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5 Tips For Better Artificial Intelligence Implementation From Amit Bhatia, Manulife


Amit BhatiaWe had a chance to attend the Data & AI Marketing Toronto this year, one of the sessions that stood out was by Amit Bhatia, Head of Manulife Innovation Labs at Manulife [TCO].

Amit heads up a team that spans across 3 continents including the United States, Canada and Asia who evaluate emerging technologies with a focus of bringing the best of breed technology to Manulife [TCO].  Here are some points that Amit shared from the stage earlier this morning

5 Tips For Better Artificial Intelligence Implementation:

  1. Organize your data – Make sure your data is accessible and clean
  2. Focus on Problems- Don’t look at “sticking AI” anywhere, you should be focused on solving problems; it might not always be beneficial in every use case 
  3. Prioritize Spend – Budgets are not unlimited; ensure that you use your budget wisely
  4. Involve Partners – Sometimes there is expertise that you can leverage. We found an expert in chatbot technology with a 3rd party vendor
  5. Continue Improving – Don’t get complacent; always look to be improving your customer solutions

Future of Artificial Intelligence:

As more and more Artificial Intelligence (AI) are rolled out by brands and vendors, we will continue to see new ways to integrate the technology into experiences for businesses and consumers.  Here are 3 big use cases for 2020 and beyond:

  1. Generative Adversarial NetworksCustomization – Is enabled with companies who have a lot of data, ex. Search history’s, a customer’s previous purchases 
  2. Fraud Detection – photo, Generative Adversarial Networks is a class of machine learning systems invented by Ian Goodfellow and his colleagues in 2014. Two neural networks contest with each other in a game. Given a training set, this technique learns to generate new data with the same statistics as the training set.
  3. Behavior – In China CCTV are used to monitor people in crowds – the Chinese government will then publicly shaming people who jaywalking in real time; recently they added the ability to monitor people using their gate and posture recognition (even if you hide your face)

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