Name: 3 Big Data Challenges Your AI Project Will Face
Start: 2017-08-23T18:00:00Z
End: 2017-08-23T18:00:36.000Z
Location: BrightTALK
Rating: 4.7

Treasure Data is the Intelligent Customer Data Platform (CDP) built for enterprise scale and powered by AI. Treasure Data empowers the world’s largest and most innovative companies to deliver hyper-personalized customer experiences at scale that increase revenue, reduce costs, and build trust. Visit www.treasuredata.com to learn more.


Learn how Service Corporation International (SCI), a leader in the deathcare industry, transformed its data architecture by replacing its legacy master data management (MDM) system and scaling Treasure Data into an enterprise-wide customer data hub.

Join featured speaker Narendranath Rukmangada of SCI as he discusses:
The challenges of managing duplicate records and fragmented data paths with a legacy MDM
The strategic decision to consolidate all customer data operations into Treasure Data
The rollout process, including achieving unified customer profiles and real-time lead flow into the CRM
The powerful results, including a 100% replacement of the legacy system, a single source of truth for sales and marketing, and cutting lead capture time from hours to seconds with real-time routing
Discover how SCI leveraged their CDP to become a critical enterprise asset, driving intelligent CRM workflows and strong cross-departmental adoption.

Scaling an Enterprise Customer Data Hub: Service Corporation International’s Story

How quickly can you answer, “Which channels offer the best ROI opportunity?” or “Which product has the most opportunities for revenue growth?” If these questions require weeks of work and a team of data scientists instead of simply asking your own AI agent in natural language, this webinar is for you.

We’ll highlight powerful AI tools like the Multi-Touch Attribution Agent and Deep Analysis Agent. Learn how these agents streamline complex data analysis, deliver actionable insights, and unlock revenue growth opportunities, all in plain language.

In this webinar, you’ll:

Learn how AI agents answer critical ROI and revenue growth questions in seconds.
See how they unify data from platforms like GA4 and Adobe Analytics into executive-ready insights.
Discover how natural language interaction simplifies trend analysis and reporting.

Instant Intelligence: Make Smarter Marketing Decisions with These AI Agents

Marketing and IT teams using customer data platforms (CDP) face a critical challenge: balancing data activation with unpredictable costs. 
Traditional packaged CDPs tie costs to compute resources, disincentivizing full data use for fear of overages. Meanwhile, composable CDPs shift cost to your cloud data warehouse (CDW), which can lead to unexpected query bills.

Treasure Data solves this with a pioneering "no-compute" pricing model, decoupling costs from compute. The company’s Hybrid CDP architecture empowers enterprises to fully leverage and enhance their strategic CDW investment without forcing them to compromise on the real-time performance, AI-driven intelligence, and end-to-end functionality essential for creating world-class customer experiences. 
In this webinar, you'll:

*Learn how to end unpredictable CDP costs 
*Deep dive on Treasure Data's "no-compute" pricing model that only charges for customer profiles and associated behaviors
*Explore the benefits of predictable total cost of ownership with Hybrid CDP architecture

The Power of a Hybrid CDP: Connected Experiences with Predictable Costs

With most CDP implementations, there are no guarantees. And in fact, although the CDP category has been around for over a decade, actual usage by the teams who could benefit from a CDP remains low – even though the potential ROI of a CDP is high.

And, according to Gartner, 43% of enterprises that purchase a CDP state that functionality delivered was not fully as advertised, requiring additional effort to extend or customize during deployment. 

So how can brands avoid CDP buyer's remorse? And, especially as brands have grown so frustrated with their current CDP that they are looking for a new CDP implementation altogether, how can they ensure they don’t get it wrong a second time? 

In this webinar, we’ll explore the common pitfalls of evaluating (or re-evaluating) a CDP – and, we’ll walk through lessons from enterprises on how to get it right the first time. With unique, flexible, AI-first approaches to implementation, migration, and even POC evaluation, Treasure Data brings a wide range of tips and perspectives to companies considering new approaches to solving their customer engagement, digital change management, and revenue challenges. 

In this webinar, you’ll learn best practices and practical tips for:

Evaluating a CDP to ensure it will drive the outcomes you need
Leveraging AI to speed up implementation
Switching from a legacy CDP to one that can support your needs
Aligning all stakeholders around the right data strategy
Ensuring cost effectiveness and ROI at every step

CDP ROI is Easier Than You Think: Agentic AI Strategies to Drive Business Growth

Join Treasure Data Co-Founder and CEO, Kazuki Ohta, Chief Product Officer, Rafa Flores, and Ronak Shah, Principal Partner Solution Architect at AWS, as they unveil the bold new vision for the enterprise CDP market—and what’s next for the Treasure Data platform. This isn’t just a product update. It’s a strategic shift designed to empower CMOs, CXOs, CDOs, and CTOs to embrace AI grounded in their trusted data – without compromising agility and trust. 

In this exclusive live session, you'll get an inside look at:
* Our new product vision for the next era of intelligent, AI-driven customer data.
* The Diamond Record™ — the new “diamond standard” for customer data quality, trust, and activation.
* AI Agent Foundry and built-in agents that transform your team into a superhuman growth engine.
* Outcome-focused packaging that aligns data capabilities directly with business impact.
* Expanded access to more features in every CDP implementation

"We’re thrilled to co-innovate with Treasure Data as they leverage Amazon Bedrock to pioneer innovative AI agent solutions closer to trusted data in the Intelligent CDP,” said Ronak Shah, Principal Partner Solution Architect at AWS.

If you’re ready to turn customer data into competitive advantage through the power of AI, this is the moment to tune in.

Watch a preview of what to expect: https://youtube.com/shorts/FJ0Gmta1FrA

Introducing the Intelligent CDP: A New Era of Customer Data Starts Now

Join Art Sebastian, Founder & CEO of NexChapter and former CMO of Casey’s, and Vishal Patel, VP of Strategy at Treasure Data for an exclusive conversation on how convenience store operators and retailers of all sizes can unlock powerful new revenue streams through Retail Media Networks (RMNs).

With first-party data becoming the new currency of digital advertising, retailers are in prime position to drive high-margin growth—if they can activate and monetize the data they already own.

Retail Media Networks: Driving Revenue with AI, Data, and CDPs

Re-implementing a CDP is no easy task, but CDP “rip and replacements” are becoming more and more common. 

This is because most CDPs eventually hit a limit of the value they can deliver – or they never deliver the value that was promised in the first place. And once brands get a taste for the incremental revenue and cost efficiencies of using a CDP, they want to upgrade to a CDP that can scale across their organization and solve for a wider range of use cases. 

But CDP migration is not something to embark on blindly. In this webinar, you’ll hear from a panel of experts share the good, bad, and ugly of switching CDPs, including lessons learned and important tips and considerations. We’ll discuss how to:

Know it’s time to upgrade your CDP
Prepare your data for a CDP migration
Avoid recreating the same bad implementation on a new platform
Set your company up for CDP success the second time around

How to Successfully Migrate to a New CDP: Lessons from the Trenches

Discover why your customer data should power AI agents to enhance your business’ competitive advantage. Join this live webinar where Kaz Ohta, CEO of Treasure Data, will share unique insights on AI's transformative impact and provide an actionable plan to integrate AI with your customer data.

Key takeaways:
Follow the blueprint of the world’s leading brands who combine genAI and customer data to get ahead of the competition. 
Leverage AI to automate workflows, solve creative challenges, or streamline tasks—if you can envision it, an agent can make it happen. 

Don't miss this opportunity to explore AI's future with a pioneer in data technology. This session includes a live Q&A with Kaz, building on insights shared at the CDP World Summit.

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

Delve into an engaging discussion on how Condé Nast is leveraging a Customer Data Platform (CDP) to transform customer engagement and enhance their marketing strategies.

By leveraging the powerful capabilities of this platform, Condé Nast have:
- Gained valuable insights
- Optimised campaigns
- Driven meaningful engagement with customers

Discover:
How Condé Nast developed compelling customer journey orchestrations
The possibilities of leveraging a CDP to revolutionise your approach and elevate the overall customer experience.

How Condé Nast Enhanced their Customer Experience with Treasure Data Customer Data Platform

Discover how Customer Data Platforms (CDPs) are transforming the retail landscape by unifying customer data, enabling personalized experiences, and enhancing engagement across digital and physical channels. 

This session will cover major retail trends, practical CDP applications, and the power of artificial intelligence in optimizing customer journeys. Learn how CDPs enable retailers to deliver real-time, data-driven personalization that boosts loyalty and drives revenue. 

Join us to see how a unified data strategy can give your brand a competitive edge in today’s market.

Unlocking Retail's Future: CDPs and the Power of Data-Driven Strategies

As the conversation around the potential of Generative AI permeates every level of organisational decision-making, its transformative impact on customer experiences is becoming increasingly evident in boardroom strategies as well as day-to-day marketing, sales, and support activities.

Join us as we delve into the success story of SMBC, the third largest Japanese bank and a respected user of Treasure Data's Customer Data Platform (CDP). Explore how SMBC has harnessed data to revolutionise its customer experiences and gain firsthand insights into their journey and transformation.

Utilising AI for Enhanced Customer Conversion

Are You Ready to Move Beyond the Hype and Harness the True Power of AI?

In today’s competitive landscape, businesses are bombarded with promises of AI that will revolutionize their business. But how many of these promises actually deliver? Join our webinar to discover how to cut through the noise and implement real-world strategies that yield tangible results.

What You Will Learn:
1. Why a trusted data foundation is the cornerstone of AI success
2. Privacy, ethics, and trust considerations for AI
3. The difference in types of AI that marketing and product teams can use, and what use cases they support
4. How to find the lowest hanging fruit of efficiency and profitability gains with AI
5. Practical tips and proven techniques to implement immediately and start seeing results

Who Should Attend:
- Marketing and product leaders looking to understand the strategic value of AI and data
- Marketing professionals interested in leveraging AI to create more impactful campaigns and drive more profitability
- IT professionals focused on integrating using AI to drive better efficiency and reduce costs

From Hype to Reality: Drive Results with the Right Customer Data & AI Strategy

Rejoignez-nous pour explorer le potentiel des CDP en temps réel pour les grandes entreprises.
Découvrez comment exploiter le machine learning et la prise de décision basée sur l’IA pour révolutionner les expériences client, stimuler la croissance des revenus et optimiser les stratégies marketing.
Explorez des différents cas d’usage en fonction de votre maturité data et apprenez comment les CDP en temps réel permettent aux entreprises d’améliorer la personnalisation, de renforcer le ciblage et la segmentation et de réaliser une orchestration multi-canal transparente.
Ne manquez pas ce webinar si vous souhaitez exploiter la puissance des CDP en temps réel dès maintenant et garder une longueur d’avance sur la concurrence.

Maximiser la valeur client grâce à l'impact d'une CDP en temps réel

As we round out the year we’re looking back & forward with 10 trends, stats, and topics that will shape the coming year. This quick session will give you a list of focus items for 2024 to help you stay ahead of your competition and drive an even better customer experience.

CDP Speed Round - 10 topics you need to pay attention to in 30 minutes

Connected Customer Experience with CDPs:  Accelerating customer growth and profitability for Banking, Insurance, and Investment Management

To thrive in today’s fast-paced marketplace, financial services companies must leverage complex data to enhance, personalize and simplify customer experience. Many Global 2000 companies rely on Treasure Data Enterprise Customer Data Platform to create connected omnichannel customer journeys across the entire customer lifecycle  – enabling them to build Customer 360 views, segment customer data, obtain actionable insights, improve marketing efficiencies, and deliver personalized experiences.

The rewards for “getting it right” are substantial – from improving customer loyalty, customer lifetime value, and shareholder value, to decreasing cost-to-serve and enhancing capabilities to compete with non-traditional fintechs (such as Apple and Amazon) who are disrupting the market.

Attend this online roundtable to hear from industry experts how you can:
- Recognize the urgency of the challenges and opportunities for retail banks, insurance providers and investment managers 
- Expand engagement by identifying opportunities to use customer data around your customer’s journeys 
- Enhance customer experiences by putting in place the necessary and foundational customer data platform that leverages all the promises of AI.

Join Thomas Kurian, Sr. Director of Strategy at Treasure Data, Athena Sharma, Sr. Director, Financial Services Lead at Artefact UK, Akhilesh Kale, Sr. Director, Financial Services Lead at Artefact US and CDP Institute founder David Raab as they discuss best practices and global trends to bring the customer journey and experience to the next level in the FSI industry.

Connected CX with CDPs:  Accelerating customer growth & profitability for Banks

Connected Customer Experience with CDPs:  Accelerating customer growth and profitability for Banking, Insurance, and Investment Management

To thrive in today’s fast-paced marketplace, financial services companies must leverage complex data to enhance, personalize and simplify customer experience. Many Global 2000 companies rely on Treasure Data Enterprise Customer Data Platform to create connected omnichannel customer journeys across the entire customer lifecycle  – enabling them to build Customer 360 views, segment customer data, obtain actionable insights, improve marketing efficiencies, and deliver personalized experiences.

The rewards for “getting it right” are substantial – from improving customer loyalty, customer lifetime value, and shareholder value, to decreasing cost-to-serve and enhancing capabilities to compete with non-traditional fintechs (such as Apple and Amazon) who are disrupting the market.

Attend this online roundtable to hear from industry experts how you can:
- Recognize the urgency of the challenges and opportunities for retail banks, insurance providers and investment managers 
- Expand engagement by identifying opportunities to use customer data around your customer’s journeys 
- Enhance customer experiences by putting in place the necessary and foundational customer data platform that leverages all the promises of AI.

Join Thomas Kurian, Sr. Director of Strategy at Treasure Data, Athena Sharma, Sr. Director, Financial Services Lead at Artefact UK, Akhilesh Kale, Sr. Director, Financial Services Lead at Artefact US and CDP Institute founder David Raab as they discuss best practices and global trends to bring the customer journey and experience to the next level in the Financial Service Industry.

Join us for this fun webinar on the truth behind AI in CDPs. In this session, we will explore how to build an AI program that not only enhances your current marketing efforts but also ensures job security. This non-technical look at AI (because let’s be honest there’s plenty of technical breakdowns) will discuss the key elements of successful AI implementations in CDPs and how to avoid common shiny objects that will lead you nowhere. AI isn’t coming for your job… It's coming to make your job easier.

AI in CDP: Building a program that won’t get you fired or replaced

Join us for our next Treasure Data webinar on navigating the complex world of CDPs. Zack Wenthe will discuss the key components you need for success, as well as the pitfalls to avoid. In navigating the CDP landscape the largest cloud providers shine bright and look the most tempting, but in many cases they are a trap for most marketing teams. Learn the key elements of a CDP initiative and the things most buyers forget to consider. Don't miss out on this essential guide to winning with a CDP.

The CDP Landscape: What you really need to know

If you are working on an AI project, drop it. Chances are good that you don’t have AI problems (yet) but instead have data challenges. In this webinar, we will share what we learned from running a large data platform ingesting 2 million data points/sec and running 7 million queries for hundreds of enterprises. We will focus on the problems that you can tackle on Monday so that you are best positioned for next year and beyond.

About the presenter: 

Kiyoto is VP of Marketing at Treasure Data. Previously, he was a Software Engineer at TrialPay and Trader at DRW Trading. He is a self-proclaimed hacker at heart: “creativity and do-ocracy over passivity and bureaucracy any day.”

3 Big Data Challenges Your AI Project Will Face

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3 Big Data Challenges Your AI Project Will Face

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Treasure Data