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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.

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

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FVC and SearchInform Join Forces to Boost Insider Threat Prevention and Data Protection in MENA

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FVC and SearchInform Join Forces to Boost Insider Threat Prevention and Data Protection in MENA

FVC, a prominent distributor specialising in innovative technology solutions, is pleased to announce its strategic partnership with SearchInform, a leader in information security and insider threat prevention solutions. Together, they are committed to strengthening organizations’ defenses against data leaks, corporate fraud, human-factor related risks.

K.S. Parag, Managing Director, FVC:

“We are excited to welcome SearchInform to our cybersecurity portfolio. The company offers the most powerful and localized DLP on the MENA market. SearchInform solution stands out from the competition due to a number of advantages. The system can be deployed within a few hours, protects the maximum number of data transfer channels, provides smart content-based blocking for all controlled channels and also use digital watermarks to trace the source of potential leaks. SearchInform DLP supports analysis of data in Arabic and has security policies, tailored for requirements of local organizations, enabling timely detection and prevention of confidential data leaks. The solution leverages AI to monitor atypical data transfer channels, recognize graphic elements, transcribe audio into text, detect attempts to photograph PC screens with smartphones.”

SearchInform offers a range of products, including DCAP, DLP, and SIEM. All the tools are seamlessly integrated. Technical support is provided through a specialist assigned to the company, who has extensive experience thanks to clients from various fields.

Commenting on the Partnership, Artem Volodin, CEO SearchInform MENA, stated:

“We are proud to collaborate with FVC, whose expertise in the Middle Eastern market will strengthen our efforts to combat insider threats and data leaks. The region needs a comprehensive solution that will enable organizations to meet regulatory standards, including SAMA, PDPL, DCC, ECC, UAE Information Assurance (IA) Regulation etc. and global ones, such as GDPR, PCI DSS. SearchInform delivers tools for data protection and risk mitigation across all levels: FileAuditor secures file systems, DLP covers workstations and human risks, Risk Monitor addresses corporate fraud, and SIEM protects IT infrastructure.”

The partners are currently conducting expert training, partner enablement sessions, and are also negotiating the implementation of SearchInform products in local companies.

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Etihad Salam and AFR-IX telecom Join Forces to Boost Intercontinental Digital Links Across Europe, Middle East, and Africa 

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Etihad Salam and AFR-IX telecom Join Forces

Etihad Salam, a premier telecommunications and digital infrastructure company in Saudi Arabia, has entered into a strategic with AFR-IX telecom, an infrastructure and telecom operator and the developer and operator of the Medusa Submarine Cable System.

This collaboration aims to elevate digital connectivity spanning Europe, North Africa, the Middle East, Gulf Cooperation Council (GCC) countries, and Asia.  Through this agreement, Etihad Salam becomes the primary landing and interconnection hub for the Medusa system within Saudi Arabia through Aqaba (Jordan), solidifying the Kingdom’s position as a pivotal digital gateway connecting Asia, Europe, and Africa.

The partnership introduces resilient, high-bandwidth, and low-latency pathways from the Mediterranean to the Arabian Peninsula, fostering expansion for hyperscale data centers, cloud service providers, and digital operators throughout the region. 

With this partnership, Etihad Salