As a promising field of Artificial Intelligence (AI), Deep Learning (DL) models and applications have revolutionized the financial and banking domains. Still, many practitioners and academics agree on the fact that a more comprehensive insight and state-of-the-art review that could capture the relationships between typical DL models and the financial arena is needed.
In this article, I will briefly address the recent trends in models applied in finance, what approaches are used or recommended by the expert community and what features are to take into consideration for DL/ NLP models.
Rebecca Kelly, Technical Evangelist at KX shares her thoughts on why flexibility and scalability are two important factors when it comes to data engineering for AI implementation.
We caught up with Suraj Gohil, Chief Strategy Officer and Co-founder at Fable Data to get his thoughts on the biggest challenges facing data scientists/AI experts/quantitative investors in 2021 post Covid-19 and Suraj shares his advice for funds hoping to get new systematic strategies into production quickly.
Stuart Kozola, Global Head of Finance at Mathworks shares his thoughts on the impact he thinks Biden’s presidency and policies will have on key issues affecting capital markets in 2021, addresses what he thinks fund and asset managers should be focusing on in 2021 and what he believes is happening within the alt data space as the way it is being sourced and consumed continues to change after the pandemic.
Armando Gonzalez, CEO and Co-Founder at RavenPack shares his thoughts on whether he believes ESG data can be used for as an alpha generation tool rather than just a risk management process and the changes that he has been noticing in how ESG data is being used.
Mohammed Shalaan, Chief Data Officer at Facteus, shares his advice to funds hoping to get new systematic strategies into production quickly and more often. Alongside what he considers are the biggest challenges facing data scientists/AI experts/quantitative investors in 2021 post Covid-19.
An everlasting debate: quant vs. fundamental philosophies. Traditionally, fundamental and quantitative investing was treated as two separate modes, epitomized by two iconic figures: Buffet and Simons.
Javed Ahmed, Senior Data Scientist at Metis Corporate Training, shares his thoughts on the application of machine learning techniques with financial data, along with how you can overcome the challenges of implementing these complex approaches successfully.
Paul Ross, SVP Marketing at Sentieo, shares his thoughts on the biggest challenges facing data scientists and quantitative investors in 2020/2021, the role of alt data in alpha generation and the biggest investment areas for Sentieo.
John Ashley is General Manager, Financial Services and Technology at NVIDIA - Here he answers our questions on the future of AI & the biggest challenges facing the industry.