13 July 2023 - Emerging Technologies Meeting Agenda

[psmulovics]

Date

13 July 2023 - 10 am EST / 3pm BST

Untracked attendees

• Fullname, Affiliation, (optional) GitHub username
• ...

Meeting notices

• FINOS Project leads are responsible for observing the FINOS guidelines for running project meetings. Project maintainers can find additional resources in the FINOS Maintainers Cheatsheet.

• All participants in FINOS project meetings are subject to the LF Antitrust Policy, the FINOS Community Code of Conduct and all other FINOS policies.

• FINOS meetings involve participation by industry competitors, and it is the intention of FINOS and the Linux Foundation to conduct all of its activities in accordance with applicable antitrust and competition laws. It is therefore extremely important that attendees adhere to meeting agendas, and be aware of, and not participate in, any activities that are prohibited under applicable US state, federal or foreign antitrust and competition laws. Please contact legal@finos.org with any questions.

• FINOS project meetings may be recorded for use solely by the FINOS team for administration purposes. In very limited instances, and with explicit approval, recordings may be made more widely available.

Agenda

• [x] Convene & roll call
• [x] Display FINOS Antitrust Policy summary slide
• [x] Review Meeting Notices (see above)
• [x] Approve past meeting minutes
• [ ] Welcome & Announcements
  • [x] New Brain Trust Members
  • [ ] Updates on current projects
  • [x] Updates on Blog
  • [x] Notices about upcoming events/deadlines
• [ ] POC Program
  • [ ] Overview of existing blockers for ransom
  • [ ] Status updates on existing programs
  • [ ] Showcase announcements (if applicable)
• [ ] Deep Dive
  • [x] Presentation on latest Primer
  • [ ] Interview with external SME or industry insight
• [ ] Any other Admin
  • [ ] Changes to program
  • [ ] Proposals for new Primer topics
  • [ ] Prioritisation changes for existing publication schedule
• [ ] Call to action
  • [ ] POC Program
  • [x] Primers
  • [ ] Brain Trust membership
• [x] AOB
• [x] Thanks & Close Out

Zoom Details

• https://zoom.us/j/98538837792?pwd=ZHg3QVVnaCtOT0tEZSs5c0hrZTg1dz09
• Meeting ID: 985 3883 7792
• Passcode: 152455

Join by Phone

• Find your local number: https://zoom.us/u/adl5rhui4P

[tenatzen]

Keith O'Donnell | Feynic Technology

[carlyrichmond]

Carly Richmond | Elastic

[padraignix]

Patrick Downing | Morgan Stanley

[wendallkaters]

Kendall Waters Perez | LF, FINOS

[ditomike]

Mike Wilson | ZNGLY

[psmulovics]

Peter Smulovics / Morgan Stanley

[vbandi]

András Velvárt | Response

[mimiflynn]

Mimi Flynn / Morgan Stanley

[mcleo-d]

James McLeod / FINOS

[Julia-Ritter]

Julia / FINOS

[brunodom]

Bruno Domingues | Intel

[TonyC-NextWave]

Tony Clark | NextWave

[max-miz]

Max Mizzi | MLH

[laylawhite82]

Layla White - TechPassport

[njwilliams]

Nick / Morgan Stanley

[Perelmuter]

Rimma Perelmuter - FINOS

[alvin-c-shih]

Alvin Shih / Morgan Stanley

[ronaldssebalamu]

Ronald Ssebalamu / FINOS

[raj-alphastream]

Raj Sark / MyXupo Glasgow

[ShanzyHolm]

Shannon Holmes / Morgan Stanley

[padraignix]

Meeting minutes (@vbandi this time with 100% more AI!)

