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Agentic AI design: An architectural case study

CIO

But with the advent of GPT-3 in 2020, LLMs exploded onto the scene, captivating the world’s attention and forever altering the landscape of artificial intelligence (AI), and in the process, becoming an essential part of our everyday computing lives. Don’t let that scare you off.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

With an experience of over twenty years in the Artificial Intelligence (AI) space, Alex Champandard is the co-founder of Creative.ai, a startup that aims at building AI/ML-powered tools for designers and artists. He has recently co-authored Rebooting AI: Building Artificial Intelligence We Can Trust along with Ernest Davis.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

With an experience of over twenty years in the Artificial Intelligence (AI) space, Alex Champandard is the co-founder of Creative.ai, a startup that aims at building AI/ML-powered tools for designers and artists. He has recently co-authored Rebooting AI: Building Artificial Intelligence We Can Trust along with Ernest Davis.

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The key to operational AI: Modern data architecture

CIO

To succeed, Operational AI requires a modern data architecture. These advanced architectures offer the flexibility and visibility needed to simplify data access across the organization, break down silos, and make data more understandable and actionable.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Are enterprises ready to adopt AI at scale?

CIO

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. Another challenge here stems from the existing architecture within these organizations.

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CAIOs are stepping out from the CIO’s shadow

CIO

In a corporate environment, centralizing, organizing, and governing the needs of artificial intelligence, as well as the way to address them, is key, he says. The role of artificial intelligence is very closely tied to generating efficiencies on an ongoing basis, as well as implying continuous adoption.