c07-artchitecture

Architecture Summit

Next-Generation Enterprise Architectures for
Data-Driven Digital Transformation

Tuesday, May 21 | 2:40 - 5:30 pm

To keep up with today’s fast-changing business environment and constantly evolving technology landscape, organizations like yours must reinvent themselves to lead data-driven digital transformation. A modular, flexible, and AI-driven architecture is critical to building a foundation that can transform the business and adapt to future needs with minimal internal disruption.

At this exclusive event, you will network with some of our most progressive customer architects who are driving digital transformation with AI and data management. You will hear how industry-leading organizations have overcome serious challenges, envisioned a next-generation architecture, and applied best practices for designing solution architectures. You’ll leave this session with ideas on how to align your architectures to your own business strategy and accelerate your own digital transformation.

Who Should Attend

If you are an Architect or Senior IT Leader planning or executing transformative initiatives for your organization, join us for the Architecture Summit on Tuesday, May 21. This event features leading architects and industry thought leaders who will share their approaches, challenges, and best practices for building AI-driven, hybrid data management architectures to accelerate their businesses.

Agenda

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  2:40 pm Welcome & Introduction 
 
  2:45 pm Opening Remarks: Darshan Joshi, Senior Vice President, Technology Strategy and Shared Services, Informatica
 
  3:05 pm AI-Driven Data Catalog for Modern Data Architecture

A successful digital transformation strategy is built on system thinking and AI/ML-powered technology. But many organizations are challenged by a data and information disconnect between their business and technology sides. Read More

  3:20 pm An Architect’s Guide to Cloud Data Warehouse Modernization

As your organization looks to expand and grow data management capabilities to manage cloud data warehouses, you need a comprehensive enterprise cloud data management platform that can address more users, patterns, data sources, data types, latencies, and deployments. Read More

  3:40 pm Architecting a Cloud Data Lake

Your next-generation analytics platform should enable rapid innovation and answer questions that were never economically possible to ask before. Architects who design a data lake to solve only one problem risk missing the bigger opportunity to provide ongoing business value. Read More

  4:00 pm Master Your Architecture. Master Your Data.

Master data management (MDM) allows you to consolidate “silos of data” and create and maintain a trusted version of your customer, product, supplier, and other business-critical data, so well-architected MDM is pivotal to ensuring a successful data-driven digital transformation. Read More

  4:20 pm How to Implement Data Governance at Enterprise Scale for Data 3.0

As data governance spans business and technology domains across the entire enterprise, implementing a framework centered on collaboration and transparency can be a significant challenge. Read More

  4:40 pm An Architect’s Guide to Intelligent, Hybrid Data Management

Successful companies know that cloud is a critical enabler and accelerator of data-driven digital transformation, with the ability to support rapid innovation, reduce IT overhead, and shift data management needs at scale. Read More

  4:55 pm Artificial Intelligence for Next-Gen Data-Driven Architectures

With more types of data, hundreds of systems, and new technologies—all rapidly changing—it is time to take a “data-first” view of architecture. Read More

  5:20 pm Closing Remarks



Session Descriptions

 

AI-Driven Data Catalog for Modern Data Architecture

A successful digital transformation strategy is built on system thinking and AI/ML-powered technology. But many organizations are challenged by a data and information disconnect between their business and technology sides. As a result, leveraging a shared view of relevant data to make decisions based on informed analysis remains a pipe dream for most enterprises.

The time has come for both business and IT to manage data as a strategic asset and unleash its full potential. In this session, we will discuss how intelligent data catalogs enable enterprises to overcome the data disconnect by employing artificial intelligence and machine learning to discover and manage metadata and promote a deeper and broader shared understanding of data for better business outcomes.

 

An Architect’s Guide to Cloud Data Warehouse Modernization

As your organization looks to expand and grow data management capabilities to manage cloud data warehouses, you need a comprehensive enterprise cloud data management platform that can address more users, patterns, data sources, data types, latencies, and deployments. This session will discuss how architects can manage the transition from legacy on-premises to new cloud data warehouse using the capabilities of an enterprise cloud data management platform. We will also discuss how to leverage a data catalog to understand and prioritize which data to move to the new cloud data warehouse and complement with a cloud data lake.

 

Architecting a Cloud Data Lake

Your next-generation analytics platform should enable rapid innovation and answer questions that were never economically possible to ask before. Architects who design a data lake to solve only one problem risk missing the bigger opportunity to provide ongoing business value.

This session will provide an overview of a comprehensive and flexible cloud data lake management architecture, along with a roadmap and guidelines combining best-of-breed tools and technology to establish a solution architecture and implementation strategy. Most importantly, this session will describe how to build a data lake architecture that will optimize the entire end-to-end data pipeline from data ingestion, data streaming, and data preparation to data cataloging and governance, accelerating innovation, insights, and time to value.

 

Master Your Architecture. Master Your Data.

Master data management (MDM) allows you to consolidate “silos of data” and create and maintain a trusted version of your customer, product, supplier, and other business-critical data, so well-architected MDM is pivotal to ensuring a successful data-driven digital transformation.The right MDM solution makes it easy to discover, integrate, master, and deliver trusted data to both operational and analytical processes. This session is designed to help you quickly address your business initiatives with best practices derived from successful MDM implementations.

 

How to Implement Data Governance at Enterprise Scale for Data 3.0

As data governance spans business and technology domains across the entire enterprise, implementing a framework centered on collaboration and transparency can be a significant challenge. In this session, we’ll share the methodology, components, and stages that are part of successful enterprise data governance programs to comply with regulations and deliver trusted data for decisions and business processes.

An Architect’s Guide to Intelligent, Hybrid Data Management

Successful companies know that cloud is a critical enabler and accelerator of data-driven digital transformation, with the ability to support rapid innovation, reduce IT overhead, and shift data management needs at scale. There is no single route to cloud: organizations can make a cloud-first or a hybrid journey. This session will discuss moving to a hybrid cloud data architecture that delivers a portable, reusable, and secure infrastructure while taking advantage of your existing on-premises investments.

 

Artificial Intelligence for Next-Gen Data-Driven Architectures

With more types of data, hundreds of systems, and new technologies—all rapidly changing—it is time to take a “data-first” view of architecture. Informatica product leaders Darshan Joshi and Awez Syed will talk about our approach to an AI-driven intelligent data management platform designed to automate tasks, facilitate collaboration, and provide intelligent recommendations to guide user behavior.