ODSC WEST 2022 | IN-PERSON & VIRTUAL CONFERENCE
AI EXPO & DEMO HALL
Solution Showcase | Networking
November 1-3, 2022 | Hyatt Regency San Francisco Airport
PARTNERS
TALKS AND PRODUCT DEMOS
NETWORKING EVENTS
ATTENDEES
Understand the application of AI in the real world
Want to keep up with the latest AI developments, trends, and insights? Dealing with the build or buy dilemma to grow your business? Seeking to interact with data-obsessed peers and build your network?
Look no further: ODSC AI Expo & Demo Hall is the right destination for You
Expo Hall Topics
Partner sessions offer compelling insights on how to make data science and AI work for your industry. Here are some of the topics you can expect at AI Expo & Demo Hall. Full agenda is coming soon.
Trustworthy Decision Management
What to Consider with Model Ops When Moving to the Cloud?
Getting started with Dask using Saturn Cloud
Privacy-Preserving Machine Learning: Split Learning and Privacy Attacks
An Overview of Arize AI’s ML Observability Platform
Z by HP’s Data Science Solutions
2021 Visionaries and Thought Leaders
Padhraic Smyth, PhD
Padhraic Smyth is a Chancellor’s Professor at the University of California, Irvine (UCI) with appointments in the Department of Computer Science and in the Department of Statistics. His research interests include machine learning, pattern recognition, and applied statistics and he has published over 200 research papers on these topics. He is a Fellow of the Association for Computing Machinery (ACM) and the Association for the Advancement of Artificial Intelligence (AAAI) and has served in editorial and advisory positions for journals such as the Journal of Machine Learning Research and the Journal of the American Statistical Association. He has co-authored two texts, Principles of Data Mining (MIT Press, 2001), and Modeling the Internet and the Web (Wiley, 2003). While at UCI he has received research funding from federal agencies such as NSF, NIH, NASA, and NIST, we well as from companies such as Google, Qualcomm, SAP, Adobe, IBM, Experian, and Microsoft. In addition to his academic research he is also active in industry consulting, working on the development of new machine learning algorithms and methods across multiple application areas. He also served as an academic advisor to Netflix for the Netflix prize competition from 2006 to 2009. Padhraic grew up in the west of Ireland and received a bachelor’s degree in Electronic Engineering from the National University of Ireland (Galway) in 1984. He then received Masters and PhD degrees (in 1985 and 1988 respectively) in Electrical Engineering from the California Institute of Technology. From 1988 to 1996 he was a Technical Group Leader at the Jet Propulsion Laboratory, Pasadena, and has been on the faculty at UC Irvine since 1996.
Overconfidence in Machine Learning: Do Our Models Know What They Don’t Know?(Keynote)
Marinela Profi
As a Marketing Manager for data science and open-source, Marinela uses her cross-domain expertise in statistics, business and marketing, to position SAS as a leader in the Data Science and Machine Learning Platform market. She focuses on helping customers apply advanced analytics, machine learning, natural language processing and forecasting to solve their most complex problems. Over the past 5 years, Profi honed her skills mining data, developing models and technical/business solutions, including deploying AI at scale. Her experience spans banking, manufacturing, retails and energy. She is a keynote speaker and presenter at different global conferences, where she shares trend and priorities of the data science industry. She is a published author, contributor to several eBooks, and blog writer on major industry and data science blogs. She has a bachelor’s in economics, an MBA and a master’s in statistics. She is passionate about getting more younger passionate to code and pursue careers in STEM.
Developing, Deploying and Managing Models at Scale with SAS® Viya®(Talk)
Dr. Jacqueline Nolis
Dr. Jacqueline Nolis is a data science leader with 15 years of experience in running data science teams and projects at companies ranging from Airbnb to Boeing. She is the Chief Product Officer at Saturn Cloud where she helps design products for data scientists. Jacqueline has a PhD in Industrial Engineering and her academic research focused on optimization under uncertainty. Data science is also her hobby—like making an R package that mails physical postcards of your plots.
Make Your Data Science Environment Just Right With Saturn Cloud(Demo Talk)
Lama Nachman
Lama Nachman is an Intel Fellow and Director of Human & AI Systems Lab in Intel Labs. Her research is focused on creating contextually aware experiences that understand users through sensing and sense making, anticipate their needs and act on their behalf. She leads a multi-disciplinary team of researchers that explore new user experiences, sensing systems, algorithms and applications and transfer these capabilities to biz units to impact future Intel products. Lama has 23 years of experience in the areas of context aware computing, multi-modal interactions, sensor networks, computer architecture, embedded systems and wireless technologies. Previous assignments at Intel involved researching and developing the next generation of self-organizing sensor network nodes (Intel Mote Platforms). She deployed these technologies in health applications as well as various commercial and industrial settings. Prior to joining Intel, Lama has held senior positions at Ubicom Inc, Weave Innovations and Microsoft Corporation. Lama received her MS and BS in computer engineering at the University of Wisconsin-Madison.
Changing the Narrative: The Importance of Responsible AI and Human-AI Collaboration(Keynote)
Stuart Russell, PhD
Stuart Russell is a Professor of Computer Science at the University of California at Berkeley, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI. He is a recipient of the IJCAI Computers and Thought Award and held the Chaire Blaise Pascal in Paris. In 2021 he received the OBE from Her Majesty Queen Elizabeth and gave the Reith Lectures. He is an Honorary Fellow of Wadham College, Oxford, an Andrew Carnegie Fellow, and a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His book “Artificial Intelligence: A Modern Approach” (with Peter Norvig) is the standard text in AI, used in 1500 universities in 135 countries. His research covers a wide range of topics in artificial intelligence, with a current emphasis on the long-term future of artificial intelligence and its relation to humanity. He has developed a new global seismic monitoring system for the nuclear-test-ban treaty and is currently working to ban lethal autonomous weapons.
Gilad Shaham
Gilad has over 15 years of experience in product management and a solid R&D background. He combines analytical skills and technical innovation with Data Science market experience. Gilad’s passion is to define a product vision and turn it into reality. As Director of Product Management at Iguazio, Gilad manages both the Enterprise MLOps Platform product as well as MLRun, Iguazio’s open source MLOps orchestration framework. Prior to joining Iguazio, Gilad managed several different products at NICE-Actimize, a leading vendor of financial crime prevention solutions, including coverage of machine-learning based solutions, formation of a marketplace and addressing customer needs across different domains. Gilad holds a B.A in Computer Science, M.Sc. in Biomedical Engineering and MBA from Tel-Aviv University.
