Topic: data science
AtScale unveils new capabilities to support code-first data modelers
AtScale, provider of semantic layer solutions for modern business intelligence and data science teams, today announced new features added to its semantic layer platform. These capabilities focus on supporting code-first data modelers, such as developers, analytics engineers, and data scientists. These features integrate with the company’s no-code visual modeling framework and offer users improved flexibility … continue reading
Domino 5.3 available to improve data science access
Domino 5.3 was released to improve how organizations can get the most of data science across any cloud or on-premises infrastructure. The new version introduces a private preview of Domino Nexus hybrid and multi-cloud capabilities and an expanded suite of connectors to simplify and democratize access to critical data sources. On top of that, new … continue reading
Why machine learning models fail
Machine Learning is quickly becoming an important tool for automation, but failing models and improper background knowledge are creating more issues than they are solving. “I think to build a good machine learning model… if you’re trying to do it repeatedly, you need great talent, you need an outstanding research process, and then finally you … continue reading
SD Times news digest: GitHub releases study on cloning behaviors, Google for Startups Accelerator: Voice AI program, and Kin + Carta acquires Cascade Data Labs
In the recent study, GitHub compared the different clone options to determine how certain options affect Git performance. The study found that when focusing on a single repository, the best approach is to do a full clone and then always perform a full fetch into that clone. Also, calculating a shallow fetch is computationally more … 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
Netflix open sources polyglot notebook Polynote
Netflix has announced that it is open sourcing Polynote, which, as the name implies, is a polyglot notebook. Polynote provides Scala support, Apache Spark integration, as-you-type autocomplete, and multi-language interoperability with Scala, Python, and SQL. According to Netflix, Polynote will allow data scientists to integrate its JVM-based machine learning platform with Python’s ecosystem of machine … continue reading
SD Times news digest: Gremlin’s integration with Spinnaker, Django 2.2, and MapR Data Platform update
Gremlin has announced a new integration with Spinnaker that will enable it to help companies automate chaos engineering. Gremlin is a company that specializes in helping companies implement chaos engineering, while Spinnaker is a continuous delivery platform first created by Netflix. According to Gremlin, chaos engineering can now be automated across platforms like AWS EC2, … continue reading
Iodide brings data science to your browser
Mozilla is releasing an experimental scientist communication and exploration tool for the web. Iodide enables data scientists to create, share, collaborate and reproduce reports and visualizations on the web with familiar tools. According to the company, while the data and scientific computing world is exploding, there has been little work done to give scientists access … continue reading
SD Times news digest: Apple’s record developer earnings, IBM’s new data scientist certifications, and Kite launches Line-of-Code Completion
Apple has announced its highest developer earnings ever. According to the company, developers have earned $120 billion since the app store launched in 2008. Over a quarter of that has been earned just in the past year, Apple explained. “In the past, starting a small business often meant having to invest in overhead, inventory or … continue reading
Report: Large organizations are finding success in machine learning
Enterprises of all sizes are looking to leverage machine learning, but not everyone is finding immediate success. A newly released report revealed larger organizations are finding more success compared to smaller ones. The report, the State of Enterprise Machine Learning, by Algorithmia surveyed more than 500 data science and machine learning professionals to gauge how … continue reading
IBM integrates business intelligence and data science with new major update to Cognos Analytics
More enterprises are on a quest to use artificial intelligence as a competitive advantage. IBM is on a mission to make this easier and more accessible for any organization via the cloud. The company has announced a new version of its Cognos Analytics solution, which integrates business intelligence and data science technologies into a suite … continue reading
MapR unveils six new data science offerings for AI initiatives
MapR is introducing six new data science offerings aimed at customers that are at varying points in their data science journey at the Strata Data Conference happening in NYC today. The six offers are the AI/ML Hack-a-thon, MapR Data Science Refinery, Cybersecurity Advanced Protection, ML Deployment, AI Enablement and ML Rendezvous Orchestration. According to the … continue reading
