Analyst report Complimentary Gartner report: Top Trends in Data and Analytics for 2022
By Insight Editor / 21 Jul 2022 / Topics: Artificial Intelligence (AI) Analytics
The world is changing rapidly, and unpredictable challenges have put the pressure on business leaders to solve problems quickly — all while preparing for new disruptions to emerge. To stay relevant, data and analytics leaders must find ways to operate strategically while transforming the business. This looks like:
- Utilising data and analytics technology to drive growth and innovation
- Augmenting people and decisions when faced with limited talent pools
- Reducing data sharing risk with automated trust metrics
“By 2026, enterprises that have adopted AI engineering practices to build and manage adaptive AI systems will outperform their peers in the number of operationalized AI models by at least 25%.”
“By 2025, context-driven analytics and AI models will replace 60% of existing models built on traditional data.”
“By 2026, applying automated trust metrics across internal and external data ecosystems will replace most outside intermediaries, reducing data sharing risk by 50%.”
Who is this report for?
CIOs, Business Intelligence (BI) solutions architects, data scientists and other decision-makers will gain critical insights into the data and analytics landscape which help to inform the prioritisation of investments and drive competitive advantage.
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