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Leading with Data: Strategies for Engaging Business Matter Experts

Join our expert speakers as we explore the T.E.A.M. approach to leading with data. Delve into the essential strategies for engaging business matter experts, emphasizing trust-building and collaboration to advance a data-driven culture. Gain invaluable insights from Barbara’s extensive career journey and learn actionable steps to build a strong, sustainable and adaptable data foundation in today’s data driven era amidst the ever-increasing pace of technological innovation.

Key takeaways include:

  • Creating a strong data culture
  • Fostering the relationship between business and data
  • Data is everyone’s responsibility – we are all data users
  • How to effectively engage business leaders in the data conversation

Generative AI: Opportunities and Pitfalls for Enterprise Implementation

Generative AI is rapidly transforming businesses. This powerful technology is enhancing various aspects of enterprises, from product development and marketing to customer service and internal operations. This interactive session will discuss the opportunities and challenges of Generative AI for your organization. The esteemed panelists will provide insights and guidance to help industry professionals navigate the complexities of this transformative technology. They’ll explore:

  • Emerging use cases: How Generative AI can be utilized across various industries to enhance processes and unlock new opportunities.
  • Gain a competitive advantage: Learn how AI can boost efficiency, personalize experiences, and drive growth.
  • Mitigating risks: Strategies for navigating data bias, safety considerations, and responsible implementation strategies to ensure you leverage AI with confidence.

Data Governance Strategies for Leveraging Generative AI in Financial Services

For financial institutions venturing into the realm of generative AI, ensuring robust data discovery and governance is essential. Join BigID, AWS, MongoDB, and EDM Council for key insights into navigating the intricate landscape of data governance while leveraging generative AI technologies alongside data security for the financial services sector.

Key Takeaways:

  • Understanding the pivotal role of data governance in the adoption of generative AI within financial services.
  • Strategies for establishing comprehensive data governance frameworks tailored to the unique challenges of generative AI.
  • Addressing regulatory compliance requirements specific to financial services organizations.

Join us to gain practical insights and best practices for navigating the complexities of data governance while harnessing the transformative potential of generative AI in financial services.

Exploring the Future of Process Automation and Artificial Intelligence

As companies increasingly turn to AI to enhance efficiency and drive better decision-making, understanding the critical aspects of data quality and process optimization becomes essential. Join us to explore the latest technical innovations that are automating and simplifying complex, data-intensive SAP processes. We will discuss:

  • The evolving role of automation in digital transformation

  • Benefits of automation in managing SAP complexities

  • Emerging technologies for process automation through modern web-based user interfaces, including Fiori and GUI for HTML

  • The impact of artificial intelligence on improving automation solutions for SAP ERP processes

  • Approaches to streamlining master data processes across SAP and other systems of record

This session will provide an in-depth look at current, emerging, and future automation capabilities, offering practical insights and strategies for developing an effective automation roadmap.

ESG Data Management Playbook: How to Produce Reliable Data

Markets are moving from voluntary and unstructured environmental, social, and governance (ESG) data and sustainability reporting to mandatory and standardized sustainability disclosures. To deliver and sustain these reporting trends, companies need a framework for properly managing their ESG and sustainability data. The good news is, they don’t have to start from scratch: the knowledge and tools to achieve quality ESG data and disclosures already exist and simply need to be brought to the rapidly emerging sustainability practices.

The EDM Council ESG Working Group has produced a practical playbook illustrating how two such tools, the COSO Internal Control over Sustainability Reporting (ICSR) guidance and the DCAM data management framework, can effectively be leveraged. In this webinar, the playbook’s authors will explain how companies can use it to achieve appropriately governed and managed ESG and sustainability data and disclosures.

