The AI Conversation | 100+ GenAI use cases, and more
New ways to unlock productivity with GenAI are in bloom everywhere you look. Read on to see a list of over 100 use cases you can deploy today. Also:
A studs-up rebuild of our authoritative AI Glossary
The security impact of AI from a CSO perspective
Stanford study examines open AI models
Get your use cases here
The horse has left the barn at a full gallop and the list of impactful things you can do with generative AI in the enterprise is exploding. We’re getting you started with a list of 140 top use cases across a sprawling set of domains and systems:
Application management systems (ex: checking app status)
Collaboration platforms (ex: onboarding messages)
CRMs (ex: look up prospect info)
Financial management systems (ex: expense reports)
IDAM systems (ex: password resets)
IT operations (ex: system outage alerts)
HRIS systems (ex: benefits enrollment)
Procurement systems (ex: PO approvals)
Project management (ex: assign tasks)
… and more
Ready to dive deeper? Explore the Use Case Guides on our Creator Studio documentation site.
Your go-to Glossary just got better
86 glossary entries, now each with their own page. 55 AI Explained videos to keep your learning light and fun. If you’ve wondered what Movesters have bookmarked in their browsers, you found it: Our AI Terms Glossary.
Experience Moveworks.global on April 23
A complete agenda with keynotes and speakers, labs and breakouts, and FAQ is now available on our Moveworks.global page. Join us virtually or in person at the Signia by Hilton in San Jose for our marquee community event spotlighting innovators in AI for enterprise support.
In Headlines
CSO: AI making big impact on security pros
Cybersecurity professionals expressed a wide range of opinions on the pros and cons of generative AI in a new survey from a prominent certification group.
Axios: Stanford study outlines risks and benefits of open AI models
The availability of open AI models affects everything from global geopolitics to domestic AI competition. Researchers at Stanford have published a paper aimed at creating a more precise understanding of open source AI risks and benefits.
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