Asaf Somekh, Co-founder and CEO at Iguazio talks about how the Data Science Platform transforms AI projects into real-world business outcomes.
1. Tell us about your role at Iguazio. How much of your typical day is involved in innovating AI-based tech for your customers?
As Co-Founder and CEO of Iguazio, I spend much of my time working with customers on innovative AI projects. Most recently, I’ve been working closely with the Sheba Medical Center, one of 10 top hospitals worldwide, on deploying an innovative AI application which predicts COVID-19 patient deterioration based on real-time data. It’s very fulfilling to get to play a part in the innovations our customers are bringing into their organizations with data science, I feel very fortunate to have a front row seat to these transformations which are occurring across industries.
2. What are the applications or rather opportunities you seek to have with your product?
AI and ML practices are no longer the luxury of research institutes or technology giants, they are becoming an integral part of any modern business application. According to industry analysts, most organizations fail to successfully deliver AI-based applications and are stuck in the process of turning data-science models, which were tested on sample or historical data, into interactive applications which work with real-world and large-scale data.
That’s where Iguazio comes in. Iguazio’s data science & MLOps platform enables customers to automate their ML pipelines and create continuous development and delivery (CI/CD) of data and ML intensive applications across hybrid environments (multi-cloud, on prem and edge).
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