In this report, Gartner examines key trends, opportunities and strategies for scaling the business impact, transforming deployment and increasing the overall value of data and analytics within your organisation.
- Drivers and strategies for scaling Machine Learning (ML) and Artificial Intelligence (AI)
- The value of AI augmentation for data and analytics
- How graph techniques will form the modern foundation for analytics
- How the growing maturity of AI tools will enable new levels of optimisation
“By 2022, 40% of machine learning model development and scoring will be done in products that do not have machine learning as their primary goal.”1
“By 2023, more than 33% of large organisations will have analysts practicing decision intelligence including decision modelling.”1
“By the end of 2024 75% of organisations will shift from piloting to operationalising AI, driving 5x increase in streaming data and analytics infrastructures.”1
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 AI landscape which help to inform the prioritisation of investments and drive competitive advantage.
What will I learn?
Over the next three to five years, the ability to effectively leverage and scale data-driven technologies such as AI will become increasingly imperative for business survival. Explore crucial findings, analyses and recommendations for investing in strategic data and analytics initiatives.
For more than 35 years, Gartner has been the leader in information technology research and advice. Gartner analysts provide actionable insight that business leaders rely on to make important decisions.
1Gartner. (2020, May 11). Top 10 Trends in Data and Analytics, 2020.
Gartner, Predicts 2020: Digital Workplace Applications Led by the New Work Nucleus, Lane Severson, Matt Cain, Craig Roth, Christopher Trueman, Carol Rozwell, Rashmi Choudhary, Stephen Emmott, Adam Preset, Michael Woodbridge, 6 December 2019
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