In an interview with VentureBeat, Emilia David and I discussed the state of GenAI, LLMs, and one of my favorite current subtopics – AI agents. If you’re unfamiliar with AI agents, here’s a quick TLDR: AI agents are trained on your preferences to do whatever digital task you need. A simple email example of tasks include: scanning inboxes, categorizing emails, developing custom emails, and flagging urgent messages. Agents also interact across departments, facilitating communication and deal flow while flagging discrepancies more quickly than its human counterparts. The enterprise application potential and value-add are incredible and especially as agents become more autonomous. Despite the uncapped potential, there's a lot of trust, governance, and control standards that needs to be figured out, especially for cross-system integration. Only time will tell how this plays out (according to my AI Agent!). Check out the article for more on the future of GenAI, AI Agents, and their application potential in enterprise environments. [https://deloi.tt/3OlJfhw]
Jim Rowan’s Post
More Relevant Posts
-
GenieAI is full suite of AI tools spanning the Bigtincan platform designed to assist your GTM team members in understanding complex topics, addressing the 'blank page' problem, automating monotonous tasks, finding what they need faster, and knowing what they don't know. It can also help them understand what to do next based on what they have or haven't done. It’s enablement in its most effective form, created using Bigtincan’s unique data layer and understanding of the connections between people in customer-facing scenarios to make their lives easier. See how it works right here:
To view or add a comment, sign in
-
🚀 Arch and Arch-Function Models Featured on VentureBeat! We’re excited to announce that our innovative LLMs have been featured on VentureBeat! We’ve open-sourced Arch, an intelligent prompt gateway powered by specialized sub-billion LLMs for secure and efficient prompt processing. Additionally, we introduced Arch-Function, based on Qwen 2.5 (3B and 7B parameters), which enables seamless interactions with external tools for diverse digital tasks. These models excel at function calling critical to agentic workflows, achieving up to 12x throughput and 44x cost savings compared to GPT-4, GPT-4o and Claude 3.5 Sonnet! Discover how Arch and Arch-Function are revolutionizing the AI landscape in the full article: https://lnkd.in/edS6qB9g #GenerativeAI #LLMs #EnterpriseAI #Automation #Innovation --- Follow us at Katanemo for more GenAI updates!
To view or add a comment, sign in
-
The results are in! 1300+ industry professionals, from developers to business leaders, were surveyed on how they're using AI agents today. But the most interesting aspect was the evolving expectations and challenges organizations face as they bring AI agents into their workflows: - Managing multistep tasks: Agents are more capable of deeper reasoning and context management, allowing them to handle more complex tasks. - Automating repetitive tasks: AI agents continue to be viewed as essential for automating administrative tasks that can free up time for users to engage in more creative problem solving. - Task routing & collaboration: Better task routing ensures that the right agent handles the right problem at the right time — especially in multi-agent systems. Many wonder how to orchestrate tasks and collaborate across agent networks effectively. - Human-like reasoning: Unlike traditional LLMs, AI agents can trace back their decisions, including time-traveling, reviewing, and revising past decisions based on new information. - Barriers to understanding agent behavior: Several engineers wrote in about their difficulties in explaining the capabilities and behaviors of AI agents to other stakeholders in their companies. Other times, the LLM is still a blackbox. The additional burden of explainability is left with the engineering team. The insights gleaned from this survey underscore the dynamic landscape of AI agent adoption and the intricate challenges that organizations navigate as they leverage these technologies in their daily operations.
To view or add a comment, sign in
-
Agentic AI is the next natural step beyond chatbots and single-utility models. Atlassian is making some bold moves at #atlassianteam24. By combining all your enterprise data into a source of knowledge AND a set of possible actions to be taken, we’re moving closer to AI that can do more than just talk — it can literally work for you. More thoughts to follow later, but big kudos to Mike Cannon-Brookes on a great launch keynote.
