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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. He also held ML and deep learning roles at Google.

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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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AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s

TheSequence

📝 Editorial: AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s The AWS re:Invent conference has long been regarded as the premier event of the year for cloud computing. Bedrock has emerged as the cornerstone of AWS's generative AI strategy, now supporting Anthropic’s Claude 2.1

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Introducing watsonx: The future of AI for business

IBM Journey to AI blog

Today is a revolutionary moment for Artificial Intelligence (AI). After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward.

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“Just Do Something with AI”: Bridging the Business Communication Gap for ML

ODSC - Open Data Science

For instance, if-then rule-based systems or basic scripting might address the issue without the complexity, cost, and risks of AI. Additionally, business stakeholders often have a loose definition of AI and may not distinguish between simple automation, classical ML models, and deep learning techniques.

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With generative AI, don’t believe the hype (or the anti-hype)

IBM Journey to AI blog

Beyond architecture, engineers are finding value in other methods, such as quantization , chips designed specifically for inference, and fine-tuning , a deep learning technique that involves adapting a pretrained model for specific use cases. Hybrid architectures that use multiple types of models are also gaining traction.

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Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC

AWS Machine Learning Blog

release , you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. AWS DLCs provide a set of Docker images that are pre-installed with deep learning frameworks.