What’s the Difference Between AI, ML, Deep Learning, and Active Learning?


Kiran VajapeyToday, the terms artificial intelligence (AI) and machine learning (ML) are often used interchangeably. While the terms are related, they mean different things. We map out how they all relate to one another, so your team can find the best candidates, best approaches and best frameworks as you embark upon your AI journey.

Trading Favors the Technologist: The Buy-Side Technology Arms Race


Campbell PetersWhile buy-side firms have built out their technology and analytics teams considerably, most firms still outsource execution algos from their brokers. This is especially true for fundamental firms, as quantitative firms are more likely to develop some of their algos in-house. These quant firms have been the most willing to adopt emerging technologies, such as machine learning and AI, since they have the resources to develop and test the functionality in-house if needed.

Buy Side Turning to Technology to Meet Today’s Challenges


Monica Summerville – The practical reality of this means robotic process automation (RPA), as opposed to AI – e.g., machine learning (ML) and Natural Language Processing (NLP) techniques – are more likely to be implemented to start.

APIs are the next big SaaS wave


Daniel Levine – For fast-moving developers building on a global-scale, APIs are no longer a stop-gap to the future—they’re a critical part of their strategy. Why would you dedicate precious resources to recreating something in-house that’s done better elsewhere when you can instead focus your efforts on creating a differentiated product?

Thanks to this mindset shift, APIs are on track to create another SaaS-sized impact across all industries and at a much faster pace. By exposing often complex services as simplified code, API-first products are far more extensible, easier for customers to integrate into, and have the ability to foster a greater community around potential use cases.

APIs – Bridging the Connectivity Gap


Godfried De Vidts – Hidden between front and back office, small but highly important technical solutions are emerging. Take for example the Application Programming Interface (API). An API is a software intermediary that allows two applications to talk to each other. In other words, an API is the messenger that delivers your request to the provider that you’re requesting it from and then delivers the response back to you. It is a set of commands (that can be used to send and receive data over a local network or the Internet), functions, protocols, and objects that programmers can use to create software or interact with an external system. APIs have been developed between individual participants.

Integrated Technology Stack for the Sell Side Is Key


Lisa Bravo, Bloomberg LP- By creating a systematic, streamlined workflow that prioritizes intraday risk metrics, it’s possible to solve for some of the biggest sell-side challenges, including tech stack fragmentation and adherence to new requirements. The key lies in integrating all the disparate elements – sifting through analytics in a piecemeal way, for example, wastes time. Integrating the workflow allows traders and salespeople to move much faster and use that efficiency to capitalize on trade ideas.