Remove Access Remove Data science Remove Manufacturing Remove Retail
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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How to choose the best AI platform

IBM Big Data Hub

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

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#ModernDataMasters: Michele Chambers, AWS

Reltio

At another time, that business might need cold storage for PII data for the last 20 years – you need to access it, but not pay for storage at a premium level. . That’s what businesses are looking for – a big red easy button to help them change their data paradigm. They want to get there at a click of a button.

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Top Unified Endpoint Management (UEM) Solutions

eSecurity Planet

“UEM tools apply data protection, device configuration and usage policies using telemetry from identities, apps, connectivity, and devices. They also integrate with identity , security, and remote access tools to support zero trust.”. UEM Trends. UEM is a hot area of IT. As such, a number of trends are impacting this space.

Analytics 107
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The Business of Data Newsletter – Issue 7 (7 December 2018)

Information Matters

. “Seven out of 10 UK consumers and two-thirds, on average, around the world would stop doing business with a brand that suffers a breach of users’ financial or personal data. What Great Data Analysts Do — and Why Every Organization Needs Them – Harvard Business Review, 4 December 2018. ” [link]. ” [link].

IoT 40