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Programme de l'événement
Conference Room 1 (203 - ground level)Conference Room 1 (203 - ground level)
Conference Room 2 (202 - ground level)Conference Room 2 (202 - ground level)
Demo Stage 1Demo Stage 1
Demo Stage 2Demo Stage 2
Expo Stage (Exhibition area)Expo Stage (Exhibition area)
Startup StageStartup Stage
08:00
08:30
09:00
09:30
10:00
10:30
11:00
11:30
12:00
12:30
13:00
13:30
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
10/18/2023
08:50 - 09:00
Expo Stage (Exhibition area)
Opening Speech
10/18/2023
09:00 - 09:30
Conference Room 1 (203 - ground level)
Harnessing the power of data to improve the customer experience
Reet Padda
Harnessing the power of data to improve the customer experience
Conference
Expert Big Data
10/18/2023
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09:00 - 09:30
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Conference Room 1 (203 - ground level)
Reet Padda
10/18/2023
09:30 - 10:00
Conference Room 1 (203 - ground level)
Powering the next wave of innovation: modern architectures and the convergence of ML and Generative AI
Avinash Koul
Powering the next wave of innovation: modern architectures and the convergence of ML and Generative AI
Conference
Expert Big Data
10/18/2023
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09:30 - 10:00
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Conference Room 1 (203 - ground level)
Avinash Koul
10/18/2023
11:00 - 11:30
Conference Room 2 (202 - ground level)
GenAI adoption and value creation
Anantha Sharma
Sundar Kuppuswamy
GenAI adoption and value creation
Conference
Use Case AI
10/18/2023
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11:00 - 11:30
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Conference Room 2 (202 - ground level)
Anantha Sharma
Sundar Kuppuswamy
10/18/2023
11:00 - 11:30
Conference Room 1 (203 - ground level)
Privacy and data consideration when standing up LLMs
Alina Rivilis
Privacy and data consideration when standing up LLMs
Conference
Expert Big Data
10/18/2023
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11:00 - 11:30
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Conference Room 1 (203 - ground level)
Alina Rivilis
10/18/2023
11:00 - 11:30
Expo Stage (Exhibition area)
AI: transforming software development
Ryan Salva
AI: transforming software development
Conference
Technology & Application
10/18/2023
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11:00 - 11:30
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Expo Stage (Exhibition area)
Ryan Salva
Explore the transformative role of AI in software development, witnessing its efficiency, precision, and creativity enhancements while discovering how AI tools like GitHub Copilot aid in code completion and bug detection. Join us to glimpse the future of AI in software development and the remarkable transformations it holds.
10/18/2023
11:30 - 12:00
Conference Room 1 (203 - ground level)
Getting started in AI: a data analytics practitioner perspective
Richard Boire
Getting started in AI: a data analytics practitioner perspective
Conference
Expert Big Data
10/18/2023
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11:30 - 12:00
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Conference Room 1 (203 - ground level)
Richard Boire
With all the talk about AI, data scientists and data analytics practitioners are confused as to the impact of AI within their actual job role. In this presentation, we discuss the following:
The advantages that the analytics/data science practitioner has in using AI relative to other professions
The importance of data and what to do with it in order to better leverage the use of AI
An overview of how AI differs from other machine learning techniques
What are the basic things the practitioner needs to know in using AI
10/18/2023
11:30 - 12:00
Conference Room 2 (202 - ground level)
Disrupt or be disrupted: generative AI's unexpected reality check
Iurii Milovanov
Disrupt or be disrupted: generative AI's unexpected reality check
Conference
Use Case AI
10/18/2023
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11:30 - 12:00
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Conference Room 2 (202 - ground level)
Iurii Milovanov
The rapid evolution of Generative AI and Large Language Models (LLMs) is revolutionizing business innovation and unlocking unprecedented opportunities across industries. With applications ranging from personal assistants like ChatGPT, AI-powered collaboration and next-gen programming with GitHub Copilot, these technologies are becoming vital for organizations striving to maintain a competitive edge. In this session, SoftServe will explore the current state and momentum of Generative AI and LLMs, emphasizing the vast market opportunities and diverse use cases across several industries. Success stories will bring these use cases to life, illustrating the transformative power of these technologies.