00:39 - Peter Smulovics (he/him, MS): Welcomes everyone. Good evening. One or 2 more minutes for people to join. 03:17 - Julia Ritter: Julia Ritter kicks off the meeting with meeting notices about project guidelines, codes of conduct, industry participation, antitrust policies, and the recording of meetings. 04:50 - Peter Smulovics (he/him, MS): Peter Smulovics requests attendees to visit the Github link for attendance. 05:03 - Keith J. O'Donnell: Keith introduces the agenda and skips the Poc program part. 05:34 - Keith J. O'Donnell: Keith provides updates on blogs, videos, upcoming events, and introduces new team members Carly Richmond, Leonardo Mordasini, and Polina Levyant. 09:02 - Keith J. O'Donnell: Keith discusses AI, weak AI, strong AI, artificial general intelligence (AGI), and superintelligence. He then delves into the history of AI, including the Turing test and adversarial programs. 14:50 - Keith J. O'Donnell: Keith mentions the XCD and adversarial programs playing checkers in the 1950s. 15:50 - Keith J. O'Donnell: mentions the clever development of the first instance of Alpha beta through a serial network, laying the groundwork for future AI applications. 16:26 - Keith J. O'Donnell: discusses the emergence of the term "artificial intelligence" and how people attempted to cheat homework using intelligent programs. 17:00 - Keith J. O'Donnell: talks about the development of algorithms in applied mathematics and provides a quick break. 16:16 - Keith J. O'Donnell: introduces an algorithm and challenges the audience to figure out its meaning. 16:16 - Keith J. O'Donnell: confirms that the algorithm proves one plus one equals two and explains its significance in training algorithms for problem-solving. 17:00 - Keith J. O'Donnell: describes the development of perception and the first single-layer neural network by Frank Rosenblatt. 17:00 - Keith J. O'Donnell: mentions the development of chatbots, industrial robots, and advancements in natural language processing in the 1960s. 18:00 - Keith J. O'Donnell: highlights the significance of Dendr and its impact on organic chemistry and drug development. 18:00 - Keith J. O'Donnell: discusses the first general-purpose robot, Shaky, and its ability to reason and make decisions. 18:00 - Keith J. O'Donnell: talks about the development of backpropagation and its impact on deep learning. 18:00 - Keith J. O'Donnell: mentions the progress made in the 1970s and Marvin Minsky's role in speech recognition. 19:00 - Keith J. O'Donnell: introduces the Stanford car, the first autonomous vehicle, and its navigation capabilities. 19:00 - Keith J. O'Donnell: talks about advancements in robotics, including music-reading robots and self-driving cars in the 1980s. 19:00 - Keith J. O'Donnell: mentions the portrayal of technology in movies and its impact on public perception. 20:00 - Keith J. O'Donnell: discusses the development of long short-term memory (LSTM) and its applications in handwriting and speech recognition. 20:00 - Keith J. O'Donnell: recounts the game between Gary Kasparov and Deep Blue, showcasing computers' ability to play complex games. 20:00 - Keith J. O'Donnell: describes the Furby as a simulation of artificial intelligence and its impact on familiarizing people with machine learning concepts. 20:00 - Keith J. O'Donnell: moves into the 21st century, highlighting the advancements in robots working in hospitality and self-driving cars. 21:00 - Keith J. O'Donnell: mentions the triumph of AlphaGo and its ability to defeat human players in the game of Go. 21:00 - Keith J. O'Donnell: provides an overview of the current landscape of AI development tools and discusses their applications in finance and insurance. 21:00 - Keith J. O'Donnell: mentions the plans to create primers focusing on commercialization, ethics, and security vulnerabilities. 22:00 - Keith J. O'Donnell: talks about the importance of collaboration and use within the open-source community. 22:00 - Keith J. O'Donnell: discusses technology readiness levels and their relevance in assessing the maturity of AI technologies. 23:00 - Keith J. O'Donnell: introduces the concept of technology readiness scale and its different stages. 24:00 - Keith J. O'Donnell: explains the purpose of technology readiness levels in evaluating the maturity of AI technologies. 25:00 - Keith J. O'Donnell: discusses specific technology readiness levels for different AI disciplines and identifies potential blockers. 26:00 - Keith J. O'Donnell: highlights the importance of model validation, monitoring, and machine learning deployment platforms. 26:00 - Keith J. O'Donnell: talks about the importance of resource optimization and the need for specific hardware and operating systems. 27:00 - Keith J. O'Donnell: discusses computer vision and natural language processing, emphasizing the need for common frameworks and standards. 28:00 - Keith J. O'Donnell: addresses the intersection of quantum computing and AI and mentions the Venn diagram overlap of emerging technologies. 