Merging Mission with Money: OpenAI to become For-Profit Company
OpenAI’s transition from a nonprofit to a for-profit entity reflects broader trends in the tech industry, where the quest for capital and profitability increasingly intersects with ethical considerations and social responsibilities. As OpenAI navigates the complexities of this transition, it must find a delicate balance between innovation and responsibility. OpenAI’s For-Profit Shift The decision to […]
Faster, Higher, Stronger
Part 2: How Wearables are Dominating Sports Training Several factors contribute to the continual improvement in athletic performance, and testing the limits of physical endurance. Wearable Technology is one field that has currently infiltrated the sports training domain even at the beginner’s level The future belongs to wearables The evolution of sports technology is […]
Why Success is Spelt with a Capital ‘C’
Part 1 In a volatile, uncertain, complex, and ambiguous (VUCA) world, traditional success metrics are rapidly losing relevance. Market share, revenue growth, and profitability remain important, but they no longer tell the whole story. To survive and thrive in this new landscape, leaders must embrace a new success paradigm rooted in four critical competencies: […]
Gap Between Expected AI Revenues & Infrastructure Investments Soars to US$600bn
The high AI investment costs, combined with slow tangible results, has led to growing impatience among investors. And one central reason why Big Tech’s AI investments have not paid off could be the sheer cost and complexity of the technology itself Exactly a year ago, industry analyst and technology expert David Cahn, known […]
The Murky Waters of Machine Intelligence
As AI continues to evolve, the black box problem remains a challenge. While explainable AI techniques offer a potential solution, they are still in the early stages of development and may not be sufficient for all applications. Organizations and regulators must work together to create frameworks that balance the need for innovation with the need […]
Harnessing AI for Smarter Portfolio Design
Large Language Models (LLMs) are revolutionizing portfolio design by analyzing financial markets with greater depth and speed than traditional methods. By synthesizing vast datasets, recognizing patterns, and making nuanced predictions, LLMs enable investors to better navigate market volatility and build more resilient, diversified portfolios. The financial world has long relied on a […]
Faster, Higher, Stronger Part 1: How Athletes Keep Improving Their Performance Every Olympics
While sporting records in the 20th century stood unbroken for years, or even decades, currently they keep tumbling in every athletic meet – big or small! Several interrelated factors contribute to the continual improvement in athletic performance, and testing the limits of physical endurance. Every year, we stare in wonder as athletes keep […]
California’s Bold AI Bill: Shaping the Future of Tech Regulation
The debate surrounding California’s SB-1047 highlights the broader challenges of regulating emerging technologies. Striking the right balance between innovation and safety is no easy task, and implications could be massive for tech firms – including Indian ones – that have business in California. California, a state known for its progressive policies and technological […]
Keeping Play Alive: How LEGO and Mattel Navigate the Digital Age
As children increasingly gravitate toward video games and mobile apps, the innovation strategies of these two iconic companies are redefining digital transformation – proving to be classic examples of how legacy enterprises have pivoted to stay relevant. In an era where screens dominate children’s attention, toy manufacturers like LEGO and Mattel are redefining […]
The Rise of KANs: Making AI More Understandable
A relatively underexplored concept known as Kolmogorov-Arnold Networks (KANs) is gaining attention as a promising solution to the problems of AI interpretability. Rethinking the architecture of neural networks, KANs offer a way to make AI systems more transparent without sacrificing performance. As AI models, particularly deep neural networks, grow more complex and capable, […]