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How to build a successful AI strategy

IBM Journey to AI blog

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer. What is an AI strategy?

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PRISM Launches as the World’s First Non-Profit Dedicated to Researching Sentient AI

Unite.AI

Deep Reinforcement Learning, Large Language Models, and AI Consciousness One of the most promising pathways toward developing more autonomous and potentially sentient AI is deep reinforcement learning (DRL). A critical aspect of PRISMs mission is promoting safe and aligned AI development.

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Framing AI strategy

AI Impacts

Zach Stein-Perlman, 6 February 2023 Strategy is the activity or project of doing research to inform interventions to achieve a particular goal. 1 AI strategy is strategy from the perspective that AI is important, focused on interventions to make AI go better. Epistemic status: exploratory, brainstormy.

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Claudionor Coelho, Chief AI Officer at Zscaler – Interview Series

Unite.AI

Claudionor Coelho is the Chief AI Officer at Zscaler, responsible for leading his team to find new ways to protect data, devices, and users through state-of-the-art applied Machine Learning (ML), Deep Learning and Generative AI techniques.

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AI News Weekly - Issue #342: $1 billion gamble to ensure AI doesn’t destroy humanity - Jul 20th 2023

AI Weekly

vox.com ChatGPT Out-scores Medical Students on Complex Clinical Care Exam Questions A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education. techtarget.com Applied use cases AI love: It's complicated Movies have hinted at humans falling for their AI chatbots.

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Why Most Developers Miss the True Potential of LLMs

Towards AI

The confidence to integrate AI into your workflows effectively. The ability to know how to identify which AI developments matter to you. Learn AI and Machine Learning in a no-code environment, gaining a clear understanding of how AI and Large Language Models (LLMs) function.

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Ramprakash Ramamoorthy, Head of AI Research at ManageEngine – Interview Series

Unite.AI

How did you initially get interested in computer science and machine learning ? Initially, my heart was set on mobile app development, but my boss nudged me to complete a machine learning project before moving on to app development. An important aspect of this future is the responsibility of AI developers.