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AI in Business: Are Leaders Seeing the Full Picture

AI in Business: Are Leaders Seeing the Full Picture

AI is transforming ๐—ฐ๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ๐˜€, ๐—ผ๐—ฝ๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป-๐—บ๐—ฎ๐—ธ๐—ถ๐—ป๐—ดโ€”but are we thinking about its full potential holistically?

I’ve been mapping out AIโ€™s capabilities across front-end (customer-facing) and back-end (operations & intelligence) use cases. Itโ€™s not meant to be exhaustiveโ€”but rather a starting point to spark discussion among senior business leaders about AIโ€™s role in driving value.

From GPT-powered conversational agents to cybersecurity automation, from personalized recommendations to AI-driven forecasting, this framework lays out where AI is making an impact todayโ€”and where opportunities might still be untapped.

๐Ÿ“Œ ๐—œ’๐—ฑ ๐—น๐—ผ๐˜ƒ๐—ฒ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ถ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐˜€!
โ€ข Am I missing key categories or use cases?
โ€ข How are you leveraging AI in ways that arenโ€™t widely discussed yet?

This is a ๐˜„๐—ผ๐—ฟ๐—ธ ๐—ถ๐—ป ๐—ฝ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฒ๐˜€๐˜€, and your input will help refine a more comprehensive view of AIโ€™s evolving role in business.

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#AIย #ArtificialIntelligenceย #BusinessStrategyย #Leadershipย #DigitalTransformationย #AIUseCasesย ย #Innovation

Agentic AI

Agentic AI

๐—ง๐—ต๐—ฒ ๐—ณ๐—ถ๐—ฟ๐˜€๐˜ ๐—ฟ๐—ถ๐—ฝ๐—ฝ๐—น๐—ฒ๐˜€ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—ฎ๐—ฟ๐—ฒ ๐—ฏ๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐—ฟ๐—ฒ๐—ฎ๐—ฐ๐—ต ๐˜€๐—ต๐—ผ๐—ฟ๐—ฒ, bringing transformative changes to how we interact online. There are impressive examples of AI-powered assistants helping job seekers craft resumes and fill applications,ย to intelligent travel planners curating personalized itineraries via natural voice interaction. Youโ€™d be forgiven to think youโ€™re already experiencing these capabilities with the latest LLMs, but this next evolution of AI is a significant leap forward of the technology. These autonomous agents can analyze data, set goals, and take action to achieve them.

Beneath the surface, these AI agents will catalyze a seismic shift in how businesses operate. We’re entering the “agentic era” of digital connectivity. This new paradigm is not just about enhancing user interfaces; it has major implications on backend operations, data integration, analytics, customer service, privacy considerations, and much more. It is likely to be a messy landscape behind the scenes as established SAAS platforms seek to maintain their value with added AI features, while business leaders seek to break down data silos for greater insights by implementing Agents that can work across those platforms.

For CPOs, CTOs, and startup founders, this isn’t just a technological shiftโ€”it’s a strategic revolution. Agentic AI will:
โœ“ Break down data silos
โœ“ Optimize operational workflows
โœ“ Provide unprecedented analytical insights
โœ“ Revolutionize customer experiences

As professionals, we must ask ourselves: How will these AI agents redefine our roles? What new skills will we need to thrive in this AI-augmented landscape? And most importantly, how can we harness this technology to create more value for our organizations and customers?

The future is here, and it’s powered by AI. Are you ready to ride this wave?

GenerativeAIย FutureOfWorkย ย DigitalTransformation

๐—œ๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฒ๐—ฎ๐—ฑ? ๐— ๐˜† ๐—ฅ๐—ฒ๐—ฐ๐—ฒ๐—ป๐˜ ๐—”๐—œ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—บ๐—ฒ๐—ป๐˜ ๐—ฆ๐—ฎ๐˜†๐˜€ ๐— ๐—ฎ๐˜†๐—ฏ๐—ฒ.

๐—œ๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฒ๐—ฎ๐—ฑ? ๐— ๐˜† ๐—ฅ๐—ฒ๐—ฐ๐—ฒ๐—ป๐˜ ๐—”๐—œ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—บ๐—ฒ๐—ป๐˜ ๐—ฆ๐—ฎ๐˜†๐˜€ ๐— ๐—ฎ๐˜†๐—ฏ๐—ฒ.

Over the past few days, I’ve been working on a side project that left me questioning the very core of prompt engineering.

A friend pitched an idea for a game: players need to find food-related anagrams within a recipe title. Heโ€™d need hundreds of recipes and their associated anagrams. Seemed like a perfect use case for AI, right? My goal was to generate a few hundred recipe titles with their corresponding anagrams. I tried using increasingly complex, multi-step prompts, which brought me to the limitations of my prompt engineering skills. The results were disappointing, full of inaccuracies and undesirable results.

Out of frustration, I took a different approach. I asked the LLM (Large Language Model) itself for the prompts necessary to produce the results I wanted. The LLM provided an 8-step prompt sequence which showed me a few steps I had missed. Out of curiosity, I responded, “OK, do those steps,” and the results were astounding. Within seconds, I had 100 accurate recipe titles with their food-related anagrams.

This experience leads me to ponder: Is the skill of prompt engineering dead? If an AI can provide the optimal prompts itself, why would we need to invest the time to become good prompt engineers? I realize that this is provocational. Obviously I had to employ an intermediate level of prompt engineering to receive the correct steps, but itโ€™s clear that the ability to formulate good questions remains an essential skill no matter if we are working with people or AI.

As we stand on the frontier of AI, it’s essential to continuously question and redefine our approaches. This experiment has shown me that sometimes, the best results coming from asking a simple question.

AI ย Innovation ย ProductLeadership ย PromptEngineering ย FutureOfAI

AI Agents as the Face of the Brand

AI Agents as the Face of the Brand

Today, Scott Belsky‘s latest insights in the Implications newsletter resonated deeply with me. He discusses a future of brands increasingly deploying AI agents as the primary interface, potentially leading to a landscape of disparate self-serving experiences, each thirsty for your data. This raises an important question about the emergence of platform-level agents, personalized to negotiate on behalf of individuals based on their unique data and preferences.

Several years ago at Spring Studio, we explored a similar concept for the banking sector, envisioning a future where a chatbot evolves into an AI-enabled โ€˜companionโ€™. Dubbed the โ€˜self-driving bank accountโ€™, this tool could autonomously manage funds to prevent overdrafts, optimize bill payments, and even advise on optimal timing for major purchases.

This evolution in digital interfaces could profoundly impact consumers, brands, and developers. As we navigate this shift, itโ€™s crucial to consider how such innovations could redefine the customer journey, focusing on privacy, trust, loyalty, transparency, and interoperability.

What do you think the future holds for customer-brand interactions in an AI-mediated landscape?

https://lnkd.in/g9-S-TUJ
AIBranding CustomerExperience ย DigitalBanking ย FutureOfAI ย BrandInnovation ย TechTrends ย AICompanions