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BD Confidential
Anita Bestelmeyer
Director, BD Corporate Computer-Aided Engineering (CAE)
October 28, 2017
1
HI VS AI: Will the Robots Win?
BD Confidential
CAE Technology Capabilities Driving Innovation
2
Corporate Computer-Aided Engineering (CAE) recognized as center-of-excellence
with broad range of engineering technology expertise valuable to BD.
BD Confidential3
Human Intelligence is Essential: Passionate People Embracing Innovative Technologies
BD Confidential
Process Automation for Material Decisions
4
Save time and ensure data integrity for quick and informed decisions by BD associates worldwide.
BD Confidential
Process Automation for Product Performance
5
Hundreds of intelligent iterations enabled successful launch of product platform with new safety feature.
BD Confidential
Future of BD’s Digital Agent
6
Utilize trained neural nets, Optibot
self-heal scripts, and past
conversations to fill in gaps.
Utilize machine learning to watch
human problem solving, building and
recommending new algorithms.
Sense user emotions and pass off to a
human if user frustrated, and tweak
algorithms to improve user sentiment.

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H ivs ai_bestelmeyer_slides

  • 1. BD Confidential Anita Bestelmeyer Director, BD Corporate Computer-Aided Engineering (CAE) October 28, 2017 1 HI VS AI: Will the Robots Win?
  • 2. BD Confidential CAE Technology Capabilities Driving Innovation 2 Corporate Computer-Aided Engineering (CAE) recognized as center-of-excellence with broad range of engineering technology expertise valuable to BD.
  • 3. BD Confidential3 Human Intelligence is Essential: Passionate People Embracing Innovative Technologies
  • 4. BD Confidential Process Automation for Material Decisions 4 Save time and ensure data integrity for quick and informed decisions by BD associates worldwide.
  • 5. BD Confidential Process Automation for Product Performance 5 Hundreds of intelligent iterations enabled successful launch of product platform with new safety feature.
  • 6. BD Confidential Future of BD’s Digital Agent 6 Utilize trained neural nets, Optibot self-heal scripts, and past conversations to fill in gaps. Utilize machine learning to watch human problem solving, building and recommending new algorithms. Sense user emotions and pass off to a human if user frustrated, and tweak algorithms to improve user sentiment.