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Informatica eases data management with Oracle, Google, and Azure integrations

CIO Business Intelligence

The key focus seems to be to eliminate the need for multiple vendors or platforms for data management and analytics, at a time when siloed data and the complexity of managing modern applications are plaguing enterprises. Faster insights on Google Cloud. Oracle joins list of Informatica partners.

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Informatica eases data management with Oracle, Google, and Azure integrations

CIO Business Intelligence

The key focus seems to be to eliminate the need for multiple vendors or platforms for data management and analytics, at a time when siloed data and the complexity of managing modern applications are plaguing enterprises. Faster insights on Google Cloud. Oracle joins list of Informatica partners.

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How a data fabric overcomes data sprawls to reduce time to insights

IBM Big Data Hub

To reduce delays, human errors and overall costs, data and IT leaders need to look beyond traditional data best practices and shift toward modern data management agility solutions that are powered by AI. The post How a data fabric overcomes data sprawls to reduce time to insights appeared first on Journey to AI Blog.

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Day in the Life of an Industry Analyst at Gartner’s (Virtual) IT Symposium Xpo 2020 – Day 4

Andrew White

Data and Analytics Governance and/or MDM 15. Advanced Analytics/ML or AI 4. Toolkit: Creating a Modern Data and Analytics Strategy and Operating Model. How to Craft a Modern, Actionable Data and Analytics Strategy That Delivers Business Outcomes. My 1-1’s were very interesting, as always. Retail and e-Commerce 2.

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Day in the Life of an Industry Analyst at Gartner’s (Virtual) IT Symposium Xpo 2020 – Day 3

Andrew White

Data and Analytics Governance and/or MDM 10. Advanced Analytics/ML or AI 4. Toolkit: Creating a Modern Data and Analytics Strategy and Operating Model. How to Craft a Modern, Actionable Data and Analytics Strategy That Delivers Business Outcomes. Retail and e-Commerce 2. Organization, Leadership, Roles etc.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. We agree with that. This paradigm has shifted and will continue to shift.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends.