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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. What were some of the machine learning algorithms that were used in these early days?

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Erik Schwartz, Chief AI Officer (CAIO) Tricon Infotech – Interview Series

Unite.AI

His work, most recently on the Scopus AI project at Elsevier, underscores his commitment to redefining the boundaries of how we engage with information and create a trusted relationship with users. How have your experiences at companies like Comcast, Elsevier, and Microsoft influenced your approach to integrating AI and search technologies?

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Journey to AI blog

AI algorithms may provide a significant advantage in real-time forecasting due to their ability to elucidate and infer complex patterns within data and allow for reinforcement to drive continuous learning and improvement, which can help lead to a more accurate and informed forecasting outcome.

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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Here are the essential skills and expertise required for an AI strategist: Technical Knowledge A solid foundation in AI technologies is essential for understanding how they can be applied to solve business problems. This involves assessing market trends and identifying opportunities for AI integration.

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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. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.

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Powerful AI Tools Can Change Your Small And Medium Business Growth

Towards AI

Remember, AI tools are powerful tools, not magic wands. Embrace continuous learning: The rapidity of the emerging AI landscape constantly requires continuous learning. Here’s a roadmap to help you answer the what, when, why, and how of AI implementation: 1.

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AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning Blog

Use case overview Using generative AI, we built Account Summaries by seamlessly integrating both structured and unstructured data from diverse sources. This includes sales collateral, customer engagements, external web data, machine learning (ML) insights, and more.