Databricks is announcing its acquisition of 8080 Labs today. This follows Qlik's announcement last week that it's buying Big Squid, and Domino Data Lab's announcement yesterday of a $100M Series F funding round, and deepened partnership with Nvidia. AI is working hard to get to the enterprise mainstream.
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Microsoft's self-service BI tool will soon let business analysts build and use machine learning models, with minimal expertise, and no code. Access to Azure Cognitive Services and models hosted in Azure Machine Learning, as well as a new feature that explains KPI outcomes, are also included.
Alteryx adds data science operationalizing functionality, based on technology from Brooklyn-based Yhat, which it acquired in June.
Predictive analytics, prescriptive analytics, machine learning and AI are gaining in mindshare and adoption. The next frontier? Making them accessible to business users and embedding them into business applications.
PitchBook, a purveyor of private equity market data, has now integrated data from the public markets, sourced from Morningstar, its parent company. The companion data feeds and APIs from the PitchBook Platform provide promising fodder for AI-driven investing.
Hallmarks of Anaconda's new Enterprise release include deployment of Python-generated assets to executives and analysts, and Python machine learning models to mainstream developers.
Microsoft is joining the Databricks-backed MLflow project for machine learning experiment management. Already present in Azure Databricks, a fully managed version of MLflow will be added to Azure Machine Learning and made available soon.
NVIDIA, originally focused on semiconductor products for video graphics rendering, is transitioning into an AI super-computing company. How does that manifest and doe sit make sense?
Using machine learning, along with basic information and history about customers, health insurance carriers can up their game.
Deep learning model development and management drives special requirements, especially around the provisioning of hardware. Spell introduced a machine learning operations (MLOps) platform last week that caters to these very needs.