May 14 data privacy & Compliance tied to ai
This webinar features AWS and Microsoft subject matter experts, discussing Data Privacy and Compliance in a Generative AI-Driven world. It is designed for not only IT/Technology leaders but also General Counsel/Attorneys, plus Finance/Audit, Corporate Risk and CyberInsurance professionals.
Topics to be discussed are summarized below. Click on the green button above to register, scroll down to see the full agenda, plus expert speakers. Click on their name to view their Linkedin profile, and session title for additional information. There is time for live interaction/Q&A with the speakers so have your questions ready.
We understand that you may attend for a portion of the webinar, perhaps for only the opening legal content, or will join later on. That is perfectly fine, please still register.
Comply with and understand rapidly evolving State, Federal and International Government regulations and laws: EU AI Act, US AI Executive Order, California Privacy Rights Act (CPRA), Connecticut Data Privacy Act (CTDPA), HIPAA, GDPR and more.
Satisfy disclosure requirements, through automated data analysis and report generation, for 3rd parties: SEC/Investor, Independent Auditor, Board of Directors, Insurer/Corporate Risk Consultant, Customer, Supplier
Verify that Generative AI Deployments:
Satisfy Responsible and Ethical AI guidelines, without implicit or explicit bias affecting results
Meet Business/Financial Objectives and do not create unintended, negative consequences around cybersecurity risks, possibility of breaches/attacks, and data privacy
Seamlessly integrate Gen AI and LLM capabilities with your existing Cloud and Application platforms
Design a Data Locality Framework and Strategy - where do you store information, internal data centers versus external cloud facilities? - that optimizes user performance, provides realtime backup and disaster recovery, and complies with applicable laws and regulations.
Establish policies covering data usage and analysis outside of IT, by line-of-business staff, to ensure compliance with data privacy/protection policies for the entire organization
Here is typical and highly positive Angelbeat attendee feedback, this from the IT Director at a global pharmaceutical firm: “All the events that you host are always enjoyable because they are to the point, not a sales pitch and an educational, factual experience.”
Please use your Angelbeat account - created on the secure Memberspace platform, at no charge - to register to attend this webinar (hosted on Zoom), which also lets you download slides, watch on-demand videos, plus signup for future programs with one-click. If you already have an account, you will be asked to confirm your registration. Otherwise you are prompted to fill out a simple contact form.
1:05 Ron Miller, Solutions Architect, AWS
Securing generative AI: data, compliance, and privacy considerations: This informative session provides technical, strategic and business guidance, to help you understand and satisfy the regulatory, privacy, and compliance challenges of deploying and building generative AI workloads.
1:35 Shailaja Suresh, Principal Enterprise Technology, Rivian
Mastering Data Strategy: Executive Insights into Effective Governance: This focused and concise session equips technology leaders with essential strategies for navigating the complexities of data governance. You will learn how to navigate ambiguities and integrate effective data strategies within your organization. transforming data challenges into opportunities for growth and innovation.
2:05 Balamurugan Balakreshnan, Chief AI Officer, Microsoft
Enhancing Trust and Protecting Data Privacy in the AI Era: Microsoft wants to empower our customers to harness the full potential of new technologies like artificial intelligence, while meeting their data privacy needs and expectations. This session will share key aspects of how our approach to protecting data privacy in AI – including our focus on security, transparency, user control, and continued compliance with data protection requirements – are core components of our new generative AI products like Microsoft Copilot.
2:35 Martin Holste, Field CTO, Cloud & AI, Trellix
Managing Generative AI Data Privacy and Compliance Risks: Gen AI can provide enormous productivity boosts, but it comes with certain risks to privacy and compliance. Learn what is and isn't shared with AI providers, where AI training data comes from, and how to manage the different implementations to ensure you can take full advantage of AI without putting your org at risk.