How Multi-Agent Systems Solve Complex Problems

🤖 In the next 5–7 years, investors might not be human at all. Christoph Kampitsch (Scytale Digital) explains why AI agents could replace portfolio managers and why founders may soon pitch to algorithms instead of people. 📺 Full talk: https://lnkd.in/gVvBWtGF #IBW2025 #IstanbulBlockchainWeek #Web3Event #AI

On the stream I did with Allen Helton last week, we discussed the importance of determinism for enterprise AI agents and why the focus should be on the outcome rather than the different responses you can get from an agent. #ai #agent

Great discussion on the "Controlling the Chaos: AI in the Real World" panel at Activant Capital's Genesis Decoded. Our CEO, Billy Sarracino, is sharing insights on how Artificial Intelligence is delivering tangible business impact and transforming the future of the supply chain. #GenesisDecoded #AI #SupplyChain

PCQuest September Edition is Out Now! Featuring Rubal Sahni, AVP - India and Emerging Markets at Confluent, sharing insights on "The Power of Real-Time Data: Unlocking AI’s Full Potential". 🔍 Don’t miss this exclusive take on how real-time data is shaping the future of AI and business innovation. 📖 Read more & get your copy now:  https://lnkd.in/gWijCph9 #PCQuest #AI #RealTimeData #TechLeadership #InnovationInTech #DataDriven #ThoughtLeadership #DigitalTransformation #CXOInsights #FutureOfAI #SeptemberEdition #MustRead

Everyone has a trend report. Ours was built for technology advisors. The Telarus Tech Trends Report goes beyond forecasts. It shows where your clients are actually investing, what’s working now, and how to lead the AI-driven transformation that’s already underway. Don’t guess where the market’s headed. Lead the conversation: https://ow.ly/G0ZV50X6A3B #Telarus #TechTrends #TechnologyAdvisors #AI #BusinessGrowth #FutureofTech Adam Edwards

As LLMs get bigger, so do the risks of hallucination, overconfidence, and abstraction from source truth. We're entering a phase where evaluation—not just generation—becomes the differentiator. Alignment is the product. #AI #LLM #GenAI

Long context limitations In various sections of this guide, we talked about how Gemini models achieve high performance across various needle-in-a-haystack retrieval evals. These tests consider the most basic setup, where you have a single needle you are looking for. In cases where you might have multiple "needles" or specific pieces of information you are looking for, the model does not perform with the same accuracy. Performance can vary to a wide degree depending on the context. This is important to consider as there is an inherent tradeoff between getting the right information retrieved and cost. You can get ~99% on a single query, but you have to pay the input token cost every time you send that query. So for 100 pieces of information to be retrieved, if you needed 99% performance, you would likely need to send 100 requests. This is a good example of where context caching can significantly reduce the cost associated with using Gemini models while keeping the performance high. #AI #GenerativeAI #LargeLanguageModels #MachineLearning #ArtificialIntelligence #DeepLearning #Innovation #FutureOfAI #NaturalLanguageProcessing #TechTrends

Live, dynamic datasets replace static snapshots, enabling adaptive decision-making in real time. Trials can launch in parallel, AI-driven intake can scale instantly, and integration cycles that once took months are reduced to minutes. The result is a more agile, efficient system that accelerates research without sacrificing quality. 👉 From static to dynamic. From insight to impact. Learn more: www.firsthx.com #ClinicalTrials #AI #DigitalHealth #ResearchInnovation #FirstHx

Integrating clinical trial screening into the process of care. FirstHx asks the questions to help determine clinical trial eligibility every time Screen for one trial or many Real time data at the point of care

Exciting to see our client FirstHx leading the way in transforming clinical trials with real-time, dynamic datasets. By replacing static snapshots with adaptive, AI-driven tools, trials can move faster, scale instantly, and integrate seamlessly—accelerating research while maintaining the highest quality standards. Innovation like this is exactly what healthcare needs to drive speed, efficiency, and better outcomes.