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Precisely 2025 Predictions: Unlocking the full potential of data and AI - the rise of AI agents, metadata, and location intelligence

vmblog-predictions-2025 

Industry executives and experts share their predictions for 2025.  Read them in this 17th annual VMblog.com series exclusive.

By Tendü Yoğurtçu, PhD, Chief Technology Officer, Precisely

In 2025, the convergence of data and AI will continue to redefine the technology and business landscape. As organizations further integrate AI in their respective workflows, they will streamline traditionally complex business operations through the use of agentic AI, while also prioritizing AI models enriched with trustworthy data. These efforts will hinge on strong data practices, including the implementation of metadata to drive intelligence, geospatial data and analytics for improved decision-making and AI governance.

2025 Will Be the Year of AI Agents

The rise of agentic AI-both autonomous and augmenting agents designed to interact and make decisions in complex environments-is expected to reshape workflows. Autonomous agents will operate independently, making decisions without human intervention, while augmenting agents will work alongside humans, enhancing their capabilities and decision-making processes. However, the journey to widespread organizational trust and adoption will take time. Early adopters will experiment with both types of agentic AI in low-risk use cases and controlled environments, focusing on augmenting specific workflows with clear human oversight. Trust will be built incrementally as organizations see measurable value and understand the nuances of how agentic AI interacts with decision-making processes. Additionally, AI will revolutionize user interfaces (UI) and customer experiences. This transformation will enable more intuitive, hyper-personalized, and efficient interactions, fundamentally changing how users engage with technology.

Data Integrity Will Be the Foundation of AI Success

In 2025, as enterprise AI adoption accelerates, the focus on powering AI initiatives with high-quality, integrated, and contextualized data will be critical to success. New research shows 60% of organizations state that AI is a key influence on their data programs, however only 12% report that their data is of sufficient quality and accessibility for AI. Organizations will prioritize investments in data cleansing, standardization, and enriching their organizational data with 3rd party data to ensure their AI systems deliver more accurate results leading to trusted business decisions. High-quality data will no longer be a competitive advantage but a business imperative. Cost-performance considerations will lead to a focus on delivering more accurate results with domain-specific and high-quality data sets, regardless of model sizes.

Metadata Will Be the Driver for Intelligence

In 2025, metadata will emerge as the linchpin for unlocking the full potential of data and AI. Active metadata management goes beyond static descriptions of data by continuously monitoring and enriching metadata with insights, such as usage patterns, data lineage, and data quality metrics. Data observability will play a key role in active metadata management, enabling organizations to set alerts, monitor patterns, and detect deviations from historical trends. Active metadata is crucial for powering automation and AI-driven processes, allowing organizations to dynamically optimize data integration, quality monitoring, governance, and security. This real-time intelligence will facilitate faster, more accurate decision-making and greater operational efficiency across distributed data environments.

Location Intelligence Will Take Center Stage

In 2025, location intelligence will become a pivotal element in business strategy and operations. By leveraging geospatial data and advanced analytics, organizations will gain deeper insights into customer behavior, market trends, and operational efficiencies. Location intelligence will enable businesses to optimize supply chains, enhance targeted marketing efforts, and improve customer experiences by providing contextually relevant information. The integration of location-based data with AI will drive innovation in areas such as smart cities, logistics, emergency responses, and hyper-personalized services, making location intelligence a cornerstone of data-driven decision-making.

AI Regulations Will Drive Demand for Robust Data and AI Governance

As stringent AI regulations, such as the EU AI Act, come into effect in early 2025, businesses will increasingly prioritize embedding robust data integrity strategies centered on governance, quality, and observability to close this gap. New research shows that 62% of companies cite data governance as the primary challenge inhibiting AI initiatives, and 71% report that they will be investing in governance programs. Beyond data governance, the absence of interpretability and transparency in AI models raises significant concerns regarding bias, ethics, accountability, and equity. As organizations aim to operationalize AI responsibly, robust data and AI governance will play a pivotal role bridging the gap between regulatory compliance and ethical AI adoption.

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Tendü Yoğurtçu, PhD, Chief Technology Officer

Tendü-Yoğurtçu 

Tendü Yoğurtçu, Ph.D., is the Chief Technology Officer (CTO) at Precisely. In this role, she directs the company's technology strategy and innovation, leading product research and development (R&D) programs.Prior to becoming Chief Technology Officer, Tendü served as General Manager of Big Data for Syncsort, the precursor to Precisely, leading the global software business for Data Integration, Hadoop, and Cloud. She previously held several engineering leadership roles at the company, directing the development of the Integrate family of products.

Published Friday, January 24, 2025 7:35 AM by David Marshall
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