Exploring the Future of Business with AI and Data Innovations
Dun & Bradstreet's Upcoming Data & AI Summit 2024
Dun & Bradstreet (NYSE:DNB), a premier global provider of analytics and business decisioning data, has announced the highly anticipated Data & AI Summit 2024. This event is designed to unite industry leaders, data specialists, and AI innovators to explore crucial strategies for harnessing the power of AI in business.
Event Details and Highlights
Scheduled for October 3, the summit will be hosted both in-person in Chicago and virtually, making it accessible to a global audience. Attendees can look forward to gathering actionable insights on utilizing AI-driven data analytics for business objectives. Registration is complimentary, emphasizing Dun & Bradstreet's commitment to sharing knowledge and empowering business leaders.
Keynote Speakers and Discussions
The Data & AI Summit 2024 boasts a roster of distinguished speakers, including executives from Dun & Bradstreet and notable customer and partner representatives. They will lead in-depth discussions focusing on real-world use cases, initiating with a keynote address from Dun & Bradstreet's Chief Data & Analytics Officer, Gary Kotovets. His session will delve deep into the "Data and AI Challenges and Trends" that are shaping the industry.
Topics Set to Transform Business Thinking
Participants can expect discussions surrounding pivotal subjects like adapting to a digital-first economy, leveraging AI for enhanced entity resolution, and tackling data quality challenges. These conversations seek not only to inform but to prepare businesses for the dynamic landscape ahead.
The Importance of Trustworthy Data in AI
Gary Kotovets emphasizes the growing significance of trusted data as AI technologies continue to advance. "The fusion of AI and data enhances the intrinsic value that reliable data maintains when employed in AI initiatives," stated Kotovets. Dun & Bradstreet has consistently been at the forefront of innovation within the AI sector, ensuring that its data is of the highest quality, consistency, and reliability—key components for successful AI deployment.
An Inclusive, Engaging Hybrid Experience
This year's summit features a fully hybrid format, with a full-day livestream event commencing at 9:30 a.m. CT. Meanwhile, an exclusive in-person Leadership Summit will take place at the Hyatt Centric Chicago Magnificent Mile, starting at 9:00 a.m. CT. Participants can immerse themselves in this valuable experience both online and in person, ensuring that everyone has the opportunity to engage.
Additional information regarding registration and the full agenda is readily available for those keen on attending. This is a prime opportunity for business leaders to understand how they can leverage AI-driven data strategies to gain a competitive advantage in the evolving marketplace.
About Dun & Bradstreet
Dun & Bradstreet stands as a leading global provider of business decisioning data and analytics, helping enterprises enhance their performance and innovate solutions tailored to their needs. Its Data Cloud lays the foundation for insights that enable organizations to accelerate revenue, mitigate risks, and capitalize on opportunities. Since its establishment in 1841, Dun & Bradstreet has been trusted by companies of all sizes to harness the power of data in driving successful business strategies.
Frequently Asked Questions
What is the Data & AI Summit 2024?
The Data & AI Summit 2024 is an event hosted by Dun & Bradstreet that focuses on AI-driven data strategies for business innovation.
When and where will the summit take place?
The summit is set for October 3, both in-person in Chicago and virtually worldwide.
Who are the keynote speakers?
Notable speakers include Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet, and various industry experts.
Is there a registration fee for the summit?
No, registration for the summit is free, encouraging participation across various sectors.
What topics will be covered at the summit?
Topics include AI challenges and trends, enhancing data quality with AI, and adapting to a digital-first world.
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