May 5, 2020 | New York, NY
ModelOps Summit
The Assembly will feature members from...
Event Registration Request
Title Representation
Industry Breakdown
Org. Size by Revenue
Agenda
8:15am-9:00am
Breakfast, Registration and Networking
9:00am-9:15am
MC and Opening Remarks
9:15am-9:45am
Keynote Presenter: “ModelOps and the Enterprise AI Challenge ”
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| Joe Squeri CTO and Former CIO at Barclays & Goldman Sachs |
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In this session we will share the Top Challenges to operationalize AI, particularly in non-digital-native enterprises.
Learn how the rising ModelOps capability is key to moving AI projects from Pilot to Production, by overcoming organizational, process and technology roadblocks, that go beyond technical data science issues. Discover what new practices like “Shadow AI” are, and how the most innovative CIOs are controlling them.
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9:45am-10:15am
Networking Break
10:15am-10:55am
Panel: “Bring the AI exploration era to the next stage of production with ModelOps“
USAA |
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American Express |
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| Steve Marasco VP Modeling Analytics |
Deborah Grace CVP Operations -Center for Data Science & AI |
Nick Kabra VP Data Engineering & Data Analytics |
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In this panel, pioneers who are leading Enterprise AI Transformations will share their real-life experiences from their AI journey. They will focus on the winding path of operationalizing all models across the enterprise in a world with models of all types, regulations and the need for explainability and visibility. We will discuss lessons learned, what has worked, what hasn’t, do’s and don’ts, etc..
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10:55am-11:20am
Networking Break
11:20am-12:00pm
Think Tank in Rounds: “Organizational challenge in the Enterprise AI“
JPM Chase |
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| Liang Zhou ED & Head of Digital Intelligence |
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The AI model life cycle, far more complex and dynamic than the software life cycle, demands a very high level
of synchronization between the development and production environments and teams. But the organizational
processes and tools used to manage the software life cycle don’t readily extend to support enterprise AI.
In this interactive session, you will have the opportunity to discuss with your peers the best ways to solve the cross-organizational tensions that are arising. These tensions might arise as a consequence of a lack of ownership to manage and govern AI model life cycle, and of the absence of a structure in place to unify and orchestrate people, process and technology in the AI journey. You will have the opportunity to share experiences about introducing new roles, such as the AI Architect, and the ModelOps Engineers (per Gartner) and other analyst recommendations.
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12:00pm-1:15pm
Lunch and Networking
1:15m-1:45pm
Fireside Chat “Ethics, Bias, Responsible AI- Operationalizing Fairness“
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| Ron Bodkin Office of the CTO |
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Keeping models in compliance with business policies or regulatory requirements is essential, yet it becomes exponentially more difficult as more models of varying types are put into business. The challenge will accelerate further as AutoML and Augmented ML bring AI to the masses and raise the real prospect (and risks) of Shadow AI. Maintaining the complete history and lineage of a model, a necessity for any enterprise that may face an audit, requires robust tracking and management throughout the model’s entire life cycle. Failing to do so can open up the organization to massive risk from both a regulatory and brand reputation perspective. Hear how to Scale AI, while staying compliant.
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1:45m-2:05pm
“Top 5 Pitfalls of AI Governance in the Wild West of Models“
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Wells Fargo |
TIAA |
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| Nasser Fattah Managing Director |
Fernando Cela Díaz SVP, Head of Advanced Computing and AI/ML Engineering for Model Risk |
Robert Serena Director, ERM Model Risk |
Ina Wanca VP AI Solutions |
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AI/ML regulatory aspects rapidly evolve. Hear from peers from non-digital native enterprises, who are ahead in the AI journey, and how to avoid the most frequent pitfalls and maintain good governance to prevent bias and stay compliant with external regulation as well as internal audit.
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2:05pm-2:30pm
Closing Remarks
2:30pm-3:30pm
Cocktails and Networking
Proudly Sponsored By
Media Partners
Got questions? We've got answers!
Why should I attend?
Your time is valuable and we make sure to make the most of it! We take the time to figure out your challenges and customize your experience to meet your needs. Our agendas are tailored to your feedback and we pride ourselves in covering the most cutting-edge content delivered by renowned industry experts. Look forward to building enduring partnerships and together we’ll go straight to the top.
Where is the event taking place?
The event is by invitation-only. The location will be released to all attendees once your registration has been confirmed.
What is the dress code?
We recommend business attire. Most attendees wear suits or comparable attire. Ties are optional.
Can I bring a colleague with me?
Yes! We always urge our members to refer their colleagues! We love adding new members to the community, especially if they come highly recommended by a current member. Either have them reach out to your Apex POC or have them fill out the Member Registration Form.
What if I have dietary restrictions?
No problem! Please let your Apex POC know as soon as possible in order for us to work with the venue on providing alternate options for you at the event.
What if I want to speak at an assembly?
Apex is always looking for speakers that can contribute their valuable insight. If you would like to speak, please contact your Apex POC or fill out the Speaker Registration Form on the Assemblies page. Please keep in mind that we receive many inquiries for speaking and sessions are available on a first come first served basis. But no need to worry, we have plenty of opportunities available at future assemblies.
I plan on being in attendance, but what if something comes up and I have to cancel?
We understand that something may come up on your calendar! Before canceling with us, please know that we will have a separate room for attendees to step out for work-related activities (meetings, emails, conference calls, etc.). If you must cancel, we just ask that you let us know at least 48 hours in advance so that we can open up the waitlist for another member.
On May 5, 2020 Apex Assembly is proud to host the 1st ModelOps Summit.
The invitation-only event will unite leading IT decision makers and business leaders from the area to address key challenges to unlock the transformational value of AI and Machine Learning investments by creating fully operationalized and transparent, traceable, explainable, and compliant model life cycles for every model in business. Discussions will encompass culture, processes and technology.
Numerous studies show that while 85% of enterprise users believe data science helps their companies obtain or sustain a competitive advantage, only 5% of them are using data science to their full capacity. A key reason for this gap is that it’s extremely hard for companies to get models (the core of many AI solutions) out of the data science lab and
into production, and with proper life cycle management.
Challenges to operationalizing AI are not only technological – business, organizational and cultural factors play extremely important roles, such as:
Strong model governance is needed to comply with business regulations, overcome bias, and maintain visibility and model lineages for auditing purposes. AI governance is far more complex than anything seen previously in the software management life cycle.
Heterogenous technical environments, including the use of various data science tools and execution platforms, make it difficult to create a consistent path to production with enough flexibility to customize each model life cycle.
Cross-organizational tensions are arising, without any structure in place to unify and orchestrate people, process and technology.
ModelOps is the key capability that resolves these challenges for enterprise AI. Organizations that have struggled to generate big returns on their AI investments are increasingly finding that ModelOps is a critical competence that provides the organizational context and operating framework that enables models to move swiftly and safely into production with transparency, accountability, and compliance, enterprise-wide. ModelOps is a rapidly evolving field and there are still a lot of misconceptions around the discipline and even issues on terminology (e.g. “MLOps” vs. “Model Operationalization”, etc.) ModelOps and a lack
of opportunity to share best practices and use cases.
The 2020 ModelOps Summit is the response to the increasing demand for a peer-to-peer platform to discuss ModelOps.