Latest news with #Orchestrator
Time of India
2 days ago
- Business
- Time of India
Microsoft's new AI tool a medical genius? Tech giant claims it is 4x more accurate than real doctors
Tech giant Microsoft, recently hit with a fresh round of layoffs, has developed a new medical AI tool that performs better than human doctors at complex health diagnoses, creating a 'path to medical superintelligence'. The Microsoft AI team shared research that demonstrated how AI can sequentially investigate and solve medicine's most complex diagnostic challenges—cases that expert physicians struggle to answer. Tech company's AI unit, led by the British tech pioneer Mustafa Suleyman , has developed a system that imitates a panel of expert physicians tackling 'diagnostically complex and intellectually demanding' cases. Microsoft AI Diagnostic Orchestrator (MAI-DxO) correctly diagnosed up to 85% of NEJM case proceedings, a rate more than four times higher than a group of experienced physicians. MAI-DxO also gets to the correct diagnosis more cost-effectively than physicians, the company said in a blog post. ALSO READ: Microsoft layoffs: Tech giant's sales head Judson Althoff asked to go on two-month leave. Here's why Microsoft says AI system better than doctors The Microsoft AI Diagnostic Orchestrator', or MAI-DxO for short, the AI-powered tool is developed by the company's AI health unit, which was founded last year by Mustafa Suleyman. The tech giant said when paired with OpenAI's advanced o3 AI model, its approach 'solved' more than eight of 10 case studies specially chosen for the diagnostic challenge. When those case studies were tried on practising physicians – who had no access to colleagues, textbooks or chatbots – the accuracy rate was two out of 10. Microsoft said it was also a cheaper option than using human doctors because it was more efficient at ordering tests. When benchmarked against real-world case records, the new medical AI tool 'correctly diagnoses up to 85% of NEJM case proceedings, a rate more than four times higher than a group of experienced physicians' while being more impressive is that these cases are from the New England Journal of Medicine and are very complex and require multiple specialists and tests before doctors can reach any conclusion. Live Events According to The Wired, the Microsoft team used 304 case studies sourced from the New England Journal of Medicine to devise a test called the Sequential Diagnosis Benchmark. A language model broke down each case into a step-by-step process that a doctor would perform in order to reach a diagnosis. ALSO READ: Melania should be on first boat: Deportation calls for US' First Lady gains traction amid Trump's immigration crackdown Microsoft new AI tool diagnosed 85% cases For this, the company used different large language models from OpenAI, Meta, Anthropic, Google, xAI and DeepSeek. Microsoft said that the new AI medical tool correctly diagnosed 85.5 per cent of cases, which is way better compared to experienced human doctors, who were able to correctly diagnose only 20 per cent of the cases. "This orchestration mechanism—multiple agents that work together in this chain-of-debate style—that's what's going to drive us closer to medical superintelligence,' Suleyman told The Wired. Microsoft announced it is building a system designed to mimic the step-by-step approach of real-world clinicians—asking targeted questions, ordering diagnostic tests, and narrowing down possibilities to reach an accurate diagnosis. For example, a patient presenting with a cough and fever might be guided through blood tests and a chest X-ray before the system determines a diagnosis like pneumonia. ALSO READ: Sean Diddy Combs' secret plan against his ex Jennifer Lopez emerges amid sex-trafficking trial Microsoft said its approach was able to wield a 'breadth and depth of expertise' that went beyond individual physicians because it could span multiple medical disciplines. It added: 'Scaling this level of reasoning – and beyond – has the potential to reshape healthcare. AI could empower patients to self-manage routine aspects of care and equip clinicians with advanced decision support for complex cases.' Microsoft acknowledged its work is not ready for clinical use. Further testing is needed on its 'orchestrator' to assess its performance on more common symptoms, for instance. Economic Times WhatsApp channel )
Indian Express
3 days ago
- Health
- Indian Express
Microsoft claims its new medical AI tool is 4x more accurate than doctors
Microsoft has developed a new medical AI tool, which it claims can 'sequentially investigate nd solve medicine's most complex diagnostic challenges' that even expert physicians struggle to answer. Called 'Microsoft AI Diagnostic Orchestrator', or MAI-DxO for short, the AI-powered tool is developed by the company's AI health unit, which was founded last year by Mustafa Suleyman. In a blog post, the tech giant said that when benchmarked against real-world case records, the new medical AI tool 'correctly diagnoses up to 85% of NEJM case proceedings, a rate more than four times higher than a group of experienced physicians' while being more cost-effective. What's impressive is that these cases are from the New England Journal of Medicine and are very complex and require multiple specialists and tests before doctors can reach any conclusion. In a statement to the Financial Times, the