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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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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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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

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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.

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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 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. The Best Approach: Teams Backed by Technology.