The Fast Future Blur Monthly | March 1, 2025
The Fast Future Executive
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Executive Networks Partners with The Fast Future Executive to Revolutionize HR Leadership Development
Executive Networks, trusted by Fortune 1000 HR executives worldwide for high-impact peer learning solutions, announces a strategic partnership with The Fast Future Executive, a global consortium of multidisciplinary thought leaders.
?This collaboration enhances HRNXT, Executive Networks' technology-powered platform that empowers HR leaders through peer connections and skills development.
?"Today's HR leaders must be multidisciplinary and ambidextrous to thrive in the future landscape," says Michael Dulworth , CEO of Executive Networks. "Our partnership with The Fast Future Executive equips our members with this essential thinking."
HRNXT members will now access world-class, future-focused resources including:
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May 22nd, 2025 | Los Angeles
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the latest from OUR FACULTY
Marc Andreessen calls DeepSeek AI’s Sputnik moment.
Yes, it did catch the US unprepared but that’s where the ‘space race’ analogy ends.
Today's AI race is not merely an 'arms race' nor is DeepSeek easily explained away as just a Sputnik moment.
?This race is playing out against the larger backdrop of more than a decade of technology infrastructure export by the largest economies around the world. -whether it is India's export of digital public infrastructure, cloud export by the US BigTech, or China's Digital Silk Road working alongside its Belt and Road project.
?This combination of tech infrastructure exports combined with leverage through complementary AI capabilities creates a new format of globalization - standards-based globalization - something that most people don’t yet fully understand.
A few days ago, a keynote speaker and futurist shared a reel put together by one of his speaking agencies, advertising their current slate of AI speakers. Pretty standard fare, but as I watched, I noticed that there was only one woman in the entire video. As sad as this is, it doesn't come as a complete surprise -- while the numbers vary, a wide range of reporting puts the numbers of women using AI on a regular basis far behind men. According to the Economist, women use ChatGPT between 16 and 20 percentage points less than their male peers, even when they are employed in the same jobs or read the same subject.
This is a huge issue for many reasons, including the fact that AI will touch basically every career to some extent in the next few years and that women can uniquely benefit from adopting AI. Over the course of the next several issues, I'll dive deep into why women should be using AI more, and what AI products and services can and should be built to support women.
Building a skills-powered organization: Turning Insights into Solutions | By Ravin Jesuthasan, CFA, FRSA
Welcome to the era of skills-powered organizations, where a company's success hinges on its ability to swiftly develop and deploy skills to work. While forward-thinking employers are making significant strides toward achieving skills-powered excellence by adopting a skills-powered approach in their talent strategy, there is still more to do.? Join this panel of global thought leaders and experts as they share how to turn insights from our 2024/2025 Skills Snapshot Survey report into actionable solutions for your organization. Register now to learn how implementing a skills-powered talent strategy can enhance innovation and productivity while fostering a culture of continuous learning, adaptability and agility.
Customer-Centricity, Rich Messaging, Digital Banking Scorecards & Crypto Crisis Management,... | By Efi Pylarinou
Another intense week with the spotlight on Customer-Centricity, Rich messaging, in-depth digital banking scorecards, extreme crypto hacks, major tech advancements, and more.?
Is AI the Windex of Fintech? Lessons in Customer-Centric Scaling Remember Gus from "My Big Fat Greek Wedding" and his unwavering faith that Windex could cure anything?
Today's fintech world has embraced AI with similar enthusiasm—a magical solution for all operational challenges.
But as recent industry pivots from "AI can do all jobs" to "humans are invaluable," show, reality is more complex. The collections process, for example, tells the real story: a careful balance of technology and human touch yields significantly lower default rates and better customer retention.
In today's rapidly changing world, organizations must continuously transform to survive and thrive. The shift from a VUCA (Volatile, Uncertain, Complex, Ambiguous) to a BANI (Brittle, Anxious, Nonlinear, Incomprehensible) world requires businesses to rethink how they drive change. Key transformation drivers include AI, digitization, demographic shifts, global markets, and sustainability. A successful transformation framework involves four key dimensions.
?Ultimately, transformation succeeds through human-centered approaches, stakeholder alignment, and adaptive leadership.
Companies spend disproportionate amounts of time on fragmented knowledge (both formal and informal) and look at points to capture this rather than focus on networks that use and multiply it (internal and external).
?Moving intelligence is the competitive advantage for companies in a digital world. Now as AI commoditizes knowledge, this becomes critical to the success of any company. Moving or transplanting an idea is good but there is a nuanced difference when I explain it; moving intelligence is about moving the learnings from applying an idea across different contexts fast enough.
The KFF analysis examines denial rates as a percentage of total claims. What if we looked at denial rates as a percentage of total $$ charges? I'd bet the denial percentage would be MUCH higher – it's unlikely that plans are denying many low-cost items (e.g.. a CBC) and are more focused on denying high-cost procedures, imaging studies, hospital stays, medications, etc. Should this limited data set be projected as evidence of broader health plan denial rates? I see no reason why not. At the very least, this data shifts the burden of proof onto plans to explain any differences in overall denial rates.
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