chief executive of Microsoft AI said that the new AI model was a big step towards 'medical superintelligence' and could help doctors by easing their workload. Microsoft AI Diagnostic Orchestrator works by creating a virtual panel of five AI agents, each of which acts as a doctor with distinct roles like choosing diagnostic tests and coming up with hypotheses. The tech giant said its new AI system was trained on 304 studies that described some of the most complex cases solved by doctors and used a new technique called 'chain of debate', which it says gives a step-by-step account of how the AI solves real-world problems. For this, the company used different large language models from OpenAI, Meta, Anthropic, Google, xAI and DeepSeek. Microsoft said that the new AI medical tool correctly diagnosed 85.5 per cent of cases, which is way better compared to experienced human doctors, who were able to correctly diagnose only 20 per cent of the cases. One thing to note is that physicians weren't allowed to refer to textbooks or get advice from their colleagues, something which could have improved their success rate. Microsoft's new experimental tool does show promising results, but before generative AI can be safely used to diagnose patients, we will need more data and regulatory frameworks in place. To do this, the tech giant said it is tying up with health organisation to test and validate its approach before making the tool available to healthcare specialists.
Yahoo
24-04-2025
- Business
- Yahoo
Redis and UiPath Build on Existing Collaboration to Deliver Agentic Automation to Enterprises via On-Premises Solutions
With Redis already powering UiPath's Automation Suite and Orchestrator, the two companies are exploring opportunities to support UiPath's agentic offerings with Redis for AI SAN FRANCISCO, April 24, 2025 (GLOBE NEWSWIRE) -- Redis, the world's fastest data platform, and UiPath (NYSE: PATH), a leading enterprise automation and AI software company, today expanded their collaboration toward furthering agentic automation solutions for customers. Redis, a UiPath Technology Alliance partner, has played a crucial role in increasing the speed and efficiency of UiPath's Automation Suite. Redis powers UiPath Orchestrator's high-availability add-on (HAA), an on-premises offering that improves the performance of robotic process automation applications at scale. Together, Redis and UiPath deliver over 1,000 enterprise-grade on-premises deployments of Automation Suite, delivering a faster, highly-available user experience. While Large Language Models (LLMs) provide the foundational, generalized knowledge for AI Agents, true problem-solving requires more than just expert advice. Human decision-making involves leveraging various types of memory, and AI Agents must similarly incorporate situation-specific context, experiential knowledge, episodic memory, and working memory. In the realm of AI, these translate to context retrieval, semantic caching, agentic memory, and agent state tracking. Redis excels in powering the critical memory layer of AI applications and agents, ensuring they operate with the efficiency and depth required to achieve UiPath's vision of seamless, intelligent workflows that emulate human-like problem-solving abilities. By extending their partnership, Redis and UiPath will explore ways to leverage the Redis vector database, Semantic Caching, and Semantic Routing to support UiPath Agent Builder, a secure, simple way to build, test, and launch agents and the agentic automations they are executing. With Redis powering these solutions, UiPath agents will understand the meaning behind user queries, making data access faster and system responses smarter, which delivers greater speed and cost efficiency to enterprise developers looking to take advantage of automation. Additionally, via the utilization of semantic routing, UiPath agents will be able to leverage the best LLM or LLM provider depending on the context, intent, and use-case which the customer is trying to solve. 'Enterprises have relied on UiPath Automation Suite and Orchestrator to build and manage their RPA applications, and we're proud that Redis is helping to power these solutions,' said Stéphane Dubois, SVP and GM of EMEA and APAC at Redis. 'Looking ahead, we're eager to build on this collaboration with UiPath and support new, innovative agentic solutions that enable developers across industries to build fast, powerful, and accurate agents that are rooted in their businesses' needs and context.' UiPath Agent Builder builds on the RPA capabilities and orchestration of UiPath Automation Suite and Orchestrator to deliver unmatched agentic capabilities. Agent Builder will utilize a sophisticated memory architecture that enables agents to retrieve relevant information only from permissioned, governed knowledgebases and maintain context across planning and execution. This architecture will enable developers to create, customize, evaluate, and deploy specialized enterprise agents that can understand context, make decisions, and execute complex processes while maintaining enterprise-grade security and governance. 'As we innovate new agentic capabilities for our customers such as Agent Builder, we're excited to pursue opportunities to expand our use of Redis to deliver greater speed, accuracy, reliability, and cost-efficiency to our customers,' said Raghu Malpani, Chief Technology Officer at UiPath. 