At the recent Gartner IT Symposium
Posted: Tue Feb 11, 2025 4:00 am
Last year, Gartner reported that enterprise AI deployments in production reached 19%. As it becomes more popular, driven by growing vendor support, a growing pool of AI professionals, and a slew of technological advances, enterprises will increasingly have opportunities to find new uses for it that they hadn’t previously considered.
XPO EMEA conference, the analytics company presented the report “Top 10 Strategic Technology Trends in Data and Analytics-2020”, which examines the main trends, understanding which will help companies recovering from the consequences of the pandemic crisis to discover new opportunities.
1. AI will become smarter, faster, and more responsible. Gartner predicts that 75% of enterprises will move from pilot projects to commercial use of AI by the end of 2024. As a result, this will lead to a fivefold increase in the infrastructure for streaming data and analytics, which challenges the current data model, which was previously built on large cambodia whatsapp data of historical data, but may become irrelevant in a few years. The interest in AI will contribute to its rapid development due to such learning algorithms as reinforcement learning, interpretable learning for explainable AI, as well as the emergence of efficient infrastructure, including edge computing, and new types of chips.
2. Moving away from dashboards. Data stories, not dashboards, will be the most common way to use analytics by 2025, with 75% of the total volume automatically generated using advanced analytics. AI and machine learning are increasingly embedded in business intelligence platforms. While dashboards require a lot of manual work from the user to get insights, data stories provide the desired insights without requiring the user to do their own analysis.
XPO EMEA conference, the analytics company presented the report “Top 10 Strategic Technology Trends in Data and Analytics-2020”, which examines the main trends, understanding which will help companies recovering from the consequences of the pandemic crisis to discover new opportunities.
1. AI will become smarter, faster, and more responsible. Gartner predicts that 75% of enterprises will move from pilot projects to commercial use of AI by the end of 2024. As a result, this will lead to a fivefold increase in the infrastructure for streaming data and analytics, which challenges the current data model, which was previously built on large cambodia whatsapp data of historical data, but may become irrelevant in a few years. The interest in AI will contribute to its rapid development due to such learning algorithms as reinforcement learning, interpretable learning for explainable AI, as well as the emergence of efficient infrastructure, including edge computing, and new types of chips.
2. Moving away from dashboards. Data stories, not dashboards, will be the most common way to use analytics by 2025, with 75% of the total volume automatically generated using advanced analytics. AI and machine learning are increasingly embedded in business intelligence platforms. While dashboards require a lot of manual work from the user to get insights, data stories provide the desired insights without requiring the user to do their own analysis.