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Q&A with Chris Ortega: Dealing With Uncertainty Through Technology

Jet Global

To implement AI, you need four main resources: an algorithm, at least 15 years of data, massive amounts of data over that time period, and a way to test the algorithm and get feedback on its accuracy. It’s part of a mixed bag of tools that we use for data collection, tracking, reporting, and analysis.

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

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax. From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. About Bryan Kirschner : Bryan is Vice President, Strategy at DataStax.

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

A comprehensive AI governance strategy encompasses people, process and technology. This includes data collection, instrumenting processes and transparent reporting to make needed information available for stakeholders. AI governance technology can help implement guardrails at each stage of the AI/ML lifecycle.

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What you need to know about product management for AI

O'Reilly on Data

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Machine learning adds uncertainty. AI product estimation strategies.

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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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Finding the Right Technologies for the Right Scenarios

CIO Business Intelligence

“The number of companies that have a digital transformation strategy was up 42% from two years ago,” says Ryan Ding, President of Huawei Enterprise BG, “Enterprise direct investment in digital transformation is set to grow at 16.5% Deeper digital transformation can help companies better deal with uncertainties.”.