Machine Learning Lifecycle 2021 Conference

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January 26, 2021
  - January 28, 2021
  • About
  • Agenda
  • Sessions
  • Speakers
  • Sponsors & Partners
  • FAQ

Cognilytica’s Machine Learning Lifecycle Virtual Conference is a three day online experience January 26-28, 2021 focused on the machine learning lifecycle including ML Operations, building models, and model management! We’ve found virtual conferences that try to recreate the experience of in-person events really miss the mark. Cognilytica’s Machine Learning Lifecycle for AI Conference is different – and so much better! Over the course of three days the event will combine live webinar-style panel engagements with pre-recorded presentations, opportunities to connect with speakers and sponsors through “ask-me-anything” style expert sessions, demo showcases, and unique experiences for attendees, speakers, sponsors, and all participants.

Content is meant to be consumed around your schedule, not a predetermined schedule created for you. Main focus areas are around government, technology, and industry and main topic areas will be on ML model development, ML model management, MLOps, ML model governance, and general sessions.

WHERE: Online

WHEN: Tuesday through Thursday, Jan. 26-28, 2021

HOW MUCH: FREE to Attend

Five Topics:
  • ML Model Development
  • ML Model Management
  • ML Operations (MLOps)
  • ML Model Governance
  • All other Model-related Topics
Three Tracks:
  • Industry Applications
  • Government and Public Sector Sessions
  • Technology Deep Dives

All times listed are US Eastern Time Zone (ET)

  • On Demand


  • The AI revolution is here, but it has demands. AI needs clean, contextual data in the proper format to do its job. Too often, though, that process of cleaning and contextualizing takes an extraordinary amount of time—time that could be spent refining your predictive models.
    View Session Details

  • Watch the demo to see how DataRobot’s automated machine learning platform combines predictive modeling expertise with the best practices of data science to deliver accurate and actionable predictions with full transparency and interoperability.
    View Session Details

  • This session shows how to use DataRobot’s Automated Time Series. DataRobot builds for the preprocessing and construction of sophisticated time series models that predict the future values of a data series based on its history and trend.
    View Session Details

  • How to level up your modeling after running Autopilot. Learn about new techniques, algorithms, and features that DataRobot makes available to improve your models.
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  • Understand how DataRobot can enhance your workflow and how to use DataRobot to more efficiently perform the most common types of business analyses.
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  • Watch the demo to see a real-time demonstration of our AI Powered transcription, redaction, and facial recognition capabilities.
    View Session Details

  • Tue January 26, 2021

    [Day 1]

  • In this opening session we'll share some insights into what will be presented throughout the conference, including both live sessions as well as on-demand sessions. We will also answer the question: What is the Machine Learning Lifecycle? And also discuss why is there an event focused entirely around the whole Machine Learning lifecycle, as well as touch upon the five core topics areas of this event
    View Session Details

  • In this interactive panel hear from State Chief Data Officers (CDOs) on their perspectives on AI and data governance.
    View Session Details

  • This panel session will share how various different agencies are approaching and implementing AI technologies.
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  • Wed January 27, 2021

    [Day 2]

  • AI is transforming the federal workplace, allowing employees to work more productively and efficiently.
    View Session Details

  • In this interactive panel we’ll have folks from different agencies share how AI is impacting their organization and transforming their day to day work and talk about needs for enhancing AI skills in the government. 
    View Session Details

  • Thu January 28, 2021

    [Day 3]

  • This panel session will have enterprise experts discuss challenges in implementing data science in enterprise settings.
    View Session Details

  • In this panel, we hear how leading healthcare industry professionals are tackling the challenges of healthcare with AI.
    View Session Details

 

On Demand

Zorroa AI Demo Showcase: An introduction to no-code ML with Zorroa

On Demand

Machine learning has been playing a critical role in business transformations—but it is an incredibly expensive and inflexible process, even if you’re using off-the-shelf ML APIs. Watch the demo to learn how the Zorroa platform converts a process that is inherently costly, long, and unpredictable—as per course for data science—to one that is agile like …

Zorroa AI Demo Showcase: An introduction to no-code ML with Zorroa Read More »

Model development, Model Management,
Technology

Zorroa AI Demo Showcase: An introduction to no-code ML with Zorroa

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On Demand

Modzy: AI Demo Showcase

On Demand

What we are Demoing: AI offers great potential to enable cost savings, resource efficiencies, and better data-driven decision-making for organizations. Unfortunately, many organizations are struggling to see the return on their AI investments, because no easy way exists to get AI out of the lab into production at scale. Enter Modzy, enabling the secure deployment, …

Modzy: AI Demo Showcase Read More »

Model development, Model Management, ML Operations (MLOps), Model Governance, Demo Showcase,
Technology

Modzy: AI Demo Showcase

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On Demand

KNN classification with the Zorroa platform

On Demand

Pre-trained neural networks are great at classifying images, but the resulting taxonomy of keywords typically contain terms that are irrelevant in a production environment. Juan Buhler, Zorroa’s Sr. Data Science Engineer, shows how the Zorroa platform allows a user to very quickly create an image classifier that uses user-friendly keywords that the user can control. …

KNN classification with the Zorroa platform Read More »

Model development, Model Management,
Technology

KNN classification with the Zorroa platform

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On Demand

Accelerating innovation with the latest ML APIs

On Demand

While the move to pre-trained ML models eliminates the need to train a neural network from scratch, integrating it into your app or workflow still requires 10-12 months of development and upwards of $1M in investment. Danny Tiesling, Zorroa’s Product Manager, discusses how the Zorroa platform abstracts away the complexity to get up and running …

Accelerating innovation with the latest ML APIs Read More »

