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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content.

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

IBM Big Data Hub

Also, Db2 seamlessly integrates with watsonx Assistant’s natural language processing capabilities to analyze unstructured data and derive insights. The use of the Db2 database and rapid deployment facilitated swift adaptation to evolving market demands.

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

IBM Big Data Hub

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. One of the largest children clothing retailer in the US utilizes this solution to streamline its complex supply chain.

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The most valuable AI use cases for business

IBM Big Data Hub

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Master? ?Data? ?Management? ?Trends? ?to? ?Get? ?Ahead? ?With?

Reltio

Third generation MDMs are fast approaching—some argue they’ve arrived—and understanding the business trends ushering them can help you create a better master data management strategy and power your business processes and goals. . MDM’s Role: Aggregating data on customer interactions and personalizing customer experiences is key in D2C.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

It could also just be a sign that a particular marketing initiative is working. Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. However, data scientists should monitor results gathered through unsupervised learning.