It worked on my Laptop, now what? Using OS tool MLRun to Automate the Path to Production(Demo Talk)
Bruce Blaho
Bruce is an HP Fellow and Chief Technologist for the Advanced Compute & Solutions Business Unit in HP Personal Systems. His focus is on innovation and the development of new growth opportunities. Bruce joined HP in 1985 to work on the then-emerging field of 3D graphics acceleration and architected the first GPU design to run inside a window system. Most of his career has been in the Workstation business, from the early RISC-based days to current PC-based approach. He has championed many new innovations including DreamColor monitors (which won a technical Oscar award!), HP Remote Boost (RGS) collaboration software (which won an engineering Emmy award!), Linux based workstations, and many more. His current focus areas are Hybrid Edge Computing, Blockchain-based Security, Data Science, & AI.
Jacopo Rota
Jacopo Is a Senior Software Engineer at Red Hat, where he contributes to TrustyAI development and other Red Hat Cloud platform services. Jacopo graduated in Computer Science at the University of Milan with a thesis on the regret minimization for reserve prices in Second-Price auctions. Before joining Red Hat, Jacopo worked for one of the largest reinsurance companies on a white label telematics product for the motor insurance market distributed worldwide.
Allegra Holland
Allegra Holland is a Go-to-Market strategist at Transform; a Series-A startup focused on making data accessible within an organization through metrics. She was previously at Looker (acquired by Google), where she started as a data analyst and then explored several customer-facing roles in Support, Professional Services, and Customer Success. Beyond the world of data, Allegra enjoys surfing, backpacking, or playing with her puppy Finley.
Metrics Store as an Interface to Data(Demo Talk)
Carlos Guestrin
Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi. Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.
How Can You Trust Machine Learning?(Keynote)
Dom Divakaruni
Dom Divakaruni is Group Product Manager with Microsoft’s Azure AI Platform, where he is responsible for services that help customers build the next generation of apps, like GitHub Copilot – powered by OpenAI’s GPT-3 and Codex models. Previously, he led Product for AWS AI services like Inferencia and Elastic Inference and initiatives like Apache MXNet. Dom has a degree in Electrical Engineering from the University of Maryland.
Powering the Next Generation of Apps with GPT-3, Codex with the OpenAI API(Keynote)
Adi Hirschtein
Adi Hirschtein brings 20 years of experience as an executive, product manager and entrepreneur building and driving innovation in technology companies. As the VP of Product at Iguazio, the MLOps platform built for production and real-time use cases, he leads the product roadmap and strategy. His previous roles spanned technology companies such as Dell EMC, Zettapoint and InfraGate, in diverse positions including product management, business development, marketing, sales and execution, with a strong focus on machine learning, database and storage technology. When working with startups and corporates, Adi’s passion lies in taking a team’s ideas from their very first day, through a successful market penetration, all the way to an established business. Adi holds a B.A. in Business Administration and Information Technology from the College of Management Academic Studies.
Zeke Dean
Zeke Dean is a highly experienced streaming analytics architect with expertise in both Kafka and Apache Druid. He is an expert at wearing multiple hats to satisfy customers in their specific roles and has delivered highly scalable code and distributed systems. He has numerous years of experience building big data systems for enterprises all over the world — from banks in the Middle East and India to major publishing houses in the United States and a payment platform in Japan. He now works with businesses to solve their analytics requirements on streaming data using the Imply analytics in motion platform based on Apache Druid.
(Demo Talk)
Mitali Sanwal
Mitali is a Senior Data Scientist at SaturnCloud. She has over 7 years of experience in software engineering and business analysis at Oracle and Accenture. Mitali holds a masters in Computer Science. Outside of work she likes running and hiking.
Getting started with Dask using Saturn Cloud(Demo Talk)
Peter Welinder, PhD
Peter Welinder is VP of Product and Partnerships at OpenAI. He leads commercialization of OpenAI’s research, including OpenAI’s GPT-3 and Codex API and the Github Copilot partnership. Previously, he founded and led applied machine learning engineering and product at Dropbox. He was co-founder and CEO of Anchovi Labs (acquired by Dropbox). Peter has a PhD in Computation and Neural Systems from Caltech and a degree in Physics from Imperial College London.
Powering the Next Generation of Apps with GPT-3, Codex with the OpenAI API(Keynote)
Grzegorz Gawron
Grzegorz (Greg) Gawron, MScEng, is a Staff Software Engineer at LiveRamp. He is focused on practical applications of differential privacy and other privacy-enhancing technologies, continuing his work from DataFleets, which was acquired by LiveRamp in February 2021. During his recent engagement at the IQSS/Harvard OpenDP Fellows program, he explored the privacy implications of split learning. He obtained his Master’s degree in computer science and has a Master’s degree in economics from Warsaw University in Poland. He is currently working toward a computer science PhD at AGH University of Science and Technology in Krakow.
Privacy-Preserving Machine Learning: Split Learning and Privacy Attacks(Talk)
Lenny Isler
Lenny Isler has been with HP for 8 years, 6 of them in the public sector area. Lenny has been a sales generalist, a Z workstation Specialist and a Business Development Manager while at HP. Lenny has extensive knowledge in high performance computing, data Science, Ai and machine learning.
Z by HP’s Workstation Data Science Solutions(Demo Talk)
Sabrina Smai
Sabrina Smai is a Product Manager in Microsoft’s AI Frameworks team. She works with all things PyTorch and ONNX Runtime.
Profiling and Optimizing PyTorch Applications with the PyTorch Profiler(Tutorial)
Ella Hilal, PhD
Ella Hilal is an active researcher and a subject matter expert with more than 15 years of experience in data intelligence, machine learning, ambient intelligence, autonomous systems, and Internet of Things, backed by versatile experience in academia and the tech industry in proactive innovation, solution development, and turning novel ideas into revenue-generating products. Dr. Hilal has been recognized as one of the leading women in the Internet of Things and Machine-to-Machine space by the Connected World forum. She has a Doctorate degree in Pattern Analysis and Machine Intelligence from the University of Waterloo. She is the Director of Data Science and Engineering for Plus and International at Shopify. Dr. Hilal is also an adjunct assistant Professor at the University of Waterloo. Dr. Hilal has been recognized numerous prestigious awards, most prominent of which are NSERC IRDF, NSERC CGS, Fulbright, DAAD, and OGS. Dr. Hilal is an active evangelist for responsible innovation, women in tech, and STEM. She has also been recognized by the Google Anita Borg Memorial Scholarship as a Google scholar for her active role and leadership in supporting women in technology. She has been recognized as a champion in a Women in Technology Peer2Peer group, where professionals in the Waterloo region explore challenges and share insights to encourage retention and advancement of women in technology.
