Avinash Misra’s Post

I read that JPMorgan Chase is ensuring all new hires receive AI training — promising that such a move would help staff to “eliminate repetitive ‘no joy work’ and boost productivity and revenues.” It sounds like an excellent idea, although JPMorgan Chase isn’t the only large company doing this. In fact, most c-suite executives I talk to are either in the process of rolling out an AI initiative similar to this or are thinking of doing so in the near future.  The question to me is not whether to embrace AI - but based upon what insights? There’s a difference between encouraging team members to experiment with AI tools (we do that ourselves!) and rolling a particular platform out widely across the enterprise. For that, you need to have an understanding of what is happening today. Answering the question: what are the processes and practices that are actually being carried out by team members daily? (Not what you ‘think’ is happening). In other words, what is the ‘truth of work?’ That’s a problem we’re here to solve at Skan. And we also use AI to help us do it. By observing what people are doing, and using a digital twin of operations to make observations and test hypotheses, you are well on your way to making more informed decisions about where to go next. I fully embrace the idea of creating a culture of AI discovery and usage, as highlighted in this article, but let’s also consider the wider impact and potential if tools are rolled out based on insights and adopting process intelligence. The FT article is well worth a read, particularly hearing from contributors, including: Christian Rebernik, Marc Warner, Khariton Matveev, James Longster, Erik Brynjolfsson, Dev Nag and JP Morgan's Mary Callahan Erdoes. 🔗 https://lnkd.in/g69Enewb

In the near future, we’ll all work in Quality Assurance. Why? Because the increasing capabilities of AI, LLMs and automation will mean that humans will barely be needed for everyday tasks, at least in the way we understand work now. We are already seeing gen AI being used to code, for example. This will get increasingly more sophisticated - but we will still need humans to check and validate it, interpret the nuances, and ultimately take responsibility for it. In other words, our job will be one similar to a QA engineer’s today. It’s not just coders or engineers either. The same principle will apply to marketing content, legal work, real estate management, accounting, insurance claims handling - in fact, anything involving the processing of knowledge or information. I know people will be frightened by this prospect, but I believe it is an exciting and empowering notion. It will unleash capability and productivity which will dwarf what is currently achievable. The question is, how are you preparing your own business or career for this future?

https://lnkd.in/gqFGTuUJ Skan’s very own Christian Berg on AI , co pilots and digital business ops.

Global Capability Centers (GCCs) are playing an increasingly important role in enterprise transformations, moving beyond a mandate based around operational efficiencies and labor arbitrage, to become global value drivers.    That was the scene set for an illuminating conversation last week between EY’s Vijay Shankar and my colleague Vinay Mummigatti, hosted by Skan’s VP Marketing, Xuan Liao.    They discuss how AI is playing a key role and, in particular, how GCCs can unlock the power of Digital Twins of Operations and Process Intelligence to help define the next generation of competitive advantage.   The full webinar is available for download here >>> https://lnkd.in/giFG2eZS   Feel free to reach out to Vinay directly if you would like to discuss any elements of the fireside chat, or any of the Skan team if you are looking at Process Intelligence to address transformational challenges in your organization.

Excellent conversation between two veterans of the business transformation & process intelligence space! Skan’s very own Vinay Mummigatti and Gartner’s Marc Kerremans share insights on the impact of Generative AI on business processes. Watch the webinar replay now! #AIinBusiness #ProcessIntelligence

Imagine for a moment that your startup is an airplane flying over an ocean. You could be flying into a headwind and have no idea that you are actually moving backwards relative to the ground. Conversely, if you have a tailwind behind you, you may be able to cut hours off your journey given the right conditions and your trajectory. I am often reminded of this analogy when thinking about our own business.  Manish Garg and I founded Skan in September 2018 and even though it was just a few years ago, the world looked very different. Our insights into the problems that organizations faced around a lack of true visibility of their processes was evident, but we had various headwinds and tailwinds in the form of economic opportunities and desire to automate processes. We are pleased to have set the right course. Fast forward to 2024, we have solved many of these problems for customers - but we also are facing different headwinds and tailwinds. The trick as an entrepreneur is all about how to set your course and respond to the changing conditions. Our investment in ProcessGPT and partnership with customers means we are able to harness the AI tailwind, but weather conditions change and you need to always pay attention to what’s going on around you. 📸Image generated by Midjourney

Ask any successful entrepreneur about how their role evolves as the business grows, one aspect should stay consistent throughout their journey: the importance of storytelling. I was reminded of that truism reading this Wired interview with Nvidia CEO, Jensen Huang. Not only has he helped build Nvidia into one of the main companies powering the AI revolution, he understands the importance of a compelling story, and how to tell it. “Strategy setting is storytelling. Culture building is storytelling,” he says.  I feel precisely the same way. The interview is steeped in storytelling too, and it works so well because we are all characters in the story and have a vested interest in the resolution of the tale. As well as Jensen Huang's predictions around AI, I enjoyed his response to the proposition that you need to be “somewhat delusional” to be an entrepreneur. He responded: “That’s the advantage of ignorance. You don’t know how hard it’s going to be, you don’t know how much pain and suffering is involved. When I meet entrepreneurs these days, and they tell me how easy it’s going to be, I’m very supportive of them, and I don’t actually try to burst their bubble. But I know it in the back of my mind, ‘Oh, boy, this is not going to turn out anything like they think’.” These remarks reminded me of an article I saw via Douglas Kim, where famous YouTuber / engineer Mark Rober was addressing a group of MIT graduates about how to make it in their careers. His top tip for success was to embrace “naive optimism” - something that I’ve found all successful entrepreneurs have in common.  Read the full interview with Lauren Goode in Wired here https://lnkd.in/gRbkgAy4

If a doctor was using AI in their daily practice, would you trust the diagnosis more or less? Given the amount of unstructured processes and data - from medical records to genetic information - healthcare is one of the areas that will benefit most from AI. Last year, a survey found that 1 in 10 doctors already use ChatGPT to assist diagnosis (I wonder what the figure is today?) However, as many of us have already seen in our own personal use of ChatGPT, the results you get are not always substantiated. In fact, according to a preprint study looking at LLMs used to aid medical diagnosis, “30% of individual statements are unsupported and nearly half of its responses are not fully supported.” You can read more about this story on the Stanford Institute for Human-Centered Artificial Intelligence (HAI). It’s well worth a read, but with Skan healthcare customers already using AI, I have two further observations: 1️⃣ The opportunity for AI in healthcare goes way beyond medical diagnosis - in fact, it can be harnessed anywhere there is a process, from an insurance claim to medical research 2️⃣ Healthcare organizations need to develop their own LLMs, with their own data and privacy guardrails, security and anti bias baked in Healthcare provides a fascinating use-case for AI, so would appeal to my network to add their own perspectives. I have seen you have recently posted on this topic Ganesh N., Morgan Cheatham and Harvey Castro, so would welcome your view too. 🔗 https://lnkd.in/gbdCNuWH