Model development, Model Management,
Technology

Accelerating innovation with the latest ML APIs

View Session
On Demand

Time-based metadata exploration

On Demand

Off the shelf algorithms are being used to accelerate ML development, but identifying and evaluating the predictions in hours-long video content is no easy task. To eliminate that manual task and accelerate development, Danny Tiesling, Zorroa’s Product Manager, demonstrates how their GUI-based workflow enables its user to pinpoint and compare Google Cloud, AWS, and Azure …

Time-based metadata exploration Read More »

Model development, Model Management,
Technology

Time-based metadata exploration

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On Demand

Multi-platfrom ML pipeline in under 5 minutes

On Demand

Barriers to AI/ML adoption is still high, even for the well-funded enterprise organizations. Danny Tiesling, Zorroa’s Product Manager, demos how to set up a multi-platform ML pipeline using pre-trained computer vision, NLP, and OCR models in under 5 minutes using Zorroa’s ML integration platform. He will demo how data ingest, ML implementation with GCP, AWS, …

Multi-platfrom ML pipeline in under 5 minutes Read More »

Model development
Technology

Multi-platfrom ML pipeline in under 5 minutes

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Live

Welcome to ML Lifecycle Conference and ‘What is the Machine Learning Lifecycle’?

Tue. January 26, 2021 @ 09:00 ET

In this opening session we'll share some insights into what will be presented throughout the conference, including both live sessions as well as on-demand sessions. We will also answer the question: What is the Machine Learning Lifecycle? And also discuss why is there an event focused entirely around the whole Machine Learning lifecycle, as well as touch upon the five core topics areas of this event

Day 1, General Sessions,
Technology

Welcome to ML Lifecycle Conference and ‘What is the Machine Learning Lifecycle’?

View Session
Live

Zorroa Ask an Expert Session

Wed. January 27, 2021 @ 12:30 ET

Join us for an Ask an Expert session with Zorroa’s data science engineer, principal architect, and product manager. The team will address questions around the emergence of no-code ML and how their platform is enabling ML experimentation and rapid development without requiring dedicated engineering teams.

Day 2, Model development, Expert Session,
Technology

Zorroa Ask an Expert Session

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Live

Getting Started with Experiment Management

Thu. January 28, 2021 @ 17:15 ET

We all know that machine learning is iterative, complex, and — at times — messy. Managing your experiments and automating the most tedious parts of the ML process are often the best place to start when it comes simplifying and making your job easier. This session will explore how experiment management can help you: Automatically …

Getting Started with Experiment Management Read More »

Day 3, Model development, Model Management, Model Governance,
Technology

Getting Started with Experiment Management

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Live

Making AI Work in Highly Regulated Industries

Wed. January 27, 2021 @ 16:00 ET

Discover what it takes to effectively deploy, manage, monitor, and secure AI for highly regulated industries. The talk will cover the tools you need to ensure that your teams are empowered to build and deploy trustworthy AI, all while providing you governance and audit capabilities to understand how and where AI is being used across …

Making AI Work in Highly Regulated Industries Read More »

Day 2, Model development, General Sessions,
GovernmentIndustry

Making AI Work in Highly Regulated Industries

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On Demand

Data Preparation Strategies for Successful Machine Learning

On Demand

One of the most common questions about machine learning is “How do I prepare my data for a machine learning project?” In order to run successful machine learning projects, and create highly-accurate predictive models for your business, you need to prepare your data effectively. But this process doesn’t have to be a burden. In this …

Data Preparation Strategies for Successful Machine Learning Read More »

Model development, Model Management, General Sessions,
Technology

Data Preparation Strategies for Successful Machine Learning

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On Demand

Is Artificial Intelligence Worth It for Me?

On Demand

Understanding buzzwords, avoiding the hype, and capitalizing on AI In this 60 minute webinar, you will learn about the executive’s role in data science, including: How this emerging technology can transform business decision making How to accelerate data science throughout your organization to improve outcomes How to avoid common pitfalls in data science implementation How …

Is Artificial Intelligence Worth It for Me? Read More »

Model development, General Sessions,
Technology

Is Artificial Intelligence Worth It for Me?

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On Demand

Automated Machine Learning in Action

On Demand

Machine learning dramatically improves decision making via sophisticated predictive analytics that learns patterns from historical data. Led by Data Scientists, predictive analytics is enabling companies to transform their business through these initiatives. But Data Scientists are in short supply and this shortage is preventing businesses from realizing the full potential to derive value from their …

Automated Machine Learning in Action Read More »

Model development, General Sessions,
Technology

Automated Machine Learning in Action

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On Demand

Analytics Strategy of a 21st Century Insurance Company

On Demand

There is no doubt about the impact of predictive analytics in any insurance company – large, medium, or small. The question that everyone is asking: how can we bring a sustainable, cost-effective, and consumer centric predictive analytics strategy within the organization? Machine Learning Automation is the answer to that question. This 60 minute on-demand session …

Analytics Strategy of a 21st Century Insurance Company Read More »

Model development, General Sessions,
Industry

Analytics Strategy of a 21st Century Insurance Company

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On Demand

The Fast Path to Success with AI

On Demand

In this session, Greg Michaelson, PhD, and Head of DataRobot Labs, reviews the practical first steps an organization takes towards becoming an AI-driven enterprise and remaining competitive in the coming years. You will discover how to: Train users across your organization – including business leaders – to spot AI opportunities Systematically identify the opportunities best …

The Fast Path to Success with AI Read More »

