Remove AI Development Remove AI Strategy Remove ML
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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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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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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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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. Previously, Coelho was a Vice President and Head of AI Labs at Palo Alto Networks.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. DL, a subset of ML, excels at understanding context and generating human-like responses.

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Why AI Agents Are Reshaping AI: What You’ll Learn from ODSC East 2025

ODSC - Open Data Science

Autonomous AI agents arent just an emerging research areatheyre rapidly becoming foundational in modern AI development. At ODSC East 2025 from May 13th to 15th in Boston, a full track of sessions is dedicated to helping data scientists, engineers, and business leaders build a deeper understanding of agentic AI.

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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

SageMaker Studio is a comprehensive integrated development environment (IDE) that offers a unified, web-based interface for performing all aspects of the AI development lifecycle. This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines.