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The Present & Future of AI & Customer Data

Missed our webinar, The Present & Future of AI & Customer Data: Insights from Kaz Ohta, CEO of Treasure Data? Here are the key takeaways. The challenge: Disjointed customer experiences Every business interacts with customers across multiple channels—online, in-store, through customer support, and more. However, data from these interactions is often siloed across different departments, ... The Present & Future of AI & Customer Data

Forrester’s Joe Stanhope (Featured Speaker) on The Role of CDPs and AI Now and in the Future

Featured speaker Joe Stanhope of Forrester explains how to improve customer experiences using data platforms and AI. Learn simple ways to connect with customers across multiple devices and channels.

The Present & Future of AI & Customer Data: Insights from Kaz Ohta, CEO of Treasure Data

Gain an actionable plan to integrate AI with your customer data, automate workflows, and solve creative challenges. Learn from Treasure Data's CEO, Kaz Ohta, who brings unique insights from managing billions of customer profiles and partnering with Global 2000 companies.

The GenAI Agents and Real-time Triggers You Have to Try in Treasure Data CDP

There’s a lot of complexity involved in bringing new campaigns to life. Even with a best-in-class CDP like Treasure Data, the planning alone – who to target, what to say, when to send, where to engage – can take weeks to months.  Think about the back-and-forth that happens between your team and partners to bring ... The GenAI Agents and Real-time Triggers You Have to Try in Treasure Data CDP

ML-driven Multi-touch Attribution: Delivering next-level marketing insights

Find out which touchpoints worked to close a sale or build enduring customer loyalty?

IDC Spotlight | Winning with CX: CDPs + AI = Customer Growth and Personalization

In this Spotlight paper, IDC shares how customer data platforms (CDPs) with predictive and generative AI capabilities can help improve business outcomes for brands.

Utilizing Generative AI for Data Solutions

A best-of-breed approach – selecting the most suitable software solutions for each specific need – empowers companies to harness the true power of generative AI without compromising data autonomy.

Using AI/ML to Improve Data Quality

Discover how AI/ML can help with data quality management, helping you uncover anomalies, automate data cleaning processes, and uncover valuable insights.

Top Challenges of AI Deployment–And How to Overcome Them

Do you have a mature AI strategy in place? Learn about the main challenges of AI deployment, how to overcome them, and why investing in the right Customer Data Platform is an important step.