Model development
Industry

The Fast Path to Success with AI

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On Demand

Model Risk Management with DataRobot

On Demand

Traditional model development methods are time-consuming, tedious, and subject to user error and bias. DataRobot’s industry-leading automated machine learning platform offers a much more robust framework for managing and minimizing model risk than traditional manual modeling. In this webinar, we demonstrate how the DataRobot automated machine learning platform provides the industry’s best “out-of-the-box” solution for …

Model Risk Management with DataRobot Read More »

Model Risk Management with DataRobot

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On Demand

The Automation Solution for the 10 (Not So Simple) Steps to Machine Learning

On Demand

As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, everyone wants a piece. However, the machine learning process is complex and time-consuming, which discourages business analytics professionals and executives from being involved. Enter, automated machine learning — created to automate the machine learning process. Automating the steps within machine learning is …

The Automation Solution for the 10 (Not So Simple) Steps to Machine Learning Read More »

General Sessions
Technology

The Automation Solution for the 10 (Not So Simple) Steps to Machine Learning

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On Demand

Using AI and Time Series Models to Improve Demand Forecasting

On Demand

Time series machine learning models allow organizations to predict future values based on past and present data. Translation: companies can use time series to solve critical problems such as optimizing staffing levels, managing inventory, forecasting future product demand, and more. In this on-demand session, DataRobot’s Chief Scientist Michael Schmidt and General Manager of Time Series …

Using AI and Time Series Models to Improve Demand Forecasting Read More »

Model development, General Sessions,
Industry

Using AI and Time Series Models to Improve Demand Forecasting

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On Demand

Predicting Client Profitability with Automated Machine Learning

On Demand

One of the biggest challenges banks face is identifying and successfully marketing to the most profitable customers. To stay competitive with tech-savvy fintechs, banks need to identify customers whose needs align with their offerings and avoid wasting effort and marketing budget on customers who aren’t likely to benefit from – or purchase – their products …

Predicting Client Profitability with Automated Machine Learning Read More »

Model development, General Sessions,
Industry

Predicting Client Profitability with Automated Machine Learning

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On Demand

The 3 Things You Need to Become an AI-Driven Enterprise

On Demand

As machine learning and artificial intelligence (AI) become must-have capabilities in every industry, organizations are realizing they need to become AI-driven enterprises in order to remain competitive. However, many companies hesitate to implement AI solutions because of three major concerns: finding the expertise required to build high-quality AIs from machine learning models, a lack of …

The 3 Things You Need to Become an AI-Driven Enterprise Read More »

General Sessions
Industry

The 3 Things You Need to Become an AI-Driven Enterprise

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On Demand

Combating Customer Churn with AI

On Demand

Customer churn affects companies across industry, size, and geography. Retaining your existing customers is just as important (if not more so) than attracting and acquiring brand new customers. According to Harvard Business Review, the cost to acquire a new customer is anywhere from five to 25 times more expensive than retaining an existing one. Businesses …

Combating Customer Churn with AI Read More »

Model development, General Sessions,
Industry

Combating Customer Churn with AI

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On Demand

How to Remove Unfair Bias From Your AI

On Demand

As human beings we’re prone to bias in our thinking and decision making. AI can also be biased and demonstrate undesirable behavior – if we let it. In this live webinar, Colin Priest, Senior Director of Product Marketing at DataRobot will discuss how to identify and correct bias in AI. Trusting your AI has never …

How to Remove Unfair Bias From Your AI Read More »

Model development, Model Management, Model Governance,
Technology

How to Remove Unfair Bias From Your AI

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On Demand

From Analytics to AI: Is Your Team Ready?

On Demand

Will this be the year your team starts implementing AI? If you have data-savvy analytics talent using tools like Alteryx, Tableau, Qlik, Power BI, TIBCO Spotfire, R or Python, then you have a solid foundation to begin your AI journey. The next step: automated machine learning. Capable, motivated business intelligence and analytics professionals can elevate …

From Analytics to AI: Is Your Team Ready? Read More »

From Analytics to AI: Is Your Team Ready?

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On Demand

Automated Machine Learning 101: Is Your Company Ready?

On Demand

According to an O’Reilly study on AI adoption in the enterprise, 19 percent of respondents said they work for companies that plan to spend at least 20 percent of their IT budgets on AI. The interest in AI and machine learning technologies has never been greater. But what exactly is automated machine learning? Automated machine …

Automated Machine Learning 101: Is Your Company Ready? Read More »

Automated Machine Learning 101: Is Your Company Ready?

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On Demand

From Business Intelligence to Machine Intelligence: How AI Will Impact BI

On Demand

Artificial intelligence (AI) is a powerful automation tool. When applied to business intelligence (BI), it can dramatically accelerate insights, deepen understanding, and enhance decision making. But AI is a double-edge sword: without sufficient governance, it can deliver inaccurate or irrelevant insights that can lead to poor decisions. This webinar will help listeners understand both the …

From Business Intelligence to Machine Intelligence: How AI Will Impact BI Read More »

Model development, General Sessions,
Technology

From Business Intelligence to Machine Intelligence: How AI Will Impact BI

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On Demand

Opening the “Black Box”: Model Validation in the Age of AI

On Demand

Recent technological advancements have accelerated the integration of AI and machine learning models into more and more processes. However, model risk must be effectively managed. If left unchecked, the consequences of model risk can be severe.  AI and machine learning models require constant monitoring and effective validation – this is not only a regulatory requirement …

Opening the “Black Box”: Model Validation in the Age of AI Read More »

Model development, Model Management, ML Operations (MLOps),
Technology

Opening the “Black Box”: Model Validation in the Age of AI

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On Demand

How Banks are Winning with AI and Automated Machine Learning

On Demand

Banks have always had to make predictions. Evaluating the risks and rewards of making a particular business loan, for example, requires estimating the probability that a borrower will default.  Making these predictions traditionally required bankers to have deep knowledge of the borrower and their industry and extensive underwriting expertise. But times are changing. Today, banks …

