Nambi Sankaran’s Post

AI is not a magic wand that instantly solves problems. It requires something deeper, often overlooked: context! Here's why context matters more than ever in AI applications: 𝗗𝗮𝘁𝗮 𝗦𝗼𝘂𝗿𝗰𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆: → Where does your data come from? → Is it credible? 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲 𝘁𝗼 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: → Is the data applicable to your specific challenge? → Irrelevant data can lead you astray. 𝗕𝗶𝗮𝘀 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀: → Every dataset has biases. → Context helps identify and mitigate them. 𝗧𝗿𝘂𝘀𝘁 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴: → Accurate context builds trust in AI's insights. → Stakeholders rely on sound decisions. 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗸𝗶𝗻𝗴: → Context ensures AI delivers insights that are actionable. → It turns data into impactful strategies. In the field of competitive intelligence for example, context isn't just a factor; it's the foundation. At Gopf – The AI Platform for Competitive Intelligence, we understand that. Our platform not only scrapes data and enriches it, it also ensures that the output aligns with your strategic needs. Bridging the gap between humans and machines, providing insights that are timely and relevant. So, next time you engage with AI, ask yourself: Is the context of this data aligned with my objectives? Look at the picture of a «tiger» spotted in the city. Remember, context isn't an optional extra, it's essential for making informed, strategic decisions. I'd love to hear from my friends in the AI space how they ensure context in their AI applications is set correctly!

AI is making an impact, but doesn't have to stress your organization out. We talk about responsible use of AI and with a plan, the appropriate guardrails, and training, it is a core driver to achieve a company's ability to impact their industry positively!!! Diane Gutiw's article is a great article you should read!

As AI becomes more embedded in our everyday business decisions, it’s natural for leaders to feel a bit uncertain. But instead of fear, we can choose to see this shift as an opportunity for growth and innovation. This article beautifully reminds us to lead with both courage and clarity, embracing the future while staying grounded in our values. #AIFuture #LeadershipWithHeart #Innovation #EmbraceChange

Boost Your AI's Decisions: Find the Information That Truly Matters Imagine your AI as a research assistant. Traditional methods tell it to find any article related to your topic, often bringing back a pile of irrelevant info. Introducing MetRag: Your AI's Research Revolution MetRag refines your AI's research strategy: Quality over Quantity: It prioritizes information usefulness, not just similarity. Key Points, Not Mountains of Papers: MetRag summarizes the most important details, saving you time. The Perfect Blend: It combines these strategies to deliver the best possible answer. Benefits for Your Business Sharper Decisions: MetRag filters out noise, giving your AI clearer insights for better choices. Time and Money Saved: Less need for manual review of AI outputs means less wasted time and resources. A Step Ahead of the Competition: An AI that understands information relevance gives you a strategic advantage. MetRag's multi-layered approach makes AI-powered knowledge retrieval smarter, more efficient, and perfectly aligned with the ever-changing needs of modern businesses. 👉 paper: https://lnkd.in/dXRKUA76

"AI can not only improve short-term productivity of organizations but can also ... increase the organization’s collective intelligence." https://lnkd.in/edDzaGFV At first glance, this article looks like it will tick all my boxes: 👍 AI for Collective Intelligence? Yes please! After all, we have billions of *actually* intelligent people around the world, we just need help organising them 👍 AI for automation is a really bad idea? Absolutely! Let's avoid "downsides such short-term thinking, loss of flexibility due to lock-in, and loss of human intuition and skill", something I wrote about last month(1) But... while I like Christoph Riedl's exploration of how AI can boost the three aspects of collective intelligence, there are contradictions - eg: * improving Collective attention involves AI guiding "how groups allocate and align their focus on key tasks and priorities". Yet later the fact that "AI can significantly affect what teams pay attention to" is presented as a risk: "joined by an AI voice assistant, [teams] started to align their attention [to the assistant's] ... even adopted the [assistant's] specific terminology ... which further shaped where groups directed their attention". * AI should be used to "supercharge experimentation", yet "it also caused a decrease in intellectual diversity ... Through a form of algorithmic monoculture, receiving feedback from the same, centralized AI system, individuals tended to specialize in similar ways". (Please Lord let me be the first person to make #algorithmicmonoculture a hashtag ... Damn, 3rd place!) * one way to supercharge experimentation is to "create multiple first drafts from which the best one is selected for further development". Yet the author also argues that using AI to automate writing first drafts "replaces human intuition, expertise, experience, and reasoning... the downsides of automation [are] simply pushed down to a lower level." I'd also object to the multiple first draft strategy using the "blurry jpeg" argument (2). But don't get me wrong - by being nuanced about the risks and benefits of #AI, the article is better than 95% of the content I see, which generally falls into one of two simplistic "AI is terrible / great" camps. We need to get beyond that. Yet, as these contradictions show, the terrible seems intimately entangled with the great. Untangling this will be interesting work.

