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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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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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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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Four Reasons Why Retail Analytics Solutions Are Important

bridgei2i

Retail analytics enables the stakeholders to efficiently use data for creating a consistent customer experience across all channels. Since the retail market is highly volatile, retail analytics equips marketers with the necessary information to maintain a grip in the competitive landscape. Customer Behavior Analytics.

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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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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.