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Industry 4.0

It is no surprise that the inception of the Industrial Revolution remains an epicenter for innovation and growth in the digital economy. Smart factories, advancements in supply chain management, and transformations of traditional manufacturing relationships – all are markers of the new face of industry in the digital age.

AI Elevate: AI Is Transformation

As artificial intelligence continues to reshape industries and business paradigms, the need for AI literacy among business leaders has never been more critical. To discuss AI literacy and many other timely topics on AI, the Digital Data Design (D^3) Institute at Harvard and the Harvard Business School (HBS) Club of the Gulf Cooperation Council (GCC) […]

AI Elevate: Opening Remarks

As artificial intelligence continues to reshape industries globally, the Digital Data Design (D^3) Institute at Harvard and the Harvard Business School (HBS) Club of the Gulf Cooperation Council (GCC) hosted AI Elevate: From Readiness to Exponential Growth on December 13, 2024, in Dubai, UAE. This one-day conference provided business leaders, researchers, and government officials with […]

AI Agents: The $20,000 Monthly Question for Your Business

Is OpenAI’s high-end research assistant worth the price tag? As we enter the era of enterprise AI agents, OpenAI is reportedly preparing to test the market with a bold new pricing strategy. According to recent reporting, the company is planning a tiered approach for autonomous AI “agents” that could significantly reshape knowledge work: For CEOs […]

Venture Capital’s Climate-Tech Catalyst: How Startups Are Shaping Incumbent Strategies

As the urgency to address climate change intensifies, the role of venture capital (VC) in driving climate technology innovation has come under scrutiny. A recent working paper, “Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups,” explores this dynamic. The authors, Shirley Lu, George Serafeim, and Simon Xu, of Harvard Business […]

AI Alignment: The Hidden Costs of Trustworthiness

As AI continues to evolve at a breakneck pace, the quest for aligning these systems with human values has become paramount. However, a recent study, “More RLHF, More Trust? On The Impact of Preference Alignment on Trustworthiness”, by Aaron J. Li, a master’s student at the Harvard John A. Paulson School of Engineering and Applied […]

Climate Solution Firms: Investment Strategy and Risk Management

As the global economy grapples with the pressing challenges of climate change, a new paradigm is emerging in the world of finance and investment. In their working paper, “Climate Solutions, Transition Risk, and Stock Returns,“ researchers Shirley Lu, Assistant Professor of Business Administration at Harvard Business School (HBS) and an affiliate of the HBS Digital […]

Entrepreneurial Advice: Insights from Bayesian Learning

In the fast-paced and competitive world of entrepreneurship, advice can be a powerful tool for success or a potential pitfall. Recent research by Susan Cohen, Associate Professor, Terry College of Business at the University of Georgia, and Rembrand Koning, Associate Professor of Business Administration at Harvard Business School and Principal Investigator in the Tech for […]

The Myth of Machine Unlearning: The Complexities of AI Data Removal

In an era where artificial intelligence (AI) increasingly shapes our digital landscape, the concept of “machine unlearning” (ML) has emerged as a potential solution to various challenges in AI governance. First authors A. Feder Cooper, Faculty Associate at The Berkman Klein Center for Internet & Society at Harvard University; Christopher A. Choquette-Choo, Research Scientist at […]

Advancing Privacy in Dynamic Data: Concurrent Composition in Continual Mechanisms

In an era where data is constantly evolving and privacy concerns are paramount, the work of Monika Henzinger, a Professor at the Institute of Science and Technology in Austria; Roodabeh Safavi, a PhD student at the Institute of Science and Technology in Austria; and Salil Vadhan, the Vicky Joseph Professor of Computer Science and Applied […]

Mastering Efficiency in AI Training: Insights from Critical Batch Size Research

As businesses increasingly adopt large-scale AI models, optimizing training efficiency is crucial. In “How Does Critical Batch Size Scale in Pre-training?”, Hanlin Zhang and a group of colleagues (see below for author details) explore critical batch size (CBS)—the threshold at which data parallelism, which distributes training data across multiple processors, stops yielding significant returns from […]

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