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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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How IBM Planning Analytics can help fix your supply chain

IBM Big Data Hub

IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP). Then, everything comes together.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

Scaling AI in business presents unique challenges: Data accessibility : Fragmented and siloed data stifle advancement. Gartner highlights that businesses lose an estimated USD 15 million annually due to inadequate data access. The retailer uses these insights to optimize inventory levels, reduce costs and enhance efficiency.

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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

A coordinated partnership: How these tools work together By using IBM Db2, IBM watsonx Assistant and NeuralSeek, we offer a comprehensive solution that streamlines data management, enhances accessibility, and helps to ensure security and integrity across your enterprise.

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News Alert: QBE North America launches new cyber insurance program with Converge

The Last Watchdog

The program will be broken down into two separate distribution structures, each with a distinct revenue focus and cyber security data access formation. Librizzi “Furthermore, Converge’s operational efficiency allows us to target small business through the program, complementing business we write through our retail Cyber practice,” she says.

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Driving new revenue streams through artificial intelligence and advanced analytics

CGI

Driving new revenue streams through artificial intelligence and advanced analytics. We are now on the cusp of a major revolution—something that will be as big for banks as the internet was for retail businesses. Foundational steps in adopting AI and advanced analytics. Sourcing data for AI and advanced analytics.

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The customer experience evolution: Today’s data-driven, real-time discipline

IBM Big Data Hub

For software solutions, they can get access immediately and often in a seamless experience. How we arrived at this CX environment Early days of retail Before mass media, it was harder to know what other products were available outside of the ones offered by the local store. Increasingly organizations expanded what they offered.