28:00 - Keith J. O'Donnell: responds to a comment about missing aspects in the primer related to use cases, training, and data sources. 29:00 - Keith J. O'Donnell: encourages discussion and comments from the participants. 29:00 - Keith J. O'Donnell: opens the floor for any further comments or questions. 29:26 - Velvárt András: mentions the entire process of developing an AI and raises questions about key participants in the industry and the need for compute power. 29:32 - Velvárt András: asks about copyright and licensing considerations for the primer and its readiness. 30:02 - Keith J. O'Donnell: proposes creating a series of videos to address the mentioned topics and adds them to the list of things to include in the primer. 30:30 - Nick Williams: suggests including a primer section on definitions of terms and discusses the importance of providing content that doesn't require watching videos. 31:03 - Keith J. O'Donnell: acknowledges the vastness of the field and agrees to include governance and regulatory aspects in the primer. 31:29 - Keith J. O'Donnell: thanks Michael Wilson for his contribution and discusses the value propositions that will be included in the primer. 34:48 - Nick Williams: suggests adding a primer section on governance and regulations in the financial sector for using AI. 35:54 - Keith J. O'Donnell: mentions including security vulnerabilities, fair use, and licenses in the primer and highlights the need for governance considerations. 36:05 - Keith J. O'Donnell: invites participants to raise any questions or contribute to the discussion. 36:11 - Keith J. O'Donnell: presents the core blockers identified for experimentation, including AI chipsets, neural networks, and generative adversarial networks. 38:18 - Keith J. O'Donnell: discusses the need to understand the needs of industries and establish a common data language and synthetic data rule set. 39:07 - Keith J. O'Donnell: mentions the importance of working with regulators, audit and risk professionals, and addressing data quality and observability. 39:26 - Keith J. O'Donnell: highlights the need for experiment tracking and addressing technical debt in AI-specific tasks and platforms. 39:37 - Keith J. O'Donnell: emphasizes the mathematical modeling of drifting bias and the importance of avoiding PR disasters like the "Tay to Twitter" incident. 40:04 - Keith J. O'Donnell: introduces the goal of creating a machine learning application in a box for micro deployment and experimentation on various platforms. 40:13 - Keith J. O'Donnell: discusses the customization of out-of-the-box machine learning kits for specific purposes, such as micro-training a natural language processing system for analyzing financial contracts. 40:24 - Keith J. O'Donnell: highlights the importance of customizing machine learning models and modules for specific purposes and use cases. 40:43 - Keith J. O'Donnell: emphasizes the need for technologists within the fintech industry to improve efficiency and optimization in their applications. 41:12 - Keith J. O'Donnell: mentions the importance of computer vision and its industrial maturity for diverse use cases. 41:58 - Keith J. O'Donnell: discusses the significance of natural language processing and its potential for increasing industrial collaboration. 42:13 - Keith J. O'Donnell: invites the community to contribute thoughts, ideas, and suggestions for the Zenith project. 42:39 - Nick Williams: raises a question about the security and veracity of data used in machine learning models. 43:10 - Keith J. O'Donnell: acknowledges the importance of data security and welcomes feedback from the community. 43:14 - Keith J. O'Donnell: suggests making iterative updates to the primer based on community input and requirements. 45:00 - Keith J. O'Donnell: provides information on accessing the mailing list for updates and publications related to Zenith. 46:05 - Keith J. O'Donnell: announces the focus of the next deep dive session on commercialization and enterprise readiness. 46:44 - Keith J. O'Donnell: encourages community members to contribute to the ongoing development and refinement of the primer. 47:25 - Keith J. O'Donnell: opens the floor for any additional discussion or topics from the community. 51:32 - Velvárt András: inquires about getting started with the primer and suggests collaborative document creation. 52:41 - Keith J. O'Donnell: acknowledges the need to get the primer document up and running and plans for further discussions on specific topics. 53:21 - Keith J. O'Donnell: expresses the goal of enhancing accessibility solutions through computer vision and collaboration. 53:59 - Keith J. O'Donnell: invites community input, ideas, and suggestions for the primer and Zenith project. 54:09 - Nick Williams: raises concerns about the security aspect of data used for financial advice and suggests addressing it in the primer. 54:36 - Keith J. O'Donnell: acknowledges the importance of data security and encourages feedback and suggestions from the community. 56:19 - Keith J. O'Donnell: emphasizes the iterative nature of the primer and welcomes community involvement and additions.