Name: Ep 3/9 ClearScape Analytics Experience: Financial Fraud Detection - Use Case
Start: 2023-11-12T13:41:00Z
End: 2023-11-12T13:41:02.000Z
Location: BrightTALK
Rating: 0

Organizations can struggle to maximize value from Machine Learning (ML), and Artificial Intelligence (AI), but often experience inefficient data preparation and a lack of flexibility. Only 54% of AI/ML projects make it to production. Despite these numbers, AI/ML has the potential to deliver massive value when deployed correctly across your organization.

Find out how you can unlock the power of AI/ML to drive growth, improve performance, and build better customer experiences with Teradata VantageCloud.

This channel features regular live webinars led by data experts that can help you address these challenges, so you can deliver unlimited data-driven intelligence, from start to scale.


As a data professional, you want to build solutions that help your company and customers. 

There is significant value in unstructured data stored in formats such as text, audio, and more, which you can leverage to achieve this goal. 

Advanced Large Language Models (LLMs), like Google’s Gemini, can simplify the process of introducing structure into unstructured data, enabling individuals and organizations to derive insights that better serve their customers. 

Join Janeth Graziani, Developer Advocate, Teradata and Merlin Yamssi, Lead Solutions Consultant AI/ML CoE, Google Cloud, as they explore, demo, and discuss how data analysts, engineers, and scientists, can leverage Teradata VantageCloud and Google Cloud to accelerate your AI innovation from development to production.  

Janeth and Merlin are excited to share how you can: 

- Get faster results from your AI/ML initiatives by quickly building and training ML models with Vertex AI and the powerful in-database analytics functions of ClearScape Analytics 
- Easily build and deploy powerful gen AI solutions with Teradata VantageCloud Lake, Vertex AI, and Gemini 
- Transform customer complaint management through advanced generative AI for precise and automated classification. Janeth will give a complaints classification demo which leverages Teradata Vantage and Google Gemini. 
 
Kate Russell, former BBC moderator and technology journalist, will moderate this webinar and make sure your questions are addressed by our experts.

Accelerate AI Value with Teradata and Google Cloud

Are you ready to revolutionize the energy sector? Join us for an exclusive virtual webinar: “Energizing Tomorrow: How to unleash Data, AI & Analytics for a Green Future”. In today's rapidly evolving energy landscape, staying ahead of the curve is not just an advantage—it's a necessity. This webinar is your gateway to harnessing the full potential of data analytics and AI in supporting the critical energy transition. 

Can't make it live? Sign up anyway, and we'll send you the recorded session!  

This webinar will be held in English and French.  

Why you can't miss this: 

- Energy Sector Challenges: A Deep Dive – Discover how to tackle the most pressing challenges in the energy sector  
- The Power Trio: Data, Analytics, and AI in Action – Learn to leverage data, analytics, and AI for transformative solutions 
- Envisioning "A Connected Utility" – Explore the concept of "A Connected Utility" – the north star of energy innovation 
- Live Demo: Experience a live demo showcasing real-time data preparation and visualization, Python coding at scale, time series analysis on massive energy datasets and much more

Energizing Tomorrow: How to Unleash Data, AI & Analytics for a Sustainable Future

請加入 Teradata，親眼見證企業如何克服 AI 障礙，並成功利用 AI 提升利潤。
在當今數據驅動的世界中，AI 和機器學習的創新正在全球範圍內改變各行各業。Teradata 站在這一變革的最前沿。利用 AI 和機器學習的力量對於尋求推動業務成功的組織至關重要。請加入我們的線上研討會，我們將深入探討如何從 AI 試驗過渡到利用 Teradata 的 ClearScape Analytics 和ModelOps 實現有影響力的 AI 驅動成果。我們的專家講者，Teradata 的資深資料科學家及解決方案顧問方博士 (Dr. Angus Fang)，將引導您設計和實施一個強大的模型生命週期，這是實現 AI 模型大規模運營的關鍵元素。
此外，金融監督管理委員會於六月發布了《金融業人工智慧 (AI) 應用指導原則》，為金融機構在 AI 採用、使用和管理方面提供指導。因此，本次線上研討會也將涵蓋監管和戰略見解，對台灣金融業的 AI 應用提出建議，並探討 AI 治理中模型管理的重要實踐。

This webinar will be held in Chinese. In this session, participants learned about the practical application of Generative AI with a special focus on regulatory data risk management, trends in the marketplace and Accountable ModelOps.

從實驗到實現：透過 ClearScape Analytics 助力企業達成 AI 營運與治理的雙贏 (Maximizing AI Impact in Financial Services: From Pilot to Payoff)

Trusted AI is built on reliable data. But a recent survey found that four out of 10 executives don’t believe their data is ready to generate accurate AI outcomes. As a result, many organizations fail to maximize AI business value.

