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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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The most valuable AI use cases for business

IBM Big Data Hub

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Healthcare The healthcare industry is using intelligent automation with NLP to provide a consistent approach to data analysis, diagnosis and treatment.

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

IBM Big Data Hub

Machine learning algorithms for unstructured data include: K-means: This algorithm is a data visualization technique that processes data points through a mathematical equation with the intention of clustering similar data points. Through fast and comprehensive analysis, IBM watson.ai

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Five benefits of a data catalog

IBM Big Data Hub

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Weeks pass by until the IT team locates and masks the data. Thankfully, a data catalog can help. Improved trust and confidence in data.

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The Campaign for Real Analytics

CGI

By chance, the CIO has just appointed a “Big Data” supremo. You meet him, and he suggests combining analysis of CCTV footage from the fruit aisle with inflation data, and mixing-in customer comments from Twitter and Facebook. Big data” including image analysis, audio analysis, social media “scraping”, etc.

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How to Improve Your Big Data Management

Reltio

It's often unstructured and usually doesn't fit neatly into databases. By processing big data, retailers can get insights into their entire supply chain. Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Data Quality.