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Akanksha Bilani of Intel shares how businesses can successfully adopt generative AI with significant performance gains while saving on costs.
Topics Include:
- Akanksha runs go-to-market team for Amazon at Intel
- Personal and business devices transformed how we communicate
- Forrester predicts 500 billion connected devices by 2026
- 5,000 billion sensors will be smartly connected online
- 40% of machines will communicate machine-to-machine
- We're living in a world of data deluge
- AI and Gen AI help make data effective
- Goal is making businesses more profitable and effective
- Various industries need Gen AI and data transformation
- Intel advises companies as partners with AWS
- Three factors determine which Gen AI use cases adopt
- Factor one: availability and ease of use cases
- How unique and important are they for business?
- Does it have enough data for right analytics?
- Factor two: purchasing power for Gen AI adoption
- 70% of companies target Gen AI but lack clarity
- Leaders must ensure capability and purchasing power exist
- Factor three: necessary skill sets for implementation
- Need access to right partnerships if lacking skills
- Intel and AWS partnered for 18 years since inception
- Intel provides latest silicon customized for Amazon services
- Engineer-to-engineer collaboration on each processor generation
- 92% of EC2 runs on Intel processors
- Intel powers compute capability for EC2-based services
- Intel ensures access to skillsets making cloud alive
- AWS services include Bedrock, SageMaker, DLAMIs, Kinesis
- Performance is the top three priorities for success
- Not every use case requires expensive GPU accelerators
- CPUs can power AI inference and training effectively
- Every GPU has a CPU head node component
Participants:
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