Join leaders in Boston on March 27 for an exclusive night of networking, insights, and conversation. Request an invite here.
On March 27, we’ll host the next installment of our AI Impact Tour in Boston, focusing on the practical application of generative AI in enterprise settings, with a particular emphasis on the critical role of data integrity.
Caroline Arnold, CIO of State Street, and David Clifford, the head of data science and machine learning at Biogen, will share their approaches to generative AI and the importance of data. Personally, I’m looking forward to moderating these conversations, and fostering a wider discussion with attendees about how they’re approaching the question of data integrity amid the revolution that is unfolding around generative AI.
State Street, based in Boston, is one of the country’s largest banks by assets, with $3.7 trillion under management. It is also one of the largest custodian banks, and is considered one of the “big three” index fund managers. It has 400 AI engineers working on a range of AI applications, from building smarter portfolios, to improving data quality, to giving clients conversational access to knowledge, documentation, trade status, portfolio data and news.
Leading biotech company Biogen, meanwhile, has a history of adopting cutting edge technology into the scientific discovery process, including machine learning and generative AI. Both organizations illustrate the broader industry challenge of applying AI within specific domains. While general large language models like ChatGPT’s GPT-4 can do well in broad contexts like generating conversational content or text, they aren’t as equipped by themselves to do well in specialized areas like finance or biotech. They need advanced techniques like retrieval augmented generati …
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Join leaders in Boston on March 27 for an exclusive night of networking, insights, and conversation. Request an invite here.
On March 27, we’ll host the next installment of our AI Impact Tour in Boston, focusing on the practical application of generative AI in enterprise settings, with a particular emphasis on the critical role of data integrity.
Caroline Arnold, CIO of State Street, and David Clifford, the head of data science and machine learning at Biogen, will share their approaches to generative AI and the importance of data. Personally, I’m looking forward to moderating these conversations, and fostering a wider discussion with attendees about how they’re approaching the question of data integrity amid the revolution that is unfolding around generative AI.
State Street, based in Boston, is one of the country’s largest banks by assets, with $3.7 trillion under management. It is also one of the largest custodian banks, and is considered one of the “big three” index fund managers. It has 400 AI engineers working on a range of AI applications, from building smarter portfolios, to improving data quality, to giving clients conversational access to knowledge, documentation, trade status, portfolio data and news.
Leading biotech company Biogen, meanwhile, has a history of adopting cutting edge technology into the scientific discovery process, including machine learning and generative AI. Both organizations illustrate the broader industry challenge of applying AI within specific domains. While general large language models like ChatGPT’s GPT-4 can do well in broad contexts like generating conversational content or text, they aren’t as equipped by themselves to do well in specialized areas like finance or biotech. They need advanced techniques like retrieval augmented generati …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]