10/18/2023
12:00 - 12:30
Conference Room 1 (203 - ground level)
Six trends that will 'make or break' your data strategy
Paul Moxon
Six trends that will 'make or break' your data strategy
Conference
Expert Big Data
10/18/2023
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12:00 - 12:30
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Conference Room 1 (203 - ground level)
Paul Moxon
10/18/2023
12:00 - 12:30
Conference Room 2 (202 - ground level)
Advancements in billion-scale video recommender systems
Amey Dharwadker
Khushhall Chandra Mahajan
Advancements in billion-scale video recommender systems
Conference
Technology & Application
10/18/2023
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12:00 - 12:30
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Conference Room 2 (202 - ground level)
Amey Dharwadker
Khushhall Chandra Mahajan
10/18/2023
14:00 - 14:30
Conference Room 1 (203 - ground level)
What are data brokers and how they use your data?
Kabil Rahaman
What are data brokers and how they use your data?
Conference
Expert Big Data
10/18/2023
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14:00 - 14:30
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Conference Room 1 (203 - ground level)
Kabil Rahaman
10/18/2023
14:00 - 14:30
Conference Room 2 (202 - ground level)
AI implementation strategy
Muskur Jahan
AI implementation strategy
Conference
Expert AI
10/18/2023
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14:00 - 14:30
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Conference Room 2 (202 - ground level)
Muskur Jahan
10/18/2023
14:00 - 14:20
Expo Stage (Exhibition area)
AI for good - inspiring youth
Alisha Arora
Dominick Romano
AI for good - inspiring youth
Conference
Technology & Application
10/18/2023
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14:00 - 14:20
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Expo Stage (Exhibition area)
Alisha Arora
Dominick Romano
10/18/2023
14:20 - 14:50
Expo Stage (Exhibition area)
How to disrupt your industry using Generative AI
Jimmy Lin
Joel Blit
How to disrupt your industry using Generative AI
Conference
Technology & Application
10/18/2023
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14:20 - 14:50
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Expo Stage (Exhibition area)
Jimmy Lin
Joel Blit
Join experts from the University of Waterloo as they explore the current state and future possibilities of generative AI systems. Discover how you can leverage this cutting-edge technology to stay ahead of the competition and unlock its transformative potential.
10/18/2023
14:30 - 15:00
Conference Room 1 (203 - ground level)
From data to insights. The role of data architecture in Big Data and AI
Zaki ELTwaishi
From data to insights. The role of data architecture in Big Data and AI
Conference
Use Case Big Data
10/18/2023
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14:30 - 15:00
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Conference Room 1 (203 - ground level)
Zaki ELTwaishi
The session focuses on the importance of data architecture in unlocking the potential of big data and AI. It explores key trends, best practices, and case studies in data architecture for big data and AI, and offers interactive sessions on specific topics such as designing scalable data architectures and managing data quality and high-scale ML deployment.
10/18/2023
14:30 - 15:00
Conference Room 2 (202 - ground level)
Unleashing the power of generative AI for tabular data in machine learning applications
Fatih Nayebi
Unleashing the power of generative AI for tabular data in machine learning applications
Conference
Expert AI
10/18/2023
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14:30 - 15:00
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Conference Room 2 (202 - ground level)
Fatih Nayebi
Let’s delve into the innovative applications of Generative AI in creating supervised models, feature engineering, and exploratory data analysis. Our expert in machine learning and generative AI will guide you through the latest advancements and techniques that are revolutionizing the way we approach data-driven tasks.
Key topics covered in the session include:
Discover how Generative AI can be employed to create robust supervised models for classification and regression tasks. By synthesizing and augmenting datasets, generative models can enhance the learning capabilities of supervised algorithms, leading to improved performance and generalization.
Uncover the potential of generative models in transforming categorical variables into continuous embeddings. By capturing complex relationships between categories, these embeddings can significantly boost the performance of machine learning models and facilitate better feature representation.
