# Rise of the Machines

## Rise of the Machines

The Future of Programming - How AI/ML will change our lives

A panel discussion

* Fernando Cejas, IBM
* Juergen Fey, Androidian
* Meghan Kane, Novoda
* Dr.Roman Belter, APPSfactory
* Hoi Lam, Google

Nowadays, machines are powerful enough to run local

## Examples

* Image recognition
* Tone recognition in comments
* Smart advice, suggestions in communications

Interpretability, understanding way AI makes a decision is still in active research.

Know your data! AI can be a good application for your data.

Important to work together between UX and engineers to overcome uncertainty. Important to generalize enough when model is used outside the original use case.

Opportunitites: Differnt simple to use libraries

IBM watson Other IBM tools to connect data source Azure machine learning Google AI Cloud service

Analyze if you need a model.

Research papers are quite accessible for the general puplic. E.g. <https://paperswithcode.com/>, Standford computer vision course

## Biases

* AI is like a mirror of humanity
* Users of AI need to be aware of the biases
* Google looking into minority groups to have the product less biased

Higher quality data is more important than quantity.

AI teams are still detached from the test of the company. AI should be something horizontally.

AI will solve many of daily issue like bug fixing, etc. in the future. Management is still to understand how to deal with AI.

Steps for AI in development into the future: 1. Identify problems in current code 1. Suggest better solution 1. Generate own solutions


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