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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.

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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

To illustrate and to motivate these emerging and growing developments in marketing, we list here some of the top Machine Learning trends that we see: Hyper-personalization (SegOne context-driven marketing). Behavioral analytics (predictive and prescriptive). Agile analytics (DataOps).

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Why You Need to Get on the Zero Trust Network Access Express Lane

CIO Business Intelligence

VPNs deliver an encrypted tunnel, which makes it harder for a cyberthief to sniff the connection and steal enterprise data, but that’s pretty much all they do for security. Plus, they offer little or no protection for data, especially in cloud and mobile-driven environments. Behavioral analytics and least-privilege access.

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The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

Smart Data Collective

There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. In January, Masergy predicted that 2019 will be “The Year of Artificial Intelligence.”

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Research shows extensive use of AI contains data breaches faster and saves significant costs

IBM Big Data Hub

The Cost of a Data Breach 2023 global survey found that extensively using artificial intelligence (AI) and automation benefited organizations by saving nearly USD 1.8 million in data breach costs and accelerated data breach identification and containment by over 100 days, on average.