Learn how generative models can aid in the discovery and creation of new, meaningful features from existing datasets. By generating synthetic data points, these models can unveil hidden patterns, leading to more effective and accurate predictive models.
Explore the use of generative models in the realm of exploratory data analysis. By simulating and visualizing various data scenarios, generative AI can provide valuable insights and help identify trends, outliers, and correlations that might otherwise go unnoticed.
This session aims to empower attendees with cutting-edge knowledge and practical skills to harness the potential of Generative AI in their data-driven projects. Don't miss this opportunity to stay ahead of the curve and transform the way you approach machine learning and data analysis.
10/18/2023
14:50 - 15:10
Expo Stage (Exhibition area)
How AI can help us build a pathway to the sustainable future?
Abigail Oppong
Kira Kaur
How AI can help us build a pathway to the sustainable future?
Conference
Sustainability
10/18/2023
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14:50 - 15:10
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Expo Stage (Exhibition area)
Abigail Oppong
Kira Kaur
10/18/2023
15:00 - 15:30
Conference Room 1 (203 - ground level)
Navigating data enablement and innovation: unveiling the TELUS case study
Rohin Bansal
Navigating data enablement and innovation: unveiling the TELUS case study
Conference
Use Case Big Data
10/18/2023
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15:00 - 15:30
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Conference Room 1 (203 - ground level)
Rohin Bansal
The landscape of modern business is a dynamic one, brimming with data that holds
both immense potential and formidable risks, particularly when it comes to personal
information. Addressing these complexities demands a strategic approach that not only
harnesses data's power but also safeguards it with diligence and ethical considerations. In this
high-energy presentation, we embark on a journey through the intricacies of deploying a
transparent, agile, and forward-looking data governance program within a multifaceted
corporate ecosystem.
Join us as Rohin Bansal takes center stage to unravel the insights garnered from the
pioneering Data Enablement Plan's implementation. This comprehensive exploration offers a
unique window into the challenges, victories, and lessons learned from introducing a
transformative approach within a complex organizational framework.This presentation
encapsulates a wealth of practical insights, strategic maneuvers, and illuminating anecdotes, all
drawn from the TELUS case study. By journeying through this narrative, attendees will acquire
actionable takeaways that can reshape their approach
10/18/2023
15:00 - 15:30
Conference Room 2 (202 - ground level)
Bioinformatics, molecular solutions, intelligent machines and the future of medical care
Laurence Liang
Bioinformatics, molecular solutions, intelligent machines and the future of medical care
Conference
Expert AI
10/18/2023
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15:00 - 15:30
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Conference Room 2 (202 - ground level)
Laurence Liang
10/18/2023
15:30 - 16:00
Conference Room 1 (203 - ground level)
Customer data platform - its significance in data ecosystem & digital marketing era
Sanjeev Garikapati
Mohan Rao
Customer data platform - its significance in data ecosystem & digital marketing era
Conference
Use Case Big Data
10/18/2023
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15:30 - 16:00
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Conference Room 1 (203 - ground level)
Sanjeev Garikapati
Mohan Rao
With customer interacting with the brands across various channels and touchpoints, creating personalized experience by deriving insights from unified profiles is very important. However, the customer data is mostly fragmented and scattered across different systems. Additionally, the constantly evolving landscape of compliance, privacy, and cookie regulations only adds to the complexity of the situation. Thanks to Customer Data Platform and its unique position in the data eco system for solving most of these business challenges effectively. In this sessions, let’s examine what a CDP is and how its positioned in a data ecosystem. Then, lets also cover how it enhances customer experience in the digital-first era with some classic business use cases.
