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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win!

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Key Data Trends And Forecasts In The Energy Sector

Smart Data Collective

With the Coronavirus pandemic, the world has been thrown into complete uncertainty. According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry. The uncertainty comes with a major market shift, the dimensions of data software cannot be ignored.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” But the urgency and the upside of modernizing and optimizing the data architecture keeps coming into sharper focus.

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Automation for all—managing and scaling networks has never been easier

CIO Business Intelligence

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. We’ve seen how it can gather and organize telemetry data collected from all parts of a company’s network.

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Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

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