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Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

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Kyndryl bolsters its Bridge infrastructure services

Network World

Bridge is one of Kyndryl’s major services offerings, which include consulting, hybrid cloud, security, and applications services. What makes it unique is how we’ve created, or how we stitched together, organizational information, systems, applications, and more. [It

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UPS delivers customer wins with generative AI

CIO Business Intelligence

The in-house developed project, Message Response Automation (MeRA), is already delivering. The framework we established is not just a breakthrough for our UPS call center but it’s a blueprint for future AI applications across the enterprise.” As a result, UPS is investing in training the model on its corporate data set.

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SAP and Nvidia expand partnership to aid customers with gen AI

CIO Business Intelligence

Under the partnership, SAP is integrating Nvidia’s generative AI foundry service, including the newly announced Nvidia NIM inference microservices, into SAP Datasphere, SAP Business Technology Platform (BTP), RISE with SAP, and SAP’s enterprise applications portfolio. “We

SAP 118
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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

Industry 105
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ChatGPT, the rise of generative AI

CIO Business Intelligence

This interface paired with increased tokens and an expansive knowledge base with many more parameters, helps ChatGPT to seem quite human-like. Meanwhile, however, many other labs have been developing their own generative AI models. It was 2 years from GPT-2 (February 2019) to GPT-3 (May 2020), 2.5

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The future of professional services in data, platforms, and ecosystems

Trends in the Living Networks

A central theme to our discussion was the role of data in professional services and the broader implications. Many professional firms, not just those focusing on analytics, are helping their clients to capture and leverage data in their operations, sometimes in very specific domains such as legal or engineering. Value in ecosystems.

Data 78