Teradata has partnered with Google Cloud to expand the reach of Trusted AI solutions. With Teradata VantageCloud Lake on Google Cloud, enterprises have access to a seamlessly connected ecosystem of modern AI technologies, including Teradata's ClearScape Analytics™, Google Vertex AI, and Google Gemini.

Join executives from Teradata and Google Cloud for an exclusive live discussion to learn more about: What C-suite executives are saying about trust and AI. How leading enterprises are driving better ROI with Teradata and Google Cloud, Teradata’s new Customer Complaint Analyzer, a generative AI-powered solution featuring Google Gemini.

Accelerate ROI With Trusted AI From Teradata and Google Cloud

Today’s banking customers have high expectations when it comes to their brand interactions. From digital natives who barely remember paper checks to seniors who depend on their voice-activated digital assistants, the modern customer expects a seamless, intuitive, and deeply relevant experience. When 32% of customers will walk away from a brand they love after merely one bad experience, it’s no wonder leading banks are deploying the latest data analytics and AI solutions to track, prevent, and resolve customer complaints.
 
In this informative webinar, experts from Teradata and AWS will show how our joint capabilities are enabling financial services organizations to:
 
• Transform their data and enable successful customer journey analytics programs
• Accelerate and scale customer experience insights with the integration between Teradata and Amazon SageMaker
• Use generative AI to analyze customer complaints and achieve more successful resolutions using Teradata VantageCloud with Amazon Bedrock
 
Join us for customer case studies and more to learn how to put complementary and integrated AI/ML technologies from Teradata and AWS to work today.

Transforming Customer Experiences in Financial Services with Generative AI

Predictive insights are the lifeblood of today’s business. Imagine that your product team is coming up with new features, your operations team is investigating supply chain issues, and your marketing team is developing 360-degree profiles of customers. What do these scenarios have in common? For a modern business operating in today’s dynamic environment, all three are powered by predictive analytics.

Increasingly, artificial intelligence and machine learning technology (AI/ML) is enabling high-value predictions that lay the groundwork for better decision-making. Advanced analytics, including generative AI, hold the power to sharpen your company’s competitive edge, drive operational efficiencies, and maximize growth.  

With generative AI, data scientists can more easily make sense of ever-growing datasets. They can automate tedious tasks like filtering and parsing huge volumes of data to quickly extract meaningful information.  

Join us to learn how leaders are overcoming the common pitfalls around AI workflows, how Teradata and Amazon Web Services (AWS) are penetrating barriers to predictive analytics, and how data scientists can scale analytics leveraging an integrated AI toolset.

Unleash AI Innovation Across the Enterprise with Teradata and AWS

From fraud detection to automated payments, AI is having a moment in financial services. Customers are demanding faster, more seamless experiences. At the same time, they’re putting even greater pressure on financial institutions to protect customer data and transactions.

In this recorded second LinkedIn Live event in our series, “Talking AI with Teradata and Accenture,” industry experts from Accenture, Microsoft, and Teradata will discuss the unique opportunities and challenges of implementing AI within the highly regulated industry of financial services.

Join our speakers for tips on:
- Where to invest your AI resources for maximum results
- Managing risk, compliance, and trust in a customer-driven business
- Four key ingredients to successful AI implementation:
- Making the leap from generative AI pilot to payoff

In addition, they’ll share real-world use cases showing how innovative solutions from Microsoft and Teradata are enabling top financial institutions to realize true value from Trusted AI at scale and gain a competitive advantage.

Host: Vedat Akgun, PhD, Vice President, Data Science & AI, Teradata

Guest speakers:
- Tony Cyriac, Data & AI Lead for North America Banking and Capital Markets, Accenture
- Amie Fleming, Director of Azure Data & AI, Microsoft

Winning the AI Race: Practical Advice for Financial Services Leaders

The road to capturing AI value can be filled with challenges, such as costly data movement, bottlenecks in productivity, and a lack of actionable insights. Without easy-to-use tools that enable enterprise scale, organizations may find themselves unable to operationalize models to find profitable growth. 

Fortunately, driving ROI from AI is achievable. View this webinar to hear from Teradata and guest speakers from Forrester on organizations’ real-world AI success stories and the strategies behind them. The webinar will include results from a commissioned Forrester Consulting Total Economic Impact™ study of one current Teradata customer, whose AI breakthroughs included: 

- Scaling AI to drive ROI, contributing to $125 million in profits and a three-year ROI of 244% 
- Boosting productivity and time savings, resulting in 3x more models released
- Improving customer experiences, increasing email open rates from 2% to 46%, and producing $80 million in profit from referral programs

3 Lessons for Driving Business Results With AI

As enterprises pivot toward open-source technology, open table formats (OTFs) represent the next major disruption in data management—offering transformational agility and flexibility for enterprise data.
However, while many data platforms claim to offer the openness afforded by OTFs, they often lock users into preferred implementations that stifle the creativity and innovation early adopters want and future users will expect.

