8 Powerful Examples Of AI For Good

  1. “Accessibility – There are more than 1 billion people living with a disability around the world. Artificial intelligence can be used to amplify these people’s abilities to improve their accessibility.
  1. Climate Change, Conservation and the Environment
  1. World Hunger
  1. Human Rights
  1. Fight Fake News
  1. Education
  1. Healthcare
  1. Resilience”

https://www.google.com/amp/s/www.forbes.com/sites/bernardmarr/2020/02/10/8-powerful-examples-of-ai-for-good/amp/

Image credit: Adobe stock

Yes, AI will soon be everywhere – but it will support humans, not replace them

  • “‘We are increasingly seeing artificial intelligence and machine learning being subsumed into industries like healthcare, education and architecture.’
  • ‘We are going to become more aware that we’re outsourcing decision making to machines, and that’s going to be a huge trust leap.'”

https://www.wired.co.uk/article/ai-will-soon-be-everywhere-will-support-humans-not-replace-them

Wisdom for AI

I’ve reviewed our top performing posts over the previous 12 months, and they all revolve around the topics of: learning, training, education and wisdom.

With that in mind, here’s a quick summary of the most impactful content.

Udacity launches nontechnical AI product manager nanodegree

https://aiecommerce.com/2019/06/18/udacity-launches-nontechnical-ai-product-manager-nanodegree/


An executive’s guide to AI – McKinsey

https://aiecommerce.com/2019/01/06/an-executives-guide-to-ai-mckinsey/


Become an AI Company in 90 Days

https://aiecommerce.com/2019/01/21/become-an-ai-company-in-90-days/


“AI For Everyone”: Course Review & Key Takeaways

https://towardsdatascience.com/ai-for-everyone-course-review-key-takeaways-177be96330fe


The 7 steps of machine learning

https://aiecommerce.com/2018/12/11/the-7-steps-of-machine-learning/


2019 AI eCommerce Spotlight Awards

https://aiecommerce.com/2019/01/01/2019-ai-ecommerce-spotlight-awards/

“AI For Everyone”: Course Review & Key Takeaways

“Let’s recap what we have learnt in this course:

First week: AI technology, what is AI and what is machine learning? What’s supervised learning, that is learning inputs, outputs, or A to B mappings. As well as what is data science, and how data feeds into all of these technologies? What AI can and cannot do?

Second week: What it feels like to build an AI project? What is the workflow of machine learning projects, of collecting data, building a system and deploying it, as well as the workflow of data science projects? How to carry out technical diligence to make sure a project is feasible, together with business diligence to make sure that the project is valuable before you commit to taking on a specific AI project?

Third week: How such AI projects could fit in the context of our company? Examples of complex AI products, such as a smart speaker, a self-driving car. What are the roles and responsibilities of large AI teams? The AI transmission playbook, what are the five-steps for helping a company become a great AI company?

Last week: AI and Society. What are the limitations of AI beyond just technical ones? How AI is affecting developing economies and jobs worldwide?”

https://towardsdatascience.com/ai-for-everyone-course-review-key-takeaways-177be96330fe

Index of Best AI/Machine Learning Resources – HackerNoon

“Artificial Intelligence/Machine Learning field is getting a lot of attention right now, and knowing where to start can be a little difficult.

I’ve been dabbling in this field, so I thought of curating the best resources in one place. All of these are curated based on if it’s an inspiring read or a valuable resource. I hope this curated list help you get started on what you need to know about AI/Machine Learning on a technical level.”

https://hackernoon.com/index-of-best-ai-machine-learning-resources-71ba0c73e34d