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Google Cloud for Retailers adds AI-based inventory, e-commerce tools

CIO

In a bid to help retailers transform their in-store, inventory-checking processes and enhance their e-commerce sites, Google on Friday said that it is enhancing Google Cloud for Retailers with a new shelf-checking, AI-based capability, and updating its Discovery AI and Recommendation AI services.

Commerce 834
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Software vendors offer AI sales boost for retail at NRF show

CIO

One, conducted by Salesforce, found fewer than 3% of commerce organizations have no AI plans, while 29% have already fully implemented it into their workflows. It uses Google Cloud’s Vertex AI machine learning platform to power a natural language chat interface that enables retail staff to explore inventory information.

Retail 659
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Is Machine Learning Changing Our Approach to Asset Management?

Smart Data Collective

Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. Why Machine Learning? What Machine Learning Means to Asset Managers. Data Analysis. But is AI becoming the end-all and be-all of asset management ? Risk Management.

Learning 358
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A comparative assessment of digital transformation in Italy

CIO

So the digital transformation involves gradually moving to the new data platform to collect and aggregate data from the data lake with business Information modelling systems, and then putting it on dashboards and performing analysis with business intelligence.

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10 most in-demand generative AI skills

CIO

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Copywrite 894
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12 most popular AI use cases in the enterprise today

CIO

Following is our analysis of the 12 most popular ways AI is being used across all industries in the enterprise today, as companies seek to capitalize on artificial intelligence’s promise to improve customer service, cut business costs, and supercharge business processes.

Airline 887
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When natural disasters strike Japan, ?ita University’s EDiSON is ready to act

CIO

In many cases, manual and paper-based processes had been employed for analysis at disaster sites, with resulting data being siloed. So, it was difficult to put the data to use when and where it was needed, affecting disaster preparedness and countermeasures.