Alphinity Investment Management’s Post

There were some fascinating points raised at our recent annual presentation about the advancements in AI technology and its potential to revolutionise various industries. In our latest podcast Samantha Dovey, group head of fund research, and Ben Byrom, portfolio manager, summarise some of the highlights and key takeaways regarding how AI can improve efficiency, reduce costs, and present investment opportunities. Listen to the full podcast here: https://lnkd.in/dfjqi9Bw

Alpha technology means nothing if surroundings get in the way - context is always king 💡 Have had many discussions with leaders who’ve had big, transformative analysis conducted to figure out how AI will disrupt them before the competition does it, transforming operating models and value propositions. However, they’ve all failed so far. Why?: because novel technology takes time to embed itself into our creativity and find its space in our processes. This means - it has to take current context into consideration and become an evolution from where we are today - we have to work with it on more atomic scales to see what exactly it can do and how it scales - changing the game requires understanding the game - and the trees, as the eagle found out “Game changer” label must always be applied retrospectively 👏 #ai #generativeai #technology #disruption 🤝 #Connect or #Follow for a blend of serious insights and lighthearted humor about everything IT and business 🎧 #Listen to The Only Constant podcast

On this episode of the Me, Myself, and AI podcast, Paul Romer, a Nobel Prize-winning economist, explores the real potential of #AI beyond the hype. He emphasizes the transformative role AI can play in society and the need for human involvement in technology. Tune in to hear Romer's thoughtful perspective on AI’s future.

Hype around LLMs and genAI is driving companies to adopt this new tech or get left behind. But so many applications are stuck in the demo/proof of concept stage as limitations like cost, risk, compliance, and unpredictability block these projects from being scaled to production. "at the core mathematical level, [AI] is such a general purpose technology...One of the challenges in building in AI...has really been, what are the applications that are getting traction and how do you build the right infrastructure to fuel those applications?" So many promising applications built on genAI foundations are destined for failure, but ones that stick around are the inflection point in a paradigm shift for their use case. Finding them is the key to not being left behind. (quote from Scale AI CEO Alexandr Wang via No Priors podcast)

"AI is a big buzzword now. So you see a lot of the whole industry is behind AI and the promise of advancement that AI can bring." — Xadean Ahmasi, President of BizTech Fusion LLC. Discover how BizTech Fusion stays ahead by fostering robust partnerships and integrating cutting-edge technologies to tailor solutions that truly resonate with client needs. Listen to the full episode to get a grasp of how traditional values in relationship-building and modern technological solutions converge to drive success in the IT industry. Tune in to The Grow IT Podcast for more episodes like this!

Tech leaders are increasingly turning to AI to optimize operations, but a critical question remains: build a custom solution from scratch or leverage pre-built options. 🎧 In our latest Star Shine limited podcast series on AI, our CTO Sergii Gorpynich and Head of Communications Cherry Ye unpack both sides of the Buy vs. Build dilemma 👉 https://lnkd.in/egFj8dR2 #AI #innovation #strategy #business #StarShine

On this podcast episode with Ted Shelton, Partner at Bain & Company, he and Markus discuss insights into how businesses can leverage automation and AI to improve processes. Key takeaways from this session: ✳️ AI and automation are interconnected ✳️ The real driver of AI-driven transformation is the competition ✳️ The winners and losers in AI will be decided in three domains: efficiency, experiences, and innovation ✳️ Generative AI will make companies more proactive with their customers ✳️ The process mindset is key in the AI era ✳️ ‘Dynamic and disposable code’ is the future 🎧 Learn more from the episode here: https://lnkd.in/eXPmHb6a

Check out this latest episode of our podcast Shine about the dilemma of building vs buying an AI solution 🤔 What's your take?

🎙 Crystal Ball Prediction #1 - AI will impact the Physical World. 🔮 In a recent episode of Bonnie D. Graham's podcast, "Technology Revolution: The Future of Now," I shared my first crystal ball prediction. See if you agree. Artificial Intelligence (AI) is entirely focused on creating digital assets, but in the future AI will revolutionize the physical world as we know it. Imagine a world where AI powered robots create devices or gadgets to make our jobs & lives easier and more efficient. Stay tuned for more predictions and insights on how AI will shape the physical world. 🚀 And don't forget to tune in to Bonnie D. Graham's "Technology Revolution: The Future of Now" podcast to catch my full interview and listen to the other the incredible panelists. 🎧✨ Xplore Strategic Solutions #AI #ArtificialIntelligence

can causal grounding significantly improve the ROI of gen ai initiatives? “you can not spend all this money and show no revenue potential” Chamath Palihapitiya “Perhaps the first AI mini bubble is bursting a bit” David Friedberg very interesting thoughts on a recent all in podcast: https://lnkd.in/g7BiSzUq while gen ai will be revolutionising a bunch of use cases around creativity & productivity, it’s becoming increasingly obvious that gen ai can’t solve some of the most strategic/high value AI use cases in the enterprise - helping business leaders make better decisions across customer experience, pricing, marketing, supply chain, manufacturing etc a causal ai approach is necessary in order to estimate the root causes/causal drivers of business KPIs and come up with actionable insights/interventions we put together a white paper on llms & causal ai synergies, covering causal grounding, agentic workflows for causal modelling & domain knowledge co pilot 👇