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Top Data Science experts you should know about

Apiumhub

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Cindi Howson.

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After a record year for Israeli startups, 16 investors tell us what’s next

TechCrunch

Also, significant experience and know-how have been accumulated here in big data analytics. Do you expect to see a surge in more founders coming from geographies outside major cities in the years to come, with startup hubs losing people due to the pandemic and lingering concerns, plus the attraction of remote work?

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. What is data collection?

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The rise of the data lakehouse: A new era of data value

CIO

Enter the data lakehouse. Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). And he’s not alone.

Data 350
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What the Intelligence Community Doesn’t Know is Hurting the US

The Cipher Brief

Previously, she served as an attorney adviser and director for preparedness and response in the National Security Division at the U.S. What little IC business data exist are stored inside individual department and agency silos; are not collected pursuant to uniform data standards; and are not permitted to inform IC-wide decisions.

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Data Quality Management: Roles, Processes, Tools

Altexsoft

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data.

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