Join executives from Teradata, Accenture, and Ventana Research (now ISG) for a roundtable discussion to discover how enterprises can leverage a truly open and connected approach to OTFs that delivers unparalleled interoperability, cost efficiency, and choice—but with robust guardrails for trust, transparency, and explainability.
Discover how your organization can achieve a future-ready data strategy that accelerates innovation, improves productivity, and delivers Trusted AI at scale.

Building a Future-Ready Data Strategy With a Truly Open Ecosystem

Today's leading manufacturing and CPG organizations are rushing to unlock the power of scalable AI/ML and generative AI to drive profitability. The ability to predict anomalies in supply chain performance at the atomic level and take mitigating actions in real time can be game-changing. By strategically leveraging historical behavior data and current economic stats, supply chain leaders can identify and predict the location of inbound materials, foresee disruptions, and minimize risks. 

Join this webinar to learn how to leverage AI/ML solutions from Teradata and AWS to deliver transformative insights across your supply chain. Industry experts from Teradata and AWS will discuss the ways that leading supply chain organizations are leveraging cloud data and analytics platforms and Amazon SageMaker integration to empower AI innovation and gain a competitive edge.

Modernizing Your End-to-End Supply Chain with AI/ML

Today’s healthcare organizations are looking for ways to control costs and increase efficiency while still delivering high-quality care and related services. The most innovative among them are getting ahead by using AI/ML built on trusted data to optimize the patient and member experience, reduce the cost of compliance, and accelerate profitability insights as they roll out new business models.

Join this webinar to learn how to leverage AI/ML solutions from Teradata and AWS to achieve a range of business outcomes—from harmonizing patient data and optimizing costs to accelerating disease onset prediction and next-best care management solutions.

Experts from Teradata and AWS will share how leading healthcare companies are leveraging modern cloud architecture to implement scalable AI/ML within a responsible AI framework. We'll demo Teradata VantageCloud Lake on AWS and show how ClearScape Analytics™ can be used with Amazon SageMaker

Transforming Healthcare With Trusted AI

Artificial intelligence (AI) is expected to add $6-8 trillion to global GDP in the coming years, according to research announced at the 2023 World Economic Forum in Davos. With AI reaching a crucial inflection point of widespread societal impact, leaders must move swiftly to capitalize on this innovative technology and gain a competitive advantage. In the first event of our series, “Talking AI with Teradata and Accenture,” we bring an executive perspective to the AI challenges leaders are facing now—from building an AI strategy that’s aligned with your business goals to leveraging the technologies that help you accelerate AI value and outpace your peers. 

In this recorded LinkedIn Live event, “Executive Outlook: Staying Competitive in the Era of AI,” Lan Guan, Chief AI Officer at Accenture, and Vedat Akgun, PhD, Vice President, Data Science & AI at Teradata, address key topics, including:

- AI’s potential to drive business results and why it’s greater now than ever before
- Modernizing your digital core to take full advantage of AI and machine learning capabilities
- Talent bottlenecks and how AI will dramatically alter your workforce in the coming years
- Barriers organizations face as they scale AI—and how to overcome them with joint solutions from Teradata and Accenture
Powerful new AI-driven use cases that Teradata and Accenture are exploring with their customers

Executive Outlook: Staying Competitive in the Era of AI

Welcome to the Teradata AI Unlimited deployment to query demonstration. 

Teradata AI Unlimited enables you to unleash the power of on-demand AI/ML in the cloud. AI Unlimited is designed to empower data engineers, data scientists and developers to explore and experiment at scale without affecting the production environment. AI Unlimited offers a self-service experience that lets users discover new innovations and use cases without worrying about resource availability or cost overruns. In this video, we will demonstrate the simple steps for a user to go from deployment of an AI Unlimited instance to the first query in only a few minutes before deploying a system

Demo: AI Unlimited - Deploy to Query

Generative AI is the new innovation catalyst, offering trillions in total economic potential. But in the fast-changing AI landscape, how do organizations know the right approach to drive value from AI innovation?

Watch this video for an exclusive conversation with AI experts Dr. Ayesha Khanna, co-founder and CEO of Addo, and Dr. Vedat Akgun, vice president of data science and AI at Teradata.