How to Effectively Scale ML & AI in Any Organization(Business Talk)
Abhinav Joshi
Abhinav Joshi is a Director, Product Marketing at Red Hat. He and his team are focused on cloud-native workloads on Red Hat OpenShift, including AI/ML, data analytics, databases, etc. Abhinav has over 20 years of industry experience in Hybrid Cloud, AI/ML, Data Analytics, Digital Workspace, and Software Defined Data Center.. Throughout his career, Abhinav has held strategic roles in Product Management, Product Marketing, Sales, and Consulting Services at Red Hat, VMware, Cisco, NetApp, etc. He holds an MS in Systems Engineering from the University of Maryland College Park, Strategic Management Graduate Certificate from Harvard University, and a B.Tech in Chemical Engineering from Nagpur University, India.
Accelerate AI/ML Deployments with Enterprise-grade MLOps(Track Keynote)
Sadie St Lawrence
Sadie St Lawrence is the Founder and CEO of Women in Data, a community of 30,000+ data leaders, practitioners, and citizens whose mission is to increase diversity in data careers. Women in Data has been named a Top 50 Leading Company of The Year, and has been rated as the #1 community for Women in AI and Tech. Sadie has trained over 400,000 people in data science and has developed multiple programs in machine learning and career development. Sadie has been awarded, Top 30 Most Inspiring Women in AI, Top 10 Most Admired Businesswomen to Watch in 2021, Top 21 Influencer in Data, and is the recipient of the Outstanding Service Award from UC Davis. In addition, she serves on boards, and is the host of the Data Bytes podcast.
Jeremy Osinski
Jeremy is a leader in leveraging advanced analytics and data science within the legal, risk and compliance space. He leads the Forensics Technology and Innovation team within New England for Ernst & Young LLP.
Jeremy assists clients in enhancing integrity programs through data-driven techniques. He focuses on forensic data analytics, electronic discovery, information governance and cybercrime. He has served clients within financial services, power and utilities, and the public sector.
Jeremy has built teams and served clients on five continents. He is also a cofounder of the EY flagship forensic analytics platform, “EY Virtual.” He has delivered technology-enabled managed services to many clients.
He is a frequent speaker around emergent technologies, including artificial intelligence and robotic process automation.
Jeremy holds BS degrees in Finance and Economics from the Villanova School of Business at Villanova University. He is a certified fraud examiner and certified anti‑money laundering specialist.
Measuring Integrity: Emergent Data Science Techniques within the Legal, Regulatory & Compliance Space(Business Talk)
Sam Dillard
Sam Dillard is a Senior Product Manager at InfluxData. He is passionate about making customers successful with their solutions as well as continuously updating his technical skills. Sam has a BS in Economics from Santa Clara University.
Building ML and AI Applications with a Purpose-Built Time Series Database(Demo Talk)
Joe Gifford
Joe is a Solutions Engineer at OmniSci with a focus on Data Science. Previously he was at Ford Motor Company on their Autonomous Vehicle team where he was responsible for mass decoding efforts and aiding in design for their data lake and Apache Spark processing architecture. After that he was part of the team tasked with developing the algorithm for Ford’s BlueCruise road classification system. Joe has over 4 years of experience in the Data Science and Data Engineering space and over 10 years of experience in various aspects of IT.
James Olejniczak
James Olejniczak is a Product Manager within the Data Management Solutions product management team at S&P Global Market Intelligence. He leads multiple teams in developing visualizations for the S&P Global Marketplace platform. As a Business Intelligence (BI) tool expert, Mr. Olejniczak is responsible for guiding initiatives and assisting clients in bridging the gap between highly structured data and data structured for optimized BI ingestion. Preceding his role in Product Management, James has a vast spectrum of experience in his eight years at S&P Global from fundamental data collection to the onboarding and continued support of feed clients. Mr. Olejniczak holds a bachelor’s degree in business finance from the Metropolitan State University of Denver.
Streamlining Analytics with the S&P Global Marketplace Workbench(Demo Talk)
Kristen Honey, PhD
As the Deputy Chief Data Officer of Strategy at the Department of Health and Human Services (HHS), I play a critical role in advancing and transforming HHS headquarters into a data-driven culture while ensuring optimal use of data to produce evidence-based policymaking and improvements of operations. Prior to joining HHS, I served in the White House for 3 years across 2 Administrations, first working as a Policy Advisor to the U.S. Chief Technology Advisor in the Office of Science and Technology Policy (OSTP), and then as a Senior Policy Analyst in the Office of Management and Budget (OMB).
Data-Driven Innovation for COVID-19(Business Talk)
Daniel Gray
Daniel Gray brings rich experience in technical solutions engineering as well as software engineering to his work with global enterprise organizations. Prior to joining AtScale to lead the Solutions Engineering team, Daniel spent many years in the analytics space including Hewlett-Packard’s Advanced Technology Center, Vertica, and Domino Data Lab. When he’s not in the office or onsite with customers, you’ll find Daniel running, climbing, hiking, and biking – basically anything outdoors.
See How AtScale’s Semantic Layer Impacts BI & AI Performance on Popular Cloud Data Platforms(Demo Talk)
Carey Phelps
Carey is the head of product at Weights & Biases. She studied computer science at Stanford and went on to found Carta Healthcare before joining Weights & Biases.
Best Practices of Effective ML Teams(Demo Talk)
Robert Schroll, PhD
Robert Schroll is a data scientist in residence at the Data Incubator. Previously, he held postdocs in Amherst, Massachusetts, and Santiago, Chile, where he realized that his favorite parts of his job were teaching and analyzing data. He made the switch to data science and has been at the Data Incubator since. Robert holds a PhD in physics from the University of Chicago.
Teaching Data Science Effectively(Demo Talk)
Vincent Caldeira
Vincent Caldeira is Chief Financial Services Technologist at Red Hat in APAC. In this role, he is primarily responsible for supporting financial services customers in defining their digital transformation roadmap while using Red Hat® thought leadership and engineering capabilities in the implementation of open standards, open source, and open architecture on their journey. With more than 11 years in the banking sector shaping target architecture and technology roadmaps, Vincent has driven talented engineering teams to build, integrate, and operate critical technology platforms. Vincent has also spent more than 9 years in the financial technology sector building an award-winning track record for delivering cloud-based, innovative software solutions.
Unlocking Climate-Related Data Through Open Source and Data Mesh Architecture(Track Keynote)
Previous AI Expo Demo Hall & Talks Schedule
Keynote | In-Person | Responsible Ai
I will argue that Turing was right to express concern but wrong to think that doom is inevitable. Instead, we need to develop a new kind of AI that is provably beneficial to humans…more details
Stuart Russell is a Professor of Computer Science at the University of California at Berkeley, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI. He is a recipient of the IJCAI Computers and Thought Award and held the Chaire Blaise Pascal in Paris. In 2021 he received the OBE from Her Majesty Queen Elizabeth and gave the Reith Lectures. He is an Honorary Fellow of Wadham College, Oxford, an Andrew Carnegie Fellow, and a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His book “Artificial Intelligence: A Modern Approach” (with Peter Norvig) is the standard text in AI, used in 1500 universities in 135 countries. His research covers a wide range of topics in artificial intelligence, with a current emphasis on the long-term future of artificial intelligence and its relation to humanity. He has developed a new global seismic monitoring system for the nuclear-test-ban treaty and is currently working to ban lethal autonomous weapons.
