Innovation, Agility & Growth: How AI/ML is Changing the Canadian Business Landscape
On-Demand Webinar
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Apply the power of AI/ML to your business
In Canada, the use of artificial intelligence (AI) and machine learning (ML) continues to grow among small and medium businesses. AI has the potential to deliver additional global economic activity of around $13 trillion by 20301. These emerging technologies are now more readily accessible and can help businesses like yours, navigate uncertain economic times.
Whether you are starting your journey with AI/ML, or are looking to optimize your existing AI/ML infrastructure, this on-demand webinar will provide you with:
- Actionable insights and practical advice on how AI/ML can help you achieve your business goals.
- Real-life examples from peers who have successfully navigated business challenges with AI/ML.
- Examples of how you can put this technology in action within your own business.
Watch this webinar to learn from business leaders and AWS experts on how to use the power of AI/ML to accelerate growth, increase agility, and drive innovation.
1. McKinsey: Notes from the AI frontier: Modeling the impact of AI on the world economy
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100,000+ databases migrated to AWS 10,000+ data lakes and data warehouses deployed on AWS Hundreds of thousands of customers rely on AWS Databases
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Event Agenda
| 45 mins | Keynote | |||
| Track 1 - Get started: Moving your data to the cloud | Track 2 - Building apps with modern databases | Track 3 - Get started: Building your data lake | Track 4 - Analyzing and getting insights | |
| 40 mins | Migrate your Oracle and SQL Server databases to Amazon RDS (200) | Which database to choose: Pick the right purpose-built database for the job (200) | How to go from zero to data lake in days (200) | Amazon Redshift use cases and deployment patterns (400) |
| Migrate your on-premises Data Warehouse to Amazon Redshift (200) | Building large scale data-driven apps with AWS databases (300) | Picking the right analytical engine for your needs (200) | Processing Big Data with Hadoop, Spark, and other frameworks in Amazon EMR (300) | |
| 40 mins | Why cloud databases like Amazon Aurora are more scalable and reliable (300) | Extreme Performance at Cloud Scale: supercharge your real-time apps with Amazon ElastiCache (300) | Breaking the silos: Extending your DW to your data lake (300) | Scalable, secure log analytics with Amazon Elasticsearch Service (200) |
| Deploying open source databases on AWS (200) | Databases for building business-critical enterprise apps (300) | Big data in the era of heavy privacy regulations (200) | Scalable, secure log analytics with Amazon Elasticsearch Service (200) | |
| 40 mins | Why cloud databases like Amazon Aurora are more scalable and reliable (300) | Extreme Performance at Cloud Scale: supercharge your real-time apps with Amazon ElastiCache (300) | Breaking the silos: Extending your DW to your data lake (300) | Scalable, secure log analytics with Amazon Elasticsearch Service (200) |
| 50 mins | Customer spotlight 1: How iRobot built the Roomba to use real-time data to smartly clean your home - 45 min or Customer spotlight 2: Equinox’s Data Warehouse modernization journey - 45 min Conclusion - 5 min | |||
Event Agenda
Welcome Remarks
Raza Syed, SMB District Sales Manager, will discuss the importance of AI/ML for businesses in 2023, explaining how they transform various industries and why businesses must adapt to stay competitive.
Speaker:
Raza Syed, SMB District Sales Manager, AWS Canada
Artificial Intelligence (AI) and Machine Learning (ML): What It Is and What You Need to Know in 2023
This session will cover the fundamental concepts of AI/ML, including their differences, various applications, latest trends, and ethical considerations. You will gain a broad understanding of AI/ML and be up-to-date in these rapidly evolving fields.
Speaker:
Ankit Pathak, AI/ML Go-to-Market and Business Development Leader, AWS Canada
Generative AI: Overview and Benefits for your Business
In this session, you will receive an overview of Generative AI and its potential benefits for your business. Learn about how it differentiates from other types of AI, explore use cases, and discover how to leverage generative AI apps for a competitive advantage. The session will also cover potential risks and limitations and how to mitigate them, enhancing your understanding of generative AI and its potential to improve business operations.
Speaker:
Ankit Pathak, AI/ML Go-to-Market and Business Development Leader, AWS Canada
How You Can Get Started With AWS Today: Our Most Popular AI/ML Services
This session will focus on how to get started with AWS today, covering account setup and accessing services, as well as key features, benefits, use cases, implementation best practices, cost structure, and pricing options.
