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

CIO Business Intelligence

They can code, write poetry, draw in any art style, create PowerPoint slides and website mockups, write marketing copy and emails, and find new vulnerabilities in software and plot holes in unpublished novels. Embedded AI Embedding AI into enterprise systems that employees were already using was a trend before gen AI came along.

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3 commandments that should drive every API strategy

CIO Business Intelligence

The first is that all interfaces among software developed by any team should be through APIs; the second is that teams should write internal APIs as if they were to be consumed by people outside the company. If you’ve bolted APIs on top of your existing legacy software, you are not API first — at least not historically.

Strategy 137
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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. It equips developers with the necessary knowledge, improving developer efficiency, rapidly resolving issues, and easily maintaining and modernising enterprise systems of various industries.

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The impact of 5G and cloud on telco capex and opex

TM Forum

The same is true of some of the cloud-native software that CSPs now regard as essential for moving to a techco model. Consequently, large up-front capex software deals are becoming less frequent, and vendors are adopting shared success financial models for their solutions. Enterprise demand. High capex costs.

Cloud 130
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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.

Agile 162
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Toyota transforms IT service desk with gen AI

CIO Business Intelligence

Ballard is also the technology executive responsible for both the company’s battery electric vehicle (BEV) platform as it shifts to electrification, and its digital platform engineering and architecture organization, and he counts on conversational AI and generative AI as major components to transform HR and IT service requests.