Time for Businesses to Take Back Ownership - Part 5 - The Perils of Disconnected Ownership: AI and the Need for Integrated Business Insight As businesses increasingly look to integrate leading-edge technologies like neural networks and other forms of artificial intelligence (AI), the foundational understanding of their own systems, processes, and data becomes crucial. Without a deep and nuanced grasp of these elements, leveraging AI effectively is not just challenging—it's fraught with uncertainty. AI technologies are potent tools that can drive innovation and efficiency across a multitude of business domains—from customer service and sales forecasting to risk management and product development. However, for AI to deliver on these promises, it must be trained on robust, relevant datasets that reflect the unique aspects and operational realities of the business it's meant to enhance. The disconnect that arises when businesses do not maintain ownership and intimate knowledge of their systems and data is a significant barrier. AI models are only as good as the data they are trained on. If a business has ceded control of its systems and data management to IT without maintaining a collaborative and integrated approach, it risks compiling datasets that are either incomplete or not fully aligned with the business’s strategic goals. This misalignment can lead to AI outputs that are misleading or irrelevant, thus wasting resources and potentially leading to strategic missteps. Moreover, without proper data governance, the quality and integrity of the data used for training AI could be compromised. Poor data quality directly impacts the reliability and accuracy of AI predictions and decisions, which could have serious repercussions for decision-making processes. For businesses to truly benefit from AI and other advanced analytical tools, there needs to be a reestablishment of control over business processes and data. Business leaders must work closely with IT to ensure that data is not only secure and well-managed but also strategically aligned with the business's needs. This collaborative approach will facilitate the development of AI models that are both powerful and tailored to specific business objectives, ensuring that the technology adds real value. In essence, as businesses venture into the future with AI, the clarity and ownership of their underlying systems and data will not merely be a matter of operational necessity but a strategic imperative. The successful integration of AI into business strategies hinges on this fundamental alignment, ensuring that these advanced technologies drive meaningful outcomes #AI #technology #data

👨💻 Take a look into the future of technology with "Harnessing AI for Business Growth and Innovation," a compelling article by our CTO, Maksim Belov. Learn how AI is not just a buzzword but a transformative tool that can redefine how we approach business challenges and opportunities. 📊    🔗 https://lnkd.in/dHVRyW4v #ArtificialIntelligence #Innovation #BusinessStrategy #CoherentSolutions

Worth a read on grounding AI implementation in the actual needs of the work.

AI adoption doesn’t have to be complex. Let’s make AI your business's competitive advantage. Great article: https://lnkd.in/eJKqu2P6 #AIConsulting #DigitalTransformation #DataClinique #AIAdoption #Land8Consulting

Don’t Jump Into AI Blindly—Get Your Organization AI Ready First! AI promises incredible opportunities, but jumping straight into implementation without preparation is a recipe for failure. Building the right foundation is essential. 💡 Why It Matters: Clean data, secure frameworks, and the right tools are non-negotiable for AI success. Without them, even the most advanced AI solutions will fall short. ✨ Start Your AI Journey Today: Swipe through my carousel to assess your AI readiness and ensure your organization is set up for success. Don’t just adopt AI—adopt it the right way. 👇 Share your score in the comments and tell me about your biggest challenges! ______________________________________________________ 💼 I’m an AI-Powered CFO I use AI in my work and help companies and individuals fully leverage the power of AI to transform their processes and workflows. 📩 Subscribe to My Newsletter. https://lnkd.in/g7eJ-jgB 🤝 Book a Free Consultation to Discuss a Specific Project or Challenge. https://lnkd.in/g2fzcUgv 🔗 Follow for more AI tips and strategies.