Sign up for our newsletter and get the latest big data news and analysis.

Movies, Neural Networks Boost AI Language Skills

When we discuss about artificial intelligence (AI), how are machines learning? What kinds of projects feed into greater understanding? For our friends over at IBM, one surprising answer is movies. To build smarter AI systems, IBM researchers are using movie plots and neural networks to explore new ways of enhancing the language understanding capabilities of AI models.

IoT Feeds Data Stream to AI Application Converge for Real-time, Sideline Insights

In this contributed article, Jason Mann, Vice President of Internet of Things (IoT) at SAS, discusses how IoT creates enormous streaming data volumes, much of it unused or lost. Data lost is opportunity missed. The key to unlocking the value of IoT data is with AI applications that self-learn and automate actions. AI applications – created with analytics and using real-time IoT data – can reveal new business opportunities long before the competition wakes up.

The Dangers of Algorithmic Bias

In this special guest feature, Sanjay Arora, CEO and Founder of Million Short, examines the dangers of algorithmic bias. It’s tempting to regard algorithms as objective, unbiased constructs that are free from the corruptive influence of human prejudices and biases. Unfortunately, this is seldom the case. Because algorithms are designed by humans – and increasingly learn by observing human behavior – they tend to adopt the biases of their developers and of society as a whole.

Evolution of Storage and the Demise of Prehistoric Storage Solutions

Our friends over at Hedvig produced the compelling “Jurassic” themed infographic below on the evolution of storage and the demise of prehistoric storage solutions. The graphic exposes the data explosion that has taken place in the last decade, and why this has caused the near extinction of outdated storage solutions in terms of the many challenges these prehistoric solutions presented.

Big Data Day LA 2018

Get ready for the local big data event of the year! The 2018 edition of Big Data Day LA is taking place on Saturday, August 11, 2018 at the University of Southern California. This full-day conference is a great way to immerse yourself in everything data with sessions tracks on diverse topics: Data, AI/ML/Data Science, Emerging Tech, Infrastructure and Security, and Visualizations/UI/Use Cases.

Data Science at Microsoft – Interviews with Practitioners

In this technical brief I wanted to pass along some great resources in support how data scientists approach their profession and illustrate the kind of background a typical data scientist might have to become successful. insideBIGDATA previously featured four compelling podcast interviews with Microsoft data scientists.

How Retail Can Thrive Using AI as ‘The Human Touch’

In this special guest feature, Shana Pilewski, Head of Content at Dynamic Yield, takes a look at retail coupled with the benefits and challenges with adopting today’s leading technologies like AI and machine learning. Specifically, the key to humanizing experiences and influencing action is to treat each outcome as unique and dynamically respond to each customer individually, a feat which can only be scaled with machine learning.

Interview: Bill Waid, VP and General Manager, FICO Decision Management Suite

I recently caught up with Bill Waid, VP and General Manager of FICO Decision Management Suite to discuss FICO’s long and deep history with AI and machine learning in the solution of business problems, most notably fraud detection. Bill also outlines the evolution of the company’s use of this technology with its cloud enabled platform that combines analytics, decisions, and optimization into a Decision Management Suite (DMS).

Interview: Jamie Engesser, VP Product Mangement at Hortonworks

I recently caught up with Jamie Engesser, VP Product Mangement at Hortonworks during the company’s DataWorks Summit 2018 conference in San Jose, California, to get an update on his company’s direction and his sense for the pulse of the big data industry.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2018

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.