Keynote | Virtual | Machine Learning | All Levels
In this talk, I’ll present a framework, anchored on three pillars: Clarity, Competence and Alignment. For each, I’ll describe algorithmic and human processes that can help drive towards more effective, impactful and trustworthy AIs…more details
Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi. Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.
Keynote | Virtual | MLOps & Data Engineering | All Levels
Today, there’s an increasing shift to large models like OpenAI’s GPT-3 and Codex. These models are trained once and then applied flexibly to a wide variety of downstream applications. OpenAI’s API lets all builders, from non-developers to ML experts, go from building a compelling prototype in 5 minutes to scaling customized models to production-level loads…more details
Dom Divakaruni is Group Product Manager with Microsoft’s Azure AI Platform, where he is responsible for services that help customers build the next generation of apps, like GitHub Copilot – powered by OpenAI’s GPT-3 and Codex models. Previously, he led Product for AWS AI services like Inferencia and Elastic Inference and initiatives like Apache MXNet. Dom has a degree in Electrical Engineering from the University of Maryland.
Peter Welinder is VP of Product and Partnerships at OpenAI. He leads commercialization of OpenAI’s research, including OpenAI’s GPT-3 and Codex API and the Github Copilot partnership. Previously, he founded and led applied machine learning engineering and product at Dropbox. He was co-founder and CEO of Anchovi Labs (acquired by Dropbox). Peter has a PhD in Computation and Neural Systems from Caltech and a degree in Physics from Imperial College London.
Keynote | Virtual
In this keynote, we will discuss Intel’s research in different applications as well as robust and ethical perception utilizing multi-modal sensing and sensemaking and probabilistic computing…more details
Lama Nachman is an Intel Fellow and Director of Human & AI Systems Lab in Intel Labs. Her research is focused on creating contextually aware experiences that understand users through sensing and sense making, anticipate their needs and act on their behalf. She leads a multi-disciplinary team of researchers that explore new user experiences, sensing systems, algorithms and applications and transfer these capabilities to biz units to impact future Intel products. Lama has 23 years of experience in the areas of context aware computing, multi-modal interactions, sensor networks, computer architecture, embedded systems and wireless technologies. Previous assignments at Intel involved researching and developing the next generation of self-organizing sensor network nodes (Intel Mote Platforms). She deployed these technologies in health applications as well as various commercial and industrial settings. Prior to joining Intel, Lama has held senior positions at Ubicom Inc, Weave Innovations and Microsoft Corporation. Lama received her MS and BS in computer engineering at the University of Wisconsin-Madison.
Keynote | Virtual
The applications for data science in today’s world are limitless. Data users are discovering new ways of solving the world’s most challenging problems, and Z by HP’s focus is to provide them with the most advanced and innovative tools to push the boundaries of what’s possible. From Edge Compute to partnering with Microsoft to offer WSL2, you can count on Z by HP to be a leader in charting a course for the future of data science….more details
Bruce is an HP Fellow and Chief Technologist for the Advanced Compute & Solutions Business Unit in HP Personal Systems. His focus is on innovation and the development of new growth opportunities. Bruce joined HP in 1985 to work on the then-emerging field of 3D graphics acceleration and architected the first GPU design to run inside a window system. Most of his career has been in the Workstation business, from the early RISC-based days to current PC-based approach. He has championed many new innovations including DreamColor monitors (which won a technical Oscar award!), HP Remote Boost (RGS) collaboration software (which won an engineering Emmy award!), Linux based workstations, and many more. His current focus areas are Hybrid Edge Computing, Blockchain-based Security, Data Science, & AI.
As the Z by HP data science segment lead, Andrew is dedicated to establishing key partnerships in the data science, AI, and machine learning space while working with colleagues to bring innovative solutions to market. When not working, you can usually find him hiking with his family, shooting photos on 35mm film, or speaking about North Korea at places like Facebook, Google Ideas, Creative Mornings and university campuses.
Demo Talk | Virtual
In this presentation, we will cover what an online feature store is, how it works and why it provides such an advantage in developing, deploying and monitoring AI in real business environments…more details
Adi Hirschtein brings 20 years of experience as an executive, product manager and entrepreneur building and driving innovation in technology companies. As the VP of Product at Iguazio, the MLOps platform built for production and real-time use cases, he leads the product roadmap and strategy. His previous roles spanned technology companies such as Dell EMC, Zettapoint and InfraGate, in diverse positions including product management, business development, marketing, sales and execution, with a strong focus on machine learning, database and storage technology. When working with startups and corporates, Adi’s passion lies in taking a team’s ideas from their very first day, through a successful market penetration, all the way to an established business. Adi holds a B.A. in Business Administration and Information Technology from the College of Management Academic Studies.
Demo Talk | Virtual | Machine Learning | All Levels
In this demo, you’ll see how to:
· Run machine learning (ML) or data science tasks outside of your notebook sessions in JupyterLab
· Operationalize discrete data science and machine learning tasks as reusable, runnable operations
· Automate your typical MLOps or CI/CD pipeline
· Execute batches or workloads triggered by events or actions
· Create batch, mini batch, or distributed batch job inference…more details
Demo Talk | In-Person
Join us for a demo of Neo4j’s enterprise-ready graph data platform and see firsthand how easy it is to start using the world’s most widely deployed graph database…more details
As a member of the Neo4j Field Engineering team, Stuart brings 15 years of experience helping many Global 2000 organizations solve their business challenges leveraging semantic technologies, natural language processing, search and graphs. In addition, he has experience across a wide range of industries, including healthcare, finance, manufacturing and retail. Based in the Bay Area, Stuart works with large enterprise companies including Wells Fargo, eBay, Visa, Adobe, Genentech, Kaiser and Cisco.
Demo Talk | Virtual
During this session, attendees will have the opportunity to learn more about the Trustworthy Decision Management concept and see how it can be applied to Decision Managed and Hyperautomation solutions that run natively in the cloud…more details
Jacopo Is a Senior Software Engineer at Red Hat, where he contributes to TrustyAI development and other Red Hat Cloud platform services. Jacopo graduated in Computer Science at the University of Milan with a thesis on the regret minimization for reserve prices in Second-Price auctions. Before joining Red Hat, Jacopo worked for one of the largest reinsurance companies on a white label telematics product for the motor insurance market distributed worldwide.
