In today's data-driven landscape, organizations must harness the power of their data to gain a competitive edge. However, legacy systems and siloed data sources often hinder innovation and agility. This session will provide a strategic blueprint for building a modern, future-proof data platform that unlocks the full potential of your organization's data enabling you to deliver innovative AI and analytical solutions.

 

We will begin by assessing the current data landscape, identifying pain points and opportunities for modernization. Next, we will explore how to align the data platform's capabilities with your organization's strategic goals and prioritized use cases, such as real-time analytics, machine learning and data democratization.

 

We will explore the key components of a modern data platform, including how to build & operationalize a data mesh, data integration, data storage and management, data analytics and visualization, and machine learning and AI integration. We will also highlight the advantages of cloud-based data platforms, including scalability, elasticity, and access to cutting-edge services.

 

Robust data governance, security, and access controls are crucial components of a successful data & AI platform. We will outline strategies for creating data catalogs, enforcing data quality, integrating your data & AI platforms, and enabling self-service. We will also discuss what operational excellence means and how to nail it.

 

Attendees will learn how to overcome common challenges and pitfalls, ensure data security and governance, and enable self-service analytics and data exploration. Whether you're a data architect, analytics/ml leader, or business executive, this presentation will provide you with the knowledge and insights needed to build a modern data platform that drives business success.