Introducing the new look of Opollo – A New Approach to Value-Based Care We're thrilled to unveil the reimagined Opollo. With enticing new product names, a bold new look, and a sleek logo, we are stepping into an exciting new chapter as we bring Opollo to the forefront of the healthcare AI ecosystem. What's new? Aion AI is our revolutionary algorithm designed to supercharge healthcare facility operations. By providing precise duration forecasts, we help facilities maximize efficiency, optimize resource allocation, and boost revenue. With more accurate predictions, facilities can unlock new time slots, which they can then sell to payers on Opollo's Forum – our game-changing marketplace for medical services. While our naming and look have evolved, our mission remains unwavering: ? Greater access to high-quality, low-cost care for patients ? Increased revenues for healthcare facilities ? Reduced costs for payers We couldn't be more excited to share this new phase with you. Check out our updated branding, explore our new logo, and learn more here: www.opollo.ai. Stay tuned—this is just the beginning of something extraordinary! ?? #HealthcareInnovation #AI #FutureOfHealthcare #HealthTech
Opollo Technologies
IT 服务与咨询
Buffalo,NY 291 位关注者
A new approach to value-based care. Learn more at opollo.ai.
关于我们
Opollo is a fintech, healthcare AI company transforming operational efficiency in healthcare. Our platform uses artificial intelligence to precisely predict surgery durations in minutes while also allowing healthcare facilities to sell unused operating room time to payers on a marketplace—like an Airbnb for medical services. With Opollo, healthcare facilities increase revenues, payers reduce costs, and patients receive increased access to high-quality, low-cost care.
- 网站
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https://www.opollo.ai/
Opollo Technologies的外部链接
- 所属行业
- IT 服务与咨询
- 规模
- 2-10 人
- 总部
- Buffalo,NY
- 类型
- 私人持股
- 创立
- 2020
- 领域
- Healthcare Technology
地点
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主要
US,NY,Buffalo
Opollo Technologies员工
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Joaquin Santos
Co-Founder @ TransferAI | AI. SaaS. GTM.
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Wendy Ketner, MD
SVP, Medical Affairs at Expert Institute
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Michael Rhodes
Strategic Enterprise Account Executive @ Cision | Sales, Customer Success
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Ryan Young, MD, MBA
MD/MBA | Quantitative Finance | Artificial Intelligence | Medical Natural Language Processing | Software Engineer | Founder | Chief Executive Officer…
动态
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BIG TIME Webinar coming this Friday ?? I'm talking with Ian Barkin This one will be extremely insightful because: ?? Ian built a very successful RPA business during the RPA heyday and we're seeing a lot of similarities between that movement and the AI Agent movement ??He has real-world experience bringing emerging technology to the application layer - meaning he knows exactly what it takes to extract true value from evolving technologies ??He can't sit on the sidelines while AI takes over the world, so he's starting a new business that I think y'all will find extremely interesting and forward thinking. ??His last company worked primarily with Enterprises and large Mid-markets, a space most AI Agent builders are trying to break into at the moment. --- This is the first of many interview style webinars I'll be doing. You genuinely don't want to miss this one! Sign up here: https://lnkd.in/gJeshD-r #ai #genai #openai #rpa #automation #n8n #aiagents
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My world changed when I understood the difference between traditional computer science (or what computers have been doing for the last few decades+) and AI (really machine learning to be precise). It was like a lightbulb went off. Suddenly, AI made sense. I instantly knew what it could (and couldn’t) do. Traditional computer science is like following a strict recipe. The engineer writes explicit rules for the computer to follow, just as a chef follows step-by-step instructions to bake a cake. Every ingredient, every step is predefined. AI, on the other hand, is like a chef who has tasted thousands of cakes and figures out the best recipe without being told. In other words, instead of being given step-by-step instructions, AI learns from vast amounts of past data and discovers patterns to create the best possible output. One real-world example that I found intriguing is self-driving cars. In traditional programming, an engineer would have to manually write rules for every possible scenario: e.g., "If the light is red, stop. If a pedestrian crosses, slow down." But the real world is too unpredictable for this approach to scale. In AI, the system is fed millions of hours of driving data, learning from real-world patterns and outcomes. It figures out when to stop, slow down, or navigate tricky intersections, not simply because it was explicitly told every rule, but rather, because it learned them from experience. This shift in thinking was one of my biggest breakthroughs. It’s why AI isn't just another software tool; in fact, it’s a fundamental shift in how we solve problems. And when you understand that AI is at its core about learning from data, understanding how AI can be both powerful (and less scary) makes a lot more sense... Any thoughts?
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How does the bible relate to AI and how does one particular passage reflect on AI (I’m not a bible expert, far from it, FYI)? ?What are the trends surrounding who is more likely to be replaced by AI than others? Will AI exterminate us? If my data is accurate, why might it still be garbage and how might that affect ethical decision-making? We'll address all of that and more in the next edition of our Newsletter coming out Tuesday, March 11th entitled, ?? "AI Ethics actually does affect your business' bottom-line, so don't sleep on the Ethics surrounding AI, or you'll be left with bad AI and unhappy clients" ?? Sign up here: https://lnkd.in/eW54Sm69 The topics will be: 1. The Socioeconomic Impact of AI Agents: How will job displacement vs. job augmentation vs. novel jobs end up working out and how does economic inequality play into this? 2. Ethics in AI relating to Data Privacy, Transparency and Fairness 3. Understanding of Emergent Behavior/Black Box/Hallucinations and why it matters for your business 4. Concrete Recommendation on how to Address these Ethical Concerns in YOUR business and How I Feel Overall Governance Should be Addressed (this is an in-depth list of recommendations!)
