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How to build a successful AI strategy

IBM Journey to AI blog

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. What is an AI strategy?

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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

Automation of building new projects based on the template is streamlined through AWS Service Catalog , where a portfolio is created, serving as an abstraction for multiple products. Monitoring – Continuous surveillance completes checks for drifts related to data quality, model quality, and feature attribution.

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Announcing the 2024 Data Engineering & Ai X Innovation Summits

ODSC - Open Data Science

Join us in the city of Boston on April 24th for a full day of talks on a wide range of topics, including Data Engineering, Machine Learning, Cloud Data Services, Big Data Services, Data Pipelines and Integration, Monitoring and Management, Data Quality and Governance, and Data Exploration.

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AI in Stock Trading : Unlocking Profits

Pickl AI

Discover how Artificial Intelligence (AI) is altering the stock trading sector. This article explores the emergence, development, and benefits of AI in the stock market, including data-driven insights and automated decision-making It emphasizes how AI can forecast market trends and patterns using historical data and in-the-moment analysis.

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Siloed No More: How AI-Driven Tech Stack Consolidation Boosts Revenue

Unite.AI

Below are a few things AI can accomplish to ensure your CRM and BI investments are fully realized. Ingest information, automate tasks, and create useful summaries. Sellers spend a lot of time on admin work, from inputting data to drafting follow-up emails and action items. AI has the ability to automate many of these tasks.

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Utilizing the strengths of each, they now work to help their clients gain insights from their data in a way that propels society toward greater progress.