Data Controls, Generative AI, and Financial Services Needs
Financial services have been juggling migration to multi-cloud, data-driven decisioning, real-time processing and increasingly complicated regulatory requirements. To add to the mix, of both opportunity and complexity, they are now navigating Generative AI. Tackling these challenges requires building a common framework of data controls that enables collaboration, accelerates innovation and mitigates risks.
Join industry leaders Irakli Nadereishvili from JPMorgan Chase, Chris Napoli from Snowflake, and Jocelyn Houle from Securiti as they explore how financial services firms are navigating the risks and benefits of Generative AI and more.
They will address:
The challenges of Generative AI in financial services
Evaluating bias and accuracy of Generative AI models
How financial services organizations are benefiting from Generative AI
Building a common data framework to identify and protect sensitive data throughout a complex multi-cloud landscape
Safely sharing data with internal and external stakeholders, including masking and differential privacy
Embedding automated controls to enable your organization to address compliance and other data obligations
Enterprises are building powerful Data Hubs, however harnessing external data at scale is hard. The complex and often fractured dynamics of accessing and utilizing external data leave valuable gains unrealized. In this webinar, we will discuss how enterprises are expanding their Data Hubs with external data.
Tokenization: Make data portable and win at Zero Trust
In this webinar, we will discuss how format-preserving encryption or tokenization provides strong data security and simplifies sharing data with downstream applications with minimal risk. Once data is secured with tokenization, you can apply granular access controls at the data level and address Zero Trust principles, no matter where the data resides.
We will highlight real-world use cases of modern organizations containing sensitive data flowing between clouds and data centers and the challenges they face in enforcing data privacy and security regulations. Learn practical tips on applying tokenization in the data’s lifecycle and how to manage the encryption keys.
During this webinar, we will address how tokenization will help you:
Keep data private and limit risk
Simplify compliance challenges
Analyze and find meaning in encrypted data
Deploy Zero Trust principles at the data level
Driving Data Literacy – A Company Use Case
Why is everyone talking about “data literacy” these days? For organizations to be data-driven, achieve their strategic objectives and compete effectively, their data assets must be used to their full potential by everyone across the business. Join our webinar to learn more about data literacy and its benefits for business, and to hear a real-world use case to advance a data-driven culture and better business.
We depend on data at an astonishingly increasing rate. But not everyone is prepared or knowledgeable to use data effectively. Data literacy is the ability to read, understand, create, and communicate data as information. It’s the understanding of the scope, depth and impact of information on what we do and the decisions we make. All employees across an organization have a growing dependency on data, but they are not always armed with how to access, understand, manage and use it.
CDO’s ESG Data Management Masterclass – Building a Holistic ESG Data Strategy
The demand for ESG sustainability data is growing exponentially across the globe as publicly traded companies prepare themselves to comply with new regulations that go into effect in January 2024. These include the Securities Exchange Commission’s (SEC), TCFD (Taskforce on Climate-Related Financial Disclosures) and the EU’s CSRD (Corporate Sustainability Reporting Directive) to name a few. Experts predict that the volume, complexity, tolerance levels, and different data sources of internal systems to third-party data providers that make ESG sustainability data will be challenging for organizations that lack a sound and holistic ESG data strategy and capable data management and data governance technology and competencies.
Join industry experts from Informatica, Deloitte and Snowflake as they outline the critical success factors in building a holistic data strategy for all verticals (Financial Services, Retail, Life Sciences, etc.). You will learn:
The impact of the ESG Materiality Assessment on the ESG Data Strategy
How to align the ESG Data Strategy with the ESG Sustainability Strategy
How to mobilize an ESG Data Governance Program
ESG Data Architecture and Platform Considerations
Accelerating new Business Models for Banks with Data & AI
Most traditional banks are weighed down by data silos and long accrued technical debt creating significant data and decision-making overhead. Getting the data foundation right, with a sound insight-centric data model is the prerequisite for banks to be able to offer real-time, hyper-personalized offers and smart decisions related to loans and other digital banking products.
In this talk, we discuss the importance and necessity of a sound data model that enables banks to operate with higher efficiency and effectiveness in the era of digital ecosystems. We will discuss some success stories where we are helping customers design and implement novel industry-aligned enterprise data models and transforming their businesses to become data-driven, analytically focused, and customer-centric.
The discussion will explore:
Building sustainable data models that usher banks into a new era of data reciprocity to turbocharge AI use cases
Real-time AI use cases around hyper-personalization
AI-driven decision-making and real-time offers in the era of ecosystem players
Leveraging Machine Learning for Data Management
In today’s data-driven world, organizations face the challenge of effectively managing their data to extract valuable insights and make informed decisions. During this presentation, we will explore how Machine Learning (ML) techniques can transform data management practices, specifically focusing on data quality.
We will delve into the power of ML in revolutionizing data management processes. From data reconciliation to comprehensive data quality assessment and establishing robust data lineage, ML offers a wealth of powerful capabilities to streamline data management.
Join us to learn how ML is reshaping the landscape of data management. You will discover how organizations can leverage ML techniques to ensure utmost accuracy, consistency, and reliability of their valuable data assets.
Data, Records & Compliance, Oh My!
The relationship between data and records continues to grow and evolve. So, how do you get the most out of your information, while ensuring proper security and compliance processes are followed? During this session, our panel of experts will dig into the most concerning topics they’re seeing in attaining collaborative management of information as well as address your pressing questions as they pertain to data and records lifecycles.
Top Trends and Challenges in the Cloud
Gartner predicts that by 2026, 75% of organizations will adopt a digital transformation model predicated on cloud as the fundamental underlying platform. It is clear that cloud is here to stay and will continue to be top of mind for organizations of all sizes for years to come. To have a successful cloud strategy, not only is it important to know how other organizations are successfully migrating their architecture, but also how they are handling operations once they make the switch.
However, moving to and operating in the cloud successfully is not as easy as purchasing some public cloud credits and calling it a day. There are many common challenges that organizations face as they move to be cloud-first. By understanding more about these challenges, organizations can avoid expensive consequences.
Join this session to learn about:
Top trends in cloud migration and computing
Common challenges that organizations face as they move to a cloud-first approach
Consequences that organizations face when they mishandle cloud adoption
The Value of Data Leadership and Expertise in Sustainability Programs
There is a shift in enterprise data strategy due to the increased importance of sustainability practices such as ESG reporting, climate action, circular economy, and social responsibility in both the public and private sectors.
The future of these programs is dependent on creating the right data-driven initiatives to create an intelligent, sustainable enterprise. Join a live conversation between Ridwan Bhuiyan (Team Lead Data and Analytics for Sustainability at Zalando) and Tina Rosario (Chief Data Officer for EMEA at SAP) as they discuss the role of data management and leadership in sustainability programs.
During this webinar, we will cover:
What are typical data management capabilities and organization required for sustainability?
What are the data standards and security challenges?
What are typical data sources and the role of data sharing?
What are the capabilities needed for sustainability reporting?
