As with big data and the cloud before that, we’re now seeing a significant hype bubble building up around artificial intelligence. This has the unfortunate consequence of convincing many executive leaders that if they don’t already know their way around a machine learning algorithm, they might not be ready for the so-called transformative power of AI.
The reality, however, is that AI is just another tool that can help your business, and you’re probably not that far behind the rest of the field. The pace of innovation actually hasn’t changed much from that of other technologies you have probably already successfully navigated, such as mobile and cloud.
This talk will explain how to evaluate the possibilities offered by AI as you would any other strategic investment. Vinay Seth Mohta, CEO of Manifold, outlines five key questions that help identify the sources of business value that should dictate any technology acquisition. He also explains the implications of these questions for your initial AI strategy.
These questions are:
1. What question would make your organization more competitive if you could answer it?
2. What questions that you’re already asking could have better answers?
3. Where are you spending lots of time gathering or analyzing information?
4. Do you wish you could clone your top performers?
5. How can you create magic for your customers?
Vinay Seth Mohta is a managing director at Manifold, an artificial intelligence engineering services firm with offices in Boston and Silicon Valley. Prior to Manifold, Vinay was a product manager at KAYAK where he worked with both Hadoop and Hive to develop a robust view of customers. He also developed a predictive model for flight pricing. Before that, Vinay was an architect at Endeca Technologies, where he worked in the engineering team that developed new data structures and indexing technologies to enable search and faceted navigation. He is a co-inventor on several granted patents for search and faceted navigation. Vinay received his Bachelors of Science and Masters in Engineering from the Massachusetts Insitute of Technology (MIT).
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