Speaker:
Ankit Pathak, AI/ML Go-to-Market and Business Development Leader, AWS Canada
Customer Feature: VIQ Solutions
Vahram Sukyas, Chief Technology Officer of VIQ Solutions, will be featured in this session, sharing their experience of leveraging AI/ML for innovation in their business. You will learn how they've successfully implemented these technologies to enhance their operations and how to gain a competitive advantage with AI/ML.
Speaker:
Vahram Sukyas, Chief Technology Officer, VIQ Solutions
Session Details
- Track1 Session 1
- Track2 Session 1
- Track3 Session 1
- Track4 Session 1
- Track5 Session 1
- Track6 Session 1
- Track7 Session 1
- Track8 Session 1
- Track9 Session 1
- 10 Session 1
Track1 Session 1
Migrate your Oracle and SQL Server databases to
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track2 Session 1
Migrate your Oracle and SQL Server databases to
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track3 Session 1
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Track4 Session 1
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Track5 Session 1
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Track6 Session 1
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Track7 Session 1
Tab 7 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track8 Session 1
Tab 8 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track9 Session 1
Tab 9 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
10 Session 1
Tab 10 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Multiple City Registration
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AWS Sponsors
AWS partners with trusted organizations including BREX, Mercury, and MongoDB to provide startup-friendly perks designed to help you grow and succeed. Hear from our partners to learn how their solutions can support your startup in the growing Web3 sector and beyond.
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Session Proficiency Levels Explained
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Level 100
Introductory
Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic
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Level 200
Intermediate
Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics
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Level 300
Advanced
Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution
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Level 400
Expert
Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations
Who Should Attend
This webinar is dedicated to Canadian business leaders and technical leaders who want to learn how the latest trends in AI/ML can bring scalability, security, and savings.
Why Attend
You will learn first-hand from AWS experts and AWS customer, VIQ Solutions, on how you can use AI/ML to grow your business.
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Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est. laborum.
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Featured Speakers
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Ankit Pathak, AI/ML GTM and Business Development Leader, AWS Canada
Ankit is a seasoned business leader and cloud advocate, with over 14 years of global experience in the industry with big tech and cloud businesses. He has worked with clients from multiple industries such as Financial Services, Retail, Telecommunications on growing business and identifying new revenue streams using AI/ML as a driver for change.
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Vahram Sukyas, Chief Technology Officer, VIQ Solutions
Vahram is a 20+ year veteran of the technology industry with a diverse background in engineering and scaling B2B/B2C/B2E digital products and platforms, cloud technologies and cloud native architectures, AI, cybersecurity, infrastructure, and technology operations.
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Diya Wynn, Sr. Practice Mgr, AI/ML Ethics, ML Solutions Lab, AWS
Diya Wynn is the Senior Practice Manager of Responsible AI at the AWS Machine Learning Solutions Lab. She leverages 25+ years of experience as a technologist driving inclusion, diversity & equity initiatives, and guiding organizations in establishing AI/ML operating models that enable inclusive and responsible products.
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Nashlie Sephus, Principal, AI/ML Evangelist, AWS
Dr. Nashlie Sephus is the Principal Tech Evangelist for Amazon AI, focusing on fairness and identifying biases. Previously, she led the Amazon Visual Search team as an Applied Scientist, launching visual search for replacement parts on the Amazon Shopping app.
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Thomas Rindfuss, Senior Solutions Architect, Amazon Lex
Thomas Rindfuss is a senior solutions architect on the Amazon Lex team. He invents, develops, and prototypes new technical features and solutions for Language AI services that improve the customer experience and ease adoption.
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Mo Shaikh, Co-Founder, Aptos Labs
Mo is the CEO and Cofounder of Aptos, a blockchain designed for the next billion users. He is a 3x founder with over a decade of multinational financial services and blockchain/crypto experience.
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Raju Gulabani, VP of Databases, Analytics & AI, AWS
Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.
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Ryan Kelly, Data Architect, Equinox
Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox
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Richard Boyd, Cloud Data Engineer, iRobot
Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.
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Raju Gulabani, VP of Databases, Analytics & AI, AWS
Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.
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Ryan Kelly, Data Architect, Equinox
Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox
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Richard Boyd, Cloud Data Engineer, iRobot
Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.
Customer Highlights
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
FAQs
Where is the event?
This is a live, online event hosted by AWS.
When is the event?
,
How much does it cost to attend this event?
There is no cost to attend this event.
What if I cannot attend this event?
You can still register in order to receive relevant presentation slides and videos after the event concludes.
Do I need preexisting knowledge of blockchain technology to attend?
Nope! This event will lay out the fundamentals of blockchain and DeFi and how you can adopt them to further your startup’s growth and success.