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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Connected Customer 360 Profiles for Retail & Luxury Brands

Reltio

3 Things Data Innovators at Retail & Luxury Brands Have in Common. Retail and luxury brand leaders may use different terms to describe customers, including “clients” or “guests.” According to Accenture , 71% of retail executives believe digital demographics are expanding the number of ways they deliver products and services.

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Overcoming data obstacles in the banking industry with Industry Accelerators in Cloud Pak for Data

IBM Big Data Hub

During these times of uncertainty, all companies are being stressed in new ways; supply chains are being halted with employee sickness, retail store doors are closed to encourage social distancing, and health care facilities are overwhelmed by patient demand.

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Port Covington, MD re-emerges as ‘CyberTown, USA’ — ground zero for cybersecurity research

The Last Watchdog

When CyberTown, USA is fully built out, it’s backers envision it emerging as the world’s premier technology hub for cybersecurity and data science. It’s mission has been to seek out and assist government cyber specialists in a position to enter the private sector and build commercial cyber and data science companies.

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The Role of Master Data Management in Enabling Omnichannel Connected Customer Experiences

Reltio

Now Tech: Customer Data Management Solutions, Q1 2020, by Noel Yuhanna, Forrester Research, Inc., Our innovative customers span different industries like life sciences, financial services and insurance, healthcare, CPG, apparel, retail, travel and hospitality and high tech. Jan 8, 2020. But, they all have one thing in common.

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Five machine learning types to know

IBM Big Data Hub

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. In other words, ML leverages input data to predict outputs, continuously updating outputs as new data becomes available.

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How to choose the best AI platform

IBM Big Data Hub

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.