The integration of artificial intelligence, such as generative AI, into daily workflows is helping workers streamline their approach to all sorts of tasks. “Generative AI and the Nature of Work” by Manuel Hoffman, postdoctoral fellow at Laboratory of Innovation Science at Harvard (LISH), Sam Boysel postdoctoral fellow at LISH, Frank Nagle, an Assistant Professor in […]
Open source software (OSS) underpins much of today’s digital infrastructure, and is prevalent in everything from operating systems to cloud services. Thus, understanding the real economic impact of OSS is essential for fostering sustainable development and guiding strategic investments, especially for policymakers. To highlight the significant, yet often invisible, contributions of OSS on the global […]
Michael Porter’s Five Forces framework has long been a cornerstone for analyzing competitive strategy. This model helps businesses map their competitive landscape and identify sources of defensible advantages. However, the advent of web3 technologies has fundamentally altered the nature of competition and collaboration in the digital realm, necessitating a reevaluation of how firms establish market […]
The internet’s dominance in modern economic and social activities makes understanding online behavior critical for businesses, policymakers, and researchers. However, traditional tools for measuring this behavior have significant limitations, especially for independent researchers without access to proprietary user data from technology companies. In response to this challenge, Webmunk, an open-source tool, offers a promising solution. […]
In a recent interview with the D^3 team, Debbie Botha, a global Digital, Data, and AI coach, as well as a D^3 industry council member and steering committee member of D^3’s upcoming conference, “AI Elevate: From Readiness to Exponential Growth”, shared insights on the rapidly evolving field of AI and data leadership. She discussed trends […]
Following the abrupt uptick of generative AI innovation in the past couple of years, organizations have ramped up research and development efforts to meaningfully explore the value of integrating generative AI into organizational systems, with a particular interest in achieving operational hyper-efficiency. This effort requires a deep understanding of the steps towards operationalizing generative AI—from development to adoption to deployment—involving benefits and risks that must be carefully considered to augment performance and financial gains.
The digital and sustainability paths, previously considered to be parallel, are now highly intersecting and reinforcing each other, pointing towards a symbiotic relationship between technological advancement and environmental values. Showcasing this relationship, digital technologies are expected to contribute more than one-fifth, and up to one-third, of the GHG emissions reduction required by the Paris Agreement by 2030, illustrating their importance to sustainability transformation. As such, it’s important to understand the main drivers of this shift because of the implications this shift has on the global business landscape, including the demand for businesses to prioritize integrating digital innovation with sustainable practices. With the eco-digital economy including benefits that extend well beyond improvement in core business activities, it’s imperative for leaders to have a vision for digital transformation at their organizations going forward with a focus on harnessing the opportunities created by the emerging eco-digital economy including digital strategy, cybersecurity, sustainability, and more.
The following insights are derived from a recent Insights from the Field event featuring Chad Sanderson, covering the topic of Data Contracts for achieving high-quality data for Artificial Intelligence (AI). Overview Chad began this session by demystifying some hyperbolic claims in the world of Artificial Intelligence (AI), including the idea that AI models could replace […]
This is a continuation of insights shared during a recent Assembly Talk featuring Sushant Tripathy; Research Scientist in Machine Learning at Google. Most practical examples of hybrid-AI in businesses have to do with organizations effectively deploying hybrid-AI to improve the efficiency of computing tasks. The following are a few examples of promising applications:
The following insights are derived from a recent Assembly Talk featuring Sushant Tripathy, Research Scientist in Machine Learning at Google. Hybrid AI has gained traction in recent years due to the increasing computational demands of advanced machine learning models. This article delves into the concept of hybrid AI, discussing its potential opportunities and limitations. The information […]
