AI Talks #12: AI Adoption Framework Series – Prepare Phase

Dear AI Enthusiasts,
After our exciting Microsoft Ignite recap, it's time to continue our journey through the AI Adoption Framework Series. In our previous sessions, we've explored:

• Leadership Alignment: Establishing a strong foundation by ensuring that leadership is fully committed and willing to do whatever it takes to adopt AI.
• AI Center of Excellence (CoE) Establishment: Forming a crucial cross-functional team of the most talented people who will build the foundation from both cultural and technical perspectives for successful AI adoption.
• Strategy Development: Defining business objectives and expected outcomes.
• Planning: Gathering use cases, identifying data assets, and outlining pilot projects.
• AI Competency and Culture Development: Developing an AI-aware culture across the organization.

Each of these steps has laid the groundwork for what's next. Now, in the Prepare Phase: Building a Solid Data Foundation and AI Platform, we're ready to explore the critical "Prepare" phase. This is where we equip our organization with scalable and feature-rich platforms necessary to access and leverage company data across different organizational units.
Event Highlights:
Before diving into our main topic, we'll start by sharing the latest developments in the AI landscape:

• A Surge of Powerful New Open-Source Models: Challenging established commercial solutions and democratizing AI capabilities.
• Significant Breakthroughs from Chinese Tech Companies: Closing the gap with the leading US based AI frontiers.
• Advancements in AI Infrastructure and Tooling: Enhancing efficiency and scalability in AI deployments.
• And more exciting updates!

Main Topic: Prepare Phase Deep Dive
In this session, we'll focus on:

1. Building a Solid Data Foundation:

• Data Quality Standards and Governance: Establishing processes to ensure data integrity and compliance.
• Scalable Data Infrastructure: Designing systems that grow with our organization's needs and can aggregate our data sources.
• Efficient Data Pipelines: Streamlining data flow for real-time analytics and AI applications.
• Data Accessibility Across Organizational Units: Ensuring the right people have access to the right data when they need it.

2. Developing a Centralized/Decentralized AI Platform/Framework:

• Designing a Scalable and Feature-Rich Architecture/Framework: Supporting multiple AI workloads and user requirements.
• Implementation Strategies:
• On-Premises Solutions: For organizations requiring complete control over their data.
• Cloud-Based Platforms: Leveraging the simplicity, scalability and flexibility of cloud services.
• Hybrid Approaches: Combining the best of both worlds to meet specific business needs.
• Integrating Large Language Models (LLMs): Exploring on-premises, cloud, and hybrid LLM deployments to enhance AI capabilities.
• Facilitating Collaboration: Enabling different departments to utilize the AI platform effectively.

These elements are crucial in preparing our organization to adopt AI at scale. They bridge the gap between the AI-aware culture we've developed and the technical capabilities needed to implement and use AI solutions effectively.
This session builds directly upon our previous discussions:

• Strategy Development Alignment: Ensuring that our technical foundation supports the business objectives and expected outcomes we've set.
• From the Planning Phase: We'll utilize the use cases and operating models we've identified to inform our technical preparations.
• AI Competency and Culture Development: Leveraging the AI-ready culture to support and adopt our AI platform effectively.

By integrating these aspects, we'll ensure that our organization is fully prepared to move into the "Adopt and Scale" phase.
Event Details:

• Date: Monday, December 18th
• Time: 10:00 AM – 12:30 PM

Agenda:

• 10:00 – 10:15: Intro and Latest AI Updates
• 10:15 – 11:15: Building a Solid Data Foundation
• 11:15 – 12:00: Constructing a Centralized AI Platform
• 12:00 – 12:15: Exploring Implementation Strategies: On-Premises, Cloud, and Hybrid LLMs
• 12:15 – 12:30: Q&A

Who Should Attend:
This session is essential for leaders, IT professionals, data engineers, and anyone involved in preparing their organization for scalable and enterprise ready AI adoption. Whether you're just starting or looking to streamline your AI Journey, this event will provide valuable insights and practical guidance to make it successful.
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👉 AI Talks #12: AI Adoption Framework Series – Prepare Phase
As we continue our journey through the AI Adoption Framework, this session is an important step in ensuring your organization is ready to implement AI solutions effectively. By connecting the culture and competencies we've developed with the technical foundation required, we'll set the stage for successful AI adoption and scaling.

We look forward to seeing you at this insightful session!