'Across our Automation Suite and Orchestrator solution, Redis delivers proven speed and cost benefits in our most intensive enterprise deployments. Our further collaboration with Redis can help customers across all industries maximize market leading automation and agentic technologies to enable robots, agents, and people to facilitate end-to-end automation.' Learn more about Redis and get started for free here. To learn more about UiPath, visit: About RedisRedis is the world's fastest data platform. From its open source origins in 2011 to becoming the #1 cited brand for caching solutions, Redis has helped more than 10,000 customers build, scale, and deploy the apps our world runs on. With cloud and on-prem databases for caching, vector search, and more, Redis helps digital businesses set a new standard for app speed. Located in San Francisco, Austin, London, and Tel Aviv, Redis is internationally recognized as the leader in building fast apps fast. Learn more at Redis Media ContactLaunchSquadRedis@ in to access your portfolio
Forbes
10-04-2025
- Business
- Forbes
Key Insights From Adobe Summit On Agentic AI And B2B Innovation
Just over three weeks ago, the curtain came down on Adobe Summit in Las Vegas, Adobe's annual customer event. Last year's event was dominated by news of how Adobe was leveraging generative AI and infusing it across its platform and product set to help brands achieve personalization at scale. Of all the announcements made, what stood out to me, in particular, was how Adobe was using it to help marketers overcome traditional time and cost challenges in the content production process through its Content Supply Chain approach. Adobe headquarters in San Jose, California, USA This year, however, much of the talk focused not on generative AI but on agentic AI and the new possibilities it offered marketers. There were too many announcements to describe here, so here are my four big takeaways from this year's event: Adobe announced Agent Orchestrator, a new capability in the Adobe Experience Platform. It features 10 purpose-built AI agents that cover everything from audience optimization, content production, and customer journey optimization to data insights, data engineering, and site and workflow optimization. Adobe Experience Platform Agent Orchestrator Now, while all of the purpose-built agents are powerful applications that will undoubtedly increase the capacity and productivity of marketers and creatives, it was the data insights and data engineering agents that caught my eye. Why? The Data Insights Agent simplifies and enhances the process of deriving insights from signals across an organization, enabling marketers to visualize, forecast, and improve customer experiences in real-time. Meanwhile, the Data Engineering Agent supports high-volume data management tasks such as data integration, cleansing, and security- a complex operation as businesses continue to connect disparate data within their organization. These agents are taking on what is often arduous and time-consuming work, and while the demos I saw were powered by synthetic, clean data, the power and value were clear to see. Now, assuming that an enterprise has clean data, and that's no small assumption to make or challenge to overcome, these particular agents are going to have a significant impact on productivity and efficiency and could potentially call into question the number of data analysts that a marketing team needs. That's not just me talking. I discussed this with an executive from a large telecom firm at the event, and they mentioned that, due to the rapid evolution and increasing sophistication of AI-powered analytical tools in this space, they are considering resizing their data analyst team to concentrate on the top 25% of their analysts while redeploying the other 75% to different areas of the business. Hence, my quick take …. traditional data and business analysts look out! There is not a lot to say about Adobe's new Brand Concierge other than….. If you want to see what a multi-modal, brand-centric concierge-type experience looks like - one that can take a known customer from discovery to recommendation to purchase - then look no further. Check it out. It's going to be the future. Many Martech-focused events are dominated by B2C case studies, use cases and applications. This is despite the fact that, according to data cited at the event, B2B transactions typically account for around 70% of the GDP of most advanced and industrialised economies. So, it was refreshing to see Adobe lean into B2B marketing and Go-To-Market (GTM) orchestration at their event and illustrate how their platform can be used to deliver personalization at scale for B2B brands. Moreover, of the ten purpose-built AI agents Adobe announced at the event, one of them is a dedicated B2B application that focuses on account qualification, where the AI agent supports the evaluation and advancement of opportunities in a sales pipeline by automating the provision of the right content to the right people, within an enterprise buying group (i.e. the committee of individuals responsible for major purchasing decisions at an enterprise), at the right time based on where they are in their journey. Now, this sounds great and is in line with research that shows that B2B buyers spend 70% of their buying journey doing their own research before talking to