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Practicalities of Artificial Intelligence

Making AI Business-Smart 

Live webinar series

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

Join a series of monthly webinars from John Spooner, AI Expert at SAS and colleagues which discuss the practicalities of Artificial Intelligence from hands on experience.

SAS is taking to the road across the world to ensure that organisations are data driven, have insight at their fingertips and are winning. Find out first hand from our experts who will:

Share their real life best practices

Explain challenges and showcase new ways to approaches and solutions

Demonstrate technology and share hands-on tips for execution

Presenters

John Spooner

John Spooner
Head of Analytics and prominent expert in Machine Learning and AI, SAS

Mathias Coopmans

Matthew Stainer
AI expert, SAS

Schedule

Thursday 5th April 2018

15:00-15:45 (BST)

10.00 am – 10.45am (EST)
AI in action overview
Organisations across a spectrum of industries are utilising the latest capability that technology provides in the area of Artificial Intelligence. This webinar will look to separate the hype from reality and highlight examples of where SAS is delivering value now in automating the decisions that organisations make.
  • An insurance company has automated their claim handling decisioning capability to identify 85% of write off decisions in real time and reducing the average settlement time by over 50%.
  • A games developer has automated their modelling capability, improving their data scientists productivity 20 fold.
  • A bank has automated the analysis of 3 million unstructured data web chat conversations, identifying the best way for web agents to handle queries to improve customer satisfaction.
Wednesday 9th May 2018

15:00-15:45 (BST)

10.00 am – 10.45am (EST)
How would you provide clarity to your image data?
Computer vision relies on pattern recognition and deep learning to recognise what is in a picture or video. Learn more about how machines can;
  • process, analyse and understand images
  • capture images or videos in real time
  • interpret their surroundings.
Thursday 7th June 2018

15:00-15:45 (BST)

10.00 am – 10.45am (EST)
How will the machine know how to act human?
To use the deep insights that Artificial Intelligence can produce, we must teach the machine to understand, interact and communicate with us in a very human way i.e.: evaluate text like a human would, through the use of;
  • natural language processing
  • natural language interaction
  • natural language generation
Wednesday 11th July 2018

15:00-15:45 (BST)

10.00 am – 10.45am (EST)
Accelerate your machine learning and forecasting capability
Building one machine learning model is easy but data scientists are now having to deal with vast amounts of more data, and consider tens of machine learning algorithms in their bid to build their best model. Add this to the demand that organisations need more and more models to deliver accurate predictions - data scientists are under pressure to accelerate their model building capability.
Thursday 9th August 2018

15:00-15:45 (BST)

10.00 am – 10.45am (EST)
Turning understanding into action
Data science is only of benefit if the output can quickly be put into systems that can use them simply and confidently. This webinar will show how machine learning models can be easily deployed into batch, real time and in stream applications at a click of a button

Making decisions where data is generated - not where it lives.

To allow organisations to seize opportunities and spot red flags hidden in the massive torrent of fast-moving data that flows through, it is critical to analyse this high-velocity big data while it's still in motion – before it is stored – so you can take immediate action on what's relevant, and ignore what isn't.

Join this webinar to learn how SAS are addressing these challenges

 

Register now for this event

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 Thursday 9 May 2018
 How would you provide clarity to your data?
 Thursday 7 June 2018
 How will the machine know how to act human?
 Thursday 11 July 2018
 Accelerate your machine learning and forecasting capability
 Thursday 9 August 2018
 Turning understanding into action

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