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From Athletes to GenAI Developers: Intel Tackles Real-World Challenges with AI Systems

07/19/2024 | BUSINESS WIRE
Intel shares exciting details on its collaboration with the International Olympic Committee (IOC) and on an industry-driven generative AI (GenAI) retrieval-augmented generation (RAG) solution.

IDC Survey Identifies Three Areas Where GenAI is Expected to Have the Most Impact on an Organization's Competitive Position or Business Models

07/03/2024 | IDC
A recent survey of technology buyers worldwide found that technology decision making, financial and operational systems, and customer engagement, experience, and support are the three business areas where generative artificial intelligence (GenAI) is most likely to impact their organization's future competitive position or business model.

AI Expansion to Transform India: Spending Expected to Reach $6 Billion by 2027

06/24/2024 | IDC
According to International Data Corporation (IDC), Artificial Intelligence (AI) and Generative AI (GenAI) adoption in India significantly increased, including software, services, and hardware for AI-centric systems, with spending projected to reach $6 billion by 2027 and a compound annual growth rate (CAGR) of 33.7% for the period 2022-2027.

Gartner Forecasts Worldwide IT Spending to Grow 8% in 2024

04/17/2024 | Gartner, Inc.
Worldwide IT spending is expected to total $5.06 trillion in 2024, an increase of 8% from 2023, according to the latest forecast by Gartner, Inc. This is an increase from the previous quarter’s forecast of 6.8% growth and puts worldwide IT spending on track to surpass $8 trillion well before the end of the decade.

Intel Breaks Down Proprietary Walls to Bring Choice to Enterprise GenAI Market

04/10/2024 | Intel
At Intel Vision, Intel introduces the Intel® Gaudi® 3 AI accelerator, which delivers 4x AI compute for BF16,  1.5x increase in memory bandwidth, and 2x networking bandwidth for massive system scale out compared to its predecessor – a significant leap in performance and productivity for AI training and inference on popular large language models (LLMs) and multimodal models.
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