Name: Teradata LinkedIn Live: Analytics 123 - Fast Track from Concept to Production
Start: 2022-11-08T20:56:00Z
End: 2022-11-08T20:56:54.000Z
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.


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

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

This video is a detailed introduction to the ClearScape Analytics Experience and how to register.

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

Are you prepared for the AI-driven future? Today, more than ever, organizations need a clear blueprint on how to move past the hype and use new and emerging AI innovation to drive results across the business.

Join us for a conversation that will answer your biggest questions on AI and give you practical insights you can use to thrive in the AI-driven decade ahead. Teradata’s Senior Director of Data Science, Dr. Chris Hillman, and Nina Schick, author, generative AI expert, and founder of Tamang Ventures, will take you through:

· What opportunities and challenges generative AI will bring in 2024
· Where and how to invest in AI for maximum business value
· Why mindset matters—and how the right one can help you navigate the Age of AI
· How you can implement, accelerate, and drive results from your AI initiatives with Teradata VantageCloud Lake and ClearScape Analytics™

Kate Russell, former BBC moderator and technology journalist, will moderate this webinar and make sure your questions are addressed by our experts.

Don’t miss this chance to help your organization become an AI-powered company of the future. Register today!

The Era of Generative AI: How Enterprises Can Prepare for 2024

Whether you’re an analytics leader, data practitioner, or AI developer, this live, hands-on session is for you. See how to create trusted AI innovation and deliver value at scale with Teradata VantageCloud and ClearScape Analytics. First, we’ll provide an overview of the most complete cloud analytics and data platform for trusted AI innovation. Then we’ll explore multiple real-world AI/ML use cases and demos, including fighting fraud, improving supply chain performance, and accelerating AI model deployment. After, there will be plenty of time to ask our experts all your questions during an extended Q&A. Register now and bring your whole team with you to get a powerful boost of actionable insights to support your AI/ML journey.

How to power AI in practice with ClearScape Analytics™

For years, organizations have aimed to enhance leadership and decision-making by leveraging data-driven capabilities to synthesize information and provide insights. The advent of generative AI has opened new possibilities for organizations to boost productivity, accelerate innovation, and surpass competitors.
 
Teradata and IDC surveyed 900 global organizations, focusing on CDOs, CIOs, and CFOs, to gain deeper insights into how organizations can excel in the age of generative AI. The findings revealed a distinct divide between AI leaders and laggards, showcasing significant impacts on market share, profitability, customer satisfaction, and employee contentment.
 
Watch Teradata and guest speakers from IDC in this discussion to explore:

- The factors distinguishing AI leaders from laggards and their profound effects on business outcomes.
- How organizational culture and structure can expedite the realization of AI value.
- The technological innovations that propel AI leaders toward success.

Featured speakers:
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

This is the final part of a four-part series of live demos on how to solve challenges in the data science lifecycle with Teradata VantageCloud. 

65% of all AI/ML projects never make it to production. The reason? Unlocking real value from AI/ML projects requires a robust, scalable cloud analytics and data platform that’s capable of supporting enterprise automation, governance, and monitoring for an exponential number of models and queries.

Join this live demo to see how Teradata VantageCloud and ClearScape Analytics™ simplify AI operations so you can accelerate AI innovation, reduce cost and friction, and fast-track time-to-value throughout your organization.

During this live demo, you’ll see how VantageCloud can help you:

Drive more value, performance, and growth from AI/ML projects
Eliminate data silos and empower teams across the organization to use AI/ML project insights
Manage and monitor machine learning and AI products as enterprise data asset
Turn the results of AI/ML projects into innovation across the enterprise
Enable automated monitoring of model and feature drift

Demo 4/4: Seamlessly Operationalize and Share AI/ML Models

Generative AI is opening a new frontier of innovation opportunities for companies. Turning those opportunities into business value today however requires the right data strategy—one that considers data quality and governance, regulatory requirements, privacy protections, and more. Learn how to master your data so you can quickly and cost-effectively move trusted AI and ML initiatives into production.

How to Accelerate AI by Mastering Your Data

In this demo, users can learn how to access the ClearScape Analytics Experience platform and perform a self-service demo utilizing the capabilities of ClearScape Analytics Experience. In the AzureML demo, users will identify the benefits of Teradata's partnership with AzureML and see how it can help improve the reliability of energy consumption forecasting.

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

In this ClearScape Analytics Experience Use Case Demo on Anomaly Detection, users will understand the most efficient way to detect anomalies in spot welding, using machine learning and time series functions.

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

In this demo, users can learn how to access the ClearScape Analytics Experience platform and perform a self-service demo utilizing the capabilities of ClearScape Analytics Experience. In the Dataiku demo, users will identify the benefits of Teradata's partnership with Dataiku and see how it can help improve the reliability of energy consumption forecasting.

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

In this ClearScape Analytics Experience Use Case Demo on Telco Customer Churn, users will identify the factors contributing to the churn, so companies can take appropriate measures to retain customers.

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

In this ClearScape Analytics Experience Use Case Demo on Broken Digital Journeys, users can learn how to better understand their customer behavior and why purchases are not being made.

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

In this ClearScape Analytics Experience Use Case Demo on Financial Customer Journeys, users can learn how to better understand their customer behavior and how they convert from acquisition to adoption.

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

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

This video provides details on using use cases in the Jupyter Hub within the ClearScape Analytics Experience.

Ep 2/9 ClearScape Analytics Experience: Intro to Jupyter

Our Chief Marketing Officer and VP of Data Science & AI discuss all things AI, Gen AI, and how Teradata uses data for AI and ML models.

Jacqueline Woods & Vedat Akgun - Data, AI & ML

Did you know that at least 65% of the predictive models built in organizations today are never implemented in production? How can businesses become more resilient and more innovative when most of the analytics and insights they generate never leave the innovation lab?

The shift from old business processes to new ones is becoming more important than ever in terms of generating positive ROI, and we want you to be prepared for the transition.

- This third edition of our “Analytics 123” LinkedIn Live Series is an opportunity for you to learn how to to fast-track your lab’s insights and analytics from concept to production.
- You can expect to learn from Teradata’s leading experts about the capabilities required to get to production, and how the implementation of business-critical insights is essential to improve production, efficiency, resiliency, and innovation.
- You will learn in numerous real use cases from finance to supply chain.
- In addition, your questions will be answered live.

Teradata LinkedIn Live: Analytics 123 - Fast Track from Concept to Production

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Teradata LinkedIn Live: Analytics 123 - Fast Track from Concept to Production

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