The countdown has begun to the inaugural A-Team Group AI in Data Management Summit NYC. Leading figures from the worlds of data and finance will gather at the event to consider the most pressing matters facing them as their companies embed artificial intelligence into their operations.
The Summit builds on the success of 15 years of the Data Management Summit New York, at which AI has become a prominent discussion point.
Such is the speed with which AI is being rolled out by institutions that it became obvious that a separate forum was needed to give capital markets participants the opportunity to share best practices, discuss risk mitigation strategies and offer advice to colleagues and clients.The Summit will explore how AI is forcing a fundamental reset to data management and how generative and agentic AI are moving from hype to practical application. The event will provide a strategic playbook for data executives to redefine their operating models.
High Hopes But Not Without Risks
The financial services sector is spending more on AI than any other industry, with the World Economic Forum estimating that investment reached US$45 billion in 2024. Within three years of ChatGPT’s rollout and the world becoming attuned to GenAI’s possibilities, financial institutions have piloted tens of thousands of applications and put thousands into operation. In that time, too, the fundamentals of AI have changed with agentic functionality poised to dominate the space.The opportunities are huge, but so too are the potential risks. How organisations balance those will determine how the technology evolves.
Our debut event will open with a fireside chat between Jennifer Ippoliti, legal chief data officer at JP Morgan Chase and Jane Conway, MD, digital, data and enablement – client and product solutions at Apollo Global Management.
In this conversation, Ippoliti will be asked for her thoughts on one of the most pressing matters facing data chiefs – how can they ensure that their AI is trustworthy enough to be put into operational use?
She will focus on how generative AI can bring meaning to unstructured data; how pilot AI innovations can be put safely into production; and, what metrics should be used to measure return on investment?
“Successful GenAI efforts are driven by clear user needs, not by the desire to deploy the technology,” Ippoliti told Data Management Insight before the event, which will be held on March 19.
“If users don’t trust the technology or don’t see it solving a real problem for them, adoption stalls. Trust and readiness are what ultimately determine whether a pilot ever becomes something the business relies on.”
Top-Level Pull Vs Tech Team Push
A recurring talking point in the AI debate has been that of corporate and, indeed, cultural buy-in. Without the backing of the business leaders, the operations teams will be hamstrung in their efforts to implement new AI products. Such a half-hearted form of decision-making can be self-defeating, leading to improperly planned rollouts that create more problems than they solve.A collegiate approach to adoption of new technologies will be essential.
“Success requires transforming business leaders from sceptics into co-owners who pull adoption forward because they see tangible value, not because technology teams are pushing the latest tool,” said Ippoliti.
- A-Team Group’s AI In Data Management NYC will be held at @Ease 1345 Avenue of the Americas, New York, on March 19. To book your place, click here for registration details.
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