Maven AGI’s Post

Sixty-one percent of large US firms are already using AI to automate tasks. But that's just the beginning. AI agents are poised to revolutionize how businesses operate by integrating tasks and processes for maximum efficiency and cost savings. Think beyond simple automation. Imagine autonomous systems making decisions and taking actions without human intervention. Are you ready to use AI agents in your business? How do you think you could build your AI agent framework and gain a competitive edge? Read the article here ⬇ #AIRevolution #AutonomousSystems #BusinessTransformation #CompetitiveAdvantage #AIframework #DigitalTransformation https://lnkd.in/eBvKrqif

#Topics Companies Find That AI Projects Have Had "Dismal" Financial Results [ad_1] Brace yourselves for the "Trough of Disillusionment."Flash in the PanWhen OpenAI first released ChatGPT to the public back in late 2022, many people in business were gripped with an intense case of FOMO and started trying to stuff AI into practically everything, from customer chatbots to facial recognition in stadiums.It was all done with an eye to increase efficiency and profit. But that may not have quite panned out: an AI company called Lucidworks released a new report on generative AI this week that revealed that many businesses aren't seeing much in financial returns from their adoption of AI products."In 2023, global leaders expected to see significant positive impacts across business operations, automation and efficiency, and customer experience with generative AI initiatives," the report reads, "Unfortunately, the financial benefits of implemented projects have been dismal. 42 percent of companies have yet to see a significant benefit from their generative AI initiatives."Deploy GuysOne reason the study found that companies aren't realizing much in profit is because AI initiatives — a full 25 percent, in fact — haven't been fully deployed. Why? The study found that many of these AI...

Unlock the full potential of AI for your business by understanding how foundational models like LLMs fit into a broader AI system. Understand the components that make AI systems work, from user experience to knowledge and skills, helping you see new ways to apply AI effectively in your organization. If you're ready to see how AI can drive real value, this is a must-read. If you're looking to further understand and leverage AI, especially Copilot, you can explore how these technologies can transform your business strategy in our upcoming VOMP on September 27th. Register and learn more to stay ahead of the curve. https://bit.ly/VOMP2024

𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝗠𝗟𝗢𝗽𝘀 𝗳𝗼𝗿 𝗟𝗹𝗮𝗠𝗔𝟯 🦙: 𝗔 𝗚𝗮𝗺𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝗿? Join me today as I dive into this topic with Tom Yeh and Ravi Theja Desetty. A quick peek at the diagram will show you that model deployment has been a traditional bottleneck for data science teams, especially when managing multiple models. With the rise of Generative AI, a staggering 95% of users now access large language models (LLMs) via APIs, which simplifies the process by eliminating the need for deployment and re-training—MLOps might seem redundant, right? Not quite. While it's true that 95% of users consume models as-is, those looking to customize these models to reflect their unique data, customer insights, and brand voice still need to fine-tune. For example, if you're creating a chatbot, you'd want it to mirror the communication style of your human agents. Achieving this level of customization requires fine-tuning—a process where MLOps becomes crucial again. LLaMA3 offers the cutting-edge advantage of a state-of-the-art model with the added benefit of fine-tuning capabilities, bringing you the best of both worlds. However, successful fine-tuning hinges on solid MLOps practices, including specialized roles, processes, and technologies. Let's explore how you can leverage MLOps to maximize the impact of LLaMA3 in your projects. Check out the diagram and join the conversation! 🔗 Link to our live panel today: https://lnkd.in/dfjw634B #ai #genai #mlops

Two bits I agree strongly … AI Adoption is getting stuck in the periphery of enterprises. “The narrative surrounding AI often suggests an imminent, wholesale disruption of enterprise operations. However, the reality on the ground tells a different story. Most companies are finding success by applying AI to peripheral functions rather than completely overhauling their core offerings.” Agentic infrastructure is the future, but autonomous decision-making is a ways off. “These agents often use a lead LLM to orchestrate the process, with sub-agents handling specific tasks like web searches or payments. However, they’re far from the general-purpose, fully autonomous systems some envision.” #aiproductmanagement

Unlock AI's full potential! In this WSTA-Exclusive from Celestial Systems Inc., learn how to enhance customer & employee experiences while minimizing risk and driving growth. https://lnkd.in/gYXTbTsU

AI isn't just a tool—it's a game-changer. The focus isn't on automating isolated tasks anymore. It's about creating intelligent ecosystems that revolutionize entire workflows. Imagine AI agents that not only handle mundane tasks but also optimize and innovate the way we do business. This article sheds light on the untapped potential of AI agents in transforming our operations. As business managers and accountants, embracing this technology could be our competitive edge. Check out this insightful piece on leveraging AI agents as a secret weapon in the AI arms race: https://lnkd.in/gc2Spcid The future of business efficiency is here. Are you ready to evolve? Check this out: https://lnkd.in/gc2Spcid

I am seeing so many conversations with our clients and prospects on GenAI to solve complex challenges in operations. Give me a ping if you want to understand how Xceptor can help or see a demo where we integrate with GenAI to productionize use cases for operations quickly.

Anatomy of a #Copilot When it comes to #AI, it’s the system (not the model) that matters. There’s a lot of hype around foundational models, and much of that hype is well deserved. Foundational models are the technology that has opened this exciting new chapter in AI #innovation. But while they’re an important part of an AI-driven system, they’re just one part. By carefully orchestrating the interactions between the user, knowledge, skills, and foundational models, the copilot can become even more powerful than the sum of its parts. That’s how you can greatly enhance the work you do every day—so that when you imagine being able to step on the accelerator, you’ll achieve your desired outcomes. Let’s look under the hood to see how AI systems work—and in the process, hopefully inspire you to see new ways of applying AI to your own business. Let's explore how together!

Incoming AI Game Changer I recently tried out Cove AI, a new tool that takes the traditional chat-style AI model and enhances it by making it interactive, collaborative, and more visually appealing. What's unique about it? Instead of simple text blurbs like many AI tools, Cove AI organizes responses into clear, functional “cards.” Each card represents different aspects of the query, making it easier to understand and navigate complex topics like pricing strategies for accounting firms, best practices, and more. Key features I loved: - Visually organized results by function or topic - Ability to add images, PDFs, URLs, and ask contextual questions on that data - Collaborative features allowing multiple users to work together seamlessly Whether you’re brainstorming, developing strategies, or exploring new ideas, Cove AI opens up endless possibilities for better workflow and productivity. The more I use it, the more I feel it’s the first AI-built tool I’ve come across, not just software with an AI component. I walk through a quick 5-minute demo below, check it out!