Data Trends for Investment Professionals

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Essential Data Feeds for Artificial Intelligence

Artificial intelligence is a hungry beast. It subsists on a continuous input of trillions of data points, incessantly churning, chewing and spitting out insights. The data scientist or AI specialist must continuously seek new data sources to feed the beast and fine-tune their creation. At Quandl we’re accustomed to providing financial professionals with new and unique data feeds to augment their trading strategies. In recent months, however, we’ve seen a notable increase in the number of AI and machine learning companies requesting such data. To us, this signals growth in the number of AI practitioners deploying functional algorithms in business....

Announcing Quandl’s Alternative Data Conference 2018

Quandl's Alternative Data Conference Returns to New York City We’re pleased to announce the second annual Quandl Alternative Data Conference on January 18, 2018 in New York City. This premier data event for investment professionals will help you keep your finger on the pulse of the rapidly evolving alternative data ecosystem. In addition to an action-packed, one-day program, ADC 18 will do more than just introduce you to new datasets; it will help you understand and address the challenges associated with meaningful adoption of alternative data. Head over to our conference website for details or review our preliminary speaker list below....

Quandl Presents at Strata Data Conference 2017

Thinking of attending Strata Data Conference New York 2017? We’re excited to announce that on September 26, Quandl’s Chief Data Officer, Abraham Thomas, will be presenting a talk on logistics data. Entitled “Oh buoy! How data science improves shipping intelligence for hedge funds,” Thomas's presentation will delve into the many ways hedge funds use supply chain and logistics data to predict a pattern or movement in a specific security. This is an exciting area for data scientists today as financial professionals are ever-hungry for new sources of exhaust data to fuel their trading algorithms. Thomas’ talk will take place at...

Quandl’s Guide to Monetizing Alternative Data

Many businesses from start-ups to multinational corporations have begun augmenting their revenue streams — sometimes exponentially — with their exhaust data. Professional investors who fail to beat their benchmarks quickly go extinct. They now need unique and untapped sources of data to remain competitive. While most think of selling data to brands, media companies and marketers, one critical potential audience for exhaust data is Wall Street. Investors will pay for exhaust or alternative data that tells them something unique about the economy in real time. If you are the owner of such a data asset and you’re contemplating its monetization,...

The Landscape of Auto Industry Data

Since man first invented the wheel, our need to optimize the way we get around has been an almost primeval obsession. From the advent of the first motorized vehicle to self-driving cars, the auto industry has evolved quickly in its embrace of technology. We are now experiencing what is probably the greatest advancement in the automotive sector since Henry Ford first designed his moving assembly line: the rise of the connected car. Per Scotiabank’s BI Intelligence Estimates, by 2020 more than 75% of new cars shipped will be Internet-connected. From reading your Facebook notifications to measuring safety and engine health,...

The Results Are In: Feedback on the Alternative Data Weekly

We asked and you answered. In our mission to continually improve the digital experience across all channels, we recently sent a survey to subscribers of our Alternative Data Weekly newsletter to gain insight on what you most enjoyed reading, what industries were of interest and what content you would like to see more of. We had a great response to the request and thank all those who took the time to help enrich our newsletter. The feedback was overall positive with 82% of readers stating that they would recommend the Alternative Data Weekly to a friend. We also asked what...

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