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1:00pm
Registration & Light Lunch
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1:45
Chair’s Opening Remarks
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1:55
Panel Discussion: Can you keep up with the rapid digital transformation and data developments?
Panelists:
Wendy Zhang, Vice President & Analytics, HAYWARD HOLDINGS
Rashu Garg, Managing Director, Head of Enterprise and Analytics Platforms, WELLS FARGO
Jalaj Roy, Vice President, Enterprise Data Architecture, DEUTSCH BANK
Diego de Aragao, Senior Vice President, Balance Sheet Management & Analytics CITI
- How can you gain, and maintain buy in from those horizonal and vertical to you?
- What are the key principles to driving a culture of data? Do these really work?
- How to effectively navigate people process and change management as part of your data strategy
- Data monetization and new revenue streams; what are some strategies to monetize data assets and create new revenue streams, whilst ensuring compliance with privacy regulations?
- What does good engineering, infrastructure and architecture look like in your enterprise?
- What are the latest trends in financial technology and how can data analytics be leveraged for innovative solutions?
- Designing and delivering data governance and analytics capabilities in line with business goals
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2:40
Transform business and build product strategies using the power of data, ML, AI and strategize movements to Cloud
- Leveraging data analytics and AI to inform strategic decisions
- Implementing ML algorithms to personalize products and services
- Harnessing AI to extract actionable insights from vast datasets
- How to strategically move applications, data and workloads to the cloud
- How can moving to the cloud allow businesses to quickly adapt to changing market dynamics, scale resources as needed and respond to disruptions
Keynote by Kyvos
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3:10
Business Meetings & Networking Break
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4:10
Enhancing the link between your business strategy and data strategy
Lurdu Kunireddy - Director, Enterprise Data Science & AI - BMO Financial Group
- Insights into how enhance value creation occurs when data goals and business goals are aligned
- The importance of agile and adaptable data strategies as a response to changing business needs
- How can a robust data strategy empower informed decision making, optimizing process and identifying growth avenues for business success -
4:40
Business Meetings & Networking Break
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5:10
Panel: Challenges and Opportunities of Generative AI, Predictive Analysis and Risk Management
Panelists:
Erum Manzoor, Senior Vice President, CITI
Rajiv Prakash, Head of Data Engineering, Bank & Digital, ALLY
Satya Choudary, Vice President, Data & Analytics – Global Head of Cloud Platform, Data Engineering & Management, Data Science & ML/AI, CREDIT SUISSE
Rashu Garg, Managing Director, Head of Enterprise and Analytics Platforms, WELLS FARGO
Moderated by:
Bhaskar Kalita, Global Head of Financial Services & Insurance, QANTHIPHI- What are some of the potential risks associated with generative AI and the need for robust ethical frameworks
- Address challenges of protecting sensitive information, ensuring compliance with data regulations, and addressing the potential vulnerabilities
- Explore strategies for implementing privacy-preserving techniques to maintain integrity and confidentiality of data
- Insight into advances predictive modelling techniques for risk assessment, credit scoring, market analysis and investment strategy formulations
- Uncover how organizations can harness generative AI to generate novel ideas, prototypes, and insights, ultimately driving innovation and competitive advantage
- Discuss the potential of generative models to create realistic synthetic data
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5:55
Chair's Closing Remarks
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6:00
Cocktail Reception
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8:00am
Registration, Breakfast & Open Networking
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9:00
Chair’s Opening Remarks
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9:10
Panel: Leading-Edge CDAOs - Overcome Cultural Barriers to Deliver Value from Data and Accelerate Growth
Panelists:
Pawan Verma, Chief Data Officer BANK OF CHINA
Aweh Teh, Vice President, Data Governance & Privacy Engineering, CAPITAL ONE
Tu Le, Head of Retail Bank Operations Analytics, USAA
- Highlight the importance of fostering a data-driven culture essential to deliver growth and value amid cultural barriers
- Fostering an environment that enables self service data
- Addressing resistance to change within a large organization, and the importance of looking to the future
- Upskilling and reskilling the workforce to succeed in an evolving AI age
- How can enhanced culture and upskilling of the workforce improve business performance and data driven decision making
- Understanding the impact of a poor culture can hinder data sharing, quality and collaboration to foster new insights
- Discuss how to effectively encourage collaboration and leverage collective expertise
- The importance leadership in setting a data-driven vision for your organization
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9:55
Effective data management to drive digital transformation
Jen Courant - Head of Technology, Data & Innovation - Deutsche Bank
- Understanding how data management impact customer satisfaction and business growth. How can this be leveraged?
- How can data warehouses, data lakes, the cloud and advanced analytics tools can improve data management?
