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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Many still rely on legacy platforms , such as on-premises warehouses or siloed data systems. Maintaining legacy systems can consume a substantial share of IT budgets up to 70% according to some analyses diverting resources that could otherwise be invested in innovation and digital transformation.

Insurance 164
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The future of data: A 5-pillar approach to modern data management

CIO

It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies.

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. To address these challenges, a U.S.

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Are you ready for MLOps? 🫵

Xebia

We spent time trying to get models into production but we are not able to. These days Data Science is not anymore a new domain by any means. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. Why is that?

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Mage aims to be the ‘Stripe for AI;’ raises $6.3M for developer tools to build AI into apps

TechCrunch

Mage , developing an artificial intelligence tool for product developers to build and integrate AI into apps, brought in $6.3 While collaborating with product developers, Dang and Wang saw that while product developers wanted to use AI, they didn’t have the right tools in which to do it without relying on data scientists.

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Top 7 Tips for Scaling Your Artificial Intelligence Strategy

OTS Solutions

There Are Top Seven Tips for Scaling Your Artificial Intelligence Strategy. In just the last few years, a large number of enterprises have started to work on incorporating an artificial intelligence strategy into their business. Include Responsibility and Accountability. Are any compliance controls put in place?