Tech News
Unlock Business Value with GenAI Through a Data Semantic Approach
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
Tech News
Holcim Appoints Rozhgar Barzan as CEO for UAE and Oman

Holcim, a global leader in innovative and sustainable building solutions, has appointed Rozhgar Barzan as Chief Executive Officer for its UAE and Oman operations. Barzan brings 17 years of experience within the Holcim Group to the strategic leadership role.
Having joined Holcim in 2009, Barzan has held key executive positions across the business, accumulating deep expertise in operational management, commercial strategy, and business growth across regional markets. Most recently, he served as General Manager of Ready-Mix Oman, following his tenure as Commercial Director in Iraq. In his new role, Barzan will drive Holcim’s strategic growth and operational portfolio across the UAE and Oman, accelerating the adoption of sustainable construction practices across the region. Amongst his priorities will be delivering holistic building offerings, including low-carbon cement and low-carbon concrete ranges, and scaling circular construction initiatives. Additionally, he will focus on advancing operational transformation by integrating AI and digital technologies under Holcim’s global Plants of Tomorrow program.
These priorities reinforce Holcim’s commitment to delivering progress for people and the planet by offering innovative, sustainable solutions tailored to the region’s expanding infrastructure and climate targets. Notably, this includes Holcim’s ongoing industrial carbon capture and underground mineralisation pilot in Fujairah, advancing pioneering technologies to eliminate industrial emissions.
Commenting on his appointment, Rozhgar Barzan, CEO of Holcim UAE and Oman, said: “I am honored to take on the leadership of Holcim UAE and Oman at such a pivotal moment for the regional building sector. As both markets accelerate their investment in sustainable infrastructure and Net Zero ambitions, Holcim has a strong opportunity to deepen its role as a trusted partner to our clients and communities. By integrating AI across our operations and scaling our holistic, low-carbon building solutions, we remain dedicated to advancing sustainable growth, driving circularity, and delivering progress for people and the planet.”
Barzan succeeds Ali Said, who led Holcim UAE through a period of significant strategic development and key sustainability milestones. This appointment reinforces Holcim’s commitment to operational excellence, continuous innovation, and sustainable development across the Middle East.
Tech News
SICO Capital Appoints Ali AlFaraj as Head of Information Technology
SICO Capital, a leading provider of asset management, brokerage, investment banking and fund services in Riyadh and licensed by the Saudi Capital Market Authority, has appointed Ali AlFaraj as Head of Information Technology, effective 25 October 2026.
The appointment reflects SICO Capital’s continued investment in its technology and operating platforms. Mr. AlFaraj will oversee the firm’s infrastructure, business systems, technology implementations, and client platforms, with a focus on operational resilience and regulatory alignment.
A specialist in technology governance and implementation, Mr. AlFaraj has more than 12 years of experience in the banking and capital markets sectors across the GCC. Most recently, he was Head of Information Technology and Administration at GIB Capital, where he built the company’s IT function and led the launch of its brokerage and electronic trading platforms. He holds a Bachelor of Science in Computer Science from the University of Bahrain, as well as relevant professional certifications.
“Technology is central to our ability to grow and deliver an increasingly seamless experience for our clients,” said Wissam Haddad, Chief Executive Officer of SICO Capital. “Ali brings extensive experience in technology leadership and the implementation of client-facing platforms within the financial sector. We are continuing to invest in our technology in Saudi Arabia with new and ongoing implementations including our order and asset management systems, client relationship management (CRM), and artificial intelligence platforms.”
Ali AlFaraj commented, “Technology plays a vital role in how SICO Capital serves its clients and continues to strengthen its presence in the Saudi market. I look forward to working alongside the team to further advance our technology infrastructure and digital capabilities, while upholding rigorous standards of reliability, security, and service excellence. It is a privilege to contribute to SICO Capital’s continued growth as the Kingdom’s financial sector evolves under Vision 2030.”
