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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.

Interview: Luminati CEO, Or Lenchner

I recently caught up with Or Lenchner, CEO at Luminati, to discuss his company’s Data Collector product, an automated data collection tool, allowing customers to collect the most accurate data at scale quickly, easily, and without getting blocked. The Data Collector integrates and automates all stages of the data collection process for customers but leaves them in full control over the data they collect.

TOP 10 insideBIGDATA Articles for February 2021

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

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.

Zorroa Launches Boon AI; No-code Machine Learning for Media-driven Organizations

Zorroa Corp., a leading provider of accessible machine learning (ML) integration solutions backed by Gradient Ventures, Google’s AI-focused venture fund, today officially launched a first-of-its-kind ML SaaS platform, Boon AI. Boon unlocks the ML API ecosystem through a single point-and-click visual interface, reducing cost of ML adoption and making ML accessible as a competitive differentiation in media-driven organizations.

AI is Real Estate’s Secret Weapon for Efficiency, Accuracy and Customer Satisfaction

In this special guest feature, Nick Vandivere, CEO of ThoughtTrace, discusses how AI is real estate’s secret weapon for efficiency, accuracy and customer satisfaction. When a business can locate the critical information in their contracts in a timely manner, they’re empowered to reduce waste, capitalize on newfound opportunities, and increase their bottom line.

How Machine Learning and Data Science Can Advance Nutrition Research

In this special guest feature, Kyle Dardashti, CEO & Founder of Heali, discusses how machine learning and data science bring exciting potential to the world of personalized nutrition. Combining these two technologies together on a cohesive platform that supports continuous tracking would allow for real-time validated nutrition recommendations tailored to an individual’s lifestyle.

“Above the Trend Line” – Your Industry Rumor Central for 2/23/2021

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

AI Will Take Construction Robotics from Hype to Reality

The general awareness AI and deep learning can bring to the table are the first steps to make robotics useful in construction. Building the first steps to unite these technologies, Buildots, an AI startup, attaches 360 cameras onto project managers’ hardhats to collect footage inside the construction site and analyze the data to deliver comprehensible results.

Best of arXiv.org 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 arXiv.org 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.