10/18/2023
15:30 - 16:00
Conference Room 2 (202 - ground level)
Advancing privacy and robustness in AI models: the synergy of federated learning and causal machine learning
Sreya Francis
Advancing privacy and robustness in AI models: the synergy of federated learning and causal machine learning
Conference
Use Case AI
10/18/2023
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15:30 - 16:00
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Conference Room 2 (202 - ground level)
Sreya Francis
10/18/2023
16:00 - 16:30
Conference Room 2 (202 - ground level)
From lines to AI minds
Lorenzo Spada
From lines to AI minds
Conference
Use Case AI
10/18/2023
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16:00 - 16:30
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Conference Room 2 (202 - ground level)
Lorenzo Spada
Join Global Standards at the Big Data and AI Conference in Toronto this October 18th for a transformative journey from the inception of barcodes, to the rise of AI within the supply chain ecosystem. Discover how barcodes have shaped supply chains over decades, and how GS1 Canada has helped enhance validations, sustainability and traceability for various industries. Witness the evolution into modern-day AI-driven solutions centered around Object Detection and Predictive Modelling systems. Don't miss this immersive experience that explores the past, present, and future of barcodes and AI at GS1 Canada.
10/18/2023
16:00 - 19:00
Expo Stage (Exhibition area)
Women in AI Awards North America Ceremony (Tickets Required)
Women in AI Awards North America Ceremony (Tickets Required)
Conference
Expert AI
10/18/2023
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16:00 - 19:00
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Expo Stage (Exhibition area)
Registration and more information at https://www.womeninai.co/waiawardsna
10/19/2023
10:00 - 10:30
Conference Room 2 (202 - ground level)
Advancements in AI law and upcoming regulations in Canada
Brent Arnold
Advancements in AI law and upcoming regulations in Canada
Conference
Expert AI
10/19/2023
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10:00 - 10:30
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Conference Room 2 (202 - ground level)
Brent Arnold
10/19/2023
10:20 - 10:50
Expo Stage (Exhibition area)
Security and privacy controls for AI systems
Duronke Owoleso
Security and privacy controls for AI systems
Conference
Expert AI
10/19/2023
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10:20 - 10:50
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Expo Stage (Exhibition area)
Duronke Owoleso
10/19/2023
11:00 - 11:30
Conference Room 2 (202 - ground level)
The challenges and opportunities for pursuing IP protection on AI and Big Data innovations
Marc Lampert
The challenges and opportunities for pursuing IP protection on AI and Big Data innovations
Conference
Expert AI
10/19/2023
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11:00 - 11:30
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Conference Room 2 (202 - ground level)
Marc Lampert
10/19/2023
11:30 - 12:00
Conference Room 2 (202 - ground level)
Applying AI to resolve day-to-day operational challenges
Ali Shamaei
Angela Yang
Applying AI to resolve day-to-day operational challenges
Conference
Expert AI
10/19/2023
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11:30 - 12:00
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Conference Room 2 (202 - ground level)
Ali Shamaei
Angela Yang
10/19/2023
12:00 - 12:30
Conference Room 2 (202 - ground level)
Innovation meets responsibility: AI for a better tomorrow
Abhinav Tiwari
Innovation meets responsibility: AI for a better tomorrow
Conference
Strategic
10/19/2023
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12:00 - 12:30
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Conference Room 2 (202 - ground level)
Abhinav Tiwari
10/19/2023
12:00 - 12:30
Expo Stage (Exhibition area)
Energy efficient software development
Tejas Chopra
Prasanna Vijayanathan
Energy efficient software development
Conference
Technology & Application
10/19/2023
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12:00 - 12:30
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Expo Stage (Exhibition area)
Tejas Chopra
Prasanna Vijayanathan
The impact of software on the environment
The latest developments in Generative AI and Blockchain and how they can be harmful for the environment
Steps we can take to design software better, specifically designing AI better
Some of the ideas / hacks we have experimented with to develop more energy efficient software
Future of Energy Efficiency
10/19/2023
14:00 - 14:30
Conference Room 2 (202 - ground level)
Accelerating AI in the Cloud (Public Sector)
Randy Reynoso
Accelerating AI in the Cloud (Public Sector)
Conference
Use Case AI
10/19/2023
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14:00 - 14:30
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Conference Room 2 (202 - ground level)
Randy Reynoso
10/19/2023
14:00 - 14:30
Conference Room 1 (203 - ground level)
Rethinking big data projects in finance
Tom Wilson
Rethinking big data projects in finance
Conference
