The document discusses various AI use cases, companies utilizing AI, channels for AI assistants, and machine learning toolkits and implementations. It provides examples of AI being used for shopping recommendations, sales analysis, predictive suggestions, 360 degree banking views, self-driving cars, adaptive learning, home automation, crop dusting drones, and detecting fake news. Popular channels mentioned are voice assistants, workplace messaging, and social messaging. Toolkits discussed are Tensorflow, CNTK, MXNet, and PaddlePaddle along with deep learning frameworks like Torch, Caffe, and Keras. Recommended learning resources on the topics are also provided.

1. AI Use Cases
Charlotte Bots & AI – Feb 1st

2. News Roundup
• Ycombinator taking applications for News,
Automation/Jobs and Democracy value applications
• Tensorflow self driving car: Donkey, TensorCart, MIT
Class and Google
• Amazon started rolling out Bot Developer Framework
(looks and work as API.ai)
• Automation conversation to follow
• Video surveillance and lip reading

3. Use Cases
Use case Company
Shopping Recommendation Amazon.com
Sales Analysis SalesForce.com Einstein
Predictive Suggestions LogoJoy.com
360 deg view Bank Of America - Erica
Self Driving All car companies
Adaptive Learning
Door bells, Lights, Bulbs Phillips, Lowes
Crop Dusting Drone companies
Detect Fake News Facebook

4. Channels
Channel Leader Competition
Voice Amazon Echo Google Home
Office Slack MS Teams
Messaging Facebook Kik

5. Implementations
ML Toolkits Tensorflow, CNTK, MXNet, PaddlePaddle
Deep Learning Torch, Caffe, Keras
Recommendations
Voice
Natural Language Processing
Text to Speech
Speech to Text
Greedy Algorithms (A/B)

6. Learning
• Udemy – Lazy Programmer
• Stanford Statistics class
• Deep Learning Resources