A.I. and Advanced Analytics are generating millions of alphas every day. The influx of innovation has transformed the industry to be more efficient and helped firms optimize strategies. Topics for this stream will include Machine Learning, A.I. design, Deep Neural Networks, back-testing, and more.





A.I. & Advanced Analytics, Wednesday 8 May 2019

Robert Creamer

Competitive Strategies – harnessing new technologies to stay viable/ahead

Panel discussion

State of the Crypto Market – How will the rise of cryptocurrencies impact portfolios, electronic trading desks and capital markets at large?

  • Institutionalization – what entities are beginning to accept/introduce cryptocurrencies as a legitimate form of currency?
  • Regulatory Risks - what developments do risk-averse institutions need to see on the regulatory front to quell concerns about compliance?
  • Product Integration – how will additional financial products like ETFs and crypto futures impact the market?
  • Capital Inefficiencies – is there a better way to manage the necessary capital for bid requests across multiple exchanges?
  • Rebuilding infrastructure – making exchanges more user-friendly for efficient trading
Steve Kurz, Head of Asset Management and Global Distribution, Galaxy Digital

Tokenization and tomorrow's global economy

Panel discussion

Low Latency Components – Building the infrastructure for accelerated trading

  • FPGA vs. ASIC: valuing low cost chips against faster speed processing
  • Software Development: experimenting with coding to construct the fastest system
  • Human Capital: tapping into other industries for the best coding talent
  • Testing, development and integration – what tools and technology are necessary to build and test FPGA and ASIC applications?
Session led by: supermicro
Session led by: solarflare
A.I. & Advanced Analytics

Real-time analytics – using connectivity to better predict future market movements

Panel discussion
A.I. & Advanced Analytics

AI and Machine Learning – how markets will move forward

  • Building the system: managing the costs of infrastructure through greater technology investment
  • Learning prospects: what opportunities are machine and deep learning systems providing financial markets
  • Technology Crossroads: examining the intersection of artificial intelligence and blockchain
  • AI vs Quants: how is AI forcing traders to deviate from traditional quant techniques?
Calvin Yu
A.I. & Advanced Analytics

GTAA implementation – using A.I. in assessing the global landscape

Igor Veksler
A.I. & Advanced Analytics

Predictive Intelligence – overcoming the barriers to AI adoption in capital markets

Session led by: datarobot
Panel discussion
A.I. & Advanced Analytics

Designing AI

  • Bridging the gap: improving the communication between product specialists and algorithm programmers
  • Supervised vs. Unsupervised: analyzing machine learning and the various ways it is contributing to generating alpha
  • Data visualization: seeing financial metrics to achieve informed trade decisions
Luca Lin, Partner, Domeyard LLC
last published: 13/Feb/19 16:06

A.I. & Advanced Analytics, Thursday 9 May 2019

David Johnston

Blockchain and the financial market – is the revolution coming or is it just hype?

  • Payments – lowering the cost of carrying out transactions
  • Data Infrastructure – using additional nodes for storage and quick access
  • M&A Transactions – greater transparency helping to facilitate takeovers
  • Lending – using blockchain assets as loan collateral
Panel discussion

AI Trading Strategies – How much should we rely on robo-advisors and algorithms to make trades?

  • Discovering the Risks – what should trading companies be most cautious of when it comes to AI?
  • Machine Learning – training the computer to spot the trends
  • Deep Learning – allowing the computer to discover what cannot be seen ourselves
  • Swarm Intelligence – getting machine learning computers to communicate with each other for better market comprehension
Panel discussion
A.I. & Advanced Analytics

TCA and AI analytics – how can AI be utilized for better trade execution?

  • Trading Strategy: confirming and developing algorithms that align with a firm’s preferred method of execution
  • System Integration: tying in datasets, 3rd party information, and analytical tools for alpha generation
  • Real-Time analytics: connecting to the most up-to-date trading costs for more informed decision making
  • Post-Trade analytics: factoring in variable’s like daily volume and volatility to optimize trading strategies
  • Vendor Relationships: the build vs. buy puzzle and working with your provider to improve performance, capacity, and cost efficiency
Panel discussion
A.I. & Advanced Analytics

Utilizing Artificial Intelligence and Machine Learning to generate a more diversified portfolio

  • Land of Opportunity: tapping into the Silicon Valley region to build more complex AI systems
  • Learning for a Purpose: realizing the true fundamental effects of machine learning to best correlate data and returns
  • Who’s moving markets: understanding the true players and their impact on prices to construct a more useful AI system
A.I. & Advanced Analytics

A.I. - responding to black swan events

A.I. & Advanced Analytics

Back-testing – determining the number of years that are best to examine

A.I. & Advanced Analytics

Data architecture – balancing storage needs with accessibility needs

Xiao Qiao
A.I. & Advanced Analytics

Nowcasting Recessions using the SVM Machine Learning Algorithm

Panel discussion
A.I. & Advanced Analytics

Evaluating Risk – algorithms that measure exposure across asset classes

  • Machine Learning: re-writing models for predictive outlook on risk
  • Modernization of data management: incorporating new technologies and open source software for smarter betas
  • Predictive analytics: using algorithmic tools to measure future risk
  • Alternative Data: using abstract information as additional risk assessment
Panel discussion

A.I. in Blockchain – how machine learning and other algorithms will impact larger scale applications of distributed ledgers

  • Learning from the ledger – keeping data on the blockchain for better visualization and improve decision making
  • Trade records – looking back in the blockchain to understand trading patterns and trends
  • Risk Management and Safeguards – how is blockchain facilitating in minimizing losses?
Moderator: Agnes Budzyn, Managing Director of Global Growth, ConsenSys
Lou Kerner, Founding Partner, CryptoOracle
last published: 13/Feb/19 16:06





Steven Reichard
+1 646-619-1777





Peter Kloak
+1 646-619-1801





Shannon McGorry
+1 646-619-1840





Michael Rothbard
+1 646-619-1802



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