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Video Highlights: Deep Learning for Probabilistic Time Series Forecasting

In this Data Science Salon talk, Kashif Rasul, Principal Research Scientist at Zalando, presents some modern probabilistic time series forecasting methods using deep learning. The Data Science Salon is a unique vertical focused conference which grew into the most diverse community of senior data science, machine learning and other technical specialists in the space.

Data Evolution in the Cloud: The lynchpin of competitive advantage

This report from our friends over at Snowflake reveals the extent to which the data sharing economy is powering business growth and how organizations are leveraging data from a range of sources to drive innovation, create better customer experiences, and meet regulatory requirements.

Video Highlights: Why Do ML Models Fail?

Our current machine learning (ML) models achieve impressive performance on many benchmark tasks. Yet, these models remain remarkably brittle, susceptible to manipulation and, more broadly, often behave in ways that are unpredictable to users. Why is this the case? In this talk by Aleksander Madry, Professor of Computer Science, Massachusetts Institute of Technology, we identify human-ML misalignment as a chief cause of this behavior.

How Third-party Data Can Enable Better Business Insights

Join this virtual event with Stephen Orban, author of Ahead in the Cloud and General Manager of AWS Data Exchange. He will lead a panel discussion with AWS customers to discuss the innovative techniques being used in data pipelines, with data analysis, and for data visualization. You will hear about real-world initiatives and breakthroughs being enabled by third-party data.

Digitate Announces Results of Inaugural Autonomous Enterprise Survey, Reveals Redundant Tasks as Number One IT Operations Challenge

Digitate, a leading autonomous enterprise software provider, announced the results of its inaugural Autonomous Enterprise survey. Digitate surveyed leading European AIOps influencers in September 2020. The report aimed to better understand how Artificial Intelligence (AI)-enabled Intelligent IT Operations and automation are impacting IT Infrastructure, applications, end-user services for European companies, and the barriers that might be preventing them from realizing its full potential.

Video Highlights: COVID Data Community Profile Report

With the COVID-19 data now open to the public, the need for better analysis and aggregation of that information in the U.S. has skyrocketed. If you’re interested in learning more about the current trends impacting the nation and the data that backs it up, check out the Datapalooza COVID Data Community Profile video presentation below, hosted by data journalism firm, CareSet.

Best of for AI, Machine Learning, and Deep Learning – January 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Gurobi Publishes Inaugural State of Mathematical Optimization Report

Gurobi Optimization, LLC – which produces the fast mathematical optimization solver, the Gurobi Optimizer – today released the inaugural edition of its annual State of Mathematical Optimization Report. The report highlights the business impact of mathematical optimization, revealing how companies across more than 42 industries are using this AI technology to solve a broad range of business problems and achieve a variety of business objectives, including maximizing revenue, minimizing costs, and maximizing resource utilization.

Eight Awardees Announced as Part of $10 Million Inclusive Growth and Recovery Challenge announced the eight global awardees of the $10 million Inclusive Growth and Recovery Challenge. Launched in partnership with the Mastercard Center for Inclusive Growth and The Rockefeller Foundation, the Challenge will tackle society’s greatest challenges by harnessing the power of data science to help people and communities thrive.

Video Highlights: Scalable Object Detection with DETR

Object detection is a central problem in computer vision and underpins many applications from medical image analysis to autonomous driving. This video presentation will start with a tutorial on object detection covering basic concepts and techniques. Then we will dive into an interactive session where you will implement a recent method introduced by Facebook called DEtection TRansformers (DETR) and learn how to use Determined’s integrated deep learning platform to easily train models for object detection at scale.