Climate Risk Masterclass: Use GenAI for Climate Resilience, ESG Disclosures & Innovation

As companies prepare for their Climate ESG Disclosures, due in January 2025, not surprisingly, the World Economic Forum has put Extreme Weather as the No1 risk for businesses in the 2024 Global Risks Report. NOAA has calculated that there’s been more than $60 billion plus disasters over the past five years that have costed the economy and companies more than $100 billion in losses. Climate Risk is a board level priority. Join us for this webinar sponsored by Levent Ergin, Chief Strategist for ESG Sustainability & Partnerships at Informatica, James Sizemore, Chief Strategist for Insurance at Informatica and Jason Lindauer, Senior Director, Global Head of ESG Products at Dun & Bradstreet and Meredith Kalman, ESG Sustainability Data Lead at Deloitte where you will learn:

  • Emerging Climate Regulations Globally
  • Innovations in Climate Risk Insights
  • Impacts of Climate Risk for Insurance as well as Banking, Retail CPG, Health Care & Lifesciences and Supply Chains
  • How to Leverage Climate Risk Insights and GenAI to unlock Climate Resilience and Product Innovation
  • Accelerate your ESG Climate Disclosures such as TCFD, CSRD and California Climate Laws.

Navigating Unstructured Data: A CDO’s Roadmap to GenAI Success

Unstructured data has emerged as a central focus in the GenAI era, offering remarkable opportunities to boost growth and secure a competitive edge. However, this data also presents significant challenges for Chief Data Officers (CDOs) tasked with its effective governance. Traditional tools prove insufficient for managing unstructured data, necessitating new, unique capabilities to leverage it in GenAI applications.

Key questions include: How can we discover, classify, and catalog unstructured data? Which users have access to sensitive data within unstructured datasets? What measures can prevent the exposure of sensitive information? Is the data relevant, current, and free from duplicates? Which policies and regulations are applicable to unstructured data? How do we trace the provenance of data from unstructured data systems to GenAI models and endpoints?

Join Jack Berkowitz, (Chief Data Officer, Securiti) and Ankur Gupta (Director of Product Marketing, Securiti) as they explore how CDOs can adopt a comprehensive approach to unstructured data management, safely unlocking its potential and effectively operationalizing GenAI.

Key Takeaways:

  • The rise of unstructured data in the GenAI era

  • Challenges faced by CDOs in governing unstructured data

  • New governance capabilities required to harness unstructured data for GenAI applications

Navigating generative AI complexity: Scale from promise to production

As enterprises are eager to invest in AI and ML, CDAOs and heads of data management are being called on for help to rapidly scale generative AI prototypes into production. But what does that really mean? How should data and AI management evolve to support this requirement? This session explores key strategies for the new world. We’ll delve into tackling operating models, deployment complexity and cost. We will cover techniques for optimizing performance, ensuring security, automation at scale and adhering to regulations – all crucial for real-world implementation. Join us to discover how generative AI is maturing in 2024, with a focus on:

  • Foundational and technical requirements
  • Evolution in data and LLM operations
  • Criticality of orchestration and flow-engineering techniques
  • Best practices in responsible AI guardrail implementations

We will explore real-world examples and learnings, providing a practical perspective to these strategies.

3 Keys to Driving Economies of Scale when Mastering Your Data

From customers and products, to employees and locations, the demand for master data management has hit an all-time high. Managing golden records of your most important data is critical for more accurate and timely data & analytics, operational efficiencies, and risk mitigation – but how do you scale to address these competing use cases?

In this webinar you will hear and see the key capabilities that will drive greater economies of scale in a master data management solutions.  Takeaways will include:

  • Key trends that are driving new MDM use cases
  • Considerations to improve your business case
  • Demonstration of mastering employing employee, vendor, and product in the same solution

ESG Data Management Playbook: How to Produce Reliable Data

Markets are moving from voluntary and unstructured environmental, social, and governance (ESG) data and sustainability reporting to mandatory and standardized sustainability disclosures. To deliver and sustain these reporting trends, companies need a framework for properly managing their ESG and sustainability data. The good news is, they don’t have to start from scratch: the knowledge and tools to achieve quality ESG data and disclosures already exist and simply need to be brought to the rapidly emerging sustainability practices.

The EDM Council ESG Working Group has produced a practical playbook illustrating how two such tools, the COSO Internal Control over Sustainability Reporting (ICSR) guidance and the DCAM data management framework, can effectively be leveraged. In this webinar, the playbook’s authors will explain how companies can use it to achieve appropriately governed and managed ESG and sustainability data and disclosures.