Demo Talk | Virtual | Machine Learning | All Levels
In this talk, we discuss recent advances in AutoFE and AutoML, enabling automated data preparation starting with multiple raw tables, and the containerization of the end-to-end pipeline, providing a portable environment for both development and deployment…more details
Demo Talk | In-Person
The demo will consist of analyzing mobile packet data collected over a month and a half span comprising of 500M records. We will be leveraging OmniSci Immerse to gain interactive analytics both over space and time…more details
Joe is a Solutions Engineer at OmniSci with a focus on Data Science. Previously he was at Ford Motor Company on their Autonomous Vehicle team where he was responsible for mass decoding efforts and aiding in design for their data lake and Apache Spark processing architecture. After that he was part of the team tasked with developing the algorithm for Ford’s BlueCruise road classification system. Joe has over 4 years of experience in the Data Science and Data Engineering space and over 10 years of experience in various aspects of IT.
Demo Talk | Virtual | Big Data Analytics | All Levels
In this session, we’ll do a deep dive into a couple of real-world case studies to walk you through the challenges that these companies faced and how they used weak supervision with Snorkel to solve them…more details
Demo Talk | Virtual
This talk will explain the core features of the PyTorch Profiler, including some of the new features in PyTorch 1.9 and 1.10. We will illustrate how the profiler can be used to quickly locate and address some common bottlenecks…more details
Sabrina Smai is a Product Manager in Microsoft’s AI Frameworks team. She works with all things PyTorch and ONNX Runtime.
Demo Talk | Virtual
Learn how AtScale’s semantic layer works and why companies like Wayfair, The Home Depot, Fidelity, Cigna, and Tyson Foods use it for speed-of-thought query performance and consistent KPIs across their BI/AI tools on popular cloud data platforms. You’ll see why a semantic layer is important and how AtScale pays for itself many times over by reducing costs by 2-16x and improving query performance and user concurrency by 11-31x…more details
Daniel Gray brings rich experience in technical solutions engineering as well as software engineering to his work with global enterprise organizations. Prior to joining AtScale to lead the Solutions Engineering team, Daniel spent many years in the analytics space including Hewlett-Packard’s Advanced Technology Center, Vertica, and Domino Data Lab. When he’s not in the office or onsite with customers, you’ll find Daniel running, climbing, hiking, and biking – basically anything outdoors.
Demo Talk | In-Person
During this presentation you’ll see a live demonstration of how Workbench, in conjunction with ESG data, is making it easier to navigate the waters of new ESG regulations along with helping organizations quantify ESG-related risk…more details
James Olejniczak is a Product Manager within the Data Management Solutions product management team at S&P Global Market Intelligence. He leads multiple teams in developing visualizations for the S&P Global Marketplace platform. As a Business Intelligence (BI) tool expert, Mr. Olejniczak is responsible for guiding initiatives and assisting clients in bridging the gap between highly structured data and data structured for optimized BI ingestion. Preceding his role in Product Management, James has a vast spectrum of experience in his eight years at S&P Global from fundamental data collection to the onboarding and continued support of feed clients. Mr. Olejniczak holds a bachelor’s degree in business finance from the Metropolitan State University of Denver.
Demo Talk | Virtual
In this technical demo, you will walk away with the following:
Key components of a metrics store all the way from the defining metrics in code to creating a knowledge base around the metrics, such as adding annotations and asking questions of metric owners.
Enabling integrations with upstream and downstream tools to eliminate secondary sources of truth.
Building a level of trust and transparency with internal business partners…more details
Allegra Holland is a Go-to-Market strategist at Transform; a Series-A startup focused on making data accessible within an organization through metrics. She was previously at Looker (acquired by Google), where she started as a data analyst and then explored several customer-facing roles in Support, Professional Services, and Customer Success. Beyond the world of data, Allegra enjoys surfing, backpacking, or playing with her puppy Finley.
Demo Talk | Virtual | Machine Learning | All Levels
Join us for a technical deep dive of Vertica Accelerator, our automated software as a service (SaaS) offering built on Vertica in Eon Mode’s cloud-optimized architecture, leveraging S3 Object Storage on AWS. Hear how you can deliver analytics at top speed from start to finish with highest performance at extreme scale – all with the right level of resourcing, management, and control for each of your analytical use cases…more details
Pranjal Singh has been a Data Scientist at Vertica since May 2020. Prior to joining Vertica, Pranjal received his Bachelor’s degree in Data Science from Northeastern University in Boston, MA. He has experience with Software Engineering, Data Analytics, and Machine Learning. Pranjal has a passion for ML and Predictive Analytics, and helping organizations make better decisions with data. He’s an avid sports fan, with a special interest in sports analytics and data.
Demo Talk | In-Person
Gabriel will leverage the Arize performance dashboard to take a step deeper into root cause analysis, and highlight feature drift and prediction drift impact. Utilize the Arize platform to surface issues easily, troubleshoot the root cause, and quickly resolve and improve your models as they go from research to production…more details
Demo Talk | Virtual
Z by HP and its curated software stack offers a full data science solution. With the enhancements of WSL 2, Z by HP’s already-powerful portfolio now elevates new levels of productivity to remove limitations in your workflows…more details
Lenny Isler has been with HP for 8 years, 6 of them in the public sector area. Lenny has been a sales generalist, a Z workstation Specialist and a Business Development Manager while at HP. Lenny has extensive knowledge in high performance computing, data Science, Ai and machine learning.
Demo Talk | In-Person | MLOps & Data Engineering | All Levels
In the product demo users will learn how to:
1. Integrate a data source.
2. Upload a model or build a model in Datagran.
3. Understand model performance.
4. Send the output to business applications…more details
Demo Talk | In-Person| Machine Learning
This demonstration of forthcoming LiveRamp capabilities shows how safe and seamless collaboration between trusted parties is made possible by leveraging Federated SQL. We’ll share how these capabilities can be used by companies, such as retailers and their suppliers, to work collaboratively toward common goals…more details
Grzegorz (Greg) Gawron, MScEng, is a Staff Software Engineer at LiveRamp. He is focused on practical applications of differential privacy and other privacy-enhancing technologies, continuing his work from DataFleets, which was acquired by LiveRamp in February 2021. During his recent engagement at the IQSS/Harvard OpenDP Fellows program, he explored the privacy implications of split learning. He obtained his Master’s degree in computer science and has a Master’s degree in economics from Warsaw University in Poland. He is currently working toward a computer science PhD at AGH University of Science and Technology in Krakow.
