Greenplum Summit

AI, Neural Networks, and the Future of Analytics

September 23, 2020
9AM - 11AM PDT

AI, Neural Networks, and the Future of Analytics

Every CIO is investing in artificial intelligence and machine learning. Greenplum users have been ahead of the curve, using the project’s parallel execution capabilities for advanced analytics and mathematical operations. Learn how Greenplum and Apache MADlib are enabling both data scientists and analysts alike to explore and operationalize these technologies to deliver on the lofty promise of AI and ML in the real world.


9:00 - 9:10 am Welcome
9:10 - 9:25 am  Using Greenplum and PLPython, we leverage the BERT
9:25 - 9:40 am Training Deep Neural Networks in Parallel with GPUs on Greenplum Database
9:40 - 9:55 am Using Similarity to Understand Large Datasets with Greenplum Database
9:55 - 10:10 am GPText work close with Greenplum Database to provide free text search and advanced text analysis
10:10 - 10:25 am pxf, madlib and gptext with Greenplum on kubernetes using GPUs.
10:25 - 10:40 am Data Science In Action
10:40 - 11:00 am Greenplum Summit Final Closing


Jacque Istok, Vice President Data at VMware
Jacque Istok serves as Head of Data for VMware, responsible for setting data strategy and the activities for data engineering and data science. Prior, he was Field CTO helping customers architect and understand the entire VMware portfolio. A hands on technologist, he has been implementing and advising customers in architecture and back end infrastructure the majority of his career. Before VMware, Mr. Istok co-founded Professional Innovations, Inc. in 1999, a leading consulting services provider in the business intelligence and data warehousing space. Mr. Istok is on the board of several emerging startup companies and serves as their strategic technical advisor.
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Michiel Shortt, Data Scientist at A42 Labs
Michiel is a Data Scientist with a strong background in optimization and applications of advanced mathematical algorithms. Interested in the limits of computing since a teenager, he has had a lifelong interest in the mathematics behind computer science, in particular AI and machine learning.
His professional experience includes software development and the application of machine learning and optimization algorithms to diverse business problems, especially in the fields of industrial engineering and logistics.
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Ekta Khanna, Sr. Member of Technical Staff at VMware
Ekta has been with Greenplum since 2017. She has contributed to Greenplum's query optimization engine(ORCA and planner) and MADlib, machine learning library for scalable in-database analytics on Greenplum. She is passionate about working with largescale data and transforming raw data into useful information that can help customers make better data driven decisions.
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Domino Valdano, Principal Software Engineer at VMware
Domino helped design and implement the Deep Learning module of MADlib, an Apache Top Level Project. With a background in Computer Engineering and Theoretical Physics, she has over 20 years of experience as a professional software engineer, and is the author of 5 publications in peer reviewed scientific journals. At VMware, she continues to improve Apache MADlib, currently serving as agile anchor for the Tanzu Greenplum Advanced Analytics team.
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Radar Lei, Senior Product Manager at VMware
Radar is the product manager for GPText team at VMware Tanzu R&D.
He is committed to building an advanced, easy-to-use, end-to-end in-database text analysis system.
He is also a fan of the open source community, becomes Apache committer and PMC member since 2015.
Prior to joining VMware, he worked as a senior software developer at Teradata.
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Nikhil Kak, Sr. Member Technical Staff at VMware
Nikhil Kak joined in Sept 2015 and has been working on Greenplum ever since. He worked with the Greenplum Advanced Analytics team for around 2.5 years where he worked on adding deep learning(using GPUs) support to their open source machine learning product Apache MADlib. He currently works for the Greenplum for Kubernetes team and understands how easy Kubernetes makes it to run analytics and data science workflows using MADlib and other Greenplum components.
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Kris Blahnik, Marketing Product Owner – Customer Engagement Platform Digital Identity and Insights at Dell
Kris operates in the fuzzy space among data science, data & platform management, solution architecture, and business strategy for insight-driven outcomes. His career at Dell has meandered through direct sales & ops, outsource partner management, omni-channel demand generation, marketing automation, and developing & deploying Dell’s customer data platform – across all of which common passions of “scalable architecture!” and “build capabilities, not use cases!” have enabled his success [in automating himself out of his roles]. Currently, he is focused on delivering business outcomes through innovative Greenplum solutions: reducing the resource and time cost of traditional enterprise processes through dynamic-SQL ETL toolkits; removing data transport bottlenecks and diversifying storage strategy by leveraging PXF; enhancing the scope and accuracy of the customer device/identity graph through MADlib; optimizing digital engagement & contact strategy through customer journey modeling.
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Ivan Novick, Greenplum Product Lead at VMware
Ivan has been working on big data, databases, and enterprise systems since 2002. He spent 5 years in the financial industry building trading systems; worked at Yahoo on the data warehouse system before Hadoop was created; hacked on a MySQL storage engine for a year and has spent the last 7 years in various capacities working on the Pivotal Greenplum product. Ivan’s passion is building next-generation data platforms. In his free time, he has also been a beginning yoga student for the last 10 years. Born and raised in NYC Ivan is now is enjoying the California lifestyle where has resided since 2006.

Code of conduct

VMware is dedicated to providing and promoting a safe and inclusive environment for everyone, regardless of gender identity and expression, sexual orientation, disability, neurodiversity, physical appearance, body size, ethnicity, nationality, race, age, religion, or other protected categories. Because we don’t always know what might make someone else feel uncomfortable or unwelcome, these guidelines are meant to reinforce our values and clarify our expectations of all of those who participate in our community and events. They also define unacceptable behavior and provide instructions on what you can do if you see unacceptable behavior.

We each have different backgrounds and experiences. At VMware, we have three core values that we expect all to abide by: do the right thing, do what works, and be kind.

Expected behavior

  1. Be considerate, respectful, and collaborative.
  2. Refrain from using any demeaning, discriminatory, or harassing behavior and speech.

Unacceptable behavior

Unacceptable behavior may include, but is not limited to, the following:

  1. Harassment and discrimination, which includes: any verbal, physical, or visual conduct based on sex, sexual orientation, gender expression or identity, transgender status, race, age, national origin, disability, or other protected characteristics; inappropriate use of nudity and/or sexual images in public spaces (including presentation slides); deliberate intimidation, stalking, or following; harassing photography or recording; sustained disruption of sessions, talks, or other events; and inappropriate physical contact, or any unwelcome sexual attention.
  2. Using any boisterous, lewd, or offensive behavior or language; using sexually explicit or offensive language or conduct; using profanity, obscene gestures, or racial, religious, homophobic, transphobic, or ethnic slurs; commenting about a person’s body or sexual activity; and discussing sexual activity.
  3. Failing to obey any of the rules or regulations of the event or instructions of the event staff.
  4. Participating in any other illegal activity not already covered above.

Consequences of unacceptable behavior

We won’t tolerate unacceptable behavior. If a participant engages in unacceptable behavior, the event organizers may take any action they deem appropriate, up to and including expulsion from the event without warning or refund and, if appropriate, involving local law enforcement. Anyone asked to stop unacceptable behavior is expected to comply immediately.

How to report unacceptable behavior

If you have a complaint or concern about harassment, discrimination, bullying, or any other conduct that violates the VMware Events Code of Conduct, please contact [email protected].

We thank our attendees in advance for your help in keeping the event welcoming, respectful, and friendly to all participants.


Thank you!

We look forward to you joining us.


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