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Unlock Business Value with GenAI Through a Data Semantic Approach

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By Robert Thanaraj, Sr Director Analyst at Gartner

Semantic representations of information are crucial for the functionality of large language models (LLMs), which is fuelling a heightened focus on semantics within data and analytics (D&A) and AI. 

Data silos become entrenched and limit an organization’s capacity to draw insights from its data. Without understanding the relationships within data, the individual pieces of information become less useful.

Semantic approaches facilitate a shared understanding of business terms and their interrelationships, which is vital for providing the necessary context for generative AI (GenAI). In a Gartner survey on the evolution of data management, 44% of the respondents from AI-ready organizations reported that semantic alignment is a key factor in assessing the AI readiness of their data.

D&A leaders can enhance and expand their semantic understanding by leveraging emerging technologies such as knowledge graphs and augmented data catalogs, thereby unlocking greater value from their information resources.

What is Data Semantics?

Data semantics refers to the meaning and interpretation of data within a business-specific context, as opposed to focusing on the physical representation of data through a data dictionary or a business glossary. It involves understanding what a data element represents, how it should be used, and its relationships with other data elements. Without this understanding, data is of limited use for AI use cases.

Semantic modeling is a practice of connecting technical metadata with business metadata.

A business glossary serves as the foundation for all things “semantic,” documenting the meanings of business-related terms. When the semantics and rules of a business glossary are well-understood, it leads to better data quality, easier integration and greater usefulness, supporting interactions with LLMs. The glossary also supports business goals like reducing costs and managing risks by making definitions clear, consistent and easy to trace back to their sources.

Top Recommendations for D&A leaders

  • -Upskill your data engineers with semantic modeling techniques such as the use of knowledge graphs in building business ontologies.
  • -Introduce DataOps practices to “deliver value from data” more easily, quickly and broadly. Take a people-, product- and governance-centric approach.
  • -Invest in converged data management platforms. Establish a platform engineering team that produces platform services for platform tenants.

Key Benefits of Data Semantics

Leveraging and governing semantics effectively enables:

  • Improved Data Understanding: Both people and applications gain a unified view of data and its structure. For example, if several medical e-commerce sites use consistent relationships between terms, applications can extract and aggregate information across these sites to support user queries or serve as input for other applications.
  • Knowledge Reuse: Relationships uncovered by one group can be reused or built upon by others for new use cases, allowing previously identified connections to be embedded in future work.
  • Enhanced Accuracy with LLMs:  Incorporating knowledge graphs into the training and inference processes of LLMs serves as a factual base (i.e., data and metadata source) for mitigating errors and hallucinations.
  • Enhanced Interoperability and Innovation: By adopting semantic modeling, organizations open themselves to a wider range of use cases and enable more effective data interchange.

Link Data from Different Sources to Derive Data Relationships

Semantic reconciliation plays a crucial role in effectively linking data from different sources. It is also essential for inferring relationships between disparate datasets. Without a clear understanding of the relationships, correlations and distinctions among the meanings of data from different modalities such as text, videos, images and structured data, organizations cannot fully realize the potential of their data assets.

Modern semantic tools use algorithms to find connections in data. These tools recommend the best ways to clean, organize and analyze information. They also track where data comes from and how it is used for better governance.

With augmented data discovery, algorithms automatically detect correlations, segments, clusters, outliers and relationships, presenting the most statistically significant and relevant results. By using these semantic approaches, organizations can connect information from different sources, uncover relationships and gain valuable insights that drive better decisions.

In business ecosystems, the degree of openness is driven by members’ strategies, common goals and shared interests. For example, governments, nongovernmental organizations, charities and community groups can collaborate on health or public policy issues, or in open-source developer communities. This creates an opportunity for exploiting the knowledge of data and the meaning of data in terms of what can be applied to several digital business moments.

Lastly Think Data Semantics Before Introducing Large Language Models

Organizations are spearheading transformative initiatives to implement large language models in order to transform their operations. However, data and analytics leaders often rush to integrate LLM capabilities without first ensuring these tools are aligned with real business outcomes. To maximize value, it’s essential to connect LLMs with robust semantic frameworks.

Knowledge graphs are a powerful foundation for leveraging LLMs in business contexts. These machine-readable data structures capture semantic knowledge about both physical and digital entities. These worlds include entities and their relationships, which adhere to a network of nodes and links forming the graph data model.

