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Building a vision for real-time artificial intelligence

CIO

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Sound familiar?) It isn’t easy. A unified data ecosystem enables this in real time.

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Generative AI in enterprises: LLM orchestration holds the key to success

CIO

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. For readers short on time, you can skip to the section titled Strategies for effective LLM orchestration.

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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein 1 platform , in turn, is a data engine with a low code and no code interface that is designed to let enterprises connect data to build AI-based applications.

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TransUnion transforms its business model with IT

CIO

Count TransUnion among the rising tide of enterprises evolving their identities thanks to IT. “We billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. But following its $3.1

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Demystifying Artificial Intelligence (AI) and Generative AI

Newgen Software

Artificial intelligence (AI) has made its presence felt across all domains. The latest to jump onto the artificial intelligence (AI) bandwagon is Generative AI (GenAI). For many, GenAI served as their gateway to understanding the expansive and transformative world of artificial intelligence (AI).

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12 most popular AI use cases in the enterprise today

CIO

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

Gearing up for change Headquartered in Dusseldorf with 50,000-plus employees, Henkel is more than a CPG enterprise. At the time, the team was focusing on traditional AI, using machine learning capabilities to build a recommendation engine that could help end users perform TPO on the fly. “In