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Interview with Shanti Subramanyam, CEO, Orzota, Inc - Speaker at Global Artificial Intelligence Conference April 2018 Posted on Apr 16 - 2018

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We feature speakers at Global Artificial Intelligence Conference - April 27-29 2018 – Seattle to catch up and find out what he or she is working on now and what's coming next. This week we're talking to Shanti Subramanyam, CEO, Orzota, Inc Topic - "Anomaly Detection For Preventive Maintenance"

Interview with Shanti Subramanyam

1. Tell us about yourself and your background.

I am the Founder and CEO of Orzota, a company that builds big data and IoT solutions. I have spent most of my career in Silicon Valley, working for companies such as MIPS, Sun Microsystems, Yahoo!, etc. so I understand how to build robust, scalable and performant distributed systems with different technologies.

2.  What have you been working on recently?

At Orzota, our focus is on helping customers gain new insights and improve operations by implementing big data architectures that integrate with existing systems. We recently worked on a project to integrate data from an IoT cloud and built capabilities to predict device failures. IoT data will actually overtake all other types of data in terms of volume and velocity soon. Having the right strategy, architecture, tools and techniques to ingest, store, process and rapidly analyze this data in conjunction with other data sources will be key.

3. Where are we now today in terms of the state of Artificial Intelligence, and where do you think we’ll go over the next five years?

We have made great strides in using AI for applications such as voice recognition and natural language understanding, driver-less cars, etc. Larger enterprises are only now beginning to use Machine Learning to improve operations on the one hand, but are more rapidly deploying AI solutions like chat-bots on the other.  The holy grail is not Machine Learning, Neural Networks, AI etc. but rather how can you productionize these models to take business actions and create true ROI for an organization. I hope to see big progress in this area in the next few years.

4. What would be your pitch to folks out there to join your Organization? Why does your organization matter in the world?

The world is increasingly about data. Technologies may evolve - be it Hadoop, Spark, BlockChain, AI etc. but the fundamental value of data will only increase. Our company is about finding insights from data. How do you store, organize, manage, clean, transform and analyze data. If you are excited about working on data, come join us!

5. What are some of the best takeaways that the attendees can have from your talk?

Any analytics project starts with exploring the data. Every business analyst and data scientist needs to visualize the data in multiple dimensions. Fast, interactive analysis is crucial to extract value from all this data. gain new insights and build AI models. So come listen to my talk and learn how to do fast exploratory analytics on Spark.

6. What are the top 5 AI Use cases in enterprises?

I think that really depends on what type of enterprise you are. If you are a manufacturing company, use cases around automated machine maintenance, workflow optimization, etc. will be important in addition to back-end use cases such as prescriptive inventory and spend, customer satisfaction, etc. If you are an insurance company, reducing claims by detecting fraud is usually the top use case.

7. Any closing remarks

Thank you for giving me the opportunity to speak at this conference and I hope to interact with many folks at the conference.

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