Sponsored by Google Cloud
Choosing Your First Generative AI Use Cases
To get started with generative AI, first focus on areas that can improve human experiences with information.
Also inside, AI-powered holograms converse at AWS re:Invent 2024, Schneider Electric, Nvidia partner on AI data center design and more
Here are the most-read stories on AI Business this week.
Agentic AI Set to Rise, With New Cybersecurity Risks: Gartner
Agentic AI could dramatically improve AI’s potential and could be included in 33% of enterprise software applications by 2028, up from 1% today, according to management consultancy Gartner.
But along with potentially game-changing benefits, the technology brings new risks and security threats above and beyond those inherent to AI models and applications, said Avivah Litan, a distinguished vice president analyst at Gartner.
Until now, large language models (LLMs) have not acted on their own initiative, but with agentic AI, LLMs can act autonomously with minimal human supervision. They could adapt to their context and execute goals in complex environments.
This ability could dramatically increase AI’s potential by enabling it to examine data, perform research, compile tasks and complete them in the digital or physical world via APIs or robotic systems.
Finance Operations Lean Heavily on AI: KPMG
New research from KPMG International has found 71% of organizations are using AI in their finance operations, with ‘compelling’ levels of ROI and a wide range of benefits being recorded.
The research, published in the KPMG global AI in finance report, covered 2,900 organizations across 23 countries. It builds on a study conducted earlier in the year covering 1,800 organizations in 10 countries.
Of the 71% of organizations using AI, 41% said they are deploying it to a moderate or large degree, an increase by 5% from the original research conducted in April.
KPMG expects this will rise further to 83% over the next three years.
For the study, KPMG created a maturity framework to categorize respondents into three AI-readiness groups: Leaders, the more advanced and mature in their deployment of AI (24%), middle ground Implementers (58%), and beginners (18%).
AI-Powered Holograms Converse at AWS re:Invent 2024
Amazon Web Services (AWS) and Proto plan to showcase the world's first autonomous, generative conversations between AI-powered holograms at AWS re:Invent 2024.
The installation is set to show holograms of AWS leadership team members engaging in dynamic, AI-driven dialogs that respond to participant input in real time to demonstrate collaborative intelligence.
Representatives of Swami Sivasubramanian, AWS vice president of AI and data, and Nandini Ramani, vice president of monitoring and observability, plan to converse without using a pre-scripted dialog.
It brings together Proto’s holographic communications technology, AI and personalized interaction, to generate immersive, contextual conversations between two AI entities.
Schneider Electric, Nvidia Partner on AI Data Center Design
Schneider Electric has unveiled new data center technologies designed to address the energy-intensive demands of AI systems.
The company announced a new data center reference design, co-developed with Nvidia and introduced the Galaxy VXL uninterruptible power supply (UPS), both addressing the energy and sustainability challenges driven by high demand for AI systems.
The centerpiece of the announcement is a data center reference design developed in collaboration with Nvidia that supports liquid-cooled, high-density AI clusters of up to 132 kW per rack. It is optimized for Nvidia’s advanced AI chips, the GB200 NVL72 and the Blackwell series. The goal is to simplify the design process while addressing the scalability challenges of liquid cooling.
The design includes options for liquid-to-liquid coolant distribution units (CDUs) and direct-to-chip liquid cooling. These technologies aim to enhance energy efficiency and sustainability in hyperscale, colocation and enterprise data centers.
Samsung, Bezos-Backed Chipmaker Closes $693M funding round; $2B Valuation
AI chipmaker Tenstorrent has closed a more than $693 million in a series D funding round, putting the company’s pre-money valuation at $2 billion.
Samsung Securities and AFW Partners led the oversubscribed round. The company also has several notable investors including Hyundai Motor Group, Bezos Expeditions, XTX Markets, Corner Capital, MESH, Export Development Canada, Healthcare of Ontario Pension Plan, LG Electronics, Fidelity Management & Research Company and Baillie Gifford.
Tenstorrent chief operating officer Keith Witek said the company is excited by the “breadth of investors that believe in our vision.”
“If you look at this group, you see a balance of financial investors and strategic investors, as well as some notable individuals that have conviction in our plans for AI,” Witek said. “They respect our team, our technology and our vision. They see the $150M in deals closed as a strong signal of commercial traction and opportunity in the market.”
You May Also Like