Demo Talk | Virtual
In this talk, we’ll discuss why you can never seem to find that single perfect system, and how to think about and evaluate the capabilities of various systems through the prism of a temperature-based spectrum of use cases, from cold to hot analytics…more details
Zeke Dean is a highly experienced streaming analytics architect with expertise in both Kafka and Apache Druid. He is an expert at wearing multiple hats to satisfy customers in their specific roles and has delivered highly scalable code and distributed systems. He has numerous years of experience building big data systems for enterprises all over the world — from banks in the Middle East and India to major publishing houses in the United States and a payment platform in Japan. He now works with businesses to solve their analytics requirements on streaming data using the Imply analytics in motion platform based on Apache Druid.
Demo Talk | In-Person | Machine Learning | All Levels
What does it take to get the best model into production? We’ve seen industry-leading ML teams follow some of the same common workflows for dataset management, experimentation, and model management. I’ll share case studies from customers across industries, outline best practices, and dive into tools and solutions for common pain points…more details
Carey is the head of product at Weights & Biases. She studied computer science at Stanford and went on to found Carta Healthcare before joining Weights & Biases.
Demo Talk | Virtual | MLOps & Data Engineering | All Levels
In this talk, lead field engineer Anthony Lee will provide a live demo of the Verta’s core capabilities including Model Management, Experiment Tracking, Production Registry, Deployment for Inference & Serving, and Model Monitoring…more details
Demo Talk | In-Person | MLOps & Data Engineering | All Levels
During this session you’ll see a DataRobot model factory that produces 100s of fully specified, deployable machine learning pipeline, selects the top 10 and deploys them each with a single command. Don’t fear that extreme automation requires sacrificing model quality. DataRobot full autopilot models regularly outperform meticulously hand-coded models in an apples-to-apples bake off — in hours versus months of effort…more details
Demo Talk | Virtual | MLOps & Data Engineering | All Levels
We will discuss why the cultural shift from “How fast can I find and fix pipeline issues?” to “How can I prevent 90% of my pipeline issues from occurring in the first place?” is critical to achieving consistent data quality. This talk also explains why data engineers and scientists need to undertake this cultural shift in thinking before seeking out tooling (and not the other way around)…more details
Demo Talk | In-Person
In this session, Sam Dillard will go over why a time series platform, rather than a relational database, should be used for AI and ML. He will walk us through the core concepts of time series databases, share use cases and give us a quick overview of the InfluxDB platform…more details
Sam Dillard is a Senior Product Manager at InfluxData. He is passionate about making customers successful with their solutions as well as continuously updating his technical skills. Sam has a BS in Economics from Santa Clara University.
Demo Talk | In-Person
In this presentation, we will highlight key components of our curriculum and discuss some of the challenges we seen along the way of teaching…more details
Robert Schroll is a data scientist in residence at the Data Incubator. Previously, he held postdocs in Amherst, Massachusetts, and Santiago, Chile, where he realized that his favorite parts of his job were teaching and analyzing data. He made the switch to data science and has been at the Data Incubator since. Robert holds a PhD in physics from the University of Chicago.
Demo Talk | In-Person
In this talk, we’ll show you how to harness the power of Dask with Saturn Cloud…more details
Mitali is a Senior Data Scientist at SaturnCloud. She has over 7 years of experience in software engineering and business analysis at Oracle and Accenture. Mitali holds a masters in Computer Science. Outside of work she likes running and hiking.
Keynote | In-Person | Responsible Ai
I will argue that Turing was right to express concern but wrong to think that doom is inevitable. Instead, we need to develop a new kind of AI that is provably beneficial to humans…more details
Stuart Russell is a Professor of Computer Science at the University of California at Berkeley, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI. He is a recipient of the IJCAI Computers and Thought Award and held the Chaire Blaise Pascal in Paris. In 2021 he received the OBE from Her Majesty Queen Elizabeth and gave the Reith Lectures. He is an Honorary Fellow of Wadham College, Oxford, an Andrew Carnegie Fellow, and a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His book “Artificial Intelligence: A Modern Approach” (with Peter Norvig) is the standard text in AI, used in 1500 universities in 135 countries. His research covers a wide range of topics in artificial intelligence, with a current emphasis on the long-term future of artificial intelligence and its relation to humanity. He has developed a new global seismic monitoring system for the nuclear-test-ban treaty and is currently working to ban lethal autonomous weapons.
Keynote | Virtual | Machine Learning | All Levels
In this talk, I’ll present a framework, anchored on three pillars: Clarity, Competence and Alignment. For each, I’ll describe algorithmic and human processes that can help drive towards more effective, impactful and trustworthy AIs…more details
Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi. Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.
Keynote | Virtual | MLOps & Data Engineering | All Levels
Today, there’s an increasing shift to large models like OpenAI’s GPT-3 and Codex. These models are trained once and then applied flexibly to a wide variety of downstream applications. OpenAI’s API lets all builders, from non-developers to ML experts, go from building a compelling prototype in 5 minutes to scaling customized models to production-level loads…more details
Dom Divakaruni is Group Product Manager with Microsoft’s Azure AI Platform, where he is responsible for services that help customers build the next generation of apps, like GitHub Copilot – powered by OpenAI’s GPT-3 and Codex models. Previously, he led Product for AWS AI services like Inferencia and Elastic Inference and initiatives like Apache MXNet. Dom has a degree in Electrical Engineering from the University of Maryland.
Peter Welinder is VP of Product and Partnerships at OpenAI. He leads commercialization of OpenAI’s research, including OpenAI’s GPT-3 and Codex API and the Github Copilot partnership. Previously, he founded and led applied machine learning engineering and product at Dropbox. He was co-founder and CEO of Anchovi Labs (acquired by Dropbox). Peter has a PhD in Computation and Neural Systems from Caltech and a degree in Physics from Imperial College London.
Keynote | Virtual
In this keynote, we will discuss Intel’s research in different applications as well as robust and ethical perception utilizing multi-modal sensing and sensemaking and probabilistic computing…more details
Lama Nachman is an Intel Fellow and Director of Human & AI Systems Lab in Intel Labs. Her research is focused on creating contextually aware experiences that understand users through sensing and sense making, anticipate their needs and act on their behalf. She leads a multi-disciplinary team of researchers that explore new user experiences, sensing systems, algorithms and applications and transfer these capabilities to biz units to impact future Intel products. Lama has 23 years of experience in the areas of context aware computing, multi-modal interactions, sensor networks, computer architecture, embedded systems and wireless technologies. Previous assignments at Intel involved researching and developing the next generation of self-organizing sensor network nodes (Intel Mote Platforms). She deployed these technologies in health applications as well as various commercial and industrial settings. Prior to joining Intel, Lama has held senior positions at Ubicom Inc, Weave Innovations and Microsoft Corporation. Lama received her MS and BS in computer engineering at the University of Wisconsin-Madison.
