Conference Day Two: March 18 2020

8:00 am - 8:50 am Welcoming tea, coffee and registration

KEYNOTES & OPENING PLENARY SESSIONS

8:50 am - 9:00 am Chair's opening remarks

9:00 am - 9:30 am Black box vs Explainable AI



9:30 am - 10:00 am Keynote: Quantum computing and future of finance


10:00 am - 10:30 am Using ML to build a robust investment philosophy for a competitive edge


10:30 am - 11:00 am Networking refreshment break in the exhibition area


11:00 am - 11:50 am Panel: Building the data teams of the future by hiring the best, diverse talent


11:50 am - 12:30 pm Panel: Keeping a competitive edge past the use of alt data


12:30 pm - 1:30 pm Networking lunch in the exhibition area


AFTERNOON STREAMS

STREAM A

1:30 pm - 1:35 pm Stream A: Alt Data Case Studies

STREAM A

1:35 pm - 2:05 pm Assessing and evaluating the value from competitive datasets/multiple vendors

STREAM A

1:35 pm - 2:05 pm Panel: Determining the right combination of datasets to manipulate to gain an edge

STREAM A

2:45 pm - 3:25 pm The future of alt data – unlocking the full potential of non-market data

STREAM B

1:30 pm - 1:35 pm Stream B: Quant and Risk Methods


STREAM B

1:35 pm - 2:05 pm Adapting risk assessment methodologies depending to your investment approach

STREAM B

2:05 pm - 2:45 pm Integrating machine learning and fundamental insights to manage risk effectively

STREAM B

2:45 pm - 3:25 pm Managing and modelling risk using ML for portfolio optimization

STREAM C

1:30 pm - 1:35 pm Stream C: Future/Innovative Tech


STREAM C

1:35 pm - 2:05 pm Proliferation and advancement of newer, ML-driven funds

STREAM C

2:05 pm - 2:45 pm Introduction and impact of quantum

STREAM C

2:45 pm - 3:25 pm Intersection of AI and blockchain for trading

3:25 pm - 3:50 pm Networking refreshment break in the exhibition area

STREAM A

3:50 pm - 3:55 pm Stream A: Market Microstructure and HFT


STREAM A

3:55 pm - 4:15 pm Large scale application of ML in microstructure research


STREAM A

4:15 pm - 4:55 pm Using ML to model market microstructure data and analysis

STREAM A

4:55 pm - 5:15 pm Extracting signal from HFT microstructure data to build effective predictive models

STREAM B

3:50 pm - 3:55 pm Stream B: ESG and sustainable investing

STREAM B

3:55 pm - 4:35 pm Panel: Overcoming the data problem with ESG

STREAM B

4:35 pm - 4:55 pm Case study: AI/ML enabled sustainable investing

STREAM B

4:55 pm - 5:15 pm Conducting NLP-based ESG analysis

STREAM C

3:50 pm - 3:55 pm Stream C: Data Ethics and Privacy



STREAM C

3:55 pm - 4:15 pm Data ownership and exclusivity

STREAM C

4:15 pm - 4:55 pm Panel: How to build an internal framework surrounding digital ethics and removing AI bias

STREAM C

4:55 pm - 5:15 pm Understanding future regulatory and legal risks of alt data

KEYNOTES AND CLOSING PLENARY SESSIONS

5:15 pm - 5:15 pm Close of conference