We are excited to invite you to the Python Executive Forum, hosted by Anaconda CEO Peter Wang. Join us on March 29, in the heart of the Financial District of New York City, to learn how the financial industry is leveraging Python in Machine Learning and Artificial Intelligence to drive business outcomes without sacrificing data security.
During this half-day event, we will discuss:
- How data accessibility brings you into the future of AI/ML.
- How a data governance model is critical to success in Python development.
- How IT executives and Data Science leaders can work together to secure your open source pipeline.
In addition to networking with industry peers, you’ll gain valuable insight from Python leaders, innovators, and executives. This event is invite only and free to attend. Lunch and beverages are included.
Why is Anaconda hosting this event?
As more organizations look to accelerate their Machine Learning initiatives, collaboration between executive leaders is imperative. You’ll leave this event with a vision to set your teams up for success in a future of AI/ML.
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Learn more
11 AM | Check-in, Networking, Coffee
11:30 AM | Peter Wang, Anaconda, CEO
11:45 AM | Snowflake + Python = Match made in heaven.
From data engineering to now with all the breakthroughs in AI, Python has become the language of choice. Join Snowflake to hear how they’re leveraging Python with Snowpark to empower regulated enterprises like those in Financial Services to work with data in a governed, regulatory-compliant, self-service model.
Matthew Glickman, Snowflake, VP Product Strategy Financial Services
12:00 PM | Networking three-course lunch
1:15 PM | AI/ML in Finance Panel Discussion
Panelists:
Peter Wang, Anaconda, CEO
Matthew Glickman, Snowflake, VP Product Strategy Financial Services
David Liu, Intel, AI CTO, Data Center and AI Sales
Jay Jacobs, BlackRock, Head of Thematics and Active Equity ETFs
Shiv Swaminathan, Citigroup, Head of Trade Working Capital Solutions Technology
2:15 PM | Closing Remarks
123 Nassau St, New York, NY 10038