LLMs can streamline the creation of ontologies, which define categories and relationships within data. By using “few-shot” learning prompts—providing just a handful of examples—users can guide LLMs to generate base ontologies in open formats that suit their needs. These initial frameworks can then be refined for greater detail as required.

Additionally, LLMs support ontology mapping by helping users align entities and relationships across different datasets or systems. With targeted prompts and sample mappings, organizations can extract relevant connections from their data and improve accuracy through iterative refinement.

By adopting large language models alongside semantic representations like knowledge graphs and ontologies, organizations position themselves for faster deployment of advanced analytics solutions that deliver meaningful business value.

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LIFERAY INTRODUCES HEADLESS CMS TO MODERNIZE DIGITAL CONTENT MANAGEMENT

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Liferay, a leading provider of Digital Experience Platforms (DXPs), today announced the general availability of Liferay CMS, a fully headless content management system (CMS) designed to help marketing, development, and IT teams create, manage, and deliver digital content across multiple channels from a centralized repository.

Built on the core architecture of Liferay DXP, Liferay CMS combines the agility of a decoupled system with the stability and governance required by enterprise organizations. Whether powering a native mobile app, a customer portal, or a complex web ecosystem, Liferay CMS ensures content remains consistent, reusable, and easily distributable.

“Today’s organizations need agility without losing control of their content operations,” said Julia Molano, Director of Product Management at Liferay. “Liferay CMS builds on Liferay’s decades of DXP leadership to deliver a fully headless offering. It allows developers to work with stable, well-documented APIs while empowering marketers and content creators to manage global content without heavy reliance on IT.”

Liferay CMS introduces Spaces, the platform’s primary organizational units for headless content management, enabling teams to structure asset repositories, manage access, and collaborate more efficiently across departments or projects. Each Space provides a dedicated environment for content creation and management, including support for advanced localization with AI-powered translation tools, making it easier for global organizations to manage multi-language content.

“Across the Middle East, enterprises are moving away from fragmented content systems to unified, centralized architectures that can support scale and speed simultaneously. Headless CMS is becoming a critical enabler in this shift, allowing enterprises to deliver consistent digital experiences across channels while maintaining control and governance.  With Liferay’s intuitive CMS, teams can manage content centrally, reduce operational complexity, and accelerate time-to-market and deeper customer engagement’’, noted Moussalam Dalati, General Manager of Liferay Middle East, Africa, and France.

Key features of Liferay CMS include:

  • Global Content Visibility: A single view to search, review, and reuse content across regions and brands, eliminating disconnected repositories.
  • Headless Architecture: Combines the flexibility of headless deployments with the governance and control of a centralized system.
  • Embedded Analytics: Performance metrics like views and downloads are displayed directly within Liferay CMS, allowing teams to validate asset performance at the point of work.
  • AI-Assisted Workflows: Accelerates translation, localization, and content review.
  • Multi-Site Management: Ideal for franchises or organizations with multiple digital properties, allowing for centralized control while granting team-specific access.
  • Unified Collaboration: Dedicated ‘Shared with Me’ areas and advanced access controls ensure all stakeholders work from a single source of truth.

The launch of Liferay CMS reflects a modular platform approach designed for organizations that prioritize an API-first strategy. Because it is built on the same core architecture as Liferay DXP, organizations can start with a streamlined headless CMS today and seamlessly activate integrated capabilities like advanced commerce, page building, or AI-driven personalization as their digital requirements expand.

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CLOUDERA ADVANCES HYBRID DATA PLATFORM WITH LONG-TERM STABILITY, ELASTIC SCALE, AND OPEN DATA INTEROPERABILITY

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Cloudera, the only company bringing AI to data anywhere, today announced significant advancements to its hybrid data and AI platform. These updates help enterprises modernize seamlessly, lower infrastructure costs, and accelerate analytics and AI across their entire data estate.

Enterprises face mounting pressure to modernize data platforms while managing cost and risk, creating significant operational strain. As AI investment accelerates, PwC projects that AI could add as much as $320 billion to the Middle East economy by 2030, with the UAE expected to experience the most significant relative uplift, contributing close to 14% of its GDP. Frequent upgrade cycles, rising infrastructure costs, and growing complexity hinder innovation and divert resources from high-value analytics and AI.

Cloudera addresses these challenges by providing long-term stability and a predictable foundation for enterprise data environments. With extended support until 2032 and a unified platform experience across cloud and data centers, organizations can reduce operational overhead and focus on advancing AI initiatives.