Keynote | Virtual
The applications for data science in today’s world are limitless. Data users are discovering new ways of solving the world’s most challenging problems, and Z by HP’s focus is to provide them with the most advanced and innovative tools to push the boundaries of what’s possible. From Edge Compute to partnering with Microsoft to offer WSL2, you can count on Z by HP to be a leader in charting a course for the future of data science….more details
Bruce is an HP Fellow and Chief Technologist for the Advanced Compute & Solutions Business Unit in HP Personal Systems. His focus is on innovation and the development of new growth opportunities. Bruce joined HP in 1985 to work on the then-emerging field of 3D graphics acceleration and architected the first GPU design to run inside a window system. Most of his career has been in the Workstation business, from the early RISC-based days to current PC-based approach. He has championed many new innovations including DreamColor monitors (which won a technical Oscar award!), HP Remote Boost (RGS) collaboration software (which won an engineering Emmy award!), Linux based workstations, and many more. His current focus areas are Hybrid Edge Computing, Blockchain-based Security, Data Science, & AI.
As the Z by HP data science segment lead, Andrew is dedicated to establishing key partnerships in the data science, AI, and machine learning space while working with colleagues to bring innovative solutions to market. When not working, you can usually find him hiking with his family, shooting photos on 35mm film, or speaking about North Korea at places like Facebook, Google Ideas, Creative Mornings and university campuses.
Demo Talk | Virtual
In this presentation, we will cover what an online feature store is, how it works and why it provides such an advantage in developing, deploying and monitoring AI in real business environments…more details
Adi Hirschtein brings 20 years of experience as an executive, product manager and entrepreneur building and driving innovation in technology companies. As the VP of Product at Iguazio, the MLOps platform built for production and real-time use cases, he leads the product roadmap and strategy. His previous roles spanned technology companies such as Dell EMC, Zettapoint and InfraGate, in diverse positions including product management, business development, marketing, sales and execution, with a strong focus on machine learning, database and storage technology. When working with startups and corporates, Adi’s passion lies in taking a team’s ideas from their very first day, through a successful market penetration, all the way to an established business. Adi holds a B.A. in Business Administration and Information Technology from the College of Management Academic Studies.
Demo Talk | Virtual | Machine Learning | All Levels
In this demo, you’ll see how to:
· Run machine learning (ML) or data science tasks outside of your notebook sessions in JupyterLab
· Operationalize discrete data science and machine learning tasks as reusable, runnable operations
· Automate your typical MLOps or CI/CD pipeline
· Execute batches or workloads triggered by events or actions
· Create batch, mini batch, or distributed batch job inference…more details
Demo Talk | In-Person
Join us for a demo of Neo4j’s enterprise-ready graph data platform and see firsthand how easy it is to start using the world’s most widely deployed graph database…more details
As a member of the Neo4j Field Engineering team, Stuart brings 15 years of experience helping many Global 2000 organizations solve their business challenges leveraging semantic technologies, natural language processing, search and graphs. In addition, he has experience across a wide range of industries, including healthcare, finance, manufacturing and retail. Based in the Bay Area, Stuart works with large enterprise companies including Wells Fargo, eBay, Visa, Adobe, Genentech, Kaiser and Cisco.
Demo Talk | Virtual
During this session, attendees will have the opportunity to learn more about the Trustworthy Decision Management concept and see how it can be applied to Decision Managed and Hyperautomation solutions that run natively in the cloud…more details
Jacopo Is a Senior Software Engineer at Red Hat, where he contributes to TrustyAI development and other Red Hat Cloud platform services. Jacopo graduated in Computer Science at the University of Milan with a thesis on the regret minimization for reserve prices in Second-Price auctions. Before joining Red Hat, Jacopo worked for one of the largest reinsurance companies on a white label telematics product for the motor insurance market distributed worldwide.
Demo Talk | Virtual | Machine Learning | All Levels
In this talk, we discuss recent advances in AutoFE and AutoML, enabling automated data preparation starting with multiple raw tables, and the containerization of the end-to-end pipeline, providing a portable environment for both development and deployment…more details
Demo Talk | In-Person
The demo will consist of analyzing mobile packet data collected over a month and a half span comprising of 500M records. We will be leveraging OmniSci Immerse to gain interactive analytics both over space and time…more details
Joe is a Solutions Engineer at OmniSci with a focus on Data Science. Previously he was at Ford Motor Company on their Autonomous Vehicle team where he was responsible for mass decoding efforts and aiding in design for their data lake and Apache Spark processing architecture. After that he was part of the team tasked with developing the algorithm for Ford’s BlueCruise road classification system. Joe has over 4 years of experience in the Data Science and Data Engineering space and over 10 years of experience in various aspects of IT.
Demo Talk | Virtual | Big Data Analytics | All Levels
In this session, we’ll do a deep dive into a couple of real-world case studies to walk you through the challenges that these companies faced and how they used weak supervision with Snorkel to solve them…more details
Demo Talk | Virtual
This talk will explain the core features of the PyTorch Profiler, including some of the new features in PyTorch 1.9 and 1.10. We will illustrate how the profiler can be used to quickly locate and address some common bottlenecks…more details
Sabrina Smai is a Product Manager in Microsoft’s AI Frameworks team. She works with all things PyTorch and ONNX Runtime.
Demo Talk | Virtual
Learn how AtScale’s semantic layer works and why companies like Wayfair, The Home Depot, Fidelity, Cigna, and Tyson Foods use it for speed-of-thought query performance and consistent KPIs across their BI/AI tools on popular cloud data platforms. You’ll see why a semantic layer is important and how AtScale pays for itself many times over by reducing costs by 2-16x and improving query performance and user concurrency by 11-31x…more details
Daniel Gray brings rich experience in technical solutions engineering as well as software engineering to his work with global enterprise organizations. Prior to joining AtScale to lead the Solutions Engineering team, Daniel spent many years in the analytics space including Hewlett-Packard’s Advanced Technology Center, Vertica, and Domino Data Lab. When he’s not in the office or onsite with customers, you’ll find Daniel running, climbing, hiking, and biking – basically anything outdoors.
Demo Talk | In-Person
During this presentation you’ll see a live demonstration of how Workbench, in conjunction with ESG data, is making it easier to navigate the waters of new ESG regulations along with helping organizations quantify ESG-related risk…more details
James Olejniczak is a Product Manager within the Data Management Solutions product management team at S&P Global Market Intelligence. He leads multiple teams in developing visualizations for the S&P Global Marketplace platform. As a Business Intelligence (BI) tool expert, Mr. Olejniczak is responsible for guiding initiatives and assisting clients in bridging the gap between highly structured data and data structured for optimized BI ingestion. Preceding his role in Product Management, James has a vast spectrum of experience in his eight years at S&P Global from fundamental data collection to the onboarding and continued support of feed clients. Mr. Olejniczak holds a bachelor’s degree in business finance from the Metropolitan State University of Denver.