vendors. However, what wasn't clear was what happens in those cases where a member of a buying group has a pre-sale question, for clarification, say, that comes about as a result of consuming some of the content that has been shared with them. It may seem like a small thing, but how that hand-off is managed and how context is passed through to the pre-sales rep or customer service agent can play an outsized role in how the buyer feels about their whole experience. A bad experience could lead to the souring of the individual's and, possibly, their whole buying group's view of the vendor. While at the event, I got a chance to talk to Vivek Pandya, Director at Adobe Digital Insights, about some new research coming out of Adobe that highlights the fast-growing proportion of web traffic that is now originating from generative AI assistants. Specifically, the research found that traffic to UK retail, travel, and financial services websites from AI Assistants has surged in the last 6-7 months. Banks are experiencing the largest increase in this AI-driven growth, with a 700% increase in visit share since August, compared to around a 500% increase in the Retail and Travel sectors. Moreover, these volumes are growing at a rate of more than 30% each month, suggesting that web traffic originating from generative AI assistants is quickly becoming a significant channel that brands need to navigate. Over the same period, brands in the US have experienced a 1,200% to 1,700% increase in traffic growth. But here's where it gets interesting. Digging into the data with Pandya shows that ChatGPT is by far the most commonly used assistant among those who have used Al assistants in the past month, followed by Google Gemini and then Microsoft CoPilot. Now, while to feature in the search results coming from Gemini and CoPilot, it would seem pretty safe to assume that the same rules of good search and Search Engine Optimization (SEO) would apply. The same is not true of ChatGPT, as speaking to two senior executives at the event, one from an international financial services company and another from a large US telecoms firm, they and their teams were not 100% clear on what is driving their search results, where all of their data is coming from and how up-to-date it is, despite the fact that OpenAI announced in May 2023 that ChatGPT would have access to real-time data from Microsoft's Bing search engine. As a result, they find themselves in near-constant contact with their search agencies about this issue to better understand how it affects their business and, particularly, how it affects their real-time pricing offers. What's clear from this is that there are lots of assumptions being made, and there is some confusion about what it takes to win in this new and fast-growing AI-assistant web traffic space. That needs to change if brands are to prosper.
Yahoo
18-03-2025
- Business
- Yahoo
NICE Wins Overall Best of Enterprise Connect and Best Innovation in Customer Experience At Enterprise Connect 2025 For CXone Mpower Orchestrator
CXone Mpower Orchestrator is the first true end-to-end AI automation solution in customer service, able to proactively transform complex customer service workflows across front-office care and back-office operations with agentic AI HOBOKEN, N.J., March 18, 2025--(BUSINESS WIRE)--NICE (Nasdaq: NICE) today announced that it was named the Overall Best of Enterprise Connect and recognized for Best Innovation in Customer Experience at Enterprise Connect 2025, a leading conference and exhibition for enterprise communications and customer experience. Both accolades were awarded for NICE's CXone Mpower Orchestrator, the only solution that delivers true end-to-end automation for customer service by unifying all touchpoints, including virtual agents, live agents and back-office workflows, on a single AI platform. Best of Enterprise Connect recognizes excellence and innovation in the enterprise communications and collaboration industry. Judges reviewed entries focusing on factors including technology advancement, innovation and business impact. Built natively on CXone Mpower, the industry's leading customer service AI platform, Orchestrator seamlessly integrates AI-driven insights, third-party applications, and enterprise-wide workflows into a unified, automated, and optimized framework. Unlike traditional workflow tools that offer only partial visibility or limited automation, Orchestrator analyzes, predicts, and optimizes processes dynamically, proactively identifying and implementing improvements across the entire service ecosystem. Orchestrator also connects customer service operations from intent to fulfillment across human-assisted and self-service touchpoints. It allows businesses to personalize workflows and forecast automation, satisfaction and process improvements, giving clear visibility into the impact of changes before they are implemented. Eric Krapf, General Manager, Enterprise Connect said, "Each year we have the honor to celebrate the most innovative technologies in the enterprise communications and customer experience industry. This year, we congratulate NICE on its superior innovation with CXone Mpower Orchestrator. It is a highly impactful development in customer service automation, and we're pleased to recognize this innovation with the Overall Best of Enterprise Connect award." Barry Cooper, President, CX Division, NICE, said, "CXone Mpower Orchestrator tackles the top challenge plaguing IT leaders today: siloed operations. In an era of complex customer service—spanning live and AI agents across countless channels as well as blurred boundaries with the rest of the organization— Orchestrator delivers the clarity and control of workflows that enterprises need. I'm thrilled that the Best of Enterprise Connect awards has recognized this groundbreaking innovation in AI-driven customer service automation for IT and business leaders." Learn more about NICE CXone Mpower Orchestrator here. Winners were announced during an awards presentation at Enterprise Connect 2025. For more information: About Enterprise ConnectFor more than 30 years, Enterprise Connect has been the leading conference and exhibition for enterprise communications and customer experience in North America. Enterprise Connect brings corporate IT decision makers together with the industry's vendors, analysts and consultants to focus on the issues central to enterprise communications. Enterprise Connect owns and produces No Jitter, ( providing daily blogging and analysis of enterprise communications, and it also serves the community with a weekly email newsletter, research surveys and a Webinar Series. For more information, visit Enterprise Connect is brought to you by Informa Connect. About Informa TechInforma Tech is a leading provider of market insight and market access to the global business technology community. Through in-depth expertise and an engaged audience community, Informa Tech helps business professionals make better technology decisions and marketers reach the most powerful tech buyers and influencers in the world. Across its portfolio of over 100+ trusted brands, Informa Tech has over 1000 industry experts, including over 400 research analysts and consultants in global research group Omdia, and a monthly audience reach of over 125 million. Informa Tech is a division of FTSE 100 company Informa plc. About NICEWith NICE (Nasdaq: NICE), it's never been easier for organizations of all sizes around the globe to create extraordinary customer experiences while meeting key business metrics. Featuring the world's #1 cloud native customer experience platform, CXone, NICE is a worldwide leader in AI-powered self-service and agent-assisted CX software for the contact center – and beyond. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, partner with NICE to transform - and elevate - every customer interaction. Trademark Note: NICE and the NICE logo are trademarks or registered trademarks of NICE Ltd. All other marks are trademarks of their respective owners. For a full list of NICE's marks, please see: Forward-Looking StatementsThis press release contains forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Such forward-looking statements, including the statements by Mr. Cooper, are based on the current beliefs, expectations and assumptions of the management of NICE Ltd. (the "Company"). In some cases, such forward-looking statements can be identified by terms such as "believe," "expect," "seek," "may," "will," "intend," "should," "project," "anticipate," "plan," "estimate," or similar words. Forward-looking statements are subject to a number of risks and uncertainties that could cause the actual results or performance of the Company to differ materially from those described herein, including but not limited to the impact of changes in economic and business conditions; competition; successful execution of the Company's growth strategy; success and growth of the Company's cloud Software-as-a-Service business; changes in technology and market requirements; decline in demand for the Company's products; inability to timely develop and introduce new technologies, products and applications; difficulties in making additional acquisitions or difficulties or delays in absorbing and integrating acquired operations, products, technologies and personnel; loss of market share; an inability to maintain certain marketing and distribution arrangements; the Company's dependency on third-party cloud computing platform providers, hosting facilities and service partners; cyber security attacks or other security breaches against the Company; privacy concerns; changes in currency exchange rates and interest rates, the effects of additional tax liabilities resulting from our global operations, the effect of unexpected events or geo-political conditions, such as the impact of conflicts in the Middle East that may disrupt our business and the global economy; the effect of newly enacted or modified laws, regulation or standards on the Company and our products and various other factors and uncertainties discussed in our filings with the U.S. Securities and Exchange Commission (the "SEC"). For a more detailed description of the risk factors and uncertainties affecting the company, refer to the Company's reports filed from time to time with the SEC, including the Company's Annual Report on Form 20-F. The forward-looking statements contained in this press release are made as of the date of this press release, and the Company undertakes no obligation to update or revise them, except as required by law. View source version on Contacts Corporate Media Contact Christopher Irwin-Dudek, +1 201 561 4442, media@ ET Investors Marty Cohen, +1 551 256 5354, ir@ ETOmri Arens, +972 3 763 0127, ir@ CET Sign in to access your portfolio
