The Data Standard
In this episode of The Data Standard, the host Catherine Tao talks with Alyssa Guo about AI solutions, cross-team co-operation, and how AI solutions promise to change companies forever.
Starting an AI project is hard work. Not only do you require the proper analytics before beginning AI projects, but you’ll also need a plan for everything. The appropriate co-operation between the AI development team and the business team is the key to a streamlined and successful AI project.
Every company has its resources that dictate the defined objectives of the AI and data infrastructure – which is why multiple teams have to be in on the project for it to be successful.
Depending on the size of the teams and the project itself, the required resources, time, and the overall end product will vary. Collaboration is challenging these days, primarily due to the pandemic, but most people working with technology are already acquainted with digital meetings and co-operation, which ensures that processes for AI projects are still on the right track development-wise.
Tune in with Catherine Tao and Alyssa Guo and learn all about artificial intelligence, cross-team co-operation, and how the pandemic has made us a bit more disconnected
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Director of Data Analytics at Afiniti.com
Alyssa Guo is a talented director of data analytics at Affinity and an expert on Artificial Intelligence applications. She is currently developing a leading AI solution for the call-center industry. With her customer support and finance background, she has a unique take on AI projects and data science as a whole right here on The Data Standard!