These advancements reinforce Cloudera’s position as the only platform to offer long-term stability, elastic scale across cloud and data centers, and open interoperability in a single architecture, without requiring data movement or disruptive migrations.

Key features include:

  • Guaranteed operational stability: Offers a stable, secure foundation for enterprise data environments, allowing organizations to standardize mission-critical infrastructure, reduce risk, and eliminate costly upgrade cycles while aligning platform strategy with long-term investments.
  • Modernize seamlessly: Provides simultaneous updates to on-premises and cloud deployments, ensuring consistency across the entire hybrid data estate. This enables organizations to boost performance and meet changing regulatory requirements without the expense of re-platforming.

The update introduces new capabilities to enhance performance, flexibility, and data collaboration across modern data architectures. Automated optimization of Apache Iceberg tables, powered by Cloudera Lakehouse Optimizer, accelerates query performance and reduces storage overhead with minimal manual effort. Organizations can also scale compute on demand with Cloudera Cloud Bursting, using cloud resources for peak workloads without moving data, improving utilization while maintaining security and governance. Expanded data sharing enables secure access to live Iceberg tables across external platforms without copying or duplicating data, reducing silos and preserving data integrity.

“Our customers no longer accept trade-offs,” said Leo Brunnick, Chief Product Officer at Cloudera. “They want the flexibility of the cloud, the control of the data center, and the ability to scale without disruption. This update delivers all three on a single, unified platform built for modern data and AI.”

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EMARAT SUPPORTS HSE EXPO UNDERSCORING HEALTH, SAFETY AND ENVIRONMENTAL LEADERSHIP

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Emirates Petroleum Company PJSC (Emarat), a pioneer in the UAE’s oil and gas industry, is participating as Official Partner of HSE-Expo 2026, taking place on 1 and 2 April 2026 at Al Jawaher Reception and Convention Centre in Sharjah.

Organised by Sharjah National Oil Corporation and held under the patronage of His Highness Sheikh Sultan bin Ahmad Al Qasimi, Deputy Ruler of Sharjah, Chairman of the Petroleum Department and President of Sharjah National Oil Corporation, the event brings together industry leaders, specialists, researchers, and stakeholders to advance dialogue around health, safety and environmental priorities across the region.

Emarat’s participation reflects the company’s continued focus on strengthening workplace safety, supporting responsible environmental practices, and aligning its operations with recognised regional and international standards. It also reinforces the company’s view that health, safety, and environmental performance is integral to operational excellence, long term resilience and responsible growth across the energy value chain.

Burhan Al Hashemi, Chief Executive Officer of Emarat, said: “At Emarat, health, safety and environment is a leadership priority embedded across every level of the organization. It shapes how we operate, how we invest and how we build a culture of accountability and care. Across our fuel, aviation fuel, lubricants, LPG, and natural gas businesses, HSE is fundamental to operational discipline, business continuity and the trust our customers and partners place in us. Our participation in HSE Expo 2026 reflects our commitment to raising standards, supporting responsible industry practices, and contributing to a safer and more sustainable operating environment.”

Emarat applies health, safety, and environmental discipline across its operations as part of its broader commitment to operational excellence and responsible growth. From frontline safety practices and process discipline to environmental stewardship and continuous improvement, the company views HSE as a business imperative that supports resilience, strengthens trust, and underpins performance across its fuel, aviation fuel, lubricants, LPG and natural gas businesses.

Furthermore, HSE standards are central to every product category Emarat operates in, including LPG. As a provider of composite LPG cylinders, Emarat adheres to global HSE industry standards in this product category among all others, underscoring the company’s commitment to safety and environmental responsibility across all aspects of its business.

Ali AlAstad Alhammadi, Vice President, Health, Safety, Environment and Quality, Emarat, said: “HSE Expo provides an important platform for industry stakeholders to exchange practical insight, share best practice and strengthen collaboration around issues that are central to workforce safety and environmental stewardship. For Emarat, this is an opportunity to engage with the wider HSE community and support continued progress in standards, awareness, and performance across the sector. We are grateful to SNOC for organizing this important platform and we look forward to continued collaboration and future participation”

HSE Expo 2026 serves as an important regional platform for advancing dialogue on workplace safety, environmental responsibility, and industry best practice. By bringing together energy leaders, technical specialists, researchers and stakeholders, the event supports knowledge exchange around the standards and innovations shaping safer and more sustainable operations across the region.

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