Track Overview
The Practice & Frontiers of AI
Learn about machine learning in practice and on the horizon
From this track
Fuelling the AI Revolution with Gaming
Artificial Intelligence will improve productivity, products and services, across a broad range of applications, all benefiting humanity. NVIDIA is researching all areas and working closely with top research labs around the world, Enterprise & startups in both problem-solving and getting...
Alison Lowndes
Artificial Intelligence DevRel @NVIDIA
Tools to Put Deep Learning Models in Production
While there are a lot of machine learning frameworks and libraries available, putting the models in production at large scale is still a challenge. I’d like to talk about how we took on the challenge of supporting the data scientists with their efforts by making it easy to put their models in...
Sahil Dua
Developer at Booking.com; Open Source Contributor in DuckDuckGo, GitHub and Pandas
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
AI Panel
Join the track speakers and invited guests as they discuss where AI is heading and how it's affecting software today.
Sahil Dua
Developer at Booking.com; Open Source Contributor in DuckDuckGo, GitHub and Pandas
Alison Lowndes
Artificial Intelligence DevRel @NVIDIA
Guillaume Laforge
Developer Advocate at Google Cloud and PMC Chair for Apache Groovy
Antoine Pichot
Quantitative Researcher @Systematica Investments
Sarah Aerni
Director, Data Science @Salesforce Einstein
Eric Horesnyi
CEO @streamdata.io
Philip Winder
Consultant, Engineer, Scientist @Winder Research and Development Ltd.
Speakers from this track
Alison Lowndes
Artificial Intelligence DevRel @NVIDIA
After spending her first year with NVIDIA as a Deep Learning Solutions Architect, Alison is now responsible for NVIDIA's Artificial Intelligence Developer Relations in the EMEA region. She is a mature graduate in Artificial Intelligence combining technical and theoretical computer science with a...
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Sahil Dua
Developer at Booking.com; Open Source Contributor in DuckDuckGo, GitHub and Pandas
Sahil is a software developer at Booking.com. He has been involved in leveraging container infrastructure to help Booking.com’s internal teams in taking advantage of deep learning techniques at scale. An open source software enthusiast, Sahil is a core contributor and community leader for...
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Sarah Aerni
Director, Data Science @Salesforce Einstein
Sarah Aerni is a Director of Data Science at Salesforce Einstein, where she leads teams building AI-powered applications across the Salesforce platform. Prior to Salesforce she led the healthcare & life science and Federal teams at Pivotal. Sarah obtained her PhD from Stanford University in...
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Antoine Pichot
Quantitative Researcher @Systematica Investments
Antoine Pichot joined Systematica Investment in Geneva, an $8bn hedge fund, in 2015 as Quantitative Researcher. He is building algorithms to trade automatically in the stock market. Prior to Systematica, Antoine was an Executive Director for Goldman Sachs in London for six years. Antoine also...
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Guillaume Laforge
Developer Advocate at Google Cloud and PMC Chair for Apache Groovy
Guillaume Laforge is Developer Advocate for Google Cloud Platform, during the day, often talking about serverless technologies, conversational interfaces, or machine learning APIs. And at night, he wears his Apache Groovy cap, a popular alternative language for the Java Virtual Machine.
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Eric Horesnyi
CEO @streamdata.io
Eric is the CEO of streamdata.io. He was a founding team member at Internet Way (French B2B ISP, sold to UUnet) then Radianz (Global Finance Cloud, sold to BT). He is a High Frequency Trading infrastructure expert, passionate about Fintech, IoT and Cleantech. Eric looks after 3 bozons and has...
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Philip Winder
Consultant, Engineer, Scientist @Winder Research and Development Ltd.
Phil is an internationally recognised speaker with expertise that lies between cloud-native software and data science. He is a strong believer that we should be avoiding the same mistakes caused by the disintegration of dev and ops in data science. And that we need a new breed of engineers that...
Read moreTrack Host
Eric Horesnyi
CEO @streamdata.io
Track Host
Eric Horesnyi
CEO @streamdata.io
Eric is the CEO of streamdata.io. He was a founding team member at Internet Way (French B2B ISP, sold to UUnet) then Radianz (Global Finance Cloud, sold to BT). He is a High Frequency Trading infrastructure expert, passionate about Fintech, IoT and Cleantech. Eric looks after 3 bozons and has...
Read more