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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.

Designing and Managing Data Products

Although not a new concept, data products have been the subject of much attention and debate in recent times. Discussion, proposals, and opinions on what a data product is, what the benefits of data products might be and who can benefit are typical topics in this discourse. Clear answers to such questions have not been obviously evident. Perhaps what can be agreed is that good quality data assets are key to the success of every organization, and that treating a data asset like a product will increase its quality, its value and its utility both for producers and consumers of data. Within the EDM Council Data Products SIG we have been exploring this approach to develop a sound basis for designing and managing data products.

The EDM Council Data Products SIG has been running since early 2023. Beyond defining what we consider to be key criteria for data products, our objectives have been aimed at establishing and embedding data products within organizations to fully realise their worth. To achieve this we have borrowed from product thinking, proposed a life cycle and developed a conceptual metadata structure for data products. We have also used the Council’s method of providing advice, questions and prompts for data and data products practioners as well as providing key candidate artifacts that provide the basis for designing and managing data products.

This is an interim report from this SIG, which is expected to continue to develop and refine its understanding of data products. We also realise that data products will thrive within a wider context that includes data marketplaces and other product infrastructure. These two themes are part of the upcoming work for the SIG in 2024.

Mastering the Talent Advantage in an AI-Driven Job Market

The impact and reach of artificial intelligence (AI) has grown exponentially and has had an outsized influence on the job market across the country. This panel looks at the impact of AI and the changing landscape across businesses, leaders, and employees as we move into the new future of work.

Join this Session to Discover:

  • How businesses understand the impacts of rising AI demands on the workforce
  • What human resource leaders need to do to prepare for the workforce evolution
  • What employees and job seekers can do to thrive in this changing market

Trust Issues With Your Data? Fix Them Now Using an Integrated Approach

Do you struggle to ensure the data in your organization can be trusted to make confident decisions? Are you concerned that applying Generative AI or other advanced analytics techniques to bad data will only make this problem worse? Join us to learn how you to fix your bad data by applying integrated capabilities and trust your decisions.

In this webinar we will discuss: 

  • How a data governance framework is critical to ensure your teams understand the available data. 
  • Why an integrated catalog with metadata that is automatically created fundamentally changes the game for your users. 
  • What role AI can play in improving the quality of your data using capabilities such anomaly detection and automated suggestions. 
  • How to involve a broad set of users across your organization to ensure quality data is maintained. 

One for All: Leveraging Cloud in Client, Account & Product Data Mgt

While many firms are already managing their client, product, and account data, too often these domains are managed in multiple systems without standard workflows, connectivity, or capability to cross reference between systems or across the three domains. Managing them together has exponential, compounding benefits – and can accelerate your cloud data transformation.  

Join this session to discover: 

  • What CAP Data Management is 
  • Why you need it 
  • Common issues and challenges 
  • Recent use cases and best practices 
  • Why it’s even more important in the cloud data explosion 

Securing Data in the Era of GenAI & LLM Technologies

GenAI and LLMs are great technologies and here to stay. Yet what protections are there with knowing, protecting, and controlling sensitive data? How are permissions enabled to use data with these AI-type technologies, when there are more stringent data privacy regulations coming online now and on the horizon in addition to a firm’s policies and standards with managing and using data? A well-executed data protection strategy can augment and even enable such use of these technologies for the good let alone prevent bad outcomes with data. Ultimately, these can help accelerate digital transformation and gain the agility, speed,
and data integrity needed for successful commercial outcomes.

Join this session to discover:

  • How GenAI & LLMs are used to automate workflow solutions, especially with unstructured data, and considerations for risks and mitigating controls
  • The importance of a set of systemic checks and balances when using GenAI & LLMs to stitch data together for research, language translation, reconciliations, workflow management, records updates, and other needs across business use cases
  • The relevance of protecting sensitive data via a data-centric security capability:
    • Knowing your risk
    • Protecting your sensitive data assets
    • Controlling how your data assets are used
  •  The types of sensitive data needs and why they are relevant, whether personal data as related to AML / KYC requirements or firm Intellectual Property data as related to strategic new product launches

Get Extraordinary Things Done Faster, On Time and Under Budget

When the clock is running down on a project, emotions are fragile, and the budget is expanding by the second, what does a great leader do—fold or find a way to make it happen? As many of us are planning for 2024 goals, register for the Women in Data Professionals Forum Global webinar to help you achieve success. Guaranteed, if you are in this work situation, the first challenge is to survive. The next one is to figure out how to thrive.

Thriving is what Sherry Winn does. Sherry is a two-time Olympian, National Championship basketball coach and a renowned leadership speaker focusing on motivation. She brings common sense, simple steps, and practicality to the awareness of your team.

Getting things done faster, on time, under budget and exceptionally begins with the right attitude and continues with careful communication throughout the project. You will discover the power of preparation, organization, and simplicity and the capacity to apply them in the toughest of situations.

Benefits:

  • Double productivity in half of the time.
  • Use laser-focus on priority issues to reach goals faster.
  • Increase innovation and motivation for top results.
  • Three secrets to save ten hours a week.
  • Win your goals with a championship mentality.

Evolution of Data and AI Webinar Series Part 1: Data Management in an AI-Driven Era: Why MDM is No Longer Sufficient

Amidst the relentless data surge, organizations need efficient and effective ways to manage their data assets. Traditional master data management (MDM) solutions have served as the standard for data management for years. However, limitations in scalability, agility, and data quality are becoming increasingly apparent with the rise of AI and the increasing complexity of data. A new player has emerged: data products.

Join us as we delve into the key differences between traditional MDM and AI-powered data products. Explore how data products leverage artificial intelligence (AI) and human intelligence to deliver a superior approach to data management.

Key takeaways:

  • Understanding the shift: data products vs. traditional MDM
  • Leveraging data product capabilities for success
  • The organizational impact of data products
  • Data product strategy implementation: key considerations for building vs. buying

Join us to stay ahead in the evolving world of data management!

Evolution of Data and AI Webinar Series Part 2: Innovations in Data and AI in 2024 and Beyond

Artificial intelligence (AI) has quickly become a part of everyday life, with the emergence of generative AI (GenAI) accelerating its global accessibility. In business, GenAI expedites code development and personalized marketing campaigns for maximum impact. As AI continues to advance at an unprecedented pace, this evolution is instigating a transformative shift that is reshaping the landscape of data and its myriad applications.This session will explore cutting-edge innovations and challenges shaping the future of AI in 2024 and beyond.

Join our industry experts as they explore:

  • The significance of data quality in ensuring successful AI development and deployment, and strategies to achieve it
  • Why traditional master data management (MDM) is no longer adequate in the face of AI and how data products are emerging as a more powerful solution
  • The evolving role of data teams in an AI-driven era, necessitating a shift from purely technical expertise to a more strategic, business-oriented approach
  • The new data culture that fosters collaboration, enabling organizations to fully leverage the potential of AI

This session is essential for organizations seeking to remain at the forefront of the rapidly evolving world of data and AI.