Build a Robust AI Data Strategy: Readiness Assessment and Implementation Framework

This webinar provides a practical, structured guide for organizations looking to adopt AI and develop a strong AI data strategy. It covers how to assess AI readiness, align AI initiatives with business goals, and overcome the most common challenges in AI implementation. Participants learn the core components of an AI data strategy, fundamentals of successful deployment, and how to evaluate organizational capabilities using a detailed AI Readiness Assessment framework. The session also includes a bonus AI readiness cheat sheet. Designed for data science leaders, analytics teams, data engineers, architects, and business executives, the webinar equips attendees with actionable steps to integrate AI effectively, improve data quality, and drive measurable business outcomes. Featuring insights from Dimitar Dekov, CEO of B EYE, and Dr. Patrick J. Wolf, Strategic Advisor for AI, Data & Tech, the session highlights best practices for leveraging AI to modernize operations, increase efficiency, and support long-term digital transformation.

Patrick Wolf

6/5/20241 min read

Build a Robust AI Data Strategy: Readiness Assessment and Implementation Framework

Original Article: Here

Looking to leverage AI technologies in your business?
It’s time to assess your AI readiness and start planning.

According to a new Gartner survey, Senior Managers are wasting no time in AI adoption,
with 49% stating AI is within their scope of primary responsibilities.

In this webinar, we’ll share with you the best practices to developing a robust AI Data Strategy: where to start, what to consider, how to assess organizational capabilities and draw a framework for implementing AI within your business for tangible results.

You’ll walk away equipped with:

Practical steps for navigating the common AI strategy challenges
Strategies for aligning AI and business goals
Fundamentals for successful AI implementation
Walkthrough of AI readiness assessment
+ a BONUS: AI Readiness Assessment cheat sheet

Who Is This the webinar for?

If you are involved in AI adoption strategy development or plan to leverage AI for transforming
business processes and operations in your role as:

Data Science and Commercial Analytics Managers
Data Engineers and System Architects
Business/Operations Leaders

then you will benefit from the expert insights in this webinar.

What we’ll cover:

Key AI Strategy Components: The critical aspects for developing an AI strategy, focusing on the quality, accessibility, and integrity of data to meet the specific demands of AI technologies.
Fundamentals of AI Data Strategy: The core elements of an AI Data Strategy, emphasizing the alignment with organizational AI goals and strategies to address common challenges such as defining value or aligning technical solutions with business demands.
AI Readiness Assessment: A structured AI readiness assessment to evaluate your organization’s readiness for AI, covering a range of topics to better understand and improve your organization’s approach to AI.

Meet the Authors:

Dimitar Dekov, Founder and CEO of B EYE

Dimitar leverages his extensive experience in data analytics and strategic vision to lead a company that transforms business efficiency and innovation across sectors, and advocates for extending AI’s applications beyond the corporate world.

Dr. Patrick J. Wolf, Strategic Advisor, AI, Data & Tech

Patrick is a leader in AI and emerging technologies in SaaS businesses with a primary focus on business transformation through the strategic application of AI, machine learning, and the latest technological advancements.

Build a Robust AI Data Strategy: Readiness Assessment and Implementation Framework