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9 IT skills where expertise pays the most

CIO

AI skills broadly include programming languages, database modeling, data analysis and visualization, machine learning (ML), statistics, natural language processing (NLP), generative AI, and AI ethics. As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool.

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Could machine learning refresh the cloud debate?

TechCrunch

But the rise of machine learning makes us suspect that answers might soon change. — Anna. How Expensify hacked its way to a robust, scalable tech stack. ” Could machine learning refresh the cloud debate? Should early-stage founders ignore the never-ending debate on server infrastructure?

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Scaling AI talent: An AI apprenticeship model that works

CIO

The hunch was that there were a lot of Singaporeans out there learning about data science, AI, machine learning and Python on their own. Because a lot of Singaporeans and locals have been learning AI, machine learning, and Python on their own. I needed the ratio to be the other way around! And why that role?

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AI in action: Stories of how enterprises are transforming and modernizing

CIO

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. And its modular architecture distributes tasks across multiple agents in parallel, increasing the speed and scalability of migrations.

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Bridging the IT skills gap, Part 1: Assessing current strategies and introducing GenAI as a unified solution

CIO

The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. The full code of the demo is available in the GitHub repository.

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AI market evolution: Data and infrastructure transformation through AI

CIO

Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support. AI applications are evenly distributed across virtual machines and containers, showcasing their adaptability.