Shalinder Verma’s Post

🚨 70%? Way too much! 🤔 Makes you think that too many people are jumping into AI without really understanding it or getting the right guidance. Success hinges on understanding the why behind the AI. What real business problem are we solving? How do we build it for the long haul? And how do we make sure it seamlessly integrates into our clients' existing operations? It's not just about the tech; it's about the strategy.

🚨 70% 𝗼𝗳 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗮𝗶𝗹 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝗣𝗼𝗖 🚨 Shocking, right? People think AI implementation is like traditional software: PoC → MVP → Scale. But most projects get stuck. Here’s our perspective: ➡️𝗠𝗶𝘀𝗮𝗹𝗶𝗴𝗻𝗲𝗱 𝗴𝗼𝗮𝗹𝘀: AI must solve real business problems. ➡️𝗡𝗼 𝘀𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗽𝗹𝗮𝗻: Build with growth in mind. ➡️𝗣𝗼𝗼𝗿 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: AI must fit existing workflows. ➡️𝗣𝗼𝗖 ≠ 𝗠𝗩𝗣: MVPs deliver value; PoCs just test ideas. 𝗣𝗿𝗼𝗼𝗳 𝗶𝘁 𝗪𝗼𝗿𝗸𝘀: A health tech company reduced patient readmission rates by 23.4% and improved treatment efficiency by 9% using AI-powered predictive analytics. 👉 Ready to scale with AI? Let’s talk about turning your product into a revenue powerhouse.* ---------- 💡 From MVP to production, we deliver scalable solutions tailored to your market and business strategy.

Leading technology vendors and forward-thinking enterprises are evolving their #RAG engines—enhanced with essential core capabilities—into comprehensive, four-layer platforms designed to meet a broad range of real-world business needs, especially AI agents. The ecosystem supporting RAG platforms is diverse, encompassing RAG platform builders, enablers, and service providers. Each plays a crucial role in the development and deployment of RAG technologies. Forrester offers a comprehensive analysis of these players, providing businesses with the knowledge to choose the right partners for their RAG journey.

Our Kumo.AI blog post on Hybrid GNNs is out. https://lnkd.in/gpzr8TiF We have seen success with our Hybrid GNNs across several marketplace problems. Hybrid GNNs are a novel innovation at Kumo.AI because they model both repeated and explorative user interactions within a single GNN framework. The GNN automatically infers whether a user tends to do repeat purchases or tends to be more exploratory (ie buying new unseen items) and learns a repetition scalar per user. What we love about this approach is that it takes away from the standard recommendation systems architecture where you have multiple candidate generators - some for new unseen items, some for repeat behavior and then have to combine them in a final multi-objective optimization framework. Such systems which are a combination of multiple systems are hard to maintain, re-train and operationalize. On the Kaggle H&M challenge where most winning teams usually have approaches that require large amounts of feature engineering and the final system is a complex ensemble of approaches needing months to build, the Kumo.AI approach which is a 3 line predictive query that runs a Hybrid GNN under the hood is top 1%. Thanks Matthias Fey and Weihua Hu for the algorithms and innovation.

To stay relevant in this rapidly changing world and offer the most value as a marketer, it's critical to stay curious about new technologies and tools. That's why I was excited to collaborate with Justin Aram to craft the narrative and brand design for VirtuousAI, a company dedicated to democratizing #AI with better precision for mid-sized enterprises to get ahead – not just big corporations. I'm proud to share that the site redesign for VirtuousAi.com is live. Check it out and give them a follow so you can stay curious about #genAI too. 👉 Do you need help launching your brand or want to refresh your narrative with a new look and messaging? Let's chat!

Reimagining Systems of Record: Great reads for Builders and Innovators. I’ve been reading a lot about building the 'new era' of systems of record and how AI is creating a window of opportunity to go after what many thought was off the table. My 2 cents: Very bullish on products that are building on top of current systems of records, owning the interaction/action layer, as it has the double benefit of 1) Expanding the TAM by turning previously labor-intensive tasks into software and 2) A real chance of displacing massive incumbents that have grown complacent on top of their moats. Here are some of the best resources I've found on the subject: 1️⃣ The Messy Inbox Problem: AI Apps & Wedge Strategies https://lnkd.in/d_4MxPYu An exploration of how AI can find opportunities within fragmented workflows, turning chaotic, overlooked areas (like the messy inbox) into structured systems of record and creating new value propositions. 2️⃣ AI Turns Capital Into Labor https://lnkd.in/d98wt3eZ Great take on how AI transforms software from static systems of record into dynamic “systems of action”, automating tasks that previously required human labor. 3️⃣ Control Points & Patterns in 2024 https://lnkd.in/dURCWbwv A deep dive into identifying emerging control points in enterprise software. The piece lays out key patterns that will shape how systems of record evolve in the next phase of enterprise transformation. If you’re into vertical SaaS, Tidemark’s content is gold! 4️⃣ Does AI Remove the Incumbent Data Gravity Advantage? https://lnkd.in/dGtPqy5Y Gen AI is challenging incumbents by breaking down data silos and creating unified, action-oriented systems of record. A must-read for founders eyeing opportunities to disrupt legacy players. 5️⃣ From Niche to Necessity: Building the Next Generation of Vertical SaaS https://lnkd.in/dqBuuNnQ Interesting strategies to inspire how to build systems of record by focusing on industry-specific needs and integrating deeply into workflows. 💡 Do you have a workflow or data problem that you think can be a wedge into a large opportunity? Let's talk!

