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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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4 hidden risks of your enterprise cloud strategy

CIO Business Intelligence

As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT.

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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We

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How CareSource ditched its data silos

CIO Business Intelligence

As companies re-evaluate current IT infrastructures and processes with the goal of creating more efficient, resilient, and intuitive enterprise systems, one thing has become very clear: traditional data warehousing architectures that separate data storage from usage are pretty much obsolete.

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Integration is Essential to Growth Hacking

IT Toolbox

Growth hacking requires an organization to align content marketing, marketing automation and marketing analytics systems towards the goals of hyperactive growth through marketing. Growth hacking requires integration of core systems and a flexible marketing integration architecture with hooks to enterprise systems.

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A Customer Centric Architecture

Future of CIO

Customer Centricity should always get reflected in organizational design or architecture. Ensure the "traceability" of the transformation of these business requirements to make them handled by the proper functions (of processes) and its related information systems. It starts with the business requirements definition and requirements.

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Digital Agility Gets a Boost with Identity Management

Fountainhead

Here's why: IAM systems have traditionally been embedded into apps and frameworks (think: React, Angular, JS, etc.). And when it comes time to integrate those apps with other identity-driven systems, the approach can create a massively inflexible infrastructure.

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