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We invite you to participate in the Innoplexus Online Hackathon to understand and solve a real-world problem from industry. Imagine some of the world’s largest companies facing this problem, throwing a lot of resources at it and you will realize the scale of the same.
The winners get exciting prizes but that’s not all – each one of the best data science hackers will get shortlisted for interviews with Innoplexus and will have a chance to join our amazing team in solving even tougher problems.
When we looked at the decision making the landscape in organizations and observed that the available technologies and models were supporting decision making but with fixed cycles of information processing, running in batches, with little flexibility and agility. We saw products sacrificing usability for more features, deployment times of months and requiring days or weeks of training to get started.
That is when we founded Innoplexus to disrupt the way of decision-making processes and to drive digital transformation in data analytics. By building intelligent applications we bring together Research, Engineering, UX-Design, and other experts to use machine learning and Artificial Intelligence to solve the toughest problems from curing cancer to predictive analytics. Recently we integrated Blockchain technology to add formerly unpublished (meta)data to our data ocean.
We are aiming to be the leading provider of Artificial Intelligence solutions and striving towards it day by day.
Founded in 2011, Innoplexus AG is headquartered in Frankfurt, Germany, the main development center in Pune, India, and commercial center in Hoboken, USA.
Learn more at www.innoplexus.com
Along with prizes, all top 10 participants will get interview opportunity with Innoplexus.
We believe in the power of collaboration. You will work alongside the industry’s best creative thinkers and can grow with your team and turn great ideas into reality. We support you to develop your skill with training courses, knowledge sharing and learn while you work.
Free
When: March 23-24, 2019
Where: Online
The original event was published on Analytics Vidhya.
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