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What is DataOps? Collaborative, cross-functional analytics

CIO

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 195
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Practical Skills for The AI Product Manager

O'Reilly Media - Ideas

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

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5 Things To Look For When Evaluating AI Startups

Crunchbase News

Roughly 75% of that value will emanate from productivity gains across customer operations, sales and marketing, software engineering, and R&D. Look for solutions that offer a low-/no-code environment for development and operation, as well as robust analytical tools and A/B testing capabilities accessible to business users.

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What you need to know about product management for AI

O'Reilly Media - Ideas

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Product managers for AI need to lead that rethinking.

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Meroxa raises $15M Series A for its real-time data platform

TechCrunch

Meroxa , a startup that makes it easier for businesses to build the data pipelines to power both their analytics and operational workflows, today announced that it has raised a $15 million Series A funding round led by Drive Capital. million seed round now brings total funding in the company to $19.2

Data 248
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Climate tech opportunities for IT pros

CIO

common projects for climate tech professionals are related to EV infrastructure (solar, wind, and nuclear projects), smart grids, and corporate carbon tracking analytics which is fueled in a large part by government subsidies and funding, Breckenridge explains. In the U.S.,

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5 findings from O'Reilly's machine learning adoption survey companies should know

O'Reilly Media - Data

Fortunately, new regulations coincide with the rise of tools and methods for privacy-preserving analytics and machine learning. For a deep dive into these insights and more, download the free report The State of Machine Learning Adoption in the Enterprise with the full findings from our ML adoption survey.