The prediction of artificial intelligence development trends in 2025 shows that data quality and governance will become key factors for enterprises to successfully apply AI, and their importance is even more important than generative AI technology itself. Enterprises need to pay attention to scalable and flexible AI solutions, invest in high-quality real-time data, and establish open platforms to achieve seamless integration between different systems. This article will delve into the central role of proprietary business data in driving the development of AI, and the critical significance of open platforms in promoting AI innovation and data integration.
As artificial intelligence (AI) technology develops rapidly in the industrial sector, experts point out that quality data and data governance will be more important than generative technologies. By 2025, enterprises must place greater emphasis on scalable and flexible solutions when adopting AI, rather than relying solely on generative AI (GenAI).
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According to Qlik analysts, the key to realizing the full potential of AI is for enterprises to invest in high-quality, real-time data and build open platforms that enable seamless integration between different ecosystems. Despite the impact of large language models (LLMs) in data extraction, many enterprises often do not use them to their full potential when working with their own unstructured data.
Charlie Farah, chief technology officer for analytics and AI at Qlik, said: “Trust and data quality will define the success of AI in 2025. Solutions that enable users to query data sets with natural language will be required to meet the growing demand for The real value of AI is in helping companies operate data responsibly, balancing innovation with control, security and compliance.”
Predictions show that by 2025, proprietary business data will be a core element driving advanced AI results. As the performance of AI models gradually reaches its limits, utilizing business data will become the key to improving AI efficiency and gaining competitive advantage in the industry.
Mark Fazackerley, Qlik country manager for Australia and New Zealand, explains: “Business data is what drives AI forward, but it’s not just any data – it’s proprietary, real-time and well-integrated data. "
With the rise of autonomous intelligent AI, this marks a major evolution in business technology. To effectively leverage autonomous intelligent AI, experts at Qlik recommend deploying open and agnostic platforms to avoid the limitations of proprietary systems that can hinder innovation. Such platforms ensure the continuous flow of data and facilitate the collaborative capabilities of AI.
Charlie Farah emphasized: "The success of AI relies on systems that can seamlessly integrate between cloud platforms and ensure continuous data flow. Closed ecosystems limit innovation and lock companies into outdated technology. With AWS, Snowflake A agnostic platform that integrates with environments like Databricks prevents data fragmentation and enables AI to operate as a unified and adaptable unit.”
This emphasis on the role of data and its governance signals a shift within the industry toward a more responsible AI strategy. This also highlights the advantages that specific solutions that integrate proprietary data and open systems will bring.
Highlight:
Data quality and governance will dominate the success of AI, not generative technologies.
In 2025, proprietary business data will be at the core of driving AI efficiency and competitiveness.
Open platforms and agnostic systems will promote AI innovation and seamless integration of data.
All in all, the future success of AI will depend on the emphasis on data quality and governance, as well as enterprise adoption of open, flexible platforms. Proprietary business data and open systems will become key factors for enterprises to gain competitive advantages, promoting the development of AI technology in a safer, more reliable, and more responsible direction.