Technology companies aren’t as far on their AI journeys as they hoped. Join us to learn about our findings from the Data + AI Trends in Tech report around usage, barriers and use cases for AI.
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The State of Data and AI in Tech: Trends in the Industry
, Director of Growth, Meta
, Senior Product Marketing Manager, Salesforce
Role: IT
Industry: Technology
Topic: Artificial Intelligence
Session Level: Informational/Overview/Introductory
Session Tracks: Technology
- Wednesday, May 2211:30 AM - 11:50 AM CDT(4:30 PM - 4:50 PM GMT)Theater 6 (Campground, Level 3)
Session Summary by Einstein: The recent session at a Salesforce conference highlighted the imperative role of AI in driving growth across the tech sector, with a predicted $4.4 trillion boost to the global economy in the coming years. Salesforce's data and AI trends report revealed that while many companies believe they are at par or ahead in AI adoption, challenges such as data integration, privacy concerns, and understanding AI capabilities hinder progress. The session emphasized the necessity of a distinct AI strategy, focusing on product innovation, generating revenue, and enhancing customer experiences. Notably, Data Cloud and AI innovations like Einstein Copilot and Sales Cloud are positioned as vital tools for businesses to harness the full potential of their data and AI investments.
Key Takeaways by Einstein:
• Salesforce's report indicates that 90% of companies feel they are on track or leading in AI adoption, yet nearly 75% have only partially integrated their data.
• Key barriers for AI adoption include data privacy, lack of understanding of AI capabilities, and concerns about model accuracy.
• Salesforce solutions like Data Cloud and Einstein Copilot are designed to unify and leverage data, enhancing productivity and customer experiences across various business functions.
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