How to use AI effectively: A human challenge

𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗻𝗲𝗲𝗱 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝘀𝘁𝗼𝗿𝘆𝗹𝗶𝗻𝗲. 𝗜𝘁 𝗻𝗲𝗲𝗱𝘀 𝗮 𝘀𝗰𝗼𝗿𝗲𝗯𝗼𝗮𝗿𝗱. In a deeply informed piece, Rafsan B., Founder & CEO of OrionQ, breaks down why AI maturity won’t be defined by who builds the flashiest demo, but by who can repeatedly prove outcomes under real business pressure. He shares learnings from his Fortune 500 execution and the founding of OrionQ, making the case that frameworks, accountability & measurable value will decide who actually wins the next era of AI. 🔗 Read the full article: https://lnkd.in/dJpzgA6y #AI #EnterpriseAI #EnterpriseTech #AIInnovation #TechLeader #TechIntelPro

I am currently gathering articles and research for an AI presentation, and this is a great summary of the many of the datapoints I am looking at. Additionally, the mindset about handling the risks of implementation is spot on and not discussed enough in the industry.

Planview has unveiled its new AI strategy with the launch of Anvi, an artificial intelligence framework designed to streamline workflows and enhance productivity across large-scale projects. Built on Planview’s real-time data fabric and work graph, Anvi unifies information from more than 60 applications to identify dependencies, resource constraints, and bottlenecks before they disrupt progress. Learn more about the launch and how Planview’s Anvi framework is redefining enterprise productivity and setting new standards for scalable, secure AI adoption: https://lnkd.in/eFbNh77H #AI #Productivity

Artificial Intelligence has fast been changing the workflow of many companies, but sometimes it's not the easiest thing to start using. This #McKinsey article discusses the major takeaways from people using agentic AI every day. https://lnkd.in/gPuu3D7U #AI #agenticAI #workflow #software

Everyone's using AI now. Most aren't succeeding with it. That gap isn't the model's fault. It's the workflow, the data pipeline, the integration mess. We've watched pilots fail repeatedly because the environment sabotages the algorithm first. And 71% of your workers are already using unapproved tools because your sanctioned path is too slow. The companies actually succeeding think differently. They start with the human workflow, build the environment first, and embed guardrails from day one. We've seen it drive 30% reduction in manual work and real throughput gains.If your AI pilots are stalling, this might explain why. Read the full breakdown. https://lnkd.in/g4NscNje #AI #Enterprise

🧠 AI Slop: What It Is, How to Avoid It, and How to Call It Out Constructively We’re in an age of abundance — more models, more content, more automation. But when we chase quantity over clarity, we end up with AI slop: work that looks impressive but lacks intent. AI isn’t here to replace thinking. It’s here to amplify judgment. As Tony Stark told Peter Parker: “If you’re nothing without the suit, then you don’t deserve it.” The same (somewhat) applies to AI. If you don’t understand the problem, the prompt won’t save you. Use AI to refine, not flood. Because the next phase of AI adoption isn’t about using it more — it’s about using it wisely. #AILeadership #AgenticAI #AWS #SalesEnablement #EnterpriseAI #AIAdoption #GenerativeAI #ResponsibleAI #FutureOfSelling #InnovationCulture

AI isn’t just a cost to manage—it’s increasingly a valuation multiplier. This article highlights how private companies using proprietary AI assets can command higher multiples. https://lnkd.in/gfaZafqv

🚀 Your LangGraph Agentic AI is working hard — but not smart enough. I just published a new framework on how to make LangGraph-based AI systems 60% faster, smarter, and more efficient — with real, practical steps. 👉 Read the full guide on Medium: Optimising LangGraph Agentic AI: A Practical Framework for Faster, Smarter Systems

🚀 Another step in the direction of making AI more accessible in Quickbase whilst keeping it safe and secure. 🚀 With AI Actions in Pipelines, you can enhance your existing workflows or build new ones that seemed impossible till now. Pass any information (including files) to the AI, give it some instructions and use its response in any way you desire. Again, great work from the team behind it to make it possible. Special thanks to Pavel Grigorov and Vasil Chopev. Read more about it here - https://lnkd.in/dWuua_Fe

We're not doing AI for AI's sake. We're doing it because smart people shouldn't spend their days on bullshit. That's it. That's the whole strategy. If you can automate the soul-crushing parts of your job, why wouldn't you? The tools exist. We just needed to show people they could actually use them. So we went heavy on enablement. Accidentally turned myself into a part time L&E person (hope your'e happy Elazar Maor). Because what's the point of having these tools if people don't know they can actually use them? What we actually did: We ran a Custom GPTs & Google Gems workshop. Pulled in Ops, GTM, and BA. Asked them to show us the one task that makes them want to throw their laptop out a window. Then we showed them how to build a custom GPT or Google Gem to kill it. The skepticism lasted about 15 minutes. Once people realized they could automate their own misery with basically zero coding, the creativity started. Nobody cared about "the future of AI." They cared about getting 45 minutes of their week back. Next level: we brought in Shay Shitrit and Amitay Boneh to run a deep dive on N8N for Ops, BA, and our AI development team. This is the advanced class , automating complex, cross-system workflows that we genuinely thought were impossible six months ago. The vibe in that room was something else. People realizing they have actual superpowers now. The real lesson? Stop waiting for the perfect tool or the perfect moment. New AI stuff drops every day. You'll never feel "ready." What matters is understanding what's possible. Once you see it, you'll figure out how to build it. Our people are too smart to waste time on copy/paste work. So we're giving them the tools to stop drowning and start building. Huge shoutout to Gilad Wilk for making all of this possible and backing this investment in our people. Amit Kochman, Hadar Shiri, Denitsa Toncheva, Dimitar Danev, Rangel Mihaylov, Noga Feurstein, Raz Ezra, Eran Ciobotariu, Tom S., Daniel Nitsan, Sharon Gil, Martin Todorov, Michal Ashkenazi, Bipan Sarker, Michael Sutton, Dor David Cohen, Oz Tsahi, Liran Greenboim, Avihai Benbenisti, Tsvetelina Botcheva, Diana Lai, Yuval Bresler, Barney Guyatt, Sid Steinberg. Anna Alaverdian, Kevin Kapapiro, Mitchell White, Rosen Balkandzhiev, Claudio Vargas, Kris Whelan, Regan Bolotin