/C++test, Datical updates Liquibase, and Syncsort and Databricks partner on mainframe data

Parasoft introduced the new release of its C/C++test solution this week at Embedded World. The solution is a unified C and C++ development testing solution for real-time safety- and security- critical embedded applications and enterprise IT. “With the new release of C/C++test, we are bringing unique AI and ML capabilities to help organizations with the … continue reading

SD Times Open-Source Project of the Week: Manifold

Manifold is a visual debugging tool for machine learning developed by Uber. Machine learning is widely used across the Uber platform to support decision making and forecasting for features such as ETA prediction and fraud detection, the company explained. The tool aims to help engineers and scientists identify performance issues across ML data slices and … continue reading

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