Conference Day Two: March 18 2020

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

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