Dan Arnold’s Post

What is technological debt?💻 Amgad Muhammad, Data and AI Leader at NN discusses the critical but often looked challenges in AI transformation, also known as 'hidden debts'. This includes technological, governance and change management issues that could hinder the effective implementation and scaling of AI initiatives. Click the link below to listen to our first episode of season 2.👇 🎙 https://lnkd.in/eBSTAweb 🎙 Still need to catch up on season 1? Head over to our website to listen to each episode and watch short clips of all your favourite speakers so far. 🌐 https://bit.ly/3TjzbIx 🌐 #evoura #podcast #AI

What is technological debt?💻 Amgad Muhammad, Data and AI Leader at NN discusses the critical but often looked challenges in AI transformation, also known as 'hidden debts'. This includes technological, governance and change management issues that could hinder the effective implementation and scaling of AI initiatives. Click the link below to listen to our first episode of season 2.👇 🎙 https://lnkd.in/eNiqSEw9 🎙 Still need to catch up on season 1? Head over to our website to listen to each episode and watch short clips of all your favourite speakers so far. 🌐 https://bit.ly/3TjzbIx 🌐 #evoura #podcast #AI

The Power Grid of Tomorrow: The AI Divide In technology, there are a few subjects that evoke as much interest and apprehension as #artificialintelligence (#AI). The appeal surrounding AI often stems from its representation in media. And the perception of it being the domain of a select few tech giants. But despite its outward simplicity, there’s a depth of complexity that demands a closer look. In this article, we dive into a recent episode of the Artificial Intelligence After Work Podcast. This AI After Work (AIAW) Podcast episode emphasizes the importance of demystifying AI. Joining us in this episode are Kiryl Zhdanovich, Machine Learning and Data Engineer at Fever and Jonatan Raber, Founder and Chief Product Officer at Fever, alongside Henrik Göthberg. Together, they illuminate the concept of the “AI divide” and its significance. Read the whole article at https://hubs.li/Q02x2WCf0 #Hyperight #Hyperightread

This is a nice article based on our AI After Work (AIAW) Podcast show on AI and the future of our engergy grids. Where we had the fortune to discuss with maybe some of the most advanced start-ups in the world on this topic. The link to the full podcast episode at the end of the article. The key point of the episode was that inorder to get to where we need to be.. The incumbent DSOs and the TSO need to evolve to software and algorithms companies as well as managing the physical grids/assets... Most of the the innovation that is needed is hardcore Software and AI engineering in an extremely data intensive environment... The business case is simple for Sweden. The large DSOs (Network operators) read Vattenfall etc... And the Swedish TSO read Svenska kraftnät are charged by the government to manage peak demand. (Security of Supply). In simple terms. If we need an 8 lane highway on Christmas day, And then the rest of the year we only need two lanes.... The old way. Vattenfall builds 8 lanes. And charge the consumer. In reality this not a number of lanes problem...That is the unintelligent solution. This is more an optimasation, balancing and storage problem... If we only need to build three lanes and use data and AI to optimse the grids... The bill for Sweden is less than half as guestimate.. And having 8 lanes still does not focus on the balancing problem. And this 8-lane investment is SO big because all our grids NOW need to be optmised for two-way energy/ data flow...and not just one direction as the old grids are built for... Its a hot potato... Pink elephant all in one... The 8 lane solution is not economically feasible... Yet this is where the discussion is at. What was discussed on the pod is understood on super high level as an "opportuntiy with AI". But the real depth and the real urgency is not. So this problem is about data/AI/Software know how. Its about how the Government letter of assignment to TSOs and DSOs are set up and it is ultimately about old world logic being applied on new world problems. The solution. It starts with Erik Slottner and infra team working on AI educating and supporting the government in shaping the assignment in such a way that The TSO and the DSOs are steered to focus on opmisation next to security of supply as their highest concern. And then it moves into aligning market mechanisms with this new objective function... And then we have an arena to technically fix it... All data and technolog tech/AI pieces needed exist in its current form in 2024 to make this happen... But some one needs to start caring and investing and putting the right pressure. And steering in the right direction... This is the job of the Government in the end... They need to do their part setting up the goals and targets in the right way... And together with the actors secure funding. Decide the arena How this should be paid... If they do not do their part. No other actors can really move... Dairdux

The best podcast about the limits of AI and the most common problems in IT. The title is a bit harsh, but it is totally worth watching. Find out about the limits of AI and all the problems related to the hype. Don’t get me wrong. There are many use-cases AI will shine, but we need to talk about the fields it will suck. Bare in mind: We are in the heights if the Gartner Hype Cycle now. #AI #Limitations #Hype #Interview Emmanuel Maggiori

Welcome back to Leclerc podcast, where we explore the trends and developments that will shape our world in the coming years. In today's episode we are going to cover an exciting topic which is " The Artificial Intelligence (Ai) And Machine Learning (Ml) In Decision-Making ". Get ready to explore how these incredible technologies are revolutionizing industries, shaping our future, and influencing the choices we make every day. So Leclerc Consulting Group gang, grab your headphones and let's go!

Exciting news! IBM has just launched "AI in Action," a new series exploring generative AI and its real-world business applications. Join host Albert Lawrence and AI experts as they discuss the responsible ways to implement AI, its limitations, and the solutions it presents for business problems. Stay up-to-date with the latest AI advancements, strategies, and expert perspectives. Check out the first episode now! #AI #generativeAI #businesssolutions #expertperspectives Watch the first episode here: https://lnkd.in/efuAEDiv

What are your burning questions about artificial intelligence? I'm launching a new podcast and am headed to Washington, D.C. for the day to interview one of the world experts in AI. I have the chance to ask anything I want. What are your questions?

🎙️New Podcast Now Live:  In a recent episode of the North West Employers Podcast, hosted by Kevin Collier, experts Martin Neale and Dwayne Johnson delved deep into the transformative potential of artificial intelligence (AI) in local government operations. 🚀 Key Takeaways: - Understanding AI: The episode breaks down complex concepts into understandable segments covering generative AI, its evolution, and various forms.  - AI in Action: Real-world examples from a variety of ICS.AI customers, showcasing AI's impact on service delivery and efficiency.  - Getting Ready for AI: The discussion provides a roadmap for local governments to prepare for AI integration, including setting up ethical guidelines and teams.  - Human-Centric AI: Emphasising the importance of keeping human oversight in AI implementations to ensure safety and reliability. This episode is a must-listen for anyone interested in how AI can transform service delivery, streamline operations, and significantly improve productivity in the public sector.  🔗 Check out the full podcast - https://lnkd.in/epFi3Ba8 to explore how AI can be a game-changer for your local government operations.  #LocalGovernment #ArtificialIntelligence #PublicSectorInnovation #DigitalTransformation #PodcastHighlight #Podcast #NorthWestEmployers

At the Indigenous Research Cluster at UBC, we are organizing an Indigenous Data Sovereignty Symposium on July 5th at xʷc̓ic̓əsəm Garden. For those interested in digging into this fascinating and complex topic, I recommend listening to the provocative, funny, and smart episode "Indigenous AI" on the Necessary Tomorrows podcast. The Musqueam author Quelemia Sparrow explores the possibilities of humans and AI becoming kin. #IndigenousAI #Indigenousdatasovereignty https://lnkd.in/gp3cr9xT