Demo Talk | Virtual
In this technical demo, you will walk away with the following:
Key components of a metrics store all the way from the defining metrics in code to creating a knowledge base around the metrics, such as adding annotations and asking questions of metric owners.
Enabling integrations with upstream and downstream tools to eliminate secondary sources of truth.
Building a level of trust and transparency with internal business partners…more details
Allegra Holland is a Go-to-Market strategist at Transform; a Series-A startup focused on making data accessible within an organization through metrics. She was previously at Looker (acquired by Google), where she started as a data analyst and then explored several customer-facing roles in Support, Professional Services, and Customer Success. Beyond the world of data, Allegra enjoys surfing, backpacking, or playing with her puppy Finley.
Demo Talk | Virtual | Machine Learning | All Levels
Join us for a technical deep dive of Vertica Accelerator, our automated software as a service (SaaS) offering built on Vertica in Eon Mode’s cloud-optimized architecture, leveraging S3 Object Storage on AWS. Hear how you can deliver analytics at top speed from start to finish with highest performance at extreme scale – all with the right level of resourcing, management, and control for each of your analytical use cases…more details
Pranjal Singh has been a Data Scientist at Vertica since May 2020. Prior to joining Vertica, Pranjal received his Bachelor’s degree in Data Science from Northeastern University in Boston, MA. He has experience with Software Engineering, Data Analytics, and Machine Learning. Pranjal has a passion for ML and Predictive Analytics, and helping organizations make better decisions with data. He’s an avid sports fan, with a special interest in sports analytics and data.
Demo Talk | In-Person
Gabriel will leverage the Arize performance dashboard to take a step deeper into root cause analysis, and highlight feature drift and prediction drift impact. Utilize the Arize platform to surface issues easily, troubleshoot the root cause, and quickly resolve and improve your models as they go from research to production…more details
Demo Talk | Virtual
Z by HP and its curated software stack offers a full data science solution. With the enhancements of WSL 2, Z by HP’s already-powerful portfolio now elevates new levels of productivity to remove limitations in your workflows…more details
Lenny Isler has been with HP for 8 years, 6 of them in the public sector area. Lenny has been a sales generalist, a Z workstation Specialist and a Business Development Manager while at HP. Lenny has extensive knowledge in high performance computing, data Science, Ai and machine learning.
Demo Talk | In-Person | MLOps & Data Engineering | All Levels
In the product demo users will learn how to:
1. Integrate a data source.
2. Upload a model or build a model in Datagran.
3. Understand model performance.
4. Send the output to business applications…more details
Demo Talk | In-Person| Machine Learning
This demonstration of forthcoming LiveRamp capabilities shows how safe and seamless collaboration between trusted parties is made possible by leveraging Federated SQL. We’ll share how these capabilities can be used by companies, such as retailers and their suppliers, to work collaboratively toward common goals…more details
Grzegorz (Greg) Gawron, MScEng, is a Staff Software Engineer at LiveRamp. He is focused on practical applications of differential privacy and other privacy-enhancing technologies, continuing his work from DataFleets, which was acquired by LiveRamp in February 2021. During his recent engagement at the IQSS/Harvard OpenDP Fellows program, he explored the privacy implications of split learning. He obtained his Master’s degree in computer science and has a Master’s degree in economics from Warsaw University in Poland. He is currently working toward a computer science PhD at AGH University of Science and Technology in Krakow.
Demo Talk | Virtual
In this talk, we’ll discuss why you can never seem to find that single perfect system, and how to think about and evaluate the capabilities of various systems through the prism of a temperature-based spectrum of use cases, from cold to hot analytics…more details
Zeke Dean is a highly experienced streaming analytics architect with expertise in both Kafka and Apache Druid. He is an expert at wearing multiple hats to satisfy customers in their specific roles and has delivered highly scalable code and distributed systems. He has numerous years of experience building big data systems for enterprises all over the world — from banks in the Middle East and India to major publishing houses in the United States and a payment platform in Japan. He now works with businesses to solve their analytics requirements on streaming data using the Imply analytics in motion platform based on Apache Druid.
Demo Talk | In-Person | Machine Learning | All Levels
What does it take to get the best model into production? We’ve seen industry-leading ML teams follow some of the same common workflows for dataset management, experimentation, and model management. I’ll share case studies from customers across industries, outline best practices, and dive into tools and solutions for common pain points…more details
Carey is the head of product at Weights & Biases. She studied computer science at Stanford and went on to found Carta Healthcare before joining Weights & Biases.
Demo Talk | Virtual | MLOps & Data Engineering | All Levels
In this talk, lead field engineer Anthony Lee will provide a live demo of the Verta’s core capabilities including Model Management, Experiment Tracking, Production Registry, Deployment for Inference & Serving, and Model Monitoring…more details
Demo Talk | In-Person | MLOps & Data Engineering | All Levels
During this session you’ll see a DataRobot model factory that produces 100s of fully specified, deployable machine learning pipeline, selects the top 10 and deploys them each with a single command. Don’t fear that extreme automation requires sacrificing model quality. DataRobot full autopilot models regularly outperform meticulously hand-coded models in an apples-to-apples bake off — in hours versus months of effort…more details
Demo Talk | Virtual | MLOps & Data Engineering | All Levels
We will discuss why the cultural shift from “How fast can I find and fix pipeline issues?” to “How can I prevent 90% of my pipeline issues from occurring in the first place?” is critical to achieving consistent data quality. This talk also explains why data engineers and scientists need to undertake this cultural shift in thinking before seeking out tooling (and not the other way around)…more details
Demo Talk | In-Person
In this session, Sam Dillard will go over why a time series platform, rather than a relational database, should be used for AI and ML. He will walk us through the core concepts of time series databases, share use cases and give us a quick overview of the InfluxDB platform…more details
Sam Dillard is a Senior Product Manager at InfluxData. He is passionate about making customers successful with their solutions as well as continuously updating his technical skills. Sam has a BS in Economics from Santa Clara University.
Demo Talk | In-Person
In this presentation, we will highlight key components of our curriculum and discuss some of the challenges we seen along the way of teaching…more details
Robert Schroll is a data scientist in residence at the Data Incubator. Previously, he held postdocs in Amherst, Massachusetts, and Santiago, Chile, where he realized that his favorite parts of his job were teaching and analyzing data. He made the switch to data science and has been at the Data Incubator since. Robert holds a PhD in physics from the University of Chicago.
Demo Talk | In-Person
In this talk, we’ll show you how to harness the power of Dask with Saturn Cloud…more details
Mitali is a Senior Data Scientist at SaturnCloud. She has over 7 years of experience in software engineering and business analysis at Oracle and Accenture. Mitali holds a masters in Computer Science. Outside of work she likes running and hiking.
Schedule will be updated frequently. More sessions coming soon.
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