Managing in the Digital Economy

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. 

Understanding AI product management has become more crucial than ever, particularly in light of recent advancements in the spaces of AI and Machine Learning technologies punctuated by the proliferation of generative AI models. Considering the speed with which AI is becoming pervasive, having a strong grasp of AI concepts and frameworks is critical especially for aspiring AI product managers without significant technical (e.g., coding) background. This opens up exciting opportunities for non-technical product managers whilst making the field of AI product management more accessible, which is a precursor for innovating and building groundbreaking products that address complex, real-world challenges through leveraging cutting-edge technology. Product managers may have to unlearn things they learned in the past. It requires a new mindset.

How to avoid pitfalls around data privacy, bias, misinformation, generative AI, and more. While the question of how organizations can (and should) use AI isn’t a new one, the stakes and urgency of finding answers have skyrocketed with the release of ChatGPT, Midjourney, and other generative AI tools. Everywhere, people are wondering: How can we use AI […]

In this episode, we speak with Harvard Business School Professor Mike Luca about the role of platform design choices in reinforcing discrimination, how data experiments offer insights for managers, and what the future could hold if organizations continue to pay attention to these issues.

In this episode, we speak with Laura N Montoya from Accel.AI about the inherent correlation between underrepresentation and bias, the need to support communities building tech systems, plus advice for young people looking to get into the tech space.

In this episode, we speak with Lumumba Seegars from Harvard Business School about the challenges and limitations employees face when participating in Employee Resource Groups, how organizational leaders can be more effective allies, and the critical importance of intersectional approaches to any work involving change.

In this episode, we speak with Dr. Christine Marie Ortiz Guzman from Equity Meets Design about equity design and designers, organizational responsibilities to change, and the relationship between capital and lowercase “d” designers.

In this episode, we speak with Candice Morgan from GV (formerly known as Google Ventures) shares how to navigate inclusive strategies in organizations; how the “summer of protest” has moved the dial of accountability; and how the venture space can better practice antiracism.

In this episode, we talk with Dr. Ifeoma Ajunwa from the University of North Carolina School of Law about the legal and ethical implications of workplace surveillance in the age of remote work, wearable tech, and DNA testing.

The way to mitigate the effects of negativity about a brand is to try to tip the balance towards the voices of more positive brand allies.