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?
Map & Measure Your Data Management Journey with the Data Excellence Program
A major, cross-industry gap constraining the data management function is a lack of formal recognition of data management capability at the organizational level. Without this recognition, data management typically faces significant challenges to secure funding as an ongoing program and to elevate and acknowledge the importance of data management as a core function in an organization.
Join this EDMWebinar to learn more about the EDM Council’s new Data Excellence Program – the first of its kind – for mapping your organization’s journey to measuring, achieving and sustaining data excellence and earning formal recognition.
You will learn more about the program’s key elements and benefits including:
Data Management Program – Establish data management as an ongoing program, rather than a singular or one-off project, with journey mapping and goal-setting for continuous, organization-wide improvement
Funding Support – Establish measurements and compare to peer benchmarks to assist with funding justification
Business Value – Strategically align your data program to your organization’s business goals
Trusted Data – Assure data quality, security, governance, compliance, and ethical use of data
Global Recognition – Earn formal industry recognition for your organization’s ongoing commitment to data excellence
Meet some of the Founders of the Data Excellence Program who will discuss why they support the program and delve into the current and future value they expect to deliver to their own organizations!
Automating CDMC key controls with BigID: Perspectives from LSEG
Forthcoming AI frameworks and privacy laws in the US and Europe on the responsible and ethical use of data are shaping organization’s data management practices. Control frameworks such as EDM Council’s Cloud Data Management Capabilities (CDMC) help companies stay ahead of regulations and demonstrate independent data compliance. By automating cataloging and classification capabilities that help to secure and protect their data, companies can build guardrail controls to ensure trusted data is utilized for AI models and sensitive data is protected in automated decision technologies.
Attend this session with LSEG, BigID and Projective Group to learn why LSEG is staying ahead of the data curve by adopting the CDMC framework.
During this session, you will:
Learn the strategic importance of aligning technology and industry leading frameworks.
Hear from Peggy Tsai on why BigID partnered with Projective Group to certify BigID on the EDM Council, Cloud Data Management Capabilities (CDMC).
Hear from Scott Beange from Projective Group who will share his insights on the value Projective has realized from the EDM Council partnership.
Dive into the CDMC certification process and the validation of the CDMC 14 key controls with Stephen Gatchell from BigID and Shobana Ragothaman from Projective
Learn key controls around AI from Oli Bage at LSEG that utilized the CDMC key controls as a foundation.
