What's in Tech : Week of November 16 2024
Dr.Dinesh Chandrasekar (DC)
Chief Strategy Officer & Country Head, India @ Centific AI | Nasscom Deep Tech ,Telangana AI Mission & HYSEA - Mentor & Advisor | Alumni of Hitachi, GE & Citigroup | DeepTech evangelist |Author & Investor| Be Passionate
In this week’s "What’s in Tech" newsletter, we highlight the latest developments in the AI space. Key updates include OpenAI’s proposal to build global AI infrastructure, Microsoft’s launch of industry specific AI models and partnership with Accenture, and AWS’ multi-million dollar deal with IBM.
The four big tech players – Amazon, Microsoft, Google, Meta are leading the charge by pouring billions each quarter towards AI infrastructure, and signaling that they are still attempting to catch up to AI demand and invest more aggressively in AI come 2025.
The company’s next AI model – codenamed Orion – is delivering smaller performance gains compared to its predecessors. Orion performs better at language tasks but may not outperform previous models at tasks such as coding, according to an OpenAI employee.
The company proposed in its policy blueprint at Center for Strategic and International Studies that the AI collaboration begin with the US and its neighboring countries and then expand to include allies around the world.
The company is preparing to release an autonomous AI agent in January 2025 that can control computers and perform tasks independently, code-named “Operator”.
The 5000-employee strong practice will collaborate on AI and Copilot agent templates, extensions, plugins and connectors to help organizations leverage their data and gen AI to reduce costs, improve efficiencies and drive growth.
In collaboration with partners such as Siemens, Bayer, Rockwell Automation, and others, the company launched a new suite of specialized AI models designed to address specific challenges in manufacturing, agriculture, and financial services industries.
The five-year agreement will provide IBM access to AWS's EC2 servers, which have Nvidia GPUs, therefore allowing IBM to progress its AI model training capacity.
The company is laying off 4% of its global workforce, or about 1,000 employees, as it directs efforts towards developing AI chips in a bid to compete against industry bellwether Nvidia.
The companies inaugurated a dedicated facility in HCLTech’s Noida campus, where customers can pilot, navigate and scale innovative solutions to address industry-specific challenges. The same experiences will also be accessible in the HCLTech AI & Cloud Native Lab in London.
Businesses will have access to Google Gemini LLMs, enabling them to test AI-driven use cases in person like natural language understanding techniques, image generation, customer interactions, predictive analytics, and more.
The network can run AI and 5G workloads concurrently, a process known as an AI Radio Access Network (AI-RAN). Applications for the network include autonomous vehicle remote support and robotics control.
The collaboration with US Department of Energy is focused on making sure that Anthropic's AI models do not accidentally leak sensitive information about nuclear weapons.
CEO Cristiano Amon said there has been substantial investments into the supply chain and increasing the production capacity of chips, so the AI boom will not lead to a global chip shortage similar to what happened during the pandemic, even with demand for AI-enabled smartphones rising.
Best Regards
Dinesh Chandrasekar