Second Blog Post

Timeline

January

• Learn behind the scenes of how to design intelligent agents to understand how it works and what is needed to be able to interact with many users

• Look at code behind

• Understand successful leaders (Microsoft Cortana, Apple Siri, Amazon Alexa)

February

• Machine learning

• Learn different prediction models that businesses use to better plan their future

• Work with a specific client to compare prediction algorithms and ensure accuracy.

• We will develop our own models and rate them against another company that has already created a standard prediction model

• Extensive statistical research and coding will be performed during the early stages

March

• AI

• Testing and refining intelligent agents created

• Explore topic I’m interested in and research

April

• Machine learning

• Testing and refining the prediction models created

• Continue exploring topic I'm interested in and research

May

• Wrap up for presentation

• How AI can affect the business world

• How it can make an organization more efficient by using faster and more intuitive method

• Whole data process