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What it Means to be a Data-driven Financial Institution

Sisense

It’s what allows them to unlock the full power of their data and make informed decisions. But, many don’t know where to begin or how exactly to work with their data to their optimal benefit. Data gives insight into user demographics, habits, preferences, and more. What is business intelligence?

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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. AI products are automated systems that collect and learn from data to make user-facing decisions. Machine learning adds uncertainty.

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

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2021 Data/AI Salary Survey

O'Reilly on Data

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? Would your job still be there in a year? Executive Summary. Demographics.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

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Ditch Manual Data Entry in Favor of Value-Added Analysis with CXO

Jet Global

Businesses around the globe are struggling to do more with less as budgets tighten, uncertainty looms, and talented workers can be scarce. Companies are generating more data than ever before, and it’s falling on the finance team to make sense of the meaning behind all those numbers. Data silos require a lot of extra work.

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The three-layered approach to network data monetization

IBM Big Data Hub

This is Network Data and Analytics Function (NWDAF) in 5G Core, Radio Intelligent Controller (RIC) in O-RAN and SDN Controller in Software Defined Networks. Each of these entities applies a three-layered approach to network data monetization. Identifying the three layers of complexity Modern telco networks produce a lot of data.