How Banks are Winning with AI and Automated Machine Learning Read More »

Model development, General Sessions,
Industry

How Banks are Winning with AI and Automated Machine Learning

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On Demand

Why Retail Organizations Are Now Embedding AI in Their DNA

On Demand

The Empowered Consumer is more connected and informed than at any other time in retail history. Operational efficiencies and appropriate demand forecasting are more vital now than ever. Retailers must now embed AI in their DNA culture to better anticipate and predict their consumer’s evolving needs and habits. In this session, learn how best-in-class retailers …

Why Retail Organizations Are Now Embedding AI in Their DNA Read More »

Model development, General Sessions,
Industry

Why Retail Organizations Are Now Embedding AI in Their DNA

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On Demand

Embracing AI: How Automated Machine Learning is Revolutionizing the Insurance Industry

On Demand

AI and machine learning are transforming data analytics by allowing companies of all sizes to develop predictive models five to fifteen times faster, and at a far lower cost. Insurers can overcome previous limitations imposed by data, systems, and staffing to incorporate more insights and information from across the enterprise into ever more precise predictions. …

Embracing AI: How Automated Machine Learning is Revolutionizing the Insurance Industry Read More »

Model development, ML Operations (MLOps),

Embracing AI: How Automated Machine Learning is Revolutionizing the Insurance Industry

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On Demand

Five Automated Machine Learning Solutions for P&C Insurance

On Demand

In an insurance marketplace where the average P&C combined ratio is hovering close to 99 points, a single point improvement can yield a dramatic increase in profitability. AI and automated machine learning bring five new dynamics to P&C insurance operations that empower companies to shed previous constraints and break out of the pack to pursue …

Five Automated Machine Learning Solutions for P&C Insurance Read More »

Model development, Model Management,
Industry

Five Automated Machine Learning Solutions for P&C Insurance

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On Demand

The State of AI Bias

On Demand

While many people believe AI can help solve complex problems plaguing modern societies, can we trust that the AI solutions directing our work and livelihood are rooted in reliable, unbiased data? Do organizations have the proper systems in place to prevent, or quickly address, issues resulting from AI bias? DataRobot surveyed more than 350 U.S. …

The State of AI Bias Read More »

Model development, Model Governance,
Technology

The State of AI Bias

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On Demand

Data Science Fails: Case Studies and Lessons Learned

On Demand

AI adoption rates are on the rise, and 2020 has become the year that AI becomes business-as-usual rather than a science experiment. But while the adoption of AI has become widespread, not all AI projects are living up to the hype. “Despite the promise of AI, many organizations’ efforts fall short…only 8% of firms engage …

Data Science Fails: Case Studies and Lessons Learned Read More »

Model development
Technology

Data Science Fails: Case Studies and Lessons Learned

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On Demand

Accelerating AI Adoption with Machine Learning Operations (MLOps)

On Demand

Massive investments in data science teams and machine learning platforms have yet to yield results for most companies. The last mile for AI project success is the deployment and management of models in production requiring new technology and practices. This new area is called Machine Learning Operations or MLOps. In this latest session, you will …

Accelerating AI Adoption with Machine Learning Operations (MLOps) Read More »

Model development, Model Management, ML Operations (MLOps),
Technology

Accelerating AI Adoption with Machine Learning Operations (MLOps)

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On Demand

Model Building: Using Small Datasets to Build Models

On Demand

As the global coronavirus pandemic is causing major disruptions to communities and the economy, many existing data science models struggle to adapt to these shifts due to a shortage of available data. Watch on-demand webinar “Using Small Datasets to Build Models” hosted by Dave Heinicke and Rajiv Shah, both Customer-Facing Data Scientists, to learn more …

Model Building: Using Small Datasets to Build Models Read More »

Model development
Technology

Model Building: Using Small Datasets to Build Models

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On Demand

How AI and Machine Learning Helps Improve Insurance Pricing

On Demand

Many P&C insurance companies are seeing deteriorating underwriting results. With the advent of comparative raters in the P&C insurance market, prospects can compare prices on many companies instantly, often simply choosing the lowest offer. Less sophisticated insurance carriers become exposed in the areas where they are mispriced to make a sale. The lowest cost may …

How AI and Machine Learning Helps Improve Insurance Pricing Read More »

Model development
Industry

How AI and Machine Learning Helps Improve Insurance Pricing

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On Demand

DataRobot Visual AI: See the Big Picture with Automated Computer Vision

On Demand

DataRobot Automated Machine Learning with Visual AI enables you to work with images just like any other type of data. Behind the scenes, DataRobot automates the preparation, selection, and training of a wide variety of cutting-edge deep learning models, and recommends the best model for your use case. Visual AI instantly brings support for classification …

DataRobot Visual AI: See the Big Picture with Automated Computer Vision Read More »

Model development
Technology

DataRobot Visual AI: See the Big Picture with Automated Computer Vision

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On Demand

The Last Mile to AI ROI

On Demand

hile you have hired top-notch data scientists to build models and invested in data science tools, your AI projects still may not be getting off the ground. Research shows that the share of AI models deemed “production worthy” but never put into production is anywhere between 50 and 90%. Do you see yourself on that …

The Last Mile to AI ROI Read More »

Model development, General Sessions,
Industry

The Last Mile to AI ROI

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On Demand

Hyper-Growth in a Tech Start-Up with the Help of Data Science

On Demand

With the rise of the data science revolution, it is no longer enough to simply scale with people or with tech. Startups globally are preparing for hyper-growth through the combination of people, technology, and data. The earlier that companies start thinking about how to make data-driven decisions, the sooner they get a competitive advantage on …

