Demos: How to Solve Challenges in the Data Science Lifecycle with Teradata VantageCloud.

This is the first episode in a four-episode series of recorded demos on how to solve challenges in the data science lifecycle with Teradata VantageCloud

Find out in this video how easy it is to use Teradata VantageCloud Lake, our next-generation, native-cloud solution!
You'll learn how this powerful, modern cloud analytics and data platform can help you innovate faster, scale smarter, and govern better by seamlessly creating a self-service environment that delivers harmonized data and trusted AI/ML for all.

During this cloud demo, you'll see how Teradata VantageCloud Lake can help you:
• Promote business autonomy and agility
• Enable the entire organization to activate AI innovation that delivers more value
• Simplify your data estate while modernizing in the cloud
• Control costs and optimize workflows by consolidating your data
• Fuel data-driven decision-making, identify new opportunities, and mitigate risks
• Optimize efficiency, accuracy, and security by adopting modern data management

This is the second episode in a four-episode series of recorded demos on how to solve challenges in the data science lifecycle with Teradata VantageCloud.

Almost 80% of all AI and ML project time is spent finding and preparing data. Watch this demo to see how Teradata VantageCloud and ClearScape Analytics™ save time and boost productivity with best-in-class analytics, data prep, and feature engineering capabilities for quickly harmonizing and preparing all your data for advanced predictive modelling—all at scale.

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

• Simplify your AI/ML operations
• Access and activate disparate data across your data landscape
• Give users across the organization easy access to data and analytic tools
• Reduce service sprawl and costs with a single, governed, and scalable environment
• Rapidly develop and refine model features for data at any scale with preferred tools
• Fast-track AI/ML experiment deployment, without impacting critical or operational workloads

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

The machine learning and AI ecosystem is evolving at an explosive rate. Join this live demo to see how Teradata VantageCloud and ClearScape Analytics™ offer data practitioners the flexibility to leverage the widest range of modeling tools and technologies, enabling enterprises to drive more breakthrough growth, performance, and value from AI/ML projects.

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

Seamlessly amplify existing investments in ML and AI tools
Apply strong governance, automation, and control to machine learning products
Ensure future-proof AI capabilities with Teradata’s open and connected ecosystem
Share data preparation and feature engineering products with other teams and third-party tools
Use open-source, partner, and native functions to train predictive models that can be used inside or outside of VantageCloud
Score and evaluate models at scale, then prepare for easy operationalization

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