HTC Global Services’ Post

What's next after generative AI? Dive into the future of AI as it evolves from generation to synthesis. Discover how synthesis AI is reshaping industries like insurance with personalized insights and decision support. #futureofinsurance #insurance https://lnkd.in/g-sJCuq4

In his session earlier today, Greg Crowl from Tungsten Automation explored how AI is revolutionising claims processing through a combination of ML and NLP—technologies that have been evolving for decades. He also introduced generative AI, emphasising how its accessibility and rapid acceleration are transforming the insurance industry. Key takeaways: > AI isn’t just a buzzword—it's integrated into real-world business strategies to improve decision-making and speed up processes. > With automation tools, manual claims processes are replaced, enabling faster, more accurate assessments. > The introduction of Copilot for Development allows insurance providers to quickly iterate and prototype claims processes, reducing development time and enhancing efficiency. Greg's message was clear: Don’t just adopt AI for AI's sake—centralise it within your existing business processes and make it actionable. 👀 Watch this space as AI continues to shape the future of insurance! #InsuranceSummit2024 #AIinInsurance #ClaimsProcessing #Innovation #MachineLearning #GenerativeAI

The more I learn about AI, the more I understand its impact on every stage of the SDLC https://lnkd.in/eVUAtKM5

Deploying generative AI and large language models (LLMs) within the language-driven insurance world, allows insurers to leverage their proprietary data to transform core processes, with customer needs at the centre.  Here is what an AI-enabled insurer of the future could look like, according to Leon Gauhman, Founder and Chief Product and Strategy Officer at Elsewhen. https://bit.ly/3w5Cbjo #AI #Innovation #Technology

🤔 BFSI (RPA + NLP + GPT + AI) = EPR KPI + CX - IT TCO  If you quit trying to catch up with every new three-letter idea, here is a short summary for you: a combination of automation solutions and artificial intelligence leads to significant benefits, especially for financial organizations. In the latest story from Anastasiia Zhdanova, discover how a powerful duo of RPA and AI helps save costs, boost productivity, and enhance customer experience in the banking sector 👉 https://bit.ly/3P1xWM6

🤖 AI Agents Primer 🔹 AI agents are autonomous systems designed to perform tasks by making decisions based on their environment and inputs. 🔹 AI agents can be proactive and reactive, meaning they can initiate actions on their own and respond to changes in their environment. Their functionality is often complex and involves a degree of learning or adaptation to new situations. 💡 I wanted to share two resources that can help you get ramped up on Agentic AI : 📚 Notes on vinija.ai: https://lnkd.in/gcAKWXQM 🎥 Tutorial I gave on how to create an LLM chatbot powered by AI Agents : https://lnkd.in/gxBCsJdT

I told you what I want done, now do it. There are high expectations for Ai agents to be able to "do things" for us. Researchers at Carnegie Mellon have published an interesting paper on Autonomous Agents. They found; "The results demonstrate that solving complex tasks is challenging: our best GPT-4-based agent only achieves an end-to-end task success rate of 14.41%, significantly lower than the human performance of 78.24%." It is an interesting paper to read, and I see a lot of cross-application of their approach to PowerAutomate and other RPA efforts where we are trying to automate sub-tasks to help users. Here is the PDF of their paper: https://lnkd.in/e8AavzQa #ocm #ai #changemangement #powerautomate

Curious to know how to scale Generative AI? This “visual example” will help you to understand that ML pipeline automation is a key player in MLOps and LLMops too. To really scale AI within your organization, it's crucial to automate each step. Sure, manual handling might fly for one-off projects, but imagine juggling dozens, even hundreds of models in production—the operational overhead is no joke. Still skeptical? Dive into this real-world use case for proof. Trust me, automating your pipeline isn't just a boost; it's a game-changer for your AI strategy! Apologies for the fu*** 😎 #genai #mlops #llmops #ai #ml

Only a few days to go for the amazing Testing Talks Conference in Sydney, and with all the hype on #AI, I am supper excited to talk about the work we are doing at DevOps1 in the space of Quality Engineering and the impacts by AI. 🤔 How will the future look like? 🤖 From using #Copilot or #GTP as assistive tools, to organisations incorporating #AI on #LowCode / #NoCode Testing Platforms, we remain strong on how our Humanity is critical in the Quality Assurance process. 🛰 Hear more about #DO1Pathfinders 🏔 and how we envision quality in 2030 and beyond and how we are Decoding Quality Engineering with Human Insight in an Age of AI. 🎟 For more details and to grab your tickets, visit https://lnkd.in/gFrh9zSF #TestingTalksSydney #QualityEngineering #FuturePredictions

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