Walmart is limiting employee use of its AI assistant, Code Puppy, by assigning a fixed number of AI tokens per employee. This decision is a cost-control measure due to the high demands placed on the large language model supporting the tool. The move aligns with a broader industry shift towards pay-per-use models for AI services, as seen with companies like Anthropic and OpenAI. By setting these limits, Walmart aims to manage expenses while still promoting AI-driven productivity among its workforce.
Read originalE.ON is leveraging SAP S/4HANA to modernize its energy grid infrastructure, focusing on standardizing data and reducing IT downtime by 77% over five years. By integrating AI and machine learning, E.ON aims to enhance operational efficiency through predictive maintenance and customer service automation. The company is strategically avoiding proprietary AI platforms, opting instead for partnerships with established vendors to maintain flexibility. This approach not only aligns with E.ON's sustainability goals but also ensures that new technologies are seamlessly integrated into their core systems, supporting a customer base of 47 million users.
Microsoft's Majorana 2 quantum chip is a significant leap forward in quantum computing, boasting qubits 1,000 times more reliable than its predecessor and a qubit lifetime of 20 seconds. This advancement is not just about the hardware; it's a testament to the power of Microsoft's Discovery agentic AI platform, which played a crucial role in managing complex R&D processes. While the AI didn't directly design the chip, it automated and optimized workflows, enabling breakthroughs that human researchers couldn't achieve alone. With the platform now available to enterprises, Microsoft is setting a new standard for AI-assisted scientific research, potentially accelerating the timeline for commercially viable quantum computing.