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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.

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.

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.

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.

Video Highlights: Content Driven Advertising using First Party Data

In the video presentation below, Amit Bhattacharyya, Head of Data Science at VOX Media, describes a clustering model that connects users to the content they are consuming to identify context-based audience segments. In turn, these segments are used to train a classification model that is used in real time to inform advertising without relying on 3rd-party cookies.

NetApp AI and Run:AI Partner to Speed Up Data Science Initiatives

NetApp, a leading cloud data services provider has teamed up with Run:AI, a company virtualizing AI infrastructure, have teamed up to allow faster AI experimentation with full GPU utilization. The partnership allows teams to speed up AI by running many experiments in parallel, with fast access to data, utilizing limitless compute resources. Run:AI enables full GPU utilization by automating resource allocation, and NetApp® ONTAP® AI proven architecture allows every experiment to run at maximum speed by eliminating data pipeline bottlenecks.

Video Highlights: Data-enabled Hypersurfaces

Imagine any objects and surfaces can become smart and connected to the digital world. In the TEDx video presentation below, Dr. Bruno Zamborlin shares how his company HyperSurfaces uses vibration sensors and edge-AI to transform any object of any material and shape into smart interfaces, seamlessly merging the physical and data worlds without the need for buttons, touch screens or even internet connections.

Video Highlight: A Vision of Analytics — Challenge the Data Warehouse Status Quo

The pandemic and related disruptions have caused companies to think hard about their data and analytics strategies and how they get real-time answers. In the keynote presentation below, Yellowbrick CEO, Neil Carson, discusses why the single most important set of technologies a company should be investing in today is an analytics infrastructure. Carson explains why these are the technologies that will determine whether your business survives.

Addressing AI Trust, Systemic Bias & Transparency as Business Priorities

Our friend Dr Stuart Battersby, CTO of Chatterbox Labs (an Enterprise Al Company), reached out to us to share how his company built a patented AI Model Insights Platform (AIMI) to address the lack of explainability & trust, systemic bias and vulnerabilities within any AI model or system.