Tag: Machine Learning

When we started GenY Labs a couple of years ago, infrastructure was one of the biggest challenges for us. It wasn’t easy to find machine learning-tuned hardware. Even if we did identify an infrastructure service provider, the challenge was the ability to change the algorithm on their platform. With ambition and fire in the belly, our team at GenY Labs set out to solve this problem.

AI picked up a lot of heat through 2017 and 2018. In what felt like an overnight rush, interest exploded, as fresh information, new techniques, new products, and new risks hit the scene. News reports came in massive waves, and businesses scrambled to figure out where AI fit into their product offerings.

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.

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.

Mackenzie Kosut, Global Startup Evangelist, and Startups on Air, Kosut’s video series, took London by storm last week, chatting with CEOs, CTOs, and lead engineers from eight different startups throughout the city.

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.

There’s nothing like rolling through the streets of San Francisco in a Jaguar F-Type with Katy Perry blaring through the speakers, as Mackenzie Kosut, our resident startup evangelist, recently discovered on a trip to San Francisco. Kosut was in town to chat with big data analysis company Periscope Data, customer data platform Segment, and peer-to-peer […]