The adoption rate for business intelligence and analytics solutions continues to hover around 35%. Yet the demand for timely analysis and insights has increased alongside the exponential growth of data collected by organisations. AI and machine learning promise the ability to automate analysis and insights, but how does it actually work? How should organisations approach these technologies to ensure they don’t become yet another under-utilised solution? And the key really is in helping business users leverage these solutions to drive towards their desired business outcomes.
In this podcast, Pete Reilly, Co-Founder and Senior Vice President of Sales and Marketing at AnswerRocket discusses how to deliver business value with automated, augmented analytics. To begin with, Pete explains what AI is actually automating and how it augments a human analyst’s workflow. Furthermore, he explains how organisations are using AI and machine learning to advance their analytics maturity. Also, Pete explains how organisations can get the most value out of their AI/BI solutions. Finally, he provides some examples of how understanding data correctly can make a difference to an organisation.
Founded in 2013, AnswerRocket is an augmented analytics platform that automates routine analysis normally performed by analysts. AnswerRocket uses AI and machine learning to accurately measure, diagnose, and predict business performance in seconds, automatically creating comprehensive stories with interactive visualizations and narrative insights. Named a Cool Vendor by Gartner, AnswerRocket empowers business people to access all of their data, ask questions in plain English, and get quick answers in seconds. The results are faster insights, better decisions, and more time to dedicate to executing ideas versus churning through data analysis. To learn more and see how AnswerRocket serves its global enterprise customers, check out www.answerrocket.com
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