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

CIO Business Intelligence

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. This article was co-authored by Shail Khiyara, President & COO, Turbotic, and Rodrigo Madanes, EY Global Innovation AI Leader.

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Generative AI: the Shortcut to Digital Modernisation

CIO Business Intelligence

As transformation is an ongoing process, enterprises look to innovations and cutting-edge technologies to fuel further growth and open more opportunities. Organisations are shifting workloads to hybrid cloud environments while modernising mainframe systems to serve the most critical applications.

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Digital Agility Gets a Boost with Identity Management

Fountainhead

Worse, firms should expect that many of their custom apps will have to work alongside other enterprise apps — e.g., marketing, digital experience, privacy/governance, business systems, and of course, security and analytics. The nature of enterprise systems IAM needs to interface with will always change.

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WEF Outlines Path to Cyber Resilience for Manufacturing Sector

SecureWorld News

Titled " Building a Culture of Cyber Resilience in Manufacturing ," the report provides a comprehensive framework for instilling cybersecurity priorities and readiness across manufacturing enterprises. Security practitioners who embed security into their company's safety program will be most successful.

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ChatGPT, the rise of generative AI

CIO Business Intelligence

Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. Enterprise applications of conversational AI today leverage responses from either a set of curated answers or results generated from searching a named information resource. GPT stands for generative pre-trained transformer.

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What makes a CIO truly great?

CIO Business Intelligence

Many firms have been caught out in the embarrassing situation of having spent more time and money on crafting and delivering messages audiences want to hear — for example around sustainability, diversity, AI-capability sets, and privacy — than on programs in these hot-button, snatched-from-the-headlines areas. Today, it’s all about data.

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ESG software: 6 tips for selecting the best fit for your business

CIO Business Intelligence

After putting in place the right data infrastructure and governance for ESG reporting, ensuring the enterprise has the right ESG reporting tools in place is critical. Applying concepts of solution architecture to truly solve the problem end to end is not really negotiable,” she says.