By Rob Daly

Outlook 2017: Tom Doris, OTAS

This entry is part 17 in the series Outlook 2017


Tom Doris is CEO of equity-analytics provider OTAS.

Which hot topics/hype should be retired at the end of 2016?

Some of the hype around artificial intelligence (AI) has died down and now we’re seeing more serious and sensible attempts to use the new methods as a tool to deliver real value to the investment process. Getting past the buzz will allow firms to focus on defining what role AI will play and how traders can best work with these technologies.

As we move away from the far-fetched sci-fi ideas, the focus can move to how these technologies can solve specific problems, and just as importantly, to understand where they should not be applied.

The important point is that market data volume and information overload has been one of the main challenges faced by traders for many years, we now have tools that really can provide good solutions to extract the important information, which is a huge breakthrough. But like any new technology, once the hype dies down, there’s a lot of work to be done on the awkward problems of getting the technology into the right platforms, and into the workflow of the users, and feeding into the firms’ audit trails.

What changes do you expect to see in regards to machine learning and analytics in 2017?

Tom Doris, OTAS

Tom Doris, OTAS

As an industry we have been moving towards more of an ecosystem model for the first time. Thinking has evolved with a rapid change in attitude from keeping everything in-house to placing a priority on innovation and collaboration.

Firms want to focus on the work and look towards a collective ecosystem with third-party provider content in their workflows. We are also seeing a democratization of technology across the industry where everything is much more open and standards-based. This creates a more even playing field and opens up access for startups to innovate and deliver scalable solutions. As the regulatory environment changes and firms work to adhere to new requirements, this ecosystem and collaborative approach is even more vital to success. We need to work together to build solutions to fix these problems and create a healthier, even playing field.

Related articles

  1. With Eugene Kanevsky, James Redbourn, and Joanna Wong, CLSA

  2. AI/ML on the buy-side trading desk is a long-term program with short- and mid-term deliverables.

  3. Aiden uses the computational power of deep reinforcement learning to improve trading results and insights.

  4. OPINION: Artificial, Yes. Intelligent? Maybe.

    BondDroid’s AI-generated prices are integrated directly into LTX’s pre-trade analytical tools.

  5. Fintech firm has partnered with Jim Toffey, founder of Tradeweb Markets, to create LTX.