There was growing interest in machine learning among attendees of this year’s Strata & Hadoop World conference in New York. Many vendors are responding by rushing products to market even before they are ready. Information Management spoke with Sisense’s head of product Guy Levy-Yurista about why all the interest.

 

Information Management: What are the most common themes that you are hearing among conference participants?

Guy Levy-Yurista: “Machine learning was top of mind for a number of attendees at the show. There were several exhibitors who were not only talking about the potential of machine learning, but who were actually presenting narrow, but effective, machine learning products – even before they were ready to go to market.

“The machine learning ‘buzz’ has really penetrated the data analytics market, and everyone is trying to show they have a play so they can rise to the top of ongoing conversations. At Sisense, we have been aware for a while that machine learning would be the next revolution in business intelligence, but it’s fascinating to see how quickly the buzz has taken over the industry.

“Additionally, there is a major shift happening in the BI market, and the fall out of this could be felt in a big way at the show. Legacy BI and data analytics players had a noticeably reduced presence at the show from previous years.

“The show floor echoed the sentiment of the Gartner MQ released earlier this year that pointed to self-service solutions as the present and future of the BI and data analytics industry. As big data becomes omnipresent across industries, solutions that enable everyday business users to extract value from diverse and large data sources are those that are emerging as new leaders in the BI market."

 

IM: What are the most common data challenges that attendees are facing?

Levy-Yurista: “One of the most common issues that come to the forefront when discussing data management is the volume and diversity of data. The amount of data that companies need to digest is increasing at exponential rates. This can raise a number of challenges when it comes to managing and securing data across networks, whether on premise or in the cloud."

 

IM: How do these themes and challenges relate to your company’s market strategy this year?

Levy-Yurista: "At Sisense, we strive to help companies simplify business analytics for complex data, and embrace the transformation into a data-driven enterprise.

“As the amount of data continues to grow, Sisense is exploring new ways to simplify data analytics – moving beyond data visualization and exploring AI, IoT and machine learning applications that can further help companies make sense of their data, and use actionable insights to drive business ROI."

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