Tag: Machine Learning

When it comes to transforming floods of raw data into clear, decisive business intelligence, Periscope Data remains on the cutting edge. To keep their commitment to their consumers, Periscope Data has developed a machine learning solution that leverages Amazon SageMaker as a core part of its machine learning workflow.

There are two key types of market participants; those who are trying to make money from the markets and those who are assigned to police those trying to make money. Examples of the former type include investment banks, hedge funds and asset managers, while examples of the latter includes in-house compliance, financial regulators and exchange surveillance teams.

To get a better understanding of the service and how it came to be, we sat down with one of the product managers of SageMaker, Kumar Venkateswar. He told us about what the team set out to build, the problems they were looking to fix, and what startups are currently using the service.

Before the propagation of machine learning (ML) and AI to the general public, the news curating services were expensive, meaning they were largely out-of-reach for the average retail investor. Now, however, machine learning and Big Data are changing the game again.

What do emergency responders, critical infrastructure asset managers, and miners have in common? All are people who must make decisions quickly in complex situations—often from remote and dispersed locations.

“Ultimately, my creativity is very limited, but your creativity is large,” said Alex Smola, Amazon Web Services Director of Machine Learning, to the assembled audience at the Collision Conference in New Orleans. “You can do amazing things with the tools that we’ve built.”

For most adventurers, hiking the Pacific Crest Trail would be a crowning achievement in its own right. But one Caltech professor is upping the ante: he wants to design a robot that can complete the famous trek, all with outside assistance. That’s why Dr. Aaron Ames and his team have created Cassie, the world’s first fully autonomous robot designed to navigate the harshest and most complex environments in the world.

As the co-creator, with Cornell Tech Professor Serge Belongie, of the AI and machine learning-based visual classification system Visipedia, Pietro Perona has spent the past seven years working on a “switchboard” that lets anyone, everywhere ask questions and immediately obtain an answer.

Assigning credit risk to people who apply for business loans, credit cards, and home mortgages has mostly been done by weighing some 10 or 20 attributes. Take those attributes—and we’re all familiar with some of the things that make our credit scores rise and fall, including timeliness of payments, debt to income ratio, and defaults—and crank them through your favorite logistic regression model or scorecard. The result is your assigned credit risk, and depending on the number, you either get your loan or you don’t.

Listen as Jereowen Bouwman tells AWS about the original idea for Get Social, how he successfully pivoted from being a consumer-facing company to a B2B product, and why machine learning is not for every startup.