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If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.
Based on those and other criteria, here are three digital transformation practices CIOs might want to increase their focus on in 2025, and three worth replacing with other strategies or practices. 2025 will be the year when generative AI needs to generate value, says Louis Landry, CTO at Teradata.
According to the MIT Technology Review Insights Survey, an enterprise datastrategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their datastrategy.
Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a datastrategy? Why is a datastrategy important?
Cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. A real-time data pattern guides architects, data engineers, and developers in change management. Reducing barriers to data access and complexity facilitates innovation with data.
Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the datastrategy and technical perspective. Datastrategy in a VUCA environment. Data in an uncertain environment.
Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor dataquality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?
Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled dataquality challenges. With a multicloud datastrategy, organizations need to optimize for data gravity and data locality.
Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for datastrategy. As enterprises struggle to juggle all three, data governance offers a vital framework. No Data Leadership. DataQuality.
Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #6: DataQuality and Governance The size and complexity of data sources and datasets is making traditional data dictionaries and Entity Relationship Diagrams (ERD) inadequate.
Revisiting the foundation: Data trust and governance in enterprise analytics Despite broad adoption of analytics tools, the impact of these platforms remains tied to dataquality and governance. The GenAI revolution in enterprise analytics In 2025, generative AI is profoundly reshaping the analytics landscape.
In 2025, data management is no longer a backend operation. This article dives into five key data management trends that are set to define 2025. For example, AI can perform real-time dataquality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance.
Early returns on 2025 hiring for IT leaders suggest a robust market. Were seeing record growth in our search firm almost immediately in 2025, says Kelly Doyle, managing director at Heller Search Associates, an executive recruiting firm in Westborough, Mass., CIOs must be able to turn data into value, Doyle agrees.
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