"AI Impact Tour Hits Boston on March 27: Exploring Data Integrity in Generative AI"

On March 27, we'll host the next session of our AI Impact Tour in Boston, focusing on the practical applications of generative AI in enterprise settings, with a special emphasis on data integrity.

Caroline Arnold, CIO of State Street, and David Clifford, head of data science and machine learning at Biogen, will share their insights on generative AI and the significance of maintaining data integrity. I'm excited to moderate these discussions and engage with attendees on how they are addressing data integrity challenges in the rapidly evolving landscape of generative AI.

State Street, headquartered in Boston, ranks among the largest banks in the U.S., managing $3.7 trillion in assets. It is also a leading custodian bank and one of the “big three” index fund managers, employing 400 AI engineers who work on diverse applications, from optimizing investment portfolios to enhancing data quality and providing clients with conversational access to important information.

Biogen, a pioneer in biotech, has a proven track record of integrating advanced technologies like machine learning and generative AI into its scientific discovery processes. Both organizations exemplify the broader industry challenge of effectively applying AI within their respective fields. While general large language models like ChatGPT's GPT-4 excel in various contexts, they often struggle in specialized domains such as finance and biotech. To succeed, they require techniques like retrieval-augmented generation (RAG) and rigorous training to ensure data integrity.

This exclusive salon event, limited to 50 attendees, is designed for enterprise technical decision-makers. Apply here to engage in the fascinating world of generative AI, share best practices, and learn how to develop applications grounded in transparent, accountable, and fair data. Enjoy valuable networking opportunities, food, and cocktails.

Arnold and Clifford will delve into the importance of building reliable foundation models tailored for banking and drug discovery, offering insights on transferring generative AI principles to attendees' own fields.

While the potential of generative AI is significant, it faces universal challenges. A crucial obstacle is ensuring that large language models (LLMs) are provided with data that is accurate, representative, and complete. This data integrity challenge transcends finance and biotech, impacting a range of sectors, including healthcare, automotive, and retail.

Arnold and Clifford will address key issues related to data integrity in generative AI applications:

- Data Integrity Basics: The need for precise data tracking and storage is vital for accurate financial reporting, regulatory compliance, and maintaining client trust in finance. In biotech, this encompasses the entire data lifecycle from clinical trials to regulatory submissions.

- Data Representativeness: Popular foundation models like GPT-4 may incorporate inaccurate information, limiting their applicability in specialized industries.

- Completeness of Data: Many companies struggle to compile sufficient data independently, underscoring the necessity for collaboration within industries to establish comprehensive datasets.

Additionally, Kathleen Mitford, Microsoft’s Corporate Vice President of Azure, will offer insights into the varied applications of generative AI across sectors, stemming from Microsoft’s partnership with OpenAI. We extend our gratitude to Microsoft for sponsoring this event.

In conclusion, the Boston AI Impact Tour is a valuable opportunity for enterprise technical decision-makers to navigate the complexities of data integrity in the AI era. With limited seats available, we encourage prompt applications from interested participants.

I look forward to seeing everyone there!