🚀 How are Enterprises transforming their Telemetry/Observability with Observo AI 🚀 In today's fast-paced digital landscape, organizations need real-time insights to keep their systems healthy and efficient. At Observo AI, we're redefining observability with an AI-powered approach that gives teams the required edge. 🔍 What We Do: We streamline observability pipelines, filter out the noise, and provide actionable metrics that help teams make smarter decisions faster. No more drowning in data—our AI-driven platform extracts the signals that matter. 💡 Why It Matters: - Efficiency: Focus on what’s important with real-time metrics management. - Scalability: Handle data at any scale, from small applications to massive enterprise systems. - Cost Optimization: Reduce infrastructure overhead with intelligent filtering and aggregation of metrics. - Seamless Integrations: Plug into your existing stack effortlessly and watch our AI boost your observability capabilities. 🎯 The Result: Faster troubleshooting, enhanced performance, cost efficiency, and more time for your team to innovate. Join the growing list of companies who trust Observo AI to elevate their operations. Learn more 👉 www.observo.ai

Gartner prediction: By 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. At Archie Labs, we're already harnessing the power of agentic AI to create the software development factory of the future — where AI and human expertise converge to handle the entire software development lifecycle from ideation to production. In a world where businesses need customizable, highly adaptable software solutions, the path couldn't be clearer: build it right (and fast!) the first time — with us! Try Archie Free: www.archielabs.com #softwaredevelopment #AI #innovation

🔥 $500M in Fresh Funding, a $9B Valuation, and a Bold Move to Redefine Search 🔥 Perplexity AI has just taken a game-changing step in the enterprise AI space with its acquisition of Carbon, a startup specializing in retrieval-augmented generation (RAG) technology. With $500M raised in a funding round led by Institutional Venture Partners, Perplexity’s valuation has soared from $520M at the start of 2024 to $9B today. This is more than just a financial milestone—it’s a vote of confidence in Perplexity’s vision to transform how businesses and individuals retrieve and manage unstructured data. 𝐖𝐡𝐚𝐭 𝐃𝐨𝐞𝐬 𝐂𝐚𝐫𝐛𝐨𝐧 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐚𝐛𝐥𝐞? 💡 Integrated Search Across Platforms Carbon’s technology will empower Perplexity users to search seamlessly across tools like Google Drive, Slack, Notion, and SharePoint. 💡 Bridging Personal and Enterprise Data Imagine searching through both personal and organizational files in a single query, with contextual and actionable insights delivered instantly. 💡 Streamlined Workflows For enterprises, this is about more than just search—it’s about unlocking productivity by eliminating the silos of unstructured data. 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬? 1️⃣ Raising the Bar in AI Search Perplexity is no longer just a consumer-focused search tool. With Carbon, it’s becoming a leader in enterprise knowledge management, competing with the likes of OpenAI, Google and Glean. 2️⃣ A Vision for Personalized AI This acquisition aligns with Perplexity’s belief that your AI should work for you—whether at home, in the office, or on the go. 3️⃣ Enterprise Transformation By combining RAG technology with its existing capabilities, Perplexity is poised to redefine how businesses leverage internal data for better decision-making and efficiency. 𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭? 🔜 Enhanced Features in Early 2025 Search across multiple platforms simultaneously. Access more personalized, contextual insights for individual and enterprise use. 🚀 This isn’t just another acquisition. It’s a bold step toward shaping the future of enterprise search and AI-driven workflows. 💬 Do you see this as a turning point for enterprise AI? How will seamless data integration impact how we work? #AI #GenerativeAI #EnterpriseSearch #CarbonAcquisition #PerplexityAI #DigitalTransformation #KnowledgeManagement #Mittelstand #RAG EmpowerGPT

Autogen 0.4 takes it to the next level with new features and expanded capabilities. Here are the AI tools your dev team needs to supercharge your AI projects. The latest revolution in #AI makes creating and managing agentic workflows easier than ever. Dive in now: https://lnkd.in/ejvMh-YA What makes Saberin's Audition AI productivity platform so powerful, it is that we NEVER stop innovating. What makes it so affordable, especially compared to internal development, is that we keep up with these foundation technologies as they evolve, so your team can focus on building your own secret sauce AI solution. #AgenticAI #AuditionAI #AutoGen #AzureAI #Azure