- Meeting regulatory compliances and privacy laws
- The future of data management in an increasingly digital world
- Best practice and strategies for data resilience
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10:25
Mastering the Data and AI Revolution: A Practical Blueprint for Data and AI Innovation in Financial Services
Sachin Solkan - Vice President AI Search Platforms - FIDELITY INVESTMENTS
This presentation is specifically designed for leaders, architects, developers, and business executives specializing in data, analytics, AI, and machine learning within the financial sector. It presents a practical and stimulating blueprint for the effective development of data and AI products and platforms within their organizations.
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10:55am
Business Meetings & Networking Break
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11:55
Harnessing the Power of AI for Good: Empowering Data Leaders to Drive Positive Impact
Diego de Aragao - Senior Vice President, Balance Sheet Management & Analytics - CITI
- Discover best practices for ethical AI implementation, including responsible data collection, unbiased algorithm development, and transparent decision-making processes
- Understand the importance of cross-sector collaboration and partnership-building to maximize the impact of AI for good
- Keeping transparency at the forefront of AI in order to maintain trust and regulatory compliance
- Explore real-world case studies where data leaders successfully implemented AI-driven initiatives that resulted in tangible benefits for communities and the environment
- Gain insights into strategies for measuring and evaluating the effectiveness of AI for good projects, demonstrate the value and outcomes of their initiatives to stakeholders and the wider community
- Examine ethical considerations in algorithmic trading, robo-advisors, and investment strategies
- How can AI potentially impact market integrity
- Discuss the impact of ethical AI practices on public perception
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12:25
Implementing Robust Data Governance Frameworks to Ensure Data Quality and Compliance
Arijit Bhattacharya - Head of Data Governance - Northern Trust Asset Management
- Defining clear data ownership, establishing data standards, and enforcing data quality controls
- Creating data dictionaries, data lineage tracking, and metadata management to enhance data understanding, traceability, and compliance with regulatory requirements
- Implementing data governance policies and procedures, including data classification, access controls, and data retention strategies, to protect sensitive information and meet compliance standards
- Conducting data audits, data quality assessments, and implementing data validation processes to proactively identify and address data quality issues
- Foster a culture of data governance and compliance, providing training and awareness programs to educate employees on their roles and responsibilities in maintaining data quality and adhering to data governance policies
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1:25
Lunch & Open Networking
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2:25
Panel Discussion: Leveraging AI and ML to meet the needs for data, meet corporate goals, drive business value and meet consumer needs, & human centric AI & collaborative analytics
Panelists:
Brandon Walker, AI Strategy Lead, Rocket Mortgage
Abha Dawesar, Divisional & Analytics, Institutional Investor Group, VANGUARD
Satya Choudary, Vice President, Data & Analytics – Global Head of Cloud Platform, Data Engineering & Management, Data Science & ML/AI, CREDIT SUISSE
Camden Wiggins, Senior Risk Analyst, Digital AI & Advanced Analytics, ALLY
- The pros and cons of natural language processing to provide instant customer support and streamlined interactions
- Exploring the intersection of AI and human collaboration in data analysis, focusing on how AI can augment human decision making rather than replacing it
- How to leverage AI and ML to make data driven decisions and improve risk management and therefore potential financial loss
- Ensuring C-Level executives and board members understand the newest developments
- How AI and ML can be used for behavioral analytics
- Innovative products and services paving the way for the future. How do you remain competitive?
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3:10
Beyond the Hype – Deploy Emerging Tech to Drive Value and Integrate it with your Current Stack
Ra - Head of Data Engineering, Bank & Digital - ALLY
- Successfully navigating the rapidly evolving landscape of emerging technologies and determining which ones hold true value for your organization
- Integrating emerging technologies into the current technology stack
- Overcoming resistance to change and fostering a culture of experimentation and innovation
- Investing in skilled resources and expertise - acquiring the right talent to effectively deploy and integrate these technologies into the current stack
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3:40
Afternoon Tea & Networking Break
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4:10
Panel discussion – Improving your data strategy, data management, data governance and data security
Panelists:
Ravi Bandaru, Director, Strategy and Innovation Lead, Enterprise Data Management Operations, BANK OF AMERICA
Rajiv Prakash, Head of Data Engineering, Bank & Digital, ALLY
Tu Le, Head of Retail Bank Operations Analytics, USAA
Lurdu Kunireddy, Director, Enterprise Data Science & AI, BMO FINANCIAL GROUP
- Understanding the importance of your data strategy being part of your business strategy
- Discuss the role of a data steward in ensuring data quality and compliance
- Understanding the importance of robust data architecture in effective data management
- How can data architecture improve and support scalability, performance and data integration?
- How can data quality be continuously be improved in order for data driven decision making
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4:55
Chair's Closing Remarks & End of Conference
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