Hyper-Growth in a Tech Start-Up with the Help of Data Science Read More »

Model development, General Sessions,
Industry

Hyper-Growth in a Tech Start-Up with the Help of Data Science

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On Demand

How to Transform Your Business with Automated Machine Learning

On Demand

The International Data Corporation (IDC) estimates that by 2021, enterprise spending on artificial intelligence (AI) and machine learning will more than triple that of 2017. However, companies looking to use AI encounter challenges such as a lack of clear implementation best practices along with fierce competition for data science resources. Enter: automated machine learning technologies …

How to Transform Your Business with Automated Machine Learning Read More »

Model development
Industry

How to Transform Your Business with Automated Machine Learning

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On Demand

AI in Turbulent Times: New world, old model. Now what?

On Demand

The world is changing around us, and deployed machine learning models are losing their power as current behaviors in the economy shift and change rapidly in these uncertain times. Join us as we walk through the practical steps you can take to ensure that your predictions remain relevant and value-generative, even in situations where your …

AI in Turbulent Times: New world, old model. Now what? Read More »

Model Management, Model Governance,
Industry

AI in Turbulent Times: New world, old model. Now what?

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On Demand

Managing Models in Uncertain Times

On Demand

Monitoring and managing your production models in normal times is tricky enough. With the levels of uncertainty introduced by COVID-19, this critical requirement is amplified even further. If left unchecked, this volatility will cause your models to decay, creating havoc with business-critical processes. DataRobot believes this situation is preventable with effective machine learning operations best …

Managing Models in Uncertain Times Read More »

Model Management, Model Governance, General Sessions,
Technology

Managing Models in Uncertain Times

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On Demand

Humble AI: Building Guardrails Against Overconfidence

On Demand

As AI becomes ubiquitous, more and more high-stakes decisions will be made automatically by machine learning models. AI can determine the very future of your business and can make life-or-death decisions for real people. But as the world changes, an AI system is often faced with new examples that it hasn’t seen before, and it …

Humble AI: Building Guardrails Against Overconfidence Read More »

Model development, Model Management, Model Governance,
Technology

Humble AI: Building Guardrails Against Overconfidence

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On Demand

How Al and Machine Learning can Help Prevent Payment Fraud and Enhance Customer Experience

On Demand

Banks and payment systems are facing growing challenges in managing fraud. Traditional rule-based systems fail to detect new and evolving fraudulent behaviors like Account Takeover (ATO), Synthetic Frauds and card-not-present (CNP) frauds. In the light of the latest global pandemic, The U.S. Department of Treasury has recently issued an alert on COVID-19 related scams, which …

How Al and Machine Learning can Help Prevent Payment Fraud and Enhance Customer Experience Read More »

Model development, Model Governance,
Industry

How Al and Machine Learning can Help Prevent Payment Fraud and Enhance Customer Experience

View Session
On Demand

How to Stop Worrying and Start Tackling AI Bias

On Demand

The stories of bias in AI are everywhere: Amazon’s recruiting tool, Apple’s credit card limits, Google’s facial recognition, and dozens more. The quick solution is just to blame the algorithm and its designers. However, the only way to create fairer AI is to understand the true source of the model’s bias. AI does not create …

How to Stop Worrying and Start Tackling AI Bias Read More »

Model development, Model Governance,
Technology

How to Stop Worrying and Start Tackling AI Bias

View Session
On Demand

How to make ML-Ops work for you. Achieve productive orchestration AND provenance for ML.

On Demand

MLOps is clearly not “just DevOps for machine learning”. Rather it needs to combine methodologies from both worlds – data science and operations. One of the challenges is performing routine R&D tasks for ML within the context of an organization with changing HW setups. Do the data scientists have their own machines? Do they need …

How to make ML-Ops work for you. Achieve productive orchestration AND provenance for ML. Read More »

Model Management, ML Operations (MLOps),
Technology

How to make ML-Ops work for you. Achieve productive orchestration AND provenance for ML.

View Session
Live

ML never works in isolation!

Thu. January 28, 2021 @ 16:00 ET

Machine Learning is part of a larger need in an organization. In this information revolution, where we are inundated with information, ML needs to be leveraged to sort / prioritize / handle realistic business problems. Agency problems are often process focused, more regulated each day. The focus of ML has to be one that addresses …

ML never works in isolation! Read More »

Day 3, Model development,
Technology

ML never works in isolation!

View Session
Live

Better interoperability and scalability with no-code ML

Wed. January 27, 2021 @ 11:30 ET

How do you stand up successful ML projects in a world where ML implementation—or even experimentation—is still cost-prohibitive, unpredictable, and has an 87% failure rate? How can teams ensure connectivity across cloud-based tools and workflows as projects scale? In this session, Zorroa will discuss how today’s no-code ML workflows are supporting software connectivity and enabling …

Better interoperability and scalability with no-code ML Read More »

Day 2, Model development, Model Management,
Industry

Better interoperability and scalability with no-code ML

View Session
Live

AI and Data Governance: State CDO Perspectives

Tue. January 26, 2021 @ 14:45 ET

In this interactive panel hear from State Chief Data Officers (CDOs) on their perspectives on AI and data governance.

Day 1, Model Governance, General Sessions,
Government

AI and Data Governance: State CDO Perspectives

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Live

Are you using Airflow or similar SW for ML pipelining? You’re doing it all wrong.

