Up to 50% Discount for DATAx San Francisco - Unlock it now

Data Science in the Real World

DATAx San Francisco is where the latest innovations in machine learning and data science meet real-world application.

Taking place May 14-15th 2019, the festival combines intensive two days of networking with AI startups and 100+ technical masterclasses, keynotes and fireside chats covering how innovations in ML and predictive analytics are being applied in Marketing, Healthcare, Gaming and Finance.

Connect and learn actionable insights from heads of data science at at Google, Uber, Reddit, Amazon, Microsoft, Airbnb, Hive, Pfiser, Warner Bros, Hinge, Pinterest, Blizzard, alongside some of the most interesting startups from across the Bay Area.

We have 20 discounted tickets available for those willing to give us a hand on research. To unlock up to 50% off discounted tickets simply complete this short survey.

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* 1. How would you like to be involved with the event?

To ATTEND as a delegate (with discounted ticket)

To ATTEND the VIP DATAx Dinner on May 14th.
Please note: This is reserved to senior executives of retail and eCommerce organisations

To sponsor the event with the START-UP package discounted rate

To claim your discounted ticket please provide us with your contact details and we will be in touch soon

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* 2. First name

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* 3. Last name

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* 4. Job title

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* 5. Email address

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* 6. Organization name

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* 7. Phone number

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* 8. Number of employees in your organization

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* 9. Industry: Please select the closest fit

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* 10. What is the main data and analytics challenge your organisation is facing at the moment?

Educating people about what data can do for you

Low speed and lack of agility executing Machine Learning

Engaging cross-department expertise

Need for synchronization across disparate data sources

Creating data science models but not solving it

Identifying appropriate analytics use cases

Finding the right data & right data sizing

Right storytelling

Understanding customer behaviour

Recruiting and retaining hiring AI and ML talent

Consolidation of information

Stakeholder commitment & identifying the right area to invest

Ensuring the security of data