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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

Since joining NJ Transit, Fazal has primarily been chipping away at his major goal: enabling data innovation. Data engine on wheels’. To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit. Multicloud as enabler.

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Iterative raises $20M for its MLOps platform

TechCrunch

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack. After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Building a vision for real-time artificial intelligence

CIO

Real-time AI involves processing data for making decisions within a given time frame. Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. It isn’t easy.

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

To achieve its vision, Henkel laid down a five-year strategic roadmap that involved reshuffling the IT organization, creating a new digital unit, consolidating CIO and CDO venture activities under one roof, and building global innovation centers in hubs like Berlin, Shanghai, Bangalore, and the US.

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The Modern Data Lakehouse: An Architectural Innovation

Cloudera

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” New innovations bring new challenges.