Merck Manuals, a comprehensive digital health resource, announced today it has launched a new search tool enhanced by artificial intelligence to provide patients and other health care consumers with streamlined access to the trusted medical information and resources provided by the Manuals. The new tool, powered by Google Cloud’s Vertex AI Search and implemented in partnership with…
Pager Health Navigator redefines the member experience by connecting provider, Pager Health, a connected health platform company serving more than 26 million members in the United States and Latin America, today announced the launch of Pager Health Navigator, a seamless, scalable, AI-powered care navigation system that radically transforms the health plan member experience. Pager Health Navigator is the…
Virtualitics, the Mission AI Company, today announced that it has joined Palantir’s FedStart program to deliver its AI platform and applications to U.S. government agencies that require DoD Impact Level 5 (IL5) compliance. This collaboration accelerates Virtualitics’ deployment of its Integrated Readiness Optimization (IRO) application suite across national security organizations and further underscores the company’s…
The strategic round led by Auxier Asset Management, with investments from former eBags board members Peter Cobb, Mike Edwards, and Dave Zentmyer, underscores strong confidence in Iterate’s enterprise-ready AI platform and growth vision Iterate.ai, recently named one of the 20 Hottest AI Software Companies by CRN, has announced $6.4 million in funding led by Auxier…
Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom integration between services. In this tutorial, we’ll use the decorator-based approach provided by the python-a2a library. With simple @agent and @skill decorators, you can define your agent’s…
The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets. However, these models frequently generate outdated or inaccurate information and can reflect biases during deployment, so their knowledge needs to be updated continuously. Traditional fine-tuning methods are expensive and susceptible to catastrophic forgetting. This has…
The Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling tasks like multilingual translation, virtual assistance, and automated reasoning through transformer-based architectures. While highly capable, these models are typically large, requiring powerful cloud infrastructure for training and inference. This reliance leads to latency, high costs, and privacy concerns,…
This is a joint post co-authored with Harsh Vardhan, Global Head, Digital Innovation Hub, Apollo Tyres Ltd. Apollo Tyres, headquartered in Gurgaon, India, is a prominent international tire manufacturer with production facilities in India and Europe. The company advertises its products under its two global brands: Apollo and Vredestein, and its products are available in…
This blog post is co-written with Jacky Leybman from PagerDuty. As organizations scale their digital operations, they face unprecedented challenges in managing and extracting value from their vast data ecosystems, particularly when it comes to data accessibility and quality. The complexity of modern IT operations demands solutions that can efficiently integrate, process, and deliver actionable…
In the context of distributed systems and microservices architecture, orchestrating communication between diverse components presents significant challenges. However, with the launch of Amazon Bedrock Agents, the landscape is evolving, offering a simplified approach to agent creation and seamless integration of the return of control capability. In this post, we explore how Amazon Bedrock Agents revolutionizes…