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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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How Autonomous Mobile Robots Are Transforming Retail Customer Experience

Unite.AI

Currently, the market size for AI in the retail market is estimated to be worth about $9 billion and is expected to reach $40 billion by 2029. AMRs with computer vision can scan shelves to help meticulously flag out-of-stock items. With inventory accuracy in the US currently at just 63% , leading to an estimated $634.1

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David Woollard, CTO at Standard AI – Interview Series

Unite.AI

When I got a chance to join Standard, I was drawn to the combination of hard scientific problems in AI and Computer Vision that I loved in my early career with tangible consumer experiences I found most fulfilling. Standard AI was founded seven years ago with the mission to bring autonomous checkout to market.

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Optimizing data flexibility and performance with hybrid cloud 

IBM Journey to AI blog

Organizations are increasingly adopting hybrid cloud solutions that blend the strengths of private and public clouds, particularly beneficial in data-intensive sectors and companies embarking on AI strategy to fuel growth.

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Aleksandra Kjemhus, Co-founder & CEO of Black Door Technology – Interview Series

Unite.AI

Throughout my career, I’ve had the privilege of working closely with these visionary founders and CEOs, which shaped my vision for Black Door Technology: to help shape our future with technology and business model innovation. What should companies consider when developing a robust AI strategy?

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Meta SAM 2.1 is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

is a state-of-the-art vision segmentation model designed for high-performance computer vision tasks, enabling advanced object detection and segmentation workflows. You can now use state-of-the-art model architectures, such as language models, computer vision models, and more, without having to build them from scratch.

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning Blog

This flexibility, combined with the Amazon Bedrock unified API and enterprise-grade infrastructure, allows organizations to build resilient AI strategies that can adapt as their requirements evolve. As an AI&ML Specialist, he focuses on Generative AI, Computer Vision, Reinforcement Learning and Anomaly Detection.