Agile Artificial Intelligence Enterprise Enterprise Systems 
CIO Business Intelligence
DECEMBER 6, 2023
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.
CIO Business Intelligence
APRIL 25, 2023
Enterprise applications of conversational AI today leverage responses from either a set of curated answers or results generated from searching a named information resource. This becomes problematic for enterprise applications, as it is often imperative to cite the information source to validate a response and allow further clarification.
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CIO Business Intelligence
DECEMBER 8, 2023
He’s also a big believer in the agile DevOps concept of “shifting left” when it comes to technology — performing testing and evaluation early in the development process, generally before code is written — and “shifting right” when it concerns talent, where his vision for eliminating Toyota’s service desk is an example. “A
CIO Business Intelligence
AUGUST 8, 2023
It’s no exaggeration to say that modern enterprises run on DevOps. Rapidly moving markets and constantly changing business conditions require development teams to work closely with operations and end-users in a flexible, agile manner. ESM can help enterprise DevOps teams gain the same agility and power as startup teams.
SecureWorld News
AUGUST 7, 2023
Despite the active contributions of SDLC methodologies over the past 20 years—such as Waterfall, Agile, V-shaped, Spiral, Big Bang, and others—there remains a lack of security-by-design for integration into AI developments such as ChatGPT, DALL-E, and Google's Bard. Why should AI get a pass on S (Secure) SDLC methodologies?
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