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Transforming Organizations with AWS Cloud Migration

1. Why Organizations Choose AWS

• The top motivations for choosing AWS are:
  • Cost savings and control over IT infrastructure costs
  • Ability to monetize AI and machine learning capabilities
  • Faster access to information, scalability, agility, and resilience
  • Achieving these benefits with minimal environmental footprint

2. Benefits of Migrating to AWS

Organizations that have completed migrations to AWS have seen the following benefits:

1. Cost Savings: Significant reduction in total cost of ownership.
2. Staff Productivity: Ability to do more with less.
3. Operational Resilience: Critical in today's business environment.
4. Business Agility: Faster response to evolving business needs.

3. The Migration Acceleration Program (MAP)

• MAP is a holistic framework that helps organizations migrate to AWS.
• It includes a methodology, practices, and tools to manage migration projects and maximize benefits.
• MAP has a global network of over 500 partners to help organizations migrate to AWS.
• MAP also offers financial investments to offset the cost of migration projects.

4. The Migration Journey

MAP breaks down the migration journey into three phases:

1. Assess: Evaluate migration readiness and build a business case.
2. Mobilize: Design the migration journey and create a project plan.
3. Migrate and Modernize: Execute the migration plan using the 7R framework.

5. The Hartford's Cloud Transformation Journey

• The Hartford is a 214-year-old insurance organization that decided to modernize to the cloud.
• Key priorities:
  1. Simplify and modernize the application portfolio.
  2. Enhance the engineering experience.
  3. Transform the application and infrastructure management operating model.
• Success factors:
  • Executive and business sponsorship
  • Careful planning and not rushing into migrations
  • Focus on people change and process change
  • Leveraging automation and acceleration tools

6. Adenta's Cloud and AI Journey

• Adenta is a 15-year-old digital native company with 2.5 billion monthly user visits.
• Adenta's cloud journey started organically 10 years ago and accelerated in the last 2-3 years.
• After acquiring eBay's classifieds business, Adenta designed a single-cloud strategy on AWS.
• Adenta adapted the 7R framework to its different business contexts and platforms.
• Adenta's journey into AI is closely linked to its cloud journey, starting 8 years ago.
• Key lessons learned:
  • Leveraging off-the-shelf AI models and frameworks as an accelerator
  • Dedicated budget and resources for AI experimentation and productization
  • Upskilling various roles beyond just data scientists/engineers
  • Addressing GPU capacity planning challenges

7. The Potential of AI/ML

• McKinsey estimates a potential $4.4 trillion in incremental value that businesses can create using AI/ML.
• Organizations are looking to use AI/ML to improve both top and bottom line.
• Examples of successful AI/ML implementations:
  • BMW using Amazon Bedrock to optimize infrastructure
  • DoorDash using Amazon Bedrock and Connect for a conversational AI contact center
  • Thomson Reuters democratizing employee access to AI models

8. The AI/ML Virtuous Cycle

• The cycle starts with data, builds data platforms, incorporates AI/ML using tools like Amazon Bedrock, and improves customer experience.
• This leads to more users and data, further scaling the data platforms and AI/ML capabilities.