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Unlock Business Value with GenAI Through a Data Semantic Approach

Published

11 months ago

October 7, 2025

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.

Check out our previous post NMK Interactive 2025 Sets New Middle East AV Benchmark

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Anomali to Address the Next Phase of AI-Led Cyber Defense at GISEC 2026

Published

1 day ago

September 4, 2026

Integrator Web-Editor

Anomali, the leading global Managed Intelligence and Agentic SOC platform, announced its participation at GISEC Global 2026, taking place through 16-18 September at Dubai Exhibition Centre (DEC), Expo City.

The company’s discussions at GISEC will center on Autonomous SOC with Governed AI, Agentic AI, Actionable Threat Intelligence and Unified Security Data Lake capabilities that are changing the manner in which security teams investigate threats, manage workflows and make decisions.

Samer Jadallah, Vice President, Middle East & Africa at Anomali, will represent the company at GISEC and will focus on the growing impact of AI on both attackers and defenders, emerging shifts in the threat landscape, including the need to counter CEO impersonation attacks as well as key challenges facing modern security teams. He will also highlight AI’s role is helping organizations respond more effectively to evolving threats, Anomali’s commitment to the region and ongoing product innovation and plans to expand adoption of the Anomali platform across global enterprises and government organizations.

A key focus at this year’s event will be the changing nature of cyberattacks. As threat actors promptly adopt AI to scale campaigns and further accelerate attacks, security operations centers (SOC) are under growing pressure to process rising volumes of alerts with limited resources. To help with this, Anomali will demonstrate how AI can support analysts in multiple ways like surfacing higher- value insights, reducing manual effort and enabling quicker, informed responses.

Visitors can find Anomali at Booth E156 and Booth A80.

Event: GISEC Global 2026
Booths: E156 and A80
Location: Dubai Exhibition Centre (DEC), Expo City
Dates: 16 th to 18 September 2026
Time: 9:00 am to 5:00 pm GST

Tech News

HONOR BRINGS ITS ALPHA PLAN TO LIFE AT LEAP 2026 WITH THE WORLD’S FIRST ROBOT PHONE AND RENEWED “DARE TO BE” BRAND DIRECTION

Published

2 days ago

September 3, 2026

Integrator Web-Editor

HONOR, a global leading AI device ecosystem company, concluded its participation at LEAP 2026, bringing its “ALPHA PLAN: From Vision to Reality” to life through the world’s first Robot Phone, advancements in robotics, cinematic imaging and connected AI experiences. The participation also marked HONOR’s renewed “Dare to Be” brand direction reflecting its continued transformation from a company predominantly known for smartphones into a broader global AI device ecosystem company.

Commenting on the participation, Lei Kunming, CMO HONOR Middle East & Africa said, “LEAP 2026 showed how HONOR’s ALPHA PLAN is moving from vision to reality. From the world’s first Robot Phone and Robotics to our connected ecosystem, we demonstrated how AI can work more naturally around people.” He added “Our ‘Dare to Be’ direction gives that transformation a stronger identity, with Saudi Arabia remaining central to our growth in AI and digital innovation.”

Bringing the HONOR Booth Experience to Life

Visitors explored HONOR’s expanding ecosystem through interactive experiences spanning sports, gaming, smart office, learning and everyday scenarios.

The booth demonstrated how smartphones, PCs, tablets, wearables and other smart devices can work together to deliver more seamlessly, across work, entertainment, sports and health, reflecting the ALPHA PLAN’s ambition to create a more intelligent, connected and human-centric ecosystem around the user.

Introducing the World’s First Robot Phone

At the centre of HONOR’s showcase was the world’s first Robot Phone, a defining proof point of the ALPHA PLAN and a new category combining AI, robotics and cinematic imaging.

Its integrated robotic gimbal can move, track subjects and respond to its surroundings, enabling more intuitive and proactive content creation. LEAP also marked the Robot Phone’s reveal for the Middle East and Africa, making the region the first overseas market to experience the new category.

HONOR also highlighted its collaboration with ARRI, bringing more than 100 years of professional cinema and image science expertise together with HONOR’s AI and robotics capabilities to make cinematic content creation more accessible to everyday users.

Advancing a Future Built on Human and AI Collaboration

Beyond the Robot Phone, HONOR showcased its ambitions in robotics through HONOR Robotics D1, reinforcing its vision of a future shaped not by humans competing against AI, but by humans working with AI to achieve more. The company also explored the future of AI devices and robotics through its LEAP keynote and panel discussions.

