Artificial Intelligence

Past Presentations

Models in Minutes not Months: AI as Microservices

Companies are redefining their businesses by building models and learning from data. Whether it is using data science to predict their best sales and marketing targets, automating digital customer interactions using bots, or reducing waste in logistics and manufacturing - Artificial Intelligence...

Sarah Aerni Director, Data Science @Salesforce Einstein
AI in the Asset Management Industry

In the Financial industry, Artificial Intelligence has been one of the sophisticated techniques used by early adopters to manage multiple assets. Those early adopters are Quantitative Hedge Funds, around since the 80s and managing today an estimated USD 940 billion. After presenting the main...

Antoine Pichot Quantitative Researcher @Systematica Investments
Machine Intelligence at Google Scale

The biggest challenge of Deep Learning technology is the scalability. As long as using single GPU server, you have to wait for hours or days to get the result of your work. This doesn't scale for production service, so you need distributed training on the cloud eventually, or take advantage of...

Guillaume Laforge Developer Advocate at Google Cloud and PMC Chair for Apache Groovy
Explaining Artificial Intelligence to Schoolchildren

In this talk, Dale will give an industry perspective on why introducing machine learning to kids is so essential, and share some of IBM’s experiences for how it can be done effectively - with some of the projects that school kids have created, and the lessons learned from these efforts.

Dale Lane Software Developer @IBM

Interviews

Sarah Aerni Director, Data Science @Salesforce Einstein

Models in Minutes not Months: AI as Microservices

I cannot go to any Data Conference and not hear about the Einstein Platform. Why?

Salesforce is democratizing AI with Einstein. Any company and any business user should be able to use AI, regardless of size.

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