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:

• Akanksha Bilani – Global Sales Director, Intel

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