Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

A Journey to Machine Learning (ML) - a Software Perspective (#AIFightsBack Series)

133 views

Published on

Watch on Youtube: https://youtu.be/DK3SeD-c-N4
With clients including RTE, Aviva, Heineken and a range of international telcos, Marino Software is one of the longest standing digital consultancies in town.
CEO Keith Davey breaks down Machine Learning and what it really means in practical terms for Marino Software. He talks about pre-trained models, custom ML and the hardware needed to develop world-class tech. The end result for him, however, is about using ML to deliver exceptional customers experiences for their clients.
Keith will also talk about their recent collaboration on RTE 1’s Big Life Fix series where they build a voice recognition software for Roisin, mum of three and Motor Neurone Disease sufferer.

#AIFightsBack is an online webinar series for anyone in business who needs to learn about how AI can create value and help you come back stronger than ever.  Learn from top-notch data practitioners about core automation tools, growth opportunities and the ‘AI quick Wins’ that you can easily adopt in your business to gain momentum.
This series is brought to you by Nightingale HQ - your complete platform for AI adoption.

Keith Davey, CEO, Founder Marino Software
Founder and CEO at Marino Software a mobile software company of operating over 9 years. Marino Software design and engineer engaging software for finance, communications, education & media. 
https://www.marinosoftware.com/

Published in: Technology
  • Be the first to comment

  • Be the first to like this

A Journey to Machine Learning (ML) - a Software Perspective (#AIFightsBack Series)

  1. 1. Who we are Your where you business goals and your customer’s needs intersect
  2. 2. Journey To Machine Learning
  3. 3. Reasons for ML Growth
  4. 4. Step 3: Hardware Step 4: Build Team Step 5: Data Step 2: Custom ML Step 1: Cloud Based Solutions Google Agency Day 2016
  5. 5. Step 1: Cloud Based Solutions Machine Learning in Amazon Cloud Pre-trained models
  6. 6. Step 2: Custom ML Open Source software for general machine learning
  7. 7. Step 3: Hardware Step 4: Build Team Step 5: Data Step 2: Custom ML Step 1: Cloud Based Solutions
  8. 8. Step 3: Hardware Step 4: Build Team Step 5: Data Step 2: Custom ML Step 1: Cloud Based Solutions
  9. 9. Step 3: Hardware Step 4: Build Team Step 5: Data Step 2: Custom ML Step 1: Cloud Based Solutions
  10. 10. Step 3: Hardware Step 4: Build Team Step 5: Data Step 2: Custom ML Step 1: Cloud Based Solutions
  11. 11. •Experimental development by its nature •25% claim back of costs
  12. 12. What is machine learning for Marino? Voice Recognition Computer VisionNatural Language Processing Voice Syntheses Image ClassificationImage Detection
  13. 13. Examples
  14. 14. KYC/AML Document upload
  15. 15. Machine Learning AML Tensorflow + Tesseract + Amazon Rekognition
  16. 16. iD Mobile Customer Service Bot
  17. 17. iD mobile Customer Service bot • Initially embedded in the selfcare app • Rolled out to other chat systems - Messenger etc • Rolled out to voice systems - Alexa/Google Home • Biometric Login
  18. 18. Vero adult content filtering
  19. 19. • Pornography detection pre-built model • Age detection pre-built model
  20. 20. Cancelled appointment Filler
  21. 21. Roisin Foley - MND
  22. 22. •Voice Banking •Lyrebird Roisin’s Voice AWS Polly Lyrebird
  23. 23. Thank You

×