Morgan Slade talks about NLP considering security measures. He underlines the importance of data science in the competitive era setting them apart from the rest.
1. Tell us how you came to be the CEO at CloudQuant. How much of your typical day is involved in innovating tech for your customers?
After studying engineering and finance at MIT, I spent over two decades as a hedge fund portfolio manager for a number of world’s largest hedge funds and having led some of the largest high frequency trading desks in the world. During that experience, I became acutely aware of the difficulties of harnessing the power of alternative data and machine learning in the investment industry. We essentially created CloudQuant to accelerate the conversion of data into dollars.
2. What are the applications or rather opportunities you seek to have with your product?
MOST VENDORS DELIVER “RAW DATA” TO CLIENTS AND EXPECT THEM TO TAKE IT FROM THERE. TO VARYING DEGREES, DATA CONSUMERS ARE ONLY PARTLY EQUIPPED TO TURN THAT DATA INTO INFORMATION, UNDERSTANDING AND ULTIMATELY REVENUE.
We fill that gap, by providing easy consistent data access into any technology stack whether it be on-prem or on the cloud, we provide our SaaS analytics stack as needed to fill any gaps and we engage our data clients as data scientists, AI experts and educators to help them understand what datasets they need and what they need to know about them.
We fill that gap, by providing easy consistent data access into any technology stack whether it be on-prem or on the cloud, we provide our SaaS analytics stack as needed to fill any gaps and we engage our data clients as data scientists, AI experts and educators to help them understand what datasets they need and what they need to know about them.
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