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AI & Future of Business Technology

This community centers its focus on the burgeoning field of AI and delves into the far-reaching implications of artificial intelligence for the future of business technology. Participants engage in a rigorous exploration of cutting-edge advancements in AI, machine learning, and automation, all while unearthing novel avenues for innovation, operational efficiency, and strategic acumen in the corporate realm. This collaborative effort aims to shape the future of digital transformation through scholarly discourse, empirical inquiry, and the practical implementation of AI-driven solutions.

Jun 5

Learning Sprint: Fundamentals of Ethical AI Product Management

7:00 pm - 8:00 pm EDT Virtual Event
Understanding the AI product management field has become more crucial now than ever, particularly in light of recent advancements in artificial intelligence and Machine Learning technologies including the recent proliferation of generative AI large language models. Considering the speed with which AI is becoming pervasive in our lives, having a strong grasp of AI concepts and frameworks is critical. This becomes more pertinent especially for aspiring AI product managers without significant technical (e.g., coding) background.   This learning sprint explores opportunities recent advancements in artificial intelligence bring to the field of AI product management, with an emphasis on applying an ethical lens to developing and deploying AI products. By catering to non-technical professionals, this course aims to make the AI product management field more accessible, which is a precursor for innovating and building groundbreaking products that address complex, real-world challenges through leveraging cutting-edge technology. This course is ideal for tech-savvy professionals who want to acquire domain knowledge and foundational skill sets in order to thrive in the new and exciting field of AI product management.
  • Aditi Joshi- AI Program Lead at Google Cloud, Core ML

Lessons in Applying Responsible AI

Insights from the March 27th, 2024 capstone session on Gen AI applied use cases, risks, and responsibilities Recordings and articles from the Generative AI in Healthcare series can be found here. In the capstone session of the Generative AI in Healthcare series, Satish Tadikonda (HBS) spoke with Responsible AI Institute experts Manoj Saxena, Var Shankar, […]

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D^3 Faculty

Insight: Common Generative AI Misconceptions and How to Demystify Them

Owing to the accelerated advancement in the field of generative AI technologies, it’s important to address misconceptions about what generative AI tools can and cannot do in order to maximize the benefits and minimize potential harms. In this “Ask me Anything” session, Amanda demystifies some of the most commonly held misconceptions about generative AI via discussions of real-world use cases. While responding to specific questions, Amanda highlights areas in which generative AI seems to thrive, while she also identifies notable shortcomings of the technology by drawing from her diverse and extensive experience as a digital transformation expert and a sought-after advisor to leading organizations in artificial intelligence and machine learning technologies.

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The Learning Network

Insight: Integrating Generative AI Within Organizational Systems Comes With Challenges. Here Is Why Businesses Should Still Invest In This Space, Now More Than Ever

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. 

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The Learning Network

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