Tue. January 26, 2021 @ 14:45 ET

There are many that try to bridge the gap between the iterative, incremental work done in Research and the integrated, routinely automated workflows of modern software development. This manifests itself in the DevOps pipelining tools that ML practitioners try to “jam” for their research needs. From our experience working with groundbreaking companies, we can surmise …

Are you using Airflow or similar SW for ML pipelining? You’re doing it all wrong. Read More »

Day 1, Model Management, ML Operations (MLOps), Model Governance,
Technology

Are you using Airflow or similar SW for ML pipelining? You’re doing it all wrong.

View Session
Live

AI in Healthcare (Panel)

Thu. January 28, 2021 @ 17:15 ET

In this panel, we hear how leading healthcare industry professionals are tackling the challenges of healthcare with AI.

Day 3, Model Governance, General Sessions,
Industry

AI in Healthcare (Panel)

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Keynote

Keynote: AI for Commercial Excellence: A Stanley Black and Decker Perspective

Thu. January 28, 2021 @ 10:15 ET

Stanley Black and Decker, has 60,000+ products in its portfolio and sells products in 90+ countries. A large portfolio of products, customers serviced through different business models drives the need for a robust approach to manage customers to drive commercial excellence. This talk will cover technical challenges related to scaling compute architecture, engineering complexity, modeling …

Keynote: AI for Commercial Excellence: A Stanley Black and Decker Perspective Read More »

Day 3, Model development, ML Operations (MLOps), General Sessions,
Industry

Keynote: AI for Commercial Excellence: A Stanley Black and Decker Perspective

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Live

Enhancing AI Skills in the Government Workforce

Wed. January 27, 2021 @ 14:45 ET

In this interactive panel we’ll have folks from different agencies share how AI is impacting their organization and transforming their day to day work and talk about needs for enhancing AI skills in the government. 

Day 2, Model development, Model Management, ML Operations (MLOps), Model Governance, General Sessions,
Government

Enhancing AI Skills in the Government Workforce

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Live

Challenges in Enterprise Data Science

Thu. January 28, 2021 @ 14:45 ET

This panel session will have enterprise experts discuss challenges in implementing data science in enterprise settings.

Day 3, Model Governance, General Sessions,
Industry

Challenges in Enterprise Data Science

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Live

The Magic of Synthetic Data

Tue. January 26, 2021 @ 17:15 ET

It is becoming common practice to utilize synthetic data to boost the performance of Machine Learning Models. For example, Machine Learning Practitioners generate synthetic data by rotating, flipping, and cropping images to increase the volume of image data to train Convolutional Neural Networks. In this session Dewayne will share how he is using the GPT-2 …

The Magic of Synthetic Data Read More »

Day 1, Model development,
Technology

The Magic of Synthetic Data

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Live

Implementing AI in the Government

Tue. January 26, 2021 @ 16:00 ET

This panel session will share how various different agencies are approaching and implementing AI technologies.

Day 1, Model development, Model Management, General Sessions,
Government

Implementing AI in the Government

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On Demand

Using Predictive AI to Optimize the Grid

On Demand

A perfect storm is brewing in the energy industry. Amidst aging infrastructure and reliance on fossil fuels, grid operators now struggle to integrate newer microgrids and renewable energy sources such as solar and wind into their legacy grids. Supply/demand mismatches cause energy brownouts or blackouts; voltage/frequency synchronization problems burn out expensive equipment; and security vulnerabilities …

Using Predictive AI to Optimize the Grid Read More »

General Sessions
Industry

Using Predictive AI to Optimize the Grid

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On Demand

How AI is Helping Public Safety Agencies Demonstrate Greater Transparency

On Demand

Amidst challenging times for law enforcement, police departments and other public safety agencies have an opportunity to foster greater public trust and increased transparency through the application of AI. In this session, Retired Chief David Jantas from the Pemberton Township, NJ Police Department will share his experiences and best practices on how agencies are leveraging …

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General Sessions
Government

How AI is Helping Public Safety Agencies Demonstrate Greater Transparency

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On Demand

How AI Transforms Contact Centers in the Age of COVID

On Demand

Organization contact centers face new challenges during the pandemic as they grapple with spikes in demand, a remote workforce, and compliance concerns. These challenges create opportunities for AI automation solutions that deploy digital workers to come alongside human workers and make their jobs easier. In this session, you will learn how AI applied to calls, …

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General Sessions
Industry

How AI Transforms Contact Centers in the Age of COVID

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On Demand

The Ethical Side of Data Usage Panel Discussion: Government Perspectives

On Demand

Machine learning requires data, and many companies have lots of data that is useful for many very important tasks. However there are many questions about how this data should be used, shared and applied. Additionally, companies walk a fine line with just how much they want to let customers and users know about the data …

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Model Governance, General Sessions,
Government

The Ethical Side of Data Usage Panel Discussion: Government Perspectives

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On Demand

Predictive Analytics And Data Panel Discussion

On Demand

One of the seven patterns of AI, predictive analytics is being used in many areas of government to help humans make better decisions. Some examples of this pattern being applied include assisted search and retrieval, predicting some future value for data, predicting behavior, predicting failure, giving advice, and intelligent navigation. The idea is that it …

Predictive Analytics And Data Panel Discussion Read More »

Model Governance, General Sessions,
Government

Predictive Analytics And Data Panel Discussion

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Live

Accelerate Concept to Value: Human Centric Design driven ML Ops

Wed. January 27, 2021 @ 11:30 ET

Sign up for the Pactera 1:1 Ask an Expert Session Despite the promise of AI, 90% of data science initiatives fail to achieve adoption and hence value. Even with adoption, 70% of models don’t get updated and lose relevancy. At the end of the day, Gartner predicts that over 50% of CDOs will fail within their …

