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IBM Developer Blog

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When will the data scientist be replaced by AI?

By Romeo Kienzler | Published September 26, 2018

A data scientist's work is highly repetitive and machine learning algorithms eventually will be able to learn what to do with the data.

Chatbot aids in supplying food when natural disaster strikes

By Daryl Pereira | Published September 25, 2018

Appalled by the food waste and shortage crisis caused by the Northern California wildfires, Abhijit Basu, founder of the Silicon Valley-based communications startup Smartex, decided to answer the Call for Code and figure out a way to mitigate these issues that occur during natural disasters

Best practices using Spark SQL streaming, Part 1

By Prashant Sharma | Published September 24, 2018

Learn some best practices in using Apache Spark Structured Streaming.

Women and girls answer the Call for Code at IBM leadership lab

By Stephanie Parkin | Published September 20, 2018

Workshop boosts women and girls' participation in natural disaster preparation and relief, and promotes equality in business and the boardroom.

7 ways to create secure APIs from the start

By Dmitriy Beryoza, IBM X-Force Ethical Hacking Team | Published September 17, 2018

There's a lot to think about when you're creating an API. One of the most important ways you can create a successful API is to design it with security in mind from the start. In this blog post, I share 7 things you can do to ensure the APIs you…

DroneAID: Visual recognition helps hurricane victims

By IBM Developer Staff | Published September 13, 2018

Call for Code's Puerto Rico hackathon winner Pedro Cruz was unable to reach his grandmother after Hurricane Maria hit the island in 2017. Using a drone to locate and communicate with her, he noticed hundreds of messages scrawled on the ground by those desperate for help. For his winning idea,…

AI Fairness 360: Raise AI right!

By Aleksandra Mojsilovic, IBM Research Fellow, Ruchir Puri, Chief Architect, IBM Watson | Published September 12, 2018

AI is experiencing a renaissance and it’s vital that we build AI right. The values adopted to build today's AI systems will be reflected in the decisions those systems make for a decade or more. We're happy to announce the launch of the open source AI Fairness 360 toolkit, which…

AI Fairness 360: Attacking bias from all angles

By Animesh Singh, Michael Hind | Published September 7, 2018

Take a look at AI Fairness 360, an open source library to help detect and remove bias in machine learning models and data sets.