You’ve meticulously stocked your cloud with data silos rich in internal and external customer information. But to truly bear fruit, the walls of these gardens should be broken down and their contextual signals carried from one to another, with a consistent topic hierarchy.

To take the sting out of these technology and data decisions, this webinar will guide organizations on how to:
Identify opportunities where cross-pollinating data can create exponential value for analytics, BI, ML modeling, search, and more
Evaluate and select a knowledge framework that can produce deep, consistent connections across all data types
Comb through under-utilized data sets and extract new value with innovative Natural Language Processing techniques
Hear from industry experts buzzing about these capabilities:

Stephen Scarr, Chief Executive Officer, eContext.ai
Ian McCarty, Chief Product Officer, eContext.ai
Mike Meriton, Moderator, Co-Founder & COO, EDM Council

Access to real-time business information is a key element in responding to customer inquiries, understanding risk when making decisions or selling a new product or offering.

However, traditional data management often limits business users’ access to business-oriented knowledge. The Data Fabric approach leverages the latest developments in semantic AI and data governance to unlock business insights on top of existing data infrastructures.

Through real-world use cases, this presentation will help you understand how Data Fabric can help you gain business efficiencies, drastically reduce the cost of data management and develop innovative customer services.

The webinar will explore:
How Data Fabric empowers organizations with flexible, faster and cheaper method to integrate data between platforms
How Ontologies and AI can transform Data to Business-Decision Knowledge
Use cases and real success stories
The webinar will be led by industry experts including:

Philippe Limantour, EMEIA Financial Services Chief Innovation Officer, EY
Jorge Capilla Cano, Data&Analytics Partner for the Western Europe Region, EY
Mike Meriton, Moderator, Co-Founder & COO, EDM Council

The sun is setting on the “old ways” of managing data at modern financial institutions. Spurred on by new regulation, intense competition, and the scale of modern data challenge — mapping and managing information principally based on rules is on the way out. In its place, the largest financial organizations are turning to machine learning to more precisely manage their complex and diverse data ecosystems.

Hear from industry experts driving this change today:
Dan Waldner, Principal Strategist at Traction on Demand (formerly Director of Customer Data at Scotiabank)
Alex Batchelor, Strategic Sales Engineer at Tamr
Mike Meriton, Moderator, Co-Founder & COO, EDM Council

Greater agility, scalability and lower total cost of ownership made the decision to move to the cloud easy. The real challenge is migrating the data from legacy systems to your new cloud platform to start realizing value while minimizing the risk.

With automated data modeling, transformation management and data governance software and services, you can accelerate and simplify the adoption of modern cloud data platforms to improve, scale and sustain your enterprise data capability.

In this session, we’ll show you how stakeholders with different needs and skills can work together to ensure the success of cloud migration projects regardless of their size.

When you attend this webinar, you will learn how to:
Reduce costs and mitigate risks when migrating legacy applications to the cloud with metadata-driven design and transformation capabilities
Increase the precision, speed and agility of cloud deployments with automation
Ensure transparency, compliance and governance for cloud data assets
Increase the efficiency and accuracy of analytics and other cloud data usage
The webinar will be led by industry experts including:

Danny Sandwell, Director of Product Marketing, erwin by Quest
Mike Meriton, Moderator, Co-Founder & COO, EDM Council