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6 generative AI hazards IT leaders should avoid

CIO

Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission. But these Guardian polls appear to have been published on Microsoft properties with millions of visitors by automated systems with no human approval required.

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Extra Crunch roundup: How Duolingo became an edtech leader

TechCrunch

With an increasing number of enterprise systems, growing teams, a rising proliferation of the web and multiple digital initiatives, companies of all sizes are creating loads of data every day. If you don’t have spin recovery training, you can easily make things worse, dramatically increasing your chances of crashing.

Fintech 246
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StubHub’s Rockstar Summer Interns

StubHub

They are like our customers: they love concerts, festivals, sporting events, theater?—?basically Rudra Gandhi, Data Engineering intern, (San Jose State University, Mathematics and Computer Science Major): As a company, I thought that StubHub is an interactive platform for its audiences and accepts feedback very nicely.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Store engineering squad - focus on software and systems required for the storefront including point-of-sales system, promotions, etc. ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Resting in sports is a very common practice.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

In many cases, there is even no desire to put effort and resources into developing analytical capabilities, mostly due to the lack of knowledge. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.

Analytics 102
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Top Data Science experts you should know about

Apiumhub

Top Data Science experts you should know about. Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. He also writes compelling articles about Big Data and related topics for publications such as Data Science Central, DataFloq and Dataconomy.