CIO OPINION analytic content created from spreadsheets loaded to a generative AI-enabled chatbot .
Spreadsheets , often referred to as the cockroach of analytics tools – are perennial survivors despite disruptive markets , and they spread when the right conditions arise . With the ability to analyse spreadsheets directly through GenAI chatbots , the use of spreadmarts is expected to grow .
This signals a need for closer collaboration between data analysts and IT departments to manage and govern the proliferation of these generative data silos .
Gartner predicts by 2026 , more than 70 % of independent software vendors , ISVs will have embedded GenAI capabilities in their enterprise applications – a major increase from fewer than 1 % today .
The convenience of AI-enabled natural language query , NLQ without an ABI platform poses a displacement risk for traditional vendors and investments made by data and analytics leaders . Analytics consumers working in this way will reduce their reliance on complex , wellgoverned analytics software . they are able to effectively use these tools for data analysis in a secure manner .
Employ strategic planning
Leaders in analytics and business intelligence must incorporate the use of NLQ chatbots outside of ABI platforms as a technological catalyst into their strategy and operating model . This will be a crucial component of future data analytics workflows .
Integration efforts promote composability
Bill Finnerty , VP Analyst at Gartner
The new role of AI in analytics requires data and analytics leaders to think about their data and analytics ecosystems beyond ABI platforms . They must take the following recommendations into considerations to adapt to the evolving landscape .
Focus on AI training
Training modules should be developed for both business analysts and augmented analytics consumers in order to fully utilise the benefits of GenAI . This will ensure that
ABI platforms must pursue integration with LLMs to remain relevant in a market where users increasingly
Advanced predictive analytics has been successfully used in different industries , such as healthcare and public safety .
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