Meeting the Challenge of Data Privacy & Ethics for AI (Panel)
Fri. September 18, 2020 @ 09:00 ET
When using customer data for machine learning models, there are some considerations around data privacy and ethics of data collection, storage, and usage of that data. Companies have long treated data as assets, so it should come as no surprise that they take the use of this data seriously. Organizations are increasingly establishing rigorous governance processes around their data management. This panel will explore how various industries and companies are approaching the challenge of data privacy & ethics for AI.
Featured Presenters
Supported By
Alegion
Alegion is an industry-leading platform and fully managed service that provides annotation for image, video, text, audio, and lidar.
Amazon Web Services (AWS)
AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from datacenters globally. Millions of customers are using AWS to lower costs, become more agile, and innovate faster.
Appen
Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems.
Carahsoft
Carahsoft is a trusted Government IT Solutions Provider working with reseller partners, system integrators, and manufacturers to proving leading IT solutions to government markets.
CloudFactory
CloudFactory is a global leader in combining people and technology to provide a workforce in the cloud for machine learning and core business data processing.
Databricks
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.
DataRobot
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.
HEAVY.AI
HEAVY.AI provides advanced analytics that empower businesses and the government to visualize high-value opportunities and risks hidden in their big location and time data, supporting time-sensitive, high-impact decisions.
Labelbox
Labelbox is an end-to-end training data platform that is used to create and manage high-quality training data. The platform provides fast labeling tools, collaboration features, and supports any data type (e.g., images, videos, text, etc.)
Maverick Quantum Inc (mavQ)
Maverick Quantum Inc (mavQ) is a low code & artificial intelligence platform that enables organizations with digital transformation while creating valuable insights and outcomes.
Microsoft
Microsoft allows you to improve your agency’s collaboration, transparency, and sustainability by using more secure and compliant tools.
Veritone
Transform audio, video, and other data sources into actionable intelligence with Veritone’s aiWARE.