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.
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.
AI Empowerment: How AI can improve productivity and profitability in the financial services industry
Join us for our next Women Data Professionals Leadership series webinar where we will delve into the transformative power of Artificial Intelligence (AI) in the investment management industry. Our speakers will cover:
The latest AI trends shaping the sector
Offer valuable insights into Rimes’ AI strategy and the pivotal role of the Rimes Data Lakehouse
Cultural strategies necessary for the successful adoption and integration of AI within organizations
Provide unique perspectives and valuable lessons learned as a woman in the data and AI field
Don’t miss this opportunity to gain a deeper understanding of AI’s impact on the investment landscape!
AI-Ready Data: Transforming Projects into Production
Moving AI projects from the laboratory to production requires careful consideration of data preparation. Join us for a fireside chat where industry experts, including Antonio Cotroneo (Director, Product Marketing, Precisely) and Sanjeev Mohan (Principal, SanjMo), will discuss the crucial role of AI-ready data in achieving success in AI projects. Gain essential insights and considerations to ensure your AI solutions are built on a solid foundation of accurate, consistent, and context-rich data. Explore practical insights and learn how data integrity drives innovation and competitive advantage. Transform your approach to AI with a focus on data readiness.
AI, Data & Analytics Controls (ADAC): Using CDMC for AI Use Case Governance
Join us for our EDMWebinar which will cover the AI, Data & Analytics Controls (ADAC) framework, a pivotal extension of the CDMC to encompass governance for Analytics & AI use cases.
In this session, we will delve into the development of the ADAC framework, which will offer a comprehensive overview and will detail best practices and automations for managing risks within AI and Analytics platforms. ADAC builds upon the CDMC (Cloud Data Management Capabilities) industry framework, which defines the standards for effective data management, controls and automations to protect sensitive data. CDMC was developed by a consortium including EDM Council, LSEG, Morgan Stanley, Goldman Sachs, JPMorgan, AWS, Azure, Google, and Snowflake in 2021.
Our webinar will also highlight the ADAC working group, which convenes on Mondays at 3 pm GMT / 10 am EST. This group includes representatives from financial services firms such as Standard Chartered, UBS, and JPMorgan, as well as subject matter experts from specialist AI, data, and analytics firms, including Databricks.
We are making our lives more difficult and have been fooled into thinking more is better, especially when it comes to data. What is currently happening in the world and why do we need to take data hoarding seriously? Let’s get everyone to play nicely together and get data right by getting us all a little bit of data therapy.
Join this session to discover:
What is the hoarding principle and where is comes from?
Why Technology is not coming to save us
What data therapy is and learn the steps on how to provide it for your organisation
An overview of what’s happening in the data and AI market and how to react
Making Your Cloud Investments Deliver Business Value
Cloud is the new frontier for modern analytics, applications, and AI across all industries. The migration from legacy on-premises systems to the cloud is fraught with challenges from a data management and data governance standpoint.
Success depends on having the right strategy, people, technology, and processes to ensure cloud modernization investments are completed on time, within budget, and perform to your business’s expectations. Unfortunately, too many new and existing cloud investments are at risk of not delivering business value in support of today’s most important business priorities.
Our expert speakers will discuss:
Why are companies investing in the cloud and what are they investing in?
What are the top data challenges and requirements to consider and overcome when adopting the cloud for modern applications, analytics, and AI?
How can the EDM Council’s Cloud Data Management Capabilities Framework (CDMC) help with new and existing cloud strategies?
How does Informatica support CDMC for cloud modernization?
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.
