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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Analytics 203
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How to build analytic products in an age when data privacy has become critical

O'Reilly Media - Data

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 186
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South Korean online secondhand marketplace Danggeun Market raises $162M at a $2.7B valuation

TechCrunch

The funding proceeds from the new round will be used for further global expansion, business diversification, R&D, investment in advanced artificial intelligence and machine learning technology and recruiting team talent. Danggeun Market, the South Korean secondhand marketplace app, raises $33 million Series C.

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LexisNexis rises to the generative AI challenge

CIO

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. We will pick the optimal LLM.

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12 most popular AI use cases in the enterprise today

CIO

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

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Rethinking ‘Big Data’ — and the rift between business and data ops

CIO

Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. Evidently there is value associated with merely inserting data and analytic ambitions into the multiple strategy-making processes at work in any given enterprise.

Big Data 197
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At AstraZeneca, data and AI are more than game changers – they are life changers

CIO

To accelerate growth through innovation, the company is expanding its use of data science and artificial intelligence (AI) across the business to improve patient outcomes. . We have reduced the lead time to start a machine learning project from months to hours,” Kaur said. Moving from ideas to insights faster.