
In an era defined by rapid change and relentless innovation, masterful data leadership has never been more crucial. CIOs, CTOs, CDOs, and IT leaders find themselves under significant pressure to spearhead data-driven innovation, instigate transformative change, and enforce robust data security.
Join us at the virtual Argyle CIO Leadership Forum on July 16,2024 where you’ll hear how top companies are applying cutting-edge strategies and technologies to maximize data in the ever-evolving digital terrain.
Discover how to successfully manage data through the dynamic convergence of AI, innovation, and transformation.
You will also learn:
Modern enterprises collect and use so much data that it can feel like a data tidal wave that’s swamping and smashing everything you’re trying to accomplish. Skillful data leaders govern and direct this data, so instead of a tidal wave, it becomes the sea that your business is floating on. What does it mean to be a data leadership, and how is data leadership evolving?
Join this informative session to learn how to evolve your data leadership practice to meet tomorrow’s challenges.
You will also learn:
Security & Privacy Executive, Healthcare Cybersecurity
Controlling security risk in an AI using enterprise requires creating an AI governance system that achieves accessibility, privacy and security, as well as ethical and effective use of AI-all at the same time. It’s a lot to juggle, especially given that your AI governance system is probably made up of compromises between stakeholders with different needs and levels of security literacy.
Join this discussion at Argyle’s CIO Leadership Forum for a walkthrough of how CIOs use AI governance policies to ensure that their enterprises benefit from AI while keeping their stakeholders safe.
You will also learn:
Chief Information Security Officer
Chief Information Officer
Partner, Co-Chair Privacy and Cybersecurity Practice
Chief Information Officer
In today’s business climate, organizations of all sizes depend on their data to operate, differentiate themselves from their competitors, and ultimately, use it to prosper. This means companies are storing massive volumes of data, and while we are in large part protecting these terabytes, petabytes, and exabytes from disasters and mayhem, most companies are struggling with something more fundamental and basic: What knowledge is in that data and how can we can extract it from all that data we store and protect?
Join us as we look at what GenAI is, what it could mean for your organization and how it can help in transforming all that data into knowledge that can help you gain the competitive edge.
You will also learn:
Product Management Leader
Enterprises are increasingly adopting AI applications and utilizing various types of data (structured, unstructured, and semi-structured) to enhance their business processes across different industries. However, despite recognizing the significance and potential of AI, organizations often face challenges in formulating a strategy and implementing it effectively.
To fully capitalize on the benefits of AI, enterprises need to integrate AI at the data level, ensuring that it supports the entire data management lifecycle, from data ingestion to curation and discovery. This integration will enable the development of applications that are built on top of the data, maximizing the potential of AI.
Attend this session to learn;
Senior Director, SAP Business Technology Platform Center of Excellence at SAP
There are, to put it lightly, many competing claims about generative AI. It’s going to be everybody’s super-capable, always on assistant! It’s going to turn on us! It’ll do something in between! In this session, our speaker will level with you not just about use cases, but about actual uses for generative AI that are taking place right now.
Join this practice-focused session to hear case studies about how data leaders like you and AI products like the ones you use are decreasing costs and increasing revenue.
You will also learn:
Senior Vice President, Health Plan Operations and Chief Information Officer
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