Prepare for 2025 with enterprise AI agents transforming the future of work
Learn how to manage and scale AI assistants and agents in a unified way to protect and maximize your investments in AI technology.
Only 33% of organizations using generative AI have integrated it into functional processes, according to the IBM Institute for Business Value (IBV). To unlock the full productivity potential of AI, enterprises must focus on seamless integration with existing workforce tools and develop AI agents capable of autonomous action.
Key Challenges and Opportunities
- Integration: AI must work harmoniously with tools employees already use.
- Scalability: AI agents need to be deployable across diverse environments.
- Future-proofing: Investments in AI must be safeguarded for long-term value.
Expert Insights
Hear from industry leaders on how to navigate these challenges:
- Ritika Gunnar, General Manager, Data & AI, Software, IBM
- Peter Doolan, Chief Customer Officer of Slack, Salesforce
- Magesh Bagavathi, SVP, Chief Data & AI Officer, PepsiCo
Unified Management
Discover strategies for managing AI assistants and agents in a more unified and adaptable way, ensuring both current and future investments are protected. Learn how companies are scaling AI solutions to deliver impactful results across their businesses.
For more information, visit IBM's AI solutions.
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About the Author
Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.