Ahead of DATAx New York’s AI & Big Data for Banking Summit, we speak to Poulomi Damany, vice-president of data product management at Credit Karma, about the how the personal finance company utilizes AI and analytics to enhance its customer service
As the playoffs are in full swing, everyone is littering their speech with baseball apologies, “We are only at the bottom of the first inning for all these technologies,” declared Pano Anthos at last week’s RoboLab forum. When illustrating his point, Anthos deconstructed one of XRC Labs‘ portfolio companies which utilizes computer vision to identify store merchandise. “Right […]
Imagine having a personalized robot on your computer that you could delegate all your mundane, boring, every-day tasks to? Well, that’s a reality ever since Softomotive was established in 2005. This London startup was founded on the belief of democratizing RDA (robotic desktop automation) by enabling everyone to have their own personal robot on their […]
Conventional thinking in business has long been that strategic decisions are made by humans, while the focus of automation and machine learning should be on execution. With the speed of change and volume of market feedback today, as well as the advances in machine learning, Amazon, Alibaba, and others have proven the value of software-driven strategy decisions.
Traditional patent software solutions have been fairly simple, limited to allowing companies to file more patents and check whether an invention is actually new or not. But Aistemos is the analytics company that is taking patent software to the next level through its product called Cipher. Cipher uses AI to identify, classify, and analyse patents […]
Trying to find the perfect candidate for a job can take forever so that is why Beamery is combining AI and marketing software to make the recruiting process easier. By creating metrics to define and forecast new initiatives, Beamery is turning recruiting from a reactive to a proactive function through its API middleware layer that […]
It’s been an exciting, but complex year in the data world. Just as last year, the data tech ecosystem has continued to “fire on all cylinders”. If nothing else, data is probably even more front and center in 2018, in both business and personal conversations. Some of the reasons, however, have changed. On the one hand, […]