Remove Behavioral Analytics Remove Data-driven Remove Machine Learning
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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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AI and cybersecurity: A double-edged sword

CIO Business Intelligence

AI systems can analyze vast amounts of data in real time, identifying potential threats with speed and accuracy. Companies like CrowdStrike have documented that their AI-driven systems can detect threats in under one second. Thats the potential of AI-driven automated incident response.

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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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When the Voice of the Customer Actually Talks

Rocket-Powered Data Science

CX has become increasingly data-informed and data-driven, with VoC data being one of the key data sources. Other data sources include purchase patterns, online reviews, online shopping behavior analytics, and call center analytics.

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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. The same goes for cybersecurity. Final Thoughts.

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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.

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The unfulfilled promise of automation: DNA matters

CIO Business Intelligence

Process automation began with two promises: uniting disparate systems together and unleashing the massive trove of data that sits within your processes and back-office functions. The efficiency narrative is driven by platform DNA (think enterprise architecture). Its popularity coincides with the rise of RPA and process mining.