Entering a New “Dare to Be” Era

Reflecting this evolution, HONOR’s renewed“Dare to Be” direction reflects its evolution beyond individual devices towards an open AI ecosystem connecting technologies, industries and lifestyles. Supported by innovations including Agentic OS and AiMAGE, HONOR’s journey progresses from an intelligent phone to an intelligent ecosystem and, ultimately, an intelligent world.

Driving Growth Across MEA

HONOR entered LEAP with strong regional momentum. In H1 2026, the company grew by 35% while the Middle East smartphone market declined by 13%, making HONOR the only leading smartphone brand in the region to grow and the second-largest smartphone brand in the Middle East. This followed 73% year-on-year growth in Q1 2026.

Within this regional growth, Saudi Arabia remains a particularly important market for HONOR, supporting the company’s broader ambitions across AI devices and its connected ecosystem.

Strengthening HONOR’s AIoT Presence in Saudi Arabia

As part of this momentum, Saudi Arabia remains a strategic market for HONOR and an important part of the ALPHA PLAN. The Kingdom is now HONOR’s number one tablet market by share, while its AIoT business has grown by more than 500% and HONOR Earbuds Clip has surpassed 100,000 units sold locally.

Building on this strong foundation, HONOR continues to strengthen its presence through retail, after-sales, local partnerships and deeper engagement with the Kingdom’s technology ecosystem.

Tech News

greytHR expands agentic AI-powered HR execution across Middle East region with greytHR NAVOS

Published

2 days ago

September 3, 2026

Integrator Web-Editor

greytHR, a leading full-suite Human Resource Management System (HRMS) platform, launched greytHR NAVOS across the Middle East region, bringing agentic AI competencies directly into its platform. The new capability enables HR teams to find information, navigate workflows, while completing authorised HR activities through simple, natural-language commands.

The Middle East rollout comes as agentic AI begins to reshape HR functions globally. According to McKinsey’s August 2026 research on the agentic era of HR, roughly two-thirds of today’s HR activities, including recruitment, payroll, onboarding and benefits administration, could be largely automated by 2030.

Unlike conventional AI assistants that primarily focus on answering questions, greytHR NAVOS follows an execution-first approach, helping users move from finding information to initiating and completing supported HR actions. Its three core functions – Navigate, Operate, and Support – enable information and workflow discovery, authorised action execution and contextual guidance.

Girish Rowjee, Co-founder & CEO of greytHR, said: “We have evolved from a system that you work on, to a platform that works with you. As a full-suite HRMS, greytHR already connects the entire hire-to-retire lifecycle across key HR operations. With the launch of greytHR NAVOS, we are adding an agentic AI layer across this connected ecosystem, enabling users to manage everyday HR activities through conversational commands rather than searching through multiple menus or disconnected tools. Furthermore, greytHR NAVOS works within each organisation’s existing security and access controls, reducing administrative friction and accelerating everyday HR execution.”

greytHR NAVOS supports a wide range of workflows across core HR, leave and attendance, workforce management, performance management, recruitment, platform navigation and support. HR teams can use the capability to update employee information, generate and publish letters, access attendance records, manage leave and regularisations, support performance reviews, search for job openings and candidates, handle recruitment approvals and generate hiring content.

Based on early greytHR NAVOS usage in comparable markets, HR administrators have reported productivity savings of approximately five hours per week by replacing repetitive manual workflows with conversational requests. In one practical example, an attendance-muster export that previously required around five separate steps can be completed through a natural-language prompt in approximately 10 seconds. By simplifying routine processes and reducing time spent on software interfaces, greytHR NAVOS enables HR professionals to devote more time to employee engagement, workforce planning and strategic decision-making.

greytHR NAVOS operates within each organisation’s existing role-based access control (RBAC) system, ensuring that access to employee information and platform actions remains aligned with individual user roles and permissions. Moreover, sensitive or irreversible actions require explicit human confirmation before execution. The platform also maintains a traceable audit record of AI-assisted activity, including the initiating user, timestamp, prompt and action details. Meanwhile, greytHR’s established privacy, security, and governance framework extends to greytHR NAVOS, including alignment with SOC 2 Type II, ISO 27001:2022, and GDPR frameworks, supported by human oversight.

The new capability is available across all paid greytHR plans, including essential, growth, and premium, with no per-seat AI fees, usage caps or separate purchase required.

The launch showcases the evolution of HRMS platforms from traditional systems of record towards systems of action, where technology can understand user intent, identify the relevant workflow and support the execution of the next authorised step.

greytHR currently supports over 34,000 organisations and 3.5 million users across over 30 countries, providing a strong foundation for expanding its agentic AI capabilities across the Middle East region. With greytHR NAVOS, the company is helping regional businesses simplify HR administration and narrow the gap between intent and execution.