AI-Ready Data - The Key to Transforming Projects into Production.pptx

Moving AI projects from the laboratory to production requires careful consideration of data preparation. Join us for a fireside chat where industry experts, including Antonio Cotroneo (Director, Product Marketing, Precisely) and Sanjeev Mohan (Principal, SanjMo), will discuss the crucial role of AI-ready data in achieving success in AI projects. Gain essential insights and considerations to ensure your AI solutions are built on a solid foundation of accurate, consistent, and context-rich data. Explore practical insights and learn how data integrity drives innovation and competitive advantage. Transform your approach to AI with a focus on data readiness.

1. AI-Ready Data The Key to Transforming Projects into Production Antonio Cotroneo Director, Product Marketing Precisely Sanjeev Mohan Principal SanjMo A conversation with

2. Today’s panel Antonio Cotroneo Director, Product Marketing Precisely Sanjeev Mohan Principal SanjMo Moderator Name Title Company

3. Chances are… you’re already invested in AI of leading businesses have ongoing investments in artificial intelligence 91 %   Source: NewVantage Chatbots AI assistants AI-powered workflows AI recommendations Contact center intelligence Knowledge management

4. Chances are… your data is not ready "Only 4% said their data is AI-ready." GARTNER is a registered trademark and service mark of Gartner, Inc. And/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Bias & hallucination Poor model performance Inaccurate predictions Lack of relevance or nuance Excessive time invested in data prep Source: Gartner® Press Release, Gartner IT Symposium/ Xpo 2023 Orlando: Day 1 Highlights, October 16 2023, https://www.gartner.com/en/newsroom/press-releases/2023-10-16-gartner-it-symposium-xpo-2023-orlando-day-1-highlights 4 % Precisely View

5. Impacts of bad data on AI Lack of access to critical, relevant data can result in: Ageism & sexism Racial bias Classism, urbanism, conservatism, & anachronism Lack of data quality and governance can lead to: Incorrect results due to hallucination AI failures Exposure of internal or private data Lack of data context and nuance exposes you to: Weak insight into real-world characteristics Poor decision making with severe impacts Missing nuance and user connection Irrelevance Inaccuracy Bias

6. For trusted AI, you need data integrity Enriched data Comprehensive data integration Data quality & governance Strategize and drive your AI/ML initiatives with a business outcome driven approach 

7. eBook Trusted AI 101: Tips for Getting Your Data AI-Ready DOWNLOAD NOW: precisely.com/trusted-AI

8. Questions?

9. overall_0_132182146847412339 columns_1_132180489003760538 6_1_132180670009245741 The leader in data integrity Our unique combination of software, data and strategy services  delivers trusted data . Data that is accurate, consistent, and contextual to power more confident business decisions. Brands you trust, trust us Data leaders partner with us 99 2,500 employees customers worldwide 12,000 of the Fortune 100 Decades of deep domain expertise Industry analysts recommend us

10. Join EDM Council and our membership community of companies… Worldwide Americas, Europe, Africa, Asia, Australia 350+ Member Firms Cross-industry, including Regulators 25,000+ Professionals edmcouncil.org

11. FOR MORE INFORMATION: Antonio Cotroneo Director, Product Marketing Precisely [email protected] Thank you!