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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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4 Best Antivirus Software of 2021

eSecurity Planet

The company stopped only 63% of threats in last year’s MITRE testing in our analysis, but with a strong R&D team, Kaspersky will use that knowledge to keep improving. A few years later, cloud-based antivirus software entered the scene with McAfee’s Artemis and AVG’s Protective Cloud Technology.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

This means imaging the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”

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Leopard Spots and Zebra Stripes: Fraud and Behavioral Analytics

Thales Cloud Protection & Licensing

Luckily, zebras don’t use mobile devices, or manufacturers would be hard at work on stripe recognition technology. About six months ago, I got an email from a good friend of mine, who I’ll call Alex (not his real name). Did you know that every zebra has its own unique stripe pattern?

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#ModernDataMasters: Mike Evans, Chief Technology Officer

Reltio

Mike Evans is CTO and Founder at Comma Group and has spent more than a decade in the business analysis, MDM and data management space. As an aspiring Project Manager, I was asked to work on an analysis project to understand why some recent initiatives weren’t achieving expected results. “It I never consciously chose to work in data.

MDM 75
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Top GRC Tools & Software for 2021

eSecurity Planet

Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. The Riskonnect GRC platform has specific use cases for risk management, information security, compliance, and audit professionals in healthcare, retail, insurance, financial services, and manufacturing.

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Top 10 Governance, Risk and Compliance (GRC) Vendors

eSecurity Planet

Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. The Riskonnect GRC platform has specific use cases for risk management, information security, compliance, and audit professionals in healthcare, retail, insurance, financial services, and manufacturing.