AWS & Adastra

Executive Luncheon

October 11, 2023 - Toronto, Canada


Do you have fluid access to data honed for a specific business context or problem to leverage Generative AI? Can you relate to the struggles that come with a digital transformation journey? Understanding “what great looks like,” or data privacy, security, compliance, or creating a data-driven culture just to name a few. Do your business and IT teams struggle to align on a data strategy? 

Are you ready to drive business outcomes using data? 

AWS and Adastra can help you get a head start and create new outcomes through digital transformation using database, analytics, AI and ML. 


Visionaries & Speakers

Daniel DuPlessis AWS
Daniel DuPlessis

Principal Partner Solutions Architect


Luncheon Speaker

Daniel is a Principal Partner Solutions Architect at AWS. He has been involved in the AI domain since 2015 and at AWS he works with customers and partners on their AI adoption and cloud strategies. Apart from working hands-on with technology as an architect, his interests span enterprise transformation, innovation and implementing AI operating models in the enterprise. Daniel keenly believes in the transformative potential of technology in the enterprise and its ability to bring about broad societal benefits. Outside of work he likes to travel, go on hikes and play racquet sports.

John Yawney, Ph.D. Adastra Corporation
John Yawney, Ph.D.

Chief Analytics Officer

Adastra Corporation

Luncheon Speaker

John is accountable for the growth and advancement of analytics at Adastra where he leads a team of Data Scientists and automation experts, with the right mix of talent to provide reliable and scalable solutions to our clients across all verticals. John is responsible for leading and building out AI-based applications and frameworks, relying on his past academic and industry experience to provide practical but theoretically sound solutions and insights.

Katya Dunets Adastra Corporation
Katya Dunets

AWS Lead Sales Engineer

Adastra Corporation

Luncheon Speaker

Katya Dunets is a highly accomplished sales engineer, currently leading the sales efforts for Amazon Web Services (AWS) at Adastra. With a strong background in data science, she previously held the role of Data Science Practice Lead. Her expertise spans sales engineering, data science, and computer science, making her a valuable asset in driving innovation and success in the tech industry.

Jassi Kaur

Head of IT & Security

Bulk Barn Foods Limited

Luncheon Speaker

Bulk Barn Foods Limited is a family-owned business founded in 1982 by Carl V. Ofield. The company began with three corporately-owned stores that soon became franchised. Other stores followed and today, Bulk Barn locations can be found in Alberta, Saskatchewan, Manitoba, Ontario, Quebec, Nova Scotia, New Brunswick, Newfoundland and P.E.I. Our brightly coloured structures are visibly located in various major centres of these provinces.

October 11, 2023

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All times Eastern Time

12:00 PM-12:30 PM

Networking & Opening Remarks

12:30 PM-2:30 PM

Build Business Value at Scale with Generative AI

In a fast changing world where Generative AI holds immense potential and requires careful safeguarding, it is more important than ever for organizations to stay focused on solving for business priorities. Organizations need a modern data strategy and an AI strategy in order to innovate rapidly with generative AI at scale. This topic provides an overview of addressable use cases for generative AI; the approach to mobilizing and scaling business value; how to think holistically about data and AI; and considerations for technology, people, process, and mindset.

Discussion Topics 

  • Data is an asset - leverage its power to drive business value for Generative AI
  • Technology: Modern Data Foundation. Incrementally scale data, platform, and people according to use case priority
  • Mindset: Foster innovation, agility, and reduce the cost of experimentation
  • People: New skills and roles; close the skill gaps
    Process: Governance, Ethics and Alignment

2:30 PM-3:30 PM

Closing Remarks & Networking

In Partnership With