Tech News
Data Center World makes its Middle East debut as AI infrastructure build-out accelerates
Data Center World, the premier global event for data centre IT infrastructure and innovation for more than four decades, will hold its first Middle East edition in the UAE capital, bringing together the people who build, power, finance and regulate the region’s AI infrastructure.
Building on the success of it’s flagship US conference, Data Center World Middle East, running from 17-18 November, follows the launch of events inAustralia, Latin America and Europe in 2026, reflecting rising global demand for digital infrastructuredriven by AI adoption, cloud growth and surging data consumption.
Organised by inD – an Informa/DWTC company – the event puts delegates in the same room as the UAE Ministry of Energy and Infrastructure, the UAE Ministry of Investment and the companies building and running Gulf capacity, including Khazna Data Centers, Core42 and Tabreed. Hyperscalers AWS, Google and Oracle, and AI computing leader NVIDIA, complete a line-up that pairing senior industry voices with deep technical expertise.
The event at the Dusit Thani Abu Dhabi coincides with a sharp rise in regional capacity. Omdia, the technology research and advisory group within Informa TechTarget, identifies the Middle East as the world’s next data centre hot spot. It estimates the region added 1GW of new IT capacity in 2025, with data centre IT capacity compounding at almost 25% a year.
Efficiency is also becoming a priority as capacity scales. The Ministry of Energy and Infrastructure and Khazna Data Centers have launched a pilot to cut energy use in data centers and district cooling systems, with the technology claimed to reduce cooling-related consumption by up to 40%.
Eng. Mozah Alnuaimi, Chief AI Officer, UAE Ministry of Energy and Infrastructure, a speaker on the opening panel, said: “Every megawatt saved in cooling is a megawatt of compute the grid does not have to build for. In our climate, water efficiency and energy efficiency are the same discipline: liquid cooling, closed-loop systems, and clear intensity requirements. Through the Global Cooling Pledge and the Ministry’s planning tools, we are treating data centres as a national efficiency opportunity, not only a load, so growth in AI strengthens the system rather than strains it.”
The UAE is at the centre of that growth aiming to double the digital economy’s contribution to GDP, from 9.7% to 19.4%, within a decade. In Abu Dhabi, the Department of Government Enablement’s AED 13 billion digital strategy targets full migration to sovereign cloud on the way to an AI-native government by 2027, supported by a Unified Government Data Centre. Khazna, meanwhile, is building G42’s 1GW Stargate UAE cluster with partners including OpenAI, Oracle, NVIDIA, Cisco and SoftBank.
Sean James, Distinguished Engineer – Energy Systems, NVIDIA, said: “AI load does not behave like the load utilities planned for. I watched other markets pay for that lesson. Hundreds of megawatts moving in seconds is a power quality problem before it is a capacity problem. Solve it inside your own fence, with storage and controls. The same batteries that smooth your load can hand the utility ride-through and voltage support back. Then the interconnection conversation shifts from whether to when.”
Tara Gibb, Senior Event Director for Data Center World, said: “Data Center World goes where the industry is building, and the Gulf is now one of its most important growth markets. For the first time in the region, the operators building Gulf capacity, the hyperscalers and two federal ministries share one programme. The programme moves from market outlook to closed-door technical workshops, so delegates leave with clear priorities and the right contacts to move their projects forward.”
Day one opens with a panel on the risks and realities of the Gulf’s 3GW target for AI, power and sovereign demand. A Market Outlook 2030 session will assess where growth is most investable across the UAE, Saudi Arabia, Oman, Qatar and Bahrain.
The programme runs across keynote, conference and technical tracks, with closed-door workshops on AI hall design, cooling and electrical design for AI loads, built for people running data centres in 50°C conditions
The headline sponsor is Midea Building Technologies, the building and data centre cooling division of Midea Group, with Marwan AlObaidi, Regional Director – Data Centers & Applied Systems, among the speakers. Enover and E-kerno are Gold Sponsors with Endress+Hauser as Silver Sponsors.
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