Third-Party Revolution: Redefining Data Security with Copilot and GenAI
In an era where third-party collaborations are crucial to business innovation and efficiency, ensuring robust data security is more challenging and essential than ever. With the advent of advanced AI technologies like Copilot and GenAI, organizations are now equipped with powerful tools to navigate these complexities. But how do these technologies reshape the landscape of data security, and what strategies can businesses employ to protect their sensitive information?
This session will explore:
The Evolution of Third-Party Collaboration: A historical perspective on collaboration methods and how GenAI is revolutionizing the way organizations interact and share data with external partners.
Understanding Copilot and GenAI: An in-depth look at these advanced AI technologies, their capabilities, and how they enhance productivity and security in collaborative environments.
Data Security Challenges: Identification of the unique security risks associated with third-party collaborations and the integration of AI technologies.
Best Practices for Mitigation: Proven strategies and best practices for securing data, including real-world examples and case studies of successful implementations.
Our expert speakers will provide valuable insights into leveraging Copilot and GenAI to safeguard your data while maximizing the benefits of third-party collaborations. Whether you are a data security professional, IT manager, or business leader, this webinar will equip you with the knowledge and tools needed to navigate the complexities of modern data security.
Don’t miss this opportunity to stay ahead of the curve and redefine your approach to data security in the age of collaborative AI. Register now and join us for an engaging and informative session that promises to transform your understanding of third-party data security.
In the fast-changing world of AI, it’s crucial for organizations to effectively manage data sensitivity, access rights, model risks, and compliance. This webinar, featuring experts from Securiti and Databricks, explores how unified data intelligence is key to establishing strong governance frameworks for data and AI.
Learn about strategic ways to incorporate governance, security, privacy, and compliance into your data and AI initiatives. We will discuss both foundational concepts and real-world applications. In particular we will show how organizations can effectively utilize both unstructured and structured data in AI endeavors safely, using the example of how the integration between Securiti and Databricks enhances data governance and enablement.
Key Takeaways:
Navigating Complexities: Understand how to manage data sensitivity, access issues, model risks, and compliance to boost the success of your AI projects.
Safeguarding Data Across Stages: Discover how implementing robust policies at key data handling stages can safeguard data usage
Live Demonstration: See firsthand how to ensure the secure and compliant use of data in AI applications with real-world integration between Securiti and Databricks.
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 ClimateESGDisclosures, due in January 2025, not surprisingly, the World Economic Forum has put Extreme Weather as the No1 risk for businessesin 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. ClimateRisk 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 atInformatica 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:
EmergingClimate Regulations Globally
Innovationsin ClimateRisk Insights
Impactsof ClimateRisk for Insurance as well as Banking, Retail CPG, Health Care & Lifesciences and Supply Chains
How to Leverage ClimateRisk Insights and GenAI to unlock ClimateResilience and Product Innovation
Accelerate your ESGClimateDisclosures 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.
Announcing the new EDM Association
EDM Council has signed a definitive agreement to acquire the Object Management Group. Bringing together data, software, systems, knowledge engineering and standards capability, and reflecting our global growth, EDM Council is changing its name to EDM Association.
