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Wipro and IBM collaborate to propel enterprise AI

AI News

In a bid to accelerate the adoption of AI in the enterprise sector, Wipro has unveiled its latest offering that leverages the capabilities of IBM’s watsonx AI and data platform. The extended partnership between Wipro and IBM combines the former’s extensive industry expertise with IBM’s leading AI innovations.

Big Data 269
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What can AI and generative AI do for governments?

IBM Journey to AI blog

On the backend, AI likewise has the potential to supercharge digital modernization in by, for example, automating the migration of legacy software to more flexible cloud-based applications, or accelerating mainframe application modernization. IBM stands ready to empower governmental organizations in the age of AI.

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

IBM Journey to AI blog

For example, generative AI could be used to optimize pricing and fulfillment strategies by predicting demand fluctuations for dynamic pricing and analyzing factors including delivery times and shipping costs to improve logistics, potentially resulting in cost savings and enhanced customer service.

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IBM Cloud solution tutorials: 2023 in review

IBM Journey to AI blog

IBM introduced watsonx as the AI and data platform built for business. And just this month, IBM and Meta, together with over 50 founding members and collaborators, launched the AI Alliance. Its goal is to advance open, safe and responsible AI. Automated regression tests are a dynamite.

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Bring your own AI using Amazon SageMaker with Salesforce Data Cloud

AWS Machine Learning Blog

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

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What is Data-Centric Architecture in AI?

Pickl AI

Data Annotation In many AI applications, data annotation is necessary to label or tag the data with relevant information. Data annotation can be done manually or using automated techniques. Also Read: How Can The Adoption of a Data Platform Simplify Data Governance For An Organization?

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Breaking down the advantages and disadvantages of artificial intelligence

IBM Journey to AI blog

AI programs offer more scalability than traditional programs but with less stability. The automation and continuous learning features of AI-based programs enable developers to scale processes quickly and with relative ease, representing one of the key advantages of ai.