![]() ![]() ![]() Step 1: Digitalise their operations leveraging augmented analytics built over the years. There are few steps that need to be addressed to digitize the knowledge, best practices and experiential expertise Under these circumstances, the underlying needs of such industries to Be Digital is high. ![]() And it is near impossible to replenish these skills. The challenge for the industry and for the world stems from the fact that their experiential knowledge is getting lost in the process. The underlying reality is that many of the skilled workers have been toiling at their jobs passionately for many years. It took many years of #training and #onboarding to get new skilled workforce. They were extremely complex and in today’s context, need superhuman efforts to keep them running. These systems were manually operated by humans. ![]() Some of these industries which took birth in the #industrialage, their #infrastructure is #aging by design. For industries like #oilandgas, #processmanufacturing and #utilitiesindustry, the emerging tech uptake has been relatively slow, and they have been late movers. So far, the #BFSI sectors are the early movers as far as tech adoption is concerned. Will #generativeai reverse the trends of #innovation and #emergingtech adoption. Will this be a #guarantee for achieving #netzero2050, address #climatechange issues to make our world a sustainable place- hopefully.Ĭan #chatgpt4 + create an #artificialbrain of #skilled manual Operators to sustain the aging of #Capitalintensiveindustries and #retiringworkforce If the answer is yes, then these sectors can see huge disruptions in the coming years. While we are seeing a trend of #democratization of #technology with all the current technology advancements, will this eventually lead to #democratization of #sector specific core #domain #skills too. 3D #digitaltwins leading to #virtual #factories in #metaverse can enable powerful use cases like core skill resource #virtualtraining, #simulation etc will graduate to the next level. Some of these will innovate #3D #content #generation. But beyond the headlines, a wave of startups have already entered the market and are rapidly expanding the use cases for generative AI, tackling everything from search engines to #motioncapture #animation. The tech news cycle has been dominated by applications like ChatGPT, a chatbot that tallied up 1M users in under a week following its late 2022 release. The buzz around generative AI that generates entirely new content, from lines of code to images to human-like speech - has reached a fever pitch. Actual billed revenue seems to be the driver now. We do see some trends with intense #costcutting and, in some cases, – a complete #strategy #overhaul with some of these B2C setups. Looks like the world is now moving beyond this pitch. You can happily cash out and then become a #vc or an #angle #investor □. This was valuation based – get as many million customers as quickly as you can, & the path to become a #unicorn is yours. Until recently, there were silent whispers that a B2C startup will get easily funded and can make it big. Placing the links to the references below. I had also written about Metaverse, and why Industrial Metaverse was and is a strong bet and will continue to evolve and become GA soon. Last week, I had written comparing the cycle of growth that Metaverse and Generative AI, and if they are similar. Are we learning from the #metaverse insights, and reorienting to address #real #industry4 #challenges, where the rewards are real. (Source: report published by Y Combinator and CB insights). Percentage of funding Y-Combinator has made in Generative AI #deals in the winter of 2023 in #engineering #product and #design is a whopping 36%, as per their investment thesis map. Industry sectors that have the potential to be most impacted by #generativeai. ![]()
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