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How to Learn Artificial Intelligence?

Analytics Vidhya

Whatever your goal is, be it becoming a data scientist, machine learning engineer, AI researcher, or just being fascinated by the world of artificial intelligence, this guide is designed for you. In this in-depth article, you will find out the basics of learning AI from scratch, […] The post How to Learn Artificial Intelligence?

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Artificial Intelligence in practice

CIO Business Intelligence

The world has known the term artificial intelligence for decades. Developing AI When most people think about artificial intelligence, they likely imagine a coder hunched over their workstation developing AI models. Today, integrating AI into your workflow isn’t hypothetical, it’s MANDATORY.

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How the world can tackle the power demands of artificial intelligence

CIO Business Intelligence

The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions.

Finance 131
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Mastercard AI: It Detects Compromised Cards Faster, Thwarting Criminals

Analytics Vidhya

With the implementation of advanced artificial intelligence technology, Mastercard is forever changing how it approaches preventing credit card fraud. Their goal with this unique approach is to rapidly detect which cards were compromised to prevent them from being used in criminal activities.

IT 319
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

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9 IT resolutions for 2025

CIO Business Intelligence

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. McDaniel says this work also creates a strong launchpad for more IT innovation in the upcoming year.

IT 140
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What is Skeleton of Thoughts and its Python Implementation?

Analytics Vidhya

Enter the Skeleton of Thoughts (SoT) – a groundbreaking framework poised to revolutionize artificial intelligence and natural language […] The post What is Skeleton of Thoughts and its Python Implementation? appeared first on Analytics Vidhya.

IT 306
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Realizing the Benefits of Automated Machine Learning

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). However, for most organizations embarking on this transformational journey, the results remain to be seen. And for those who are already underway, scaling their results across their organizations is completely uncharted waters.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes.

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How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. It determines ways in which business processes should evolve or be modified, providing implementable solutions with known cost and/or benefit. What are some of the most common use cases for mathematical optimization across industries?

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Best Practices for Modern Records Management and Retention

Speaker: Sean Baird, Director of Product Marketing at Nuxeo

Review advances in automation, integration, and artificial intelligence, and how these technologies are enabling records management in today’s digital environment. Join Sean Baird as he highlights best practices for effective records management and retention.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes.