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ODSC East DeepOps: Building an AI First Company
I’ve spoken to over a hundred AI companies as part of my job at MissingLink.ai and the result of analyzing their experiment, data and compute workflows. Certain challenges were a common theme across many teams – the solutions to these is a concept we call “DeepOps”, deep learning operations.... Read more
Searching for a Data Colander for Automatic Data Cleaning
Editor’s note: The following is an article written by Devavrat Shah of MIT and Christina Lee Yu of Cornell University. Be sure to check out their presentation at ODSC East 2019, “Predictions in Excel through Estimating Missing Values”.” The stated mission of Data Science or Data-Driven AI is to... Read more
Data Science + Design Thinking: a Perfect Blend to Achieve the Best User Experience
  It’s one thing to rely on artificial intelligence, machine learning, and big data to make your product smarter.  And, quite another to build a product that’s so intuitive and easy-to-use that your customer falls in love with it. That’s the beauty of data science + design thinking. It’s... Read more
How LinkedIn Navigates Streams Infrastructure Using Cruise Control
The past decade has witnessed a growing adoption of automation and artificial intelligence (AI) in various industries. This trend helped companies optimize their custom workflows in a cost-efficient manner, avoid the missed deadlines, and enhance the quality of life of its consumers. Naturally, these benefits have boosted the popularity... Read more
Using NLP and ML to Analyze Legislative Burdens Upon Businesses
The process of legal reasoning and decision making is heavily reliant on information stored in text. Tasks like due diligence, contract review, and legal discovery, that are traditionally time-consuming, can be automated, saving a huge amount of time. This makes the development of approaches that leverage natural language processing... Read more
Watch: Applied Finance – The Third Culture
What can financial analysts learn from computer scientists about data science? And can computer scientists change their approach to appeal to finance professionals? Data scientists typically argue about the relative merits of the statistical and algorithmic approaches to data mining (Leo Breiman – The Two Cultures). Anyone who has... Read more
Good, Fast, Cheap: How to do Data Science with Missing Data
When doing any sort of data science problem, we will inevitably run into missing data. Let’s say we’re interviewing 100 people and are recording their answers on a piece of paper in front of us. Specifically, one of our questions asks about income. Consider a few examples of missing... Read more
Unleashing the Power of AI Machine Learning to Improve the Hiring Process
Undoubtedly, the power of machine and algorithmic driven intelligence empowered by exponentially growing data – collectively referred to as artificial intelligence (AI), riding on the cusp of cloud-based computing, has tremendously revolutionized our visions and perception beyond any bounds. Cumulatively, rapid scaling of digital technologies is driving out-of-box boundaries... Read more
Stream Data Processing with Apache Kafka and TensorFlow
Editor’s note: Yong is a speaker for the upcoming ODSC East 2019 this April 30 – May 3! Be sure to check out his talk, “Deep Learning for Real Time Streaming Data with Kafka and TensorFlow.” As one of the most popular deep learning frameworks, TensorFlow has been used... Read more
The Promise of Retrofitting: Building Better Models for Natural Language Processing
Editor’s note: Catherine is a speaker for the upcoming ODSC East 2019 this April 30-May 3! Be sure to check out her talk, “Adding Context and Cognition to Modern NLP Techniques.” OpenAI’s Andrej Karpathy famously said, “I don’t have to actually experience crashing my car into a wall a... Read more