Accelerate Concept to Value: Human Centric Design driven ML Ops Read More »

Day 2, ML Operations (MLOps),
Technology

Accelerate Concept to Value: Human Centric Design driven ML Ops

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Live

Leading Data Scientists the Right Way

Thu. January 28, 2021 @ 16:00 ET

Leading data scientists is a challenging endeavor and not for the faint of heart. There are many different ways to lead teams of high performing data scientists. In this session, Ylan will talk about what he has learned from building two different data science teams. He’ll also touch on how team structure can help unlock …

Leading Data Scientists the Right Way Read More »

Day 3, Model Management, General Sessions,
Industry

Leading Data Scientists the Right Way

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Live

AI Governance: Your Path to Regulatory excellence

Thu. January 28, 2021 @ 11:30 ET

Leading organizations are implementing ML/AI to optimize processes and production, increase revenue, and reduce cost and risks. Success depends on AI governance to meet compliance with current and future regulatory requirements and provide transparency to customers. Join us in this lively panel discussion to learn: Why AI/ML governance is critical. Who is responsible and accountable …

AI Governance: Your Path to Regulatory excellence Read More »

Day 3, Model Governance,
Industry

AI Governance: Your Path to Regulatory excellence

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Live

Datatron Presents: A Trusted Approach to MLOps

Wed. January 27, 2021 @ 14:45 ET

What does it take to operationalize ML models in production while enabling model governance and risk management? How can you solve tough business problems with trust and transparency? Can we spend less time on engineering heavy lifting and more time on science?  Datatron automates MLOps and Model Governance in a single platform enabling scientists, engineers, …

Datatron Presents: A Trusted Approach to MLOps Read More »

Day 2, ML Operations (MLOps),
Industry

Datatron Presents: A Trusted Approach to MLOps

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Keynote

Taming the compounded disruption with Data, Data Science, and Digital for a resilient, sustainable, and dynamic future

Thu. January 28, 2021 @ 13:30 ET

Companies are awash in data. This keynote will discuss how companies can approach taming the compounded disruption with Data.

Day 3, General Sessions,
Industry

Taming the compounded disruption with Data, Data Science, and Digital for a resilient, sustainable, and dynamic future

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Live

Putting the AI in Air Force: Equipping our Airmen for the Digital Battlespace

Thu. January 28, 2021 @ 11:30 ET

The government can be known to be slow to adopt certain technologies. However, for war fighters it’s important they are armed with the latest technologies to help fight on the ever changing battlefield. This session will discuss how innovation is being addressed across the Department of Defense, including speeding of adoption of emerging technologies, and …

Putting the AI in Air Force: Equipping our Airmen for the Digital Battlespace Read More »

Day 3, General Sessions,
Government

Putting the AI in Air Force: Equipping our Airmen for the Digital Battlespace

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Live

MLOps Done Right: Best Practices to Deploy, Integrate, Scale, Monitor and Comply

Wed. January 27, 2021 @ 17:15 ET

Successful MLOps not only requires strong collaboration between the AI data team, AI model team, and DevOps – it’s the ability to effectively manage and mitigate risk across the deployment, integration, scale, monitoring, and compliance stages of an AI project. In this session, we will review these topics in detail, including why a cross-vendor deployment …

MLOps Done Right: Best Practices to Deploy, Integrate, Scale, Monitor and Comply Read More »

Day 2, ML Operations (MLOps),
Government

MLOps Done Right: Best Practices to Deploy, Integrate, Scale, Monitor and Comply

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Live

Using AI to Gain Insight Into Unstructured Data Trapped in Legacy Systems

Wed. January 27, 2021 @ 16:00 ET

Valuable unstructured data is everywhere in organizations. Video, images, audio, and text content abounds, just waiting to be discovered and utilized–whether within BPA and RPA processes or stored in content management and line of business systems. The challenge is, how to enrich and extract that content for better findability and insight, and how to do …

Using AI to Gain Insight Into Unstructured Data Trapped in Legacy Systems Read More »

Day 2, Model development,
Industry

Using AI to Gain Insight Into Unstructured Data Trapped in Legacy Systems

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Keynote

From Digitization to AI: How Technology is Transforming the Government

Wed. January 27, 2021 @ 10:15 ET

The Federal Government has been considered a slow adopter of technology. However in the rapidly advancing world, the government has needed to keep up to stay on top of transformative changes. In this keynote session, Harrison Smith will discuss some of the IRS’s and government’s current digitization and digitalization efforts, how AI plays a part …

From Digitization to AI: How Technology is Transforming the Government Read More »

Day 2, General Sessions,
Government

From Digitization to AI: How Technology is Transforming the Government

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Live

AI applications for Healthcare Economics

Wed. January 27, 2021 @ 09:00 ET

With increased prevalence of AI being applied to healthcare, there is a tremendous opportunity in transforming and improving Healthcare Economics tagged with patient care, provider payments, claims, hospital utilization along with other administrative processes. This session is to discuss the various aspects of applying AI to improve the economic outcomes – a key metric for …

AI applications for Healthcare Economics Read More »

Day 2, General Sessions,
Industry

AI applications for Healthcare Economics

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Live

Building Trust in Your AI

Tue. January 26, 2021 @ 16:00 ET

AI can deliver compelling business results, but do you know for a fact you are using the best available AI model for your data? Do you know what to expect after deploying? Is there risk of performance degradation or bias? Many AI projects fall short of expectations due to poor model performance or the unintended …

Building Trust in Your AI Read More »

