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Robotics and Artificial Intelligence
A brief history…
John Thompson
Managing Partner
Business Intelligence and Analytics
john.thompson@clientsolutions.ie
Slide 2
Artificial Intelligence
What is it?
Why is it such a hot topic now?
What are the key issues?
Slide 3
What is it?
• AI - enabling machines to perform functions equivalent to logic, reasoning, planning,
learning, and perception.
• The ‘key’ ingredient in making systems flexibly autonomous – Robotics
• Supervised Learning – Algorithms applied to training data to generate
‘models’
• Originated in the 1950s, with key theoretical developments in 70s and 80s
– Neural Nets, k-Means Clustering, Decision Trees, Support Vector Machines, Bayes etc.
– Some machines create their own models and/or training data – Machine Learning, Deep Learning
“All models are wrong but some are useful”
Slide 4
Why is it such a hot topic?
• It has always been a topic of great interest
• Reaching a tipping point
– Combination of improvements in processing power, availability of data, digitalisation of daily activities
– Low entry barriers
– Generic, user-friendly Technology
– Increasingly broad real-world applications
– Commercial viability
– Internet, Big Data, Amazon, Facebook, Google, Watson, Deep Learning, Autonomous Vehicles, Chat-
bots, Virtual Assistants etc.
Slide 5
What are the issues
• Ethics – Not can we, but should we?
– control, privacy, society, freedom
• Quality
– Of Model
– Of Data
Thank You
Presented By:
John Thompson
Managing Partner
Business Intelligence and Analytics
john.thompson@clientsolutions.ie

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Robotics and Artificial Intelligence - The good the bad and the data - John Thompson Client Solutions Ireland - DAMA Ireland March 2019 Event

  • 1. Robotics and Artificial Intelligence A brief history… John Thompson Managing Partner Business Intelligence and Analytics john.thompson@clientsolutions.ie
  • 2. Slide 2 Artificial Intelligence What is it? Why is it such a hot topic now? What are the key issues?
  • 3. Slide 3 What is it? • AI - enabling machines to perform functions equivalent to logic, reasoning, planning, learning, and perception. • The ‘key’ ingredient in making systems flexibly autonomous – Robotics • Supervised Learning – Algorithms applied to training data to generate ‘models’ • Originated in the 1950s, with key theoretical developments in 70s and 80s – Neural Nets, k-Means Clustering, Decision Trees, Support Vector Machines, Bayes etc. – Some machines create their own models and/or training data – Machine Learning, Deep Learning “All models are wrong but some are useful”
  • 4. Slide 4 Why is it such a hot topic? • It has always been a topic of great interest • Reaching a tipping point – Combination of improvements in processing power, availability of data, digitalisation of daily activities – Low entry barriers – Generic, user-friendly Technology – Increasingly broad real-world applications – Commercial viability – Internet, Big Data, Amazon, Facebook, Google, Watson, Deep Learning, Autonomous Vehicles, Chat- bots, Virtual Assistants etc.
  • 5. Slide 5 What are the issues • Ethics – Not can we, but should we? – control, privacy, society, freedom • Quality – Of Model – Of Data
  • 6. Thank You Presented By: John Thompson Managing Partner Business Intelligence and Analytics john.thompson@clientsolutions.ie