Sept 18

Introduction - Eric Garcetti - Mayor at City of LA & Ambassador Elect to India
Keynote - Nathan Janos - Chief Data Officer at System1
Keynote - Mike Burkes - Vice President, Enterprise Information Management at Ultra Mobile, Inc.
Keynote - Nithya Ramanathan - CEO & Co-Founder at Nexleaf
Keynote - Francesca Lazzeri - Principal Data Scientist Manager at Microsoft

In this session, I will walk you through our journey in creating a centralized business intelligence solution for providers that captures data from every system(HR, Performance, Clinical) they interact with and provide them KPI's that they can understand and interact with, It provides them an idea on how they are performing with their specialty, hospital and the organization as a whole.

The increasingly popular open source data store Redis offers especially high performance and availability across a range of data types and use cases. This session will ensure you know to get the most out of it.

Our real-time economy has been led by smart technology that is greatly reliant on data. As such, data has clearly become one of the business drivers in several sectors. Furthermore, in recent years, public web data has become central in supporting multiple industry sectors as well as academic research. Even once very reluctant industries, such as the financial sector, are integrating web data into their operations. However, the question remains, can web data serve your goals and reflect our new real time? In this talk, Omri Orgad, Bright Data’s North America Managing Director, will discuss just that and illustrate our new data-driven real time with some real-time examples.

Thought Apache Cassandra was a wide column, or key-value store only ? Using all open source, we detail design and use of document programming using Apache Cassandra [ that is more performant, and has complete uptime versus your current document data store ].

Learn about modern cloud-based streaming data pipelines spanning multiple platforms and datacenters and how they can unlock data for your business. This talk will review architectures and toolchains that are used to create data pipelines that combine data spanning multiple provider organizations and other entities in the health care space.

Why Data Governance Matters -Goal of the presentation, -Help organizations ask the right questions. -Tools, techniques, and approaches, -No one-size fits all approach to data governance.

In this talk we will look into the state of MySQL Security in 2021. We will cover the new security focused features available in MySQL (and MySQL Compatible variants) as well as share best practices to consider for secure MySQL deployment.

With traditional encryption, sensitive data is encrypted, stored or transmitted, then decrypted for use. The data remains protected while it is encrypted but loses that protection when it's in use. What if you could encrypt data and yet still use the data while it is encrypted? Welcome to fully homomorphic encryption!

Roman is a veteran data expert working with massive organizations to help them design and deliver customer-centric data that enables better decision-making. During his talk, he'll break down how cloud native infrastructure changes a company, how to implement it, and the impact it has on data literacy + adoption.

Learn how Teradata assisted executives in answering strategic questions during the pandemic by developing a dashboard that combined health, behavioral and first-party data. To help as many companies as possible, the underlying code and dashboard are given away for free.

In this session we’ll examine how distributed, columnar databases are power real-time analytics and modern data science. We’ll also take a closer look at the MariaDB ColumnStore storage engine architecture, exploring how it can be combined with Python to create robust solutions to modern-day data science and analytical problems.

Data structures and the user experience are often built separately to eventually come together in the same user interface. Drive more impact with your products by taking a step back and considering how these fields can learn from and enhance each other.

How to leverage the data to build great products

Driven by lockdown policies and heightened levels of stress, millions around the world turned to TV to cope during the COVID-19 pandemic. This presentation discusses how TV shows people watched mid-pandemic tended to be different than what they watched pre-pandemic through analysis of data from the mobile app TV Time.

InnovationX is a SWAT team of nerds at HHS using open data, human-centered design, and modern technology to address issues ranging from developing an artificial kidney to supporting our nation's response to COVID-19. When the COVID-19 pandemic hit in 2020, Dr. Honey advised the White House National Security Council (NSC) and the HHS Chief Information Officer (CIO) on big-data sharing, governance, analysis, and predictive analytics with AI/ML. She was instrumental in establishing the HHS Office of the Chief Data Officer (OCDO) and co-founded the Department's Data Governance Board.

The talk will be based on a dissertation research study on the use of data analytics within small businesses. The research consisted of a survey that we distributed to businesses in the United States. The results and analysis include responses from over 300 business owners and executives. The research seeks to understand management practices around data analytics and how these practices can impact firm performance. The presentation will include a summary of the results and key findings. Survey Link: https://pepperdine.qualtrics.com/jfe/form/SV_6zpDQGcoHdiU8qq

Sparse DNNs provide a powerful technique for delivering significant performance benefits and power savings without impacting the accuracy of your models. We present an introduction to sparse models, details on how to create and run sparse models, and guidance on how to ensure their robustness and fairness.

The California Office of Digital Innovation (ODI) supported the state’s COVID vaccine response by leveraging digital surveys and applying advanced statistical methods to estimate vaccine hesitancy at the zip code level. These data were a critical component of the advertising strategy and directly informed allocation of the vaccine to zip codes with the highest likelihood of vaccine acceptance. 

We will provide an overview of the LA County Homelessness Prevention Unit (HPU) pilot program, a partnership between California Policy Lab and LA County health and mental health agencies to apply machine learning to predict and prevent homelessness among single adults.

Using network graph analysis to understand the relationship of connections between cases and contact whether the context of the exposure was household, workplace, school, or a public place outbreak. Look at how the variant of the disease is spreading

This study analyses data from a survey created and administrated by a non-profit organization, Think of Us. The objective of the study is to use data to better understand the needs of foster care youth, focusing on those who are between 14 to 27 years old.

Tatari is developing technology to build AI-assisted media plans for linear and streaming TV. Our algorithms optimize buying based on predicted and actual business outcomes using machine learning. The AI-assisted plans enable smarter tests on TV, building trust from marketers and confidence to scale as they see success on TV.

In this talk, you will learn how you can use the open-source tool, DVC, to increase reproducibility for two methods of tuning hyperparameters: grid search and random search.

Authoring features respecting the constraints of time is hard, but required, when computing from event-based data directly. We'll review the limitations of data science tools and deep dive on how we've solved the problem. Attendees will gain understanding of temporal processing to create and operate predictive models with event-based data.

In any role where you work with data or use data to make decisions, issues of data equity are emerging as an essential consideration. A more equitable approach to data involves asking questions such as: what assumptions or perspectives are built into the data? Who defined the categories and methodology, and why? What is and is not represented in the data, and why? How is equity defined in this context? These answers can help us develop a better approach to our data work, but implementing new practices into projects and teams can be challenging. Hear from our panelists on their perspectives on data equity and learn from how they’ve brought these practices to their work to help build a more equitable future.

The past year marked unprecedented challenges for Public Health Departments. The Los Angeles County Department of Public Health, one of the largest public health organizations in the country, responded to the pandemic by using data and technology to accelerate manual processes and understand citizen experience. This session will discuss two projects which improved COVID-19 data intake and helped the County shape their response.