Remove 2025 Remove AI Modeling Remove Data Integration
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AI governance gap: 95% of firms haven’t implemented frameworks

AI News

The most common AI use cases reported were customer service and support, predictive analytics, and marketing and ad optimisation. Despite the surge in AI investments, business leaders are acutely aware of the additional risk exposure that AI brings to their organisations.

Big Data 251
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The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

However, businesses scaling AI face entry barriers. Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This process is known as data integration, one of the key components to a strong data fabric.

ETL 222
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A Practical Guide to Making the Most of Your Investment in AI

Unite.AI

When integrated successfully, AI technology can have massive ROI, leading to better sales, more satisfied customers, and streamlined operations that save thousands of dollars each year. With all of this in mind, it’s no surprise that investment in AI is projected to top $200 billion by 2025.

AI 269
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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. Here’s what’s involved in making that happen.

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Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

NVIDIA

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028 , the new AI model has the potential to dramatically improve healthcare accessibility and efficiency. million small molecules in less than eight hours — 10x faster than without NIM.

LLM 91
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World’s First Major Artificial Intelligence AI Law Enters into Force in EU: Here’s What It Means for Tech Giants

Marktechpost

Governance and Enforcement: The Role of the European AI Office and AI Board The European AI Office, which is part of the European Commission, is in charge of enforcing regulations governing general-purpose AI models and ensuring that the AI Act is applied consistently throughout member states.

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How to choose the best AI platform

IBM Journey to AI blog

.” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 AI technology is quickly proving to be a critical component of business intelligence within organizations across industries.