Expert Big Data
10/19/2023
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14:00 - 14:30
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Conference Room 1 (203 - ground level)
Tom Wilson
10/19/2023
14:05 - 14:30
Conference Room 2 (202 - ground level)
RPA technology integration
10/19/2023
14:30 - 15:00
Conference Room 1 (203 - ground level)
Building a ready to use data system from the ground up before data exists
Ramila Peiris
Luc Nguyen
Building a ready to use data system from the ground up before data exists
Conference
Expert Big Data
10/19/2023
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14:30 - 15:00
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Conference Room 1 (203 - ground level)
Ramila Peiris
Luc Nguyen
At Sanofi’s Toronto site, a new bulk vaccine facility with over CAD 500 million in investment is getting ready to start manufacturing operations. This new facility, named Building 100 (B100), has presented an opportunity for the organization to build a data system that would provide ready-to-use (RTU) data to the end-users from day one. In the past, such data systems were developed months after a project reached the execution stage, as it allowed data management teams to know where to find data, build data management systems and test data connections using executed batch data. However, this meant that the business did not have access to RTU data for supporting and troubleshooting the initial execution phase of the operations, including engineering batches. Against this backdrop, Data Science Team on site embarked on a journey to build a data contextualization pipeline even before the start of any operational activities in B100. That meant building a data system before data existed.
B100 with its state-of-the-art automation systems, manufacturing execution system (MES) and PI data historian systems, represented a challenging situation to access business ready data. Raw data from MES and PI are messy and not easily readable. Data from MES, PI, laboratory information management system (LIMS) and enterprise resource planning (ERP) system needed to be contextualized so that end-users can avoid non-value-added manual efforts. This required cross-functional partnerships between different stakeholders to understand how data is structured in different source systems, capture end-user requirements, and build novel data engineering solutions.
During this presentation, we will share our experience in building a RTU solution, lessons learned and how this solution is helping our digital transformation journey.
10/19/2023
14:30 - 15:00
Conference Room 2 (202 - ground level)
Industrialized digital enabled AI
Jasper Lam
Industrialized digital enabled AI
Conference
Use Case AI
10/19/2023
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14:30 - 15:00
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Conference Room 2 (202 - ground level)
Jasper Lam
To accelerate Sanofi’s journey to be a leading digital heath platform, Sanofi has implemented IDE.AI, our approach to standardizing data and AI product development. As a global pharmaceutical company, we understand the importance of developing responsible solutions that are applicable to a wide group of people, and data products are no different within Sanofi. Short for “Industrialized Data Enabled Artificial Intelligence”, IDE.AI is at the forefront of how we work on Data, ensuring that everything we build is purpose driven, as well as scalable and modular, giving clear standards on how we’ve developed products within our organization. Learn more about connecting theoretical standards and process with the practical realities of creating analytic solutions!
10/19/2023
15:00 - 15:30
Conference Room 1 (203 - ground level)
Data analytics and integrated reporting model in Arts funding
Gabriel ZAMFIR-ENACHE
Data analytics and integrated reporting model in Arts funding
Conference
Expert Big Data
10/19/2023
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15:00 - 15:30
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Conference Room 1 (203 - ground level)
Gabriel ZAMFIR-ENACHE
10/19/2023
15:00 - 15:30
Conference Room 2 (202 - ground level)
IAMWarrior: Gitops for Governance and ML
Aditya Singh
Magd Bayoumi
IAMWarrior: Gitops for Governance and ML
Conference
Use Case AI
10/19/2023
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15:00 - 15:30
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Conference Room 2 (202 - ground level)
Aditya Singh
Magd Bayoumi
IAMWarrior MunichRe's upgraded machine learning platform is based on open- source stack and applies Gitops principles to machine learning in production. At MunichRe we use Gitops for most of our work, and this has many benefits including traceability, consistency, enhanced productivity, and provides a single source of truth. Especially with a smaller MLOps team supporting a much larger pool of data scientists, this has greatly improved our development capacity. We will take a deeper look at the process, architecture, and how IAMWarrior is helping us speed up our ML work and how Gitops principles fit into this setup.
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