The government is encouraging the development and evolution of AI by setting new standards for innovative development that is to change our society. There isn't a conference or networking event in the data, information, and insights space, nor the consumer privacy, security, and safety space that isn't discussing this. In this session, we will review:

1. Some historical context of our innovations and advances

2. Where we are today as corporations, consumers, and society

3. How individual consumers, corporations, and governments are leveraging AI today

4. The accelerated pace by which this EO has come about 

5. Why data governance and data quality matters now more than ever

6.  Why regulatory guardrails will not slow innovation but accelerate it

Join me in this conversation about what's leading us to a hyper-consumer-centric and hyper-data-centric, highly digitized, and machine-generated world and why data frameworks and strategies are going to strongly drive the way forward.

Speaker: Deepak Bhaskar

Deepak is a business data strategy, operations execution, governance, management, analytics, and compliance leader. He assesses firms' data assets and provides compelling data-centric and customer-centric business cases with phased roadmaps for the data challenges and digitization while leveraging APIs and vendor-managed cloud solutions. His industry experiences are in SaaS, marketing, payments, telecoms, energy utilities, financial, legal, and retail firms. He was a leader at Thomson Reuters and Digital River and took on consultant roles at Broadview Federal Credit Union, VISA, Chico's FAS, Thrivent, and Xcel Energy. His engagements have included corporate re-orgs, risk and compliance initiatives, RFPs for data operations modernization with new vendor tools/data products, SAP/Oracle, Salesforce/CRM, data lake/data warehouse implementations and migrations, data monetization, data programs, COE/process optimizations, and proposing new ways to manage data as a strategic asset. He was DAMA-Minnesotaís past President and Communications Officer, a member of DGPO, IAAP, UNA-USA, and a senior member of IEEE-USA.

Speaker: Loretta Mahon Smith

An executive thought leader for data risk management and data strategy, Loretta has a proven track record of implementing business value through innovative uses of enterprise information with Data Risk Management, Data Governance, AI Data Governance, Data Strategy, Logical Data Models, Metadata Management, Enterprise Data Warehouse and Data Mart Design, Data Profiling and Master Data Management.  She is an accomplished speaker, writer, and facilitator, adept at relationship-building in business and technical environments. Ms. Smith enables business and technical professionals to communicate using data modeling, technical writing, and presentation skills by creating technically accurate visual and written documentation of data requirements at the conceptual, logical, and physical levels. She mentors on all facets of Data Stewardship, Data Governance, Data Architecture, Data Modeling (Structured, Unstructured, Streaming, Big Data), and Business Intelligence. 

Additionally (Twitter @silverdata), Loretta is the Past President of DAMA International, a not-for-profit, vendor-independent, global association of technical and business professionals dedicated to advancing the concepts and practices of information and data management. In this elected position, through 2017 - 2020, Loretta focused on transparency, trust, and effective operations in all DAMA-I initiatives. As Past President, Loretta serves on the DAMA International Board of Directors.

Ms. Smith has achieved mastery-level certifications from DAMA International as a Certified Data Management Professional (DMBOK v1), TDWI as a Certified Business Intelligence Professional, and the ICCP as a Certified Computing Professional and Certified Data Professional.

Speaker: Lulit Tesfaye

Lulit Tesfaye is a Partner and the VP for Knowledge & Data Services and Engineering at Enterprise Knowledge, LLC., the largest global consultancy dedicated to Knowledge and information management. Lulit brings over 15 years of experience leading diverse information and data management initiatives, specializing in technologies and integrations. Lulit is most recently focused on employing advanced Enterprise AI and semantic capabilities for optimizing enterprise data and information assets.

Speaker: William Tanenbaum

William A. Tanenbaum is the Leader of the AI & Data Law Practice at the law firm of Moses & Singer LLP in New York. He is recognized as a “Global Thought Leader” and a “go-to” lawyer on data and a “leading name in AI” by Who’s Who Legal. He was named as the “Lawyer of the Year” in IT in New York by US World & News Report.