To view or add a comment, sign in
-
Going live in 20 minutes! 🚀 Join Here™ (formerly OpenFin) and the 28Stone team for a live demo of Lithos CueAI. Discover how Lithos CueAI delivers unprecedented #insights, accuracy and efficiency for market makers and how CueAI leverages #GenAI for #automation. Tune in by registering 👇 https://lnkd.in/eTYkzHZn #CapitalMarkets #AI #CIO #Transformation #Interoperability #TradingWorkflows #Data
To view or add a comment, sign in
-
FlowiseAI (YC S23) makes building AI tools like chatbots and automating tasks super easy. With Qubinets, you can quickly set up and connect the underlying infrastructure. Here are 4 practical use cases you can build with Flowise while Qubinets helps you set up and manage the infrastructure seamlessly 👇 #letsbuild #AIagent #Flowise
To view or add a comment, sign in
-
If you want to learn more about the complex and changing world of AI? Subscribe to AI Agent Insider!
𝐁𝐢𝐠 𝐍𝐞𝐰𝐬! 𝐈’𝐦 𝐋𝐚𝐮𝐧𝐜𝐡𝐢𝐧𝐠 𝐒𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐀𝐰𝐞𝐬𝐨𝐦𝐞 𝐭𝐨𝐝𝐚𝐲…🚀 Hey everyone! First of all, May the 4th be with you. Next, I’m super excited to announce the launch of the newsletter I’ve been cooking up— 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐈𝐧𝐬𝐢𝐝𝐞𝐫. First edition will be sent out tonight at 7 PM EST, so subscribe now to become a founding reader! Get ready for the best learning resource roundup on AI-powered agents, assistants, and workflow automation. 👇 Here’s why I think you'll love it: - 𝐅𝐮𝐧 𝐌𝐞𝐞𝐭𝐬 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥: I translate the rapidly evolving and complex world of AI agents, assistants, and automation into engaging, easy-to-digest insights. Expect a healthy dose of humor, memes, and more goodness throughout. - 𝐒𝐭𝐚𝐲 𝐀𝐡𝐞𝐚𝐝 𝐨𝐟 𝐭𝐡𝐞 𝐓𝐫𝐞𝐧𝐝𝐬: For the more technical folks in my network, you can dive deep into the world of AI agentic workflows, custom LLMs, and related tools that are reshaping how we work. - 𝐍𝐞𝐱𝐭-𝐋𝐞𝐯𝐞𝐥 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞: Stay at the forefront with expert takes and practical tips on harnessing AI to streamline and supercharge your tasks. 🎉 Tap into the action and be part of our debut issue tonight: https://lnkd.in/gME-wiD2 Who’s ready to amp up their AI-powered workflow every week with me? 🤖🤘 #AI #NewsletterLaunch #DigitalAgents #Automation #WorkflowRevolution #SaturdayReads #Innovation
AI Agent Insider
aiagentinsider.com
To view or add a comment, sign in
-
Synesis one join Injective ecosystem for Major AI upgrade Synesis One, a leading data crowdsourcing platform, is joining forces with the injective ecosystem to provide a major AI upgrade for their dApps. This collaboration brings cutting-edge training datasets and a powerful crowdsourcing to Injective's applications, like Helix & Mito Finance. This integration will empower Injective's dApps with the tools they need to reach new heights. With $SNS already listed on the Helix spot market.
To view or add a comment, sign in
-
Do you face the following challenges while deploying Gen AI to your customers? - Hallucinations - Long deployment times and high infrastructure costs - Inconsistency in generating accurate responses - Lack of explainability Join our discussion with CogniSwitch Inc. on August 5th at 9 AM EST to learn how Graph RAG-based AI agents can help address these challenges and provide a more effective solution. https://lnkd.in/dMhmQ86B Vinit Agrawal Dilip Ittyera Vivek Khandelwal Febin John James
To view or add a comment, sign in
-
Watch the video for the full interview and to discover how Pure Storage is enabling customers to accelerate their adoption of AI with a data storage platform built with one fully integrated, consistent operating environment for all stages of the AI pipeline.
The Flash Storage-AI Connection, Explained
To view or add a comment, sign in