Day 1, Model development,
Industry

Building Trust in Your AI

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Live

Machine Learning Modeling: Embedded Security and Foundational Development for ML

Thu. January 28, 2021 @ 14:45 ET

This session will focus on foundational modeling for machine learning and address the importance of data.  It will also discuss protocols the USMC is considering, methods for benchmarking and opportunities for optimization.  Attendees will walk away with a better understanding of why Machine Learning is important to the Warfighter, categories of decision making that will …

Machine Learning Modeling: Embedded Security and Foundational Development for ML Read More »

Day 3, Model development, Model Management, General Sessions,
Government

Machine Learning Modeling: Embedded Security and Foundational Development for ML

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Keynote

MLOps frameworks and its use cases | MLOps vs. DevOps

Tue. January 26, 2021 @ 13:30 ET

The presentation will focus on the key MLOps framework currently used in organizations to manage the machine learning lifecycle. It will also focus on how organizations need to understand the differences between MLOps vs. DevOps and organize team structure around it. Introduced by: Ahmer Inam, Pactera Edge

Day 1, General Sessions,
Industry

MLOps frameworks and its use cases | MLOps vs. DevOps

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Live

What we need is interpretable and not explainable machine learning

Thu. January 28, 2021 @ 09:00 ET

All models are wrong and when they are wrong they create financial or non-financial harm. Understanding, testing and managing potential model failures and their unintended consequences are  the key focus of model risk management, particularly for mission critical or regulated applications. This is a challenging task for complex machine learning models and having an explainable …

What we need is interpretable and not explainable machine learning Read More »

Day 3, Model development,
Industry

What we need is interpretable and not explainable machine learning

View Session
Keynote

What you need to know about AI/ML from an acquisition perspective

Tue. January 26, 2021 @ 10:00 ET

This session with discuss how technologies such as AI and ML are transforming government procurement. In particular this session with address strategies procurement offices should take to adopt, build, and buy AI/ML. Additionally Keith will discuss change management considerations including People, Processes, and Technology.

Day 1, General Sessions,
Government

What you need to know about AI/ML from an acquisition perspective

View Session
On Demand

Long-term Machine Learning Models in Production

On Demand

There is a new term that’s gaining traction called MLOps. Putting machine learning models into production isn’t like your normal software engineering projects. There are long-term issues that need to be addressed such as model drift. The MLOps teams are tasked with this long-term

ML Operations (MLOps)
Technology

Long-term Machine Learning Models in Production

View Session
On Demand

Data Prep for AI and ML

On Demand

The AI revolution is here, but it has demands. AI needs clean, contextual data in the proper format to do its job. Too often, though, that process of cleaning and contextualizing takes an extraordinary amount of time—time that could be spent refining your predictive models.

Model development, General Sessions,
Technology

Data Prep for AI and ML

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On Demand

Business Analysis with DataRobot

On Demand

Understand how DataRobot can enhance your workflow and how to use DataRobot to more efficiently perform the most common types of business analyses.

Model development, General Sessions,
IndustryTechnology

Business Analysis with DataRobot

View Session
On Demand

Automated Time Series

On Demand

This session shows how to use DataRobot’s Automated Time Series. DataRobot builds for the preprocessing and construction of sophisticated time series models that predict the future values of a data series based on its history and trend.

Model development
Technology

Automated Time Series

View Session
On Demand

Beyond AutoPilot

On Demand

How to level up your modeling after running Autopilot. Learn about new techniques, algorithms, and features that DataRobot makes available to improve your models.

Model development
Technology

Beyond AutoPilot

View Session
On Demand

AI Demo Showcase: DataRobot

On Demand

Watch the demo to see how DataRobot’s automated machine learning platform combines predictive modeling expertise with the best practices of data science to deliver accurate and actionable predictions with full transparency and interoperability.

General Sessions, Demo Showcase,
Technology

AI Demo Showcase: DataRobot

View Session
On Demand

AI Demo Showcase: Veritone

On Demand

Watch the demo to see a real-time demonstration of our AI Powered transcription, redaction, and facial recognition capabilities.

General Sessions, Demo Showcase,
GovernmentTechnology

AI Demo Showcase: Veritone

View Session
Keynote

Planning an Agile Government with AI

Wed. January 27, 2021 @ 13:30 ET

AI is transforming the federal workplace, allowing employees to work more productively and efficiently.

Day 2, General Sessions,
Government

Planning an Agile Government with AI

View Session

Harrison Smith

Director, Enterprise Digitalization at Internal Revenue Service (IRS)

Justin Marsico

Chief Data Officer, Deputy Assistant Commissioner, Bureau of the Fiscal Service

Keith Nakasone

Deputy Assistant Commissioner | Acquisition, Office of Information Technology Category (ITC) Federal Acquisition Service (FAS), U.S. General Services Administration (GSA)

Mark Persaud

Emerging Experiences at the Moonshot Innovation Outpost by Pactera EDGE

Rajeev Dolas

Chief Technology Officer, National Highway Traffic Safety Administration NHTSA

Renata Spinks

Cyber Technology Officer, U.S. Marine Corps Forces Cyberspace Command

Sanjay Gupta

Chief Technology Officer, U.S. Small Business Administration

Sarah Gadd

Head of Semantic Technology, Analytics and Machine Intelligence at Credit Suisse

Tim Persons

Chief Scientist and Managing Director of the Science, Technology Assessment, and Analytics team at U.S. Government Accountability Office (GAO)

Tyler Kleycamp

State CDO Network and Former Chief Data Officer (CDO) of Connecticut

Vamsi Nellutla

Associate Director, UnitedHealth Group; President, Dallas Data Science Academy

Ylan Kazi

Vice President, Data Science + Machine Learning, UnitedHealth Group

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