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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.

Video Highlights: How to Set Up a Remote Data Science Team

The talk below was part of a joint webinar with Appsilon and RStudio on July 28, 2020. In the presentation, Appsilon Senior Data Scientist Olga Mierzwa-Sulima explains best practices for data science teams – whether they are working in the office together or fully remote.

Video Highlights: BigQuery + Notebooks: Building an Analytics Pipeline on Kaggle

Your architecture choices impact how efficiently you’re able to use your data. In this “Snapshots” video produced by Kaggle, Data Scientist Wendy Kan demonstrates how she incorporates BigQuery and Kaggle Notebooks into her workflow. Watch her create an interactive network analysis graph that explores the most commonly installed Python packages!

Video Highlights: The Soul of a New AI

Joseph Blue is a Customer-Facing Data Scientist at DataRobot and has 20 years of hands-on experience including concentrations in financial services & healthcare. Prior to DataRobot, he built solutions for United Healthcare, HNC Software, ID Analytics and MapR. Currently helping to democratize data science with Automated Machine Learning (AutoML) – one organization, indivisible, with insights and value for all. Joseph Blue was speaking at ODSC Europe 2019 in the presentation below.

Research Highlights: ExBERT

In the insideBIGDATA Research Highlights column we take a look at new and upcoming results from the research community for data science, machine learning, AI and deep learning. Our readers need to get a glimpse for technology coming down the pipeline that will make their efforts more strategic and competitive. In this installment we review a new paper: EXBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models by researchers from the MIT-IBM Watson AI Lab and Harvard.

Video Highlights: Maching Learning in R – Three Reasons to Use tidymodels

The following video presentation comes from my favorite Meetup group “LA R users group”, a 2,200+ member group that puts on some amazing virtual presentations. This talk centers around that fact that modeling and machine learning in R involve a bewildering array of heterogeneous packages, and establishing good statistical practice is challenging in any language. The tidymodels collection of packages offers a consistent, flexible framework for your modeling and machine learning work to address these problems.

Video Highlights: Delivering the Enterprise Data Cloud

In the video presentation below from the O’Reilly Strata Data Conference, Arun Murthy, co-founder of Hortonworks and current CPO of Cloudera, discusses how enterprises can extract and act on big data.

UCLA DataFest Winners Announced, Presentations Posted

For the annual UCLA DataFest, student worked hard with data pertaining to the monumental challenge we are all facing: COVID-19. This year’s virtual version of ASA DataFest at UCLA brought forth unforeseen challenges and wonderful opportunities. This beloved tradition is generally a competition wherein groups of three to five students have just 48 hours to make sense of a huge data set and present their findings in five minutes, using just two slides.