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Almost all agencies will be fully automated 'factories' VERY soon. ? Here's what you should do as an agency owner to prepare: 1?? Own your Data All agencies have proprietary and valuable data. Content agencies have historical data on high performing content in their niche. Marketing agencies have historical data on high performing marketing campaigns in their niche. Recruiting agencies have historical data on high performing candidate-types for specific roles or industries in their niche. The point is, agencies are collecting important data every day... This data will not only be a high value asset that grows over time, but also a clear differentiator amongst other competitors. 2?? Own your Workflows A lot of agencies differentiate themselves via their proprietary processes. These processes are known as 'Trade Secrets' IP. Think about the Big 4 consulting firms and why companies shell out millions of dollars to these folks. These firms have accumulated decades of information on which workflows produce the highest productivity and highest ROI per employee. These workflows are usually a combination of Human & Software. If you're an agency owner that's concerned with the rapid evolving AI space, it can feel like you have to not only compete with other agencies, but now you're forced to compete with AI. You should flip that on it's head and think: "How can I create an agentic operating system that replicates my current processes for 1/6th of the cost and 10x the volume?" The answer is to convert your workflows into an agentic system, host them on your server, and connect them to your database that I mentioned above. ?? That's pretty much it! Soon, everyone will realize that it's all about the proprietary knowledge (data) and the processes, not the technology. When this happens, agency owners will pivot their priorities to protecting and growing proprietary datasets with the goal of selling that data to LLM providers or building their model. I believe this is inevitable. If you're an agency owner and agree with my take, we'd love to help you get started! #agents #aiagents #n8n #llms #genai #bigdata #data
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My world changed when I understood the difference between traditional computer science (or what computers have been doing for the last few decades+) and AI (really machine learning to be precise). It was like a lightbulb went off. Suddenly, AI made sense. I instantly knew what it could (and couldn’t) do. Traditional computer science is like following a strict recipe. The engineer writes explicit rules for the computer to follow, just as a chef follows step-by-step instructions to bake a cake. Every ingredient, every step is predefined. AI, on the other hand, is like a chef who has tasted thousands of cakes and figures out the best recipe without being told. In other words, instead of being given step-by-step instructions, AI learns from vast amounts of past data and discovers patterns to create the best possible output. One real-world example that I found intriguing is self-driving cars. In traditional programming, an engineer would have to manually write rules for every possible scenario: e.g., "If the light is red, stop. If a pedestrian crosses, slow down." But the real world is too unpredictable for this approach to scale. In AI, the system is fed millions of hours of driving data, learning from real-world patterns and outcomes. It figures out when to stop, slow down, or navigate tricky intersections, not simply because it was explicitly told every rule, but rather, because it learned them from experience. This shift in thinking was one of my biggest breakthroughs. It’s why AI isn't just another software tool; in fact, it’s a fundamental shift in how we solve problems. And when you understand that AI is at its core about learning from data, understanding how AI can be both powerful (and less scary) makes a lot more sense... Any thoughts?
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Do you want to make your own Sales AI Agent? It's not...too hard! Take a look at Devin walking you through it... Let us know if you end up making your own personal AI Agent!! https://lnkd.in/etJhC7c6 Join us weekly for, "The Agentic Future with Devin Kearns," by signing up using the calendar link here: https://lnkd.in/gski5szn -Episode 1 (February 5th, 2025): How modern businesses are building an AI-first sales organization -Episode 2 (February 12th, 2025): Level Up Your A-Players, Replace the Rest with an AI-Driven Marketing Machine -Episode 3 (February 19th, 2025): Hire, Faster, Smarter, and Cheaper with AI-Driven Recruiting -Episode 4 (February 26th, 2025): Augment Your Executive Team with an AI-Powered Second Brain
PART ONE: Sales SuperAgent Tutorial | agentAcademy
https://www.youtube.com/
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If you want to catch why #entrepreneurs and #engineers in #tech, #healthtech, #fintech, #insurtech and #data come see and join the IBM Z ScaleUp Community at: ibm.biz/ibmzscaleup Catch companies like: ?? VeriTX - Creating File Transfer Technology that leverages FIPS 140-2 Level 4 hardware to transfer data securely with IBM Hyper Protect Crypto Services (HPCS) and you will know if the transaction is altered along the way with their FORTIS Transfer product = #security at the highest level possible. ?? Confection - Ability to provide secure marketing data on websites that you cannot get from your traditional #marketing tools. ?? Opollo Technologies - Creating ways to optimize healthcare utilization and financials with their cutting edge #AI Technology to create a better #healthcare system Contact these companies that are all leveraging #IBMHyperProtect Services such as IBM Hyper Protect Crypto Services to give their customers the most secure platform to operate on with #IBMCloud, #hybridcloud, or #multicloud architecture. Adam LG R., Tucker Wilson, James Allen Regenor, PhD, Col USAF(ret), Quimby Melton, Ryan Young, MD, MBA
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I had a wonderful time at the 2024 IBM TechXchange Conference in Las Vegas! I was fortunate enough to meet a lot of great people and attend some fantastic sessions! Saleem Hussain, Brendan Fowkes, Steven Dickens, Dalton Flanagan, Sven Frauen, Christian Ernst, Sudharsana Srinivasan, Shari Chiara
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We are very excited to announce?that Ryan Young, MD, MBA has been selected as a speaker at the 2024 IBM TechXchange Conference in Las Vegas! Here's a link to Ryan's session: IBM Hyper Protect: A Competitive Advantage For Healthcare AI Startups https://lnkd.in/ed2g5MM7 We would like to thank?IBM for being such great partners by sharing their platform with us! If you would like to attend the 2024 IBM TechXchange Conference, here's the registration link: https://lnkd.in/epapxkvv
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