You’ll hear how leaders are winning in the era of generative AI—plus, see key findings from the Forrester Consulting Total Economic Impact™ study of ClearScape Analytics™. This 2024 commissioned study shows how one of our customers is using our AI engine to maximize profits, productivity, and customer experiences.

In this expert-led discussion, you’ll learn:

- Key considerations to shape your ROI-driven AI strategy
- Technologies that may help you drive value and reduce costs 
- The latest insights on AI risks and how you can manage them
- Smart investments for garnering rapid AI results
- How ClearScape Analytics contributed to $125 million in profits over three years for one of our customers

How Leaders Harness AI To Drive Rapid Results

8:30 a.m. PT/ 11:30 a.m. ET/ 4:30 P.M. GMT

For companies looking to adopt AI/ML at enterprise scale, streamlined access to data is critical. And yet, many companies are contending with a tangled web of data silos and technologies,  leading to data sprawl, mounting technical debt, and bloated storage costs— all of which and hamper innovation. And new advances in AI/ML will only add to the complexity. 

 To address this problem, the most successful companies are adopting a lake-centric approach. A cloud-based lakehouse pairs the robust data management and processing ability of a data warehouse with the flexibility, scalability, and cost-effectiveness of a data lake, enabling you to accelerate innovation and gain a critical competitive edge. 

In this live webinar moderated by veteran technology journalist Kate Russell, GigaOm Analyst Andrew Brust will be joined by Teradata’s Vice President of Technology, Martin Willcox, and David Jerrim, Director of Ecosystem Architecture, to share how to  unlock the full power of your data with a lake-centric modernization approach. Tune in to learn how to: 

- Consolidate all your data, compute, and AI/ML technologies into a single cloud environment 
- Manage tech debt and harmonize data across the entire enterprise 
- Maximize workload efficiency 
- Achieve transparent financial governance with trusted AI capabilities

Harness a Lake-Centric Modernization Strategy for Al Adoption

Generative AI has the potential to revolutionize businesses by adding over $4 trillion to the global economy. This figure could even double if the impact of embedding generative AI into software is considered. To maximize this opportunity, businesses need to move from proofs of concept (POCs) to production quickly and cost-effectively. This requires integrating generative AI into decision-making processes and establishing a trusted AI ecosystem. By doing so, businesses can gain accurate and actionable insights that deliver value both now and in the future.

Join Vedat Akgun, Ph.D., VP of Data Science & AI at Teradata and Wayne Eckerson, President, Eckerson Group as they discuss how organizations can deliver trusted AI innovation at scale.

Three Steps to Creating Enterprise Value with Generative AI

For decades, organizations have sought to improve leadership and decision-making through data-driven capabilities that synthesized information and delivered insights. Now, generative AI has unlocked new opportunities for organizations to increase productivity, innovate faster, and outpace the competition.

To better understand how organizations can lead in the era of generative AI, Teradata and IDC surveyed 900 organizations across the globe, focusing on CDOs, CIOs, and CFOs. We found that there are leaders and laggards when it came to AI-driven decision-making—and that had a massive impact on market share, profitability, customer satisfaction, and employee satisfaction.
 
In this special event, join Teradata and guest speakers from IDC to discover:
• What separates AI leaders and laggards and how it impacts business outcomes
• How organizational culture and structure can accelerate AI value
• The technology that unleashes innovation for AI leaders

Speakers include:
• Dan Vesset – Group Vice President, Analytics and Information Management at IDC
• Chandana Gopal – Research Director, Future of Intelligence at IDC
• Chris Twogood – Senior Vice President of Product Marketing at Teradata
• Vedat Akgun, Ph.D. – Vice President of Data Science & AI at Teradata

Leadership and Decision-Making in the Era of Generative AI

Ep 1/9 ClearScape Analytics Experience: Introduction and How to Register

Ep 9/9 ClearScape Analytics Experience: Azure ML - Use Case

Ep 7/9 ClearScape Analytics Experience: Anomaly Detection - Use Case

Ep 8/9 ClearScape Analytics Experience: Dataiku - Use Case

Ep 6/9 ClearScape Analytics Experience: Telco Customer Churn - Use Case

Ep 5/9 ClearScape Analytics Experience: Broken Digital Journey - Use Case

Ep 4/9 ClearScape Analytics Experience: Financial Customer Journey - Use Case

Ep 2/9 ClearScape Analytics Experience: Intro to Jupyter

Demos: Teradata ClearScape Analytics Experience

In this ClearScape Analytics Experience Use Case Demo on Financial Fraud Detection, users can learn how to understand their customer behaviour better using machine learning and reduce fraudulent claims.

Ep 3/9 ClearScape Analytics Experience: Financial Fraud Detection - Use Case

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Ep 3/9 ClearScape Analytics Experience: Financial Fraud Detection - Use Case

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