Put AI to Work
14-17 Oct 2019
London, UK
Breakthroughs, best practices, and business transformation
Join us for a deep dive into AI techniques and technologies, focusing on practical business applications.
Robert Crowe (Google)

A data scientist and TensorFlow addict, Robert has a passion for helping developers quickly learn what they need to be productive. He’s used TensorFlow since the very early days and is excited about how it’s evolving quickly to become even better than it already is. Before moving to data science Robert led software engineering teams for both large and small companies, always focusing on clean, elegant solutions to well-defined needs. In his spare time Robert sails, surfs occasionally, and raises a family.

Danielle Dean

Danielle Dean is a principal data scientist lead in AzureCAT within the Cloud AI Platform Division at Microsoft, where she leads an international team of data scientists and engineers to build predictive analytics and machine learning solutions with external companies utilizing Microsoft’s Cloud AI Platform. Previously, she was a data scientist at Nokia, where she produced business value and insights from big data through data mining and statistical modeling on data-driven projects that impacted a range of businesses, products, and initiatives. Danielle holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill, where she studied the application of multilevel event history models to understand the timing and processes leading to events between dyads within social networks.

Akshay Kulkarni (Publicis Sapient)
Akshay Kulkarni is a renowned AI and Machine learning evangelist, an Author and a Speaker. Recently he has been recognized as one of “top 40 under 40 data scientists” in India by Analytics India Magazine.

He has consulted with several Fortune 500 and global enterprises in driving AI and Data Science-led strategic transformation. Akshay has a rich experience of building and scaling AI and Machine Learning businesses and creating significant client impact. He is currently the Senior Data Scientist at SapientRazorfish’s core AI and data science team where he is part of strategy and transformation interventions through AI, manages high priority growth initiatives around data science and works on various Machine Learning, Deep Learning, Natural Language Processing and Artificial intelligence engagements by applying state of... Read More.

Mathew Salvaris
Mathew Salvaris (Microsoft)

Mathew Salvaris is a data scientist at Microsoft. Previously, Mathew was a data scientist for a small startup that provided analytics for fund managers and a postdoctoral researcher at UCL’s Institute of Cognitive Neuroscience, where he worked with Patrick Haggard in the area of volition and free will, devising models to decode human decisions in real time from the motor cortex using electroencephalography (EEG). He also held a postdoctoral position in the University of Essex’s Brain Computer Interface Group, where he worked on BCIs for computer mouse control. Mathew holds a PhD in brain computer interfaces and an MSc in distributed artificial intelligence.

Pramod Singh (Publicis Sapient)

Pramod is a Manager, Data Science with Publicis Sapient.

Dr. Vijay Srinivas Agneeswaran has a Bachelor’s degree in Computer Science & Engineering from SVCE, Madras University (1998), an MS (By Research) from IIT Madras in 2001 and a PhD from IIT Madras (2008). He was a post-doctoral research fellow in the LSIR Labs, Swiss Federal Institute of Technology, Lausanne (EPFL) for a year. He has spent the last eight years creating intellectual property and building products in the big data area in Oracle, Cognizant and Impetus. He heads data sciences at Tally Analytics, a startup. He has built PMML support into Spark/Storm and realized several machine learning algorithms such as LDA, Random Forests over Spark. He led a team that designed and implemented a big data governance... Read More.

Wee Hyong Tok
Wee Hyong Tok (Microsoft), @weehyong

Wee Hyong Tok is a principal data science manager with Microsoft. Wee Hyong has worn many hats in his career, including developer, program and product manager, data scientist, researcher, and strategist, and his track record of leading successful engineering and data science teams has given him unique superpowers to be a trusted AI advisor to customers. Wee Hyong coauthored several books on artificial intelligence, including Predictive Analytics Using Azure Machine Learning and Doing Data Science with SQL Server. Wee Hyong holds a PhD in computer science from the National University of Singapore.

Yi Zhang
Yi Zhang (Rulai & University of California Santa Cruz)

Yi Zhang is the CTO of Rulai. She has been a consultant or technical adviser for enterprises (HP, Toyota, Alibaba, etc.) and startups.

Dr. Yi Zhang is also a tenured Professor in Computer Science and Engineering Department, University of California, Santa Cruz. She has more than 20 years of experience in AI, with various awards, including ACM SIGIR Best Paper Award, National Science Foundation Faculty Career Award, Google Research Award and Microsoft Research Award. She has served as program chair, area chair and PC member for various top tier international conferences. Dr. Zhang received her Ph.D. from School of Computer Science at Carnegie Mellon University.