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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. 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).

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10 projects top of mind for IT leaders today

CIO Business Intelligence

From AI and data analytics, to customer and employee experience, here’s a look at strategic areas and initiatives IT leaders expect to spend more time on this year, according to the State of the CIO. A mix of IT mainstays and business differentiators, these “top-of-mind” projects hint at where IT is headed in years ahead.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. will look like).

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When the Voice of the Customer Actually Talks

Rocket-Powered Data Science

Other data sources include purchase patterns, online reviews, online shopping behavior analytics, and call center analytics. As good as these data analytics have been, collecting data and then performing pattern-detection and pattern-recognition analytics can be taken so much further now with AI-enabled customer interactions.

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How to use data detection and response (DDR) to gain early warning into data leakage from insider threats

Laminar Security

DDR is a data security solution that leverages artificial intelligence, machine learning, and behavioral analytics to monitor, detect, and respond to data activity across endpoints, networks, cloud, and applications. DDR covers all data sources, destinations, users, and behaviors. How does DDR work?

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field.

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

Smart Data Collective

Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. The reality is that “AI solutions” today are based more in machine learning and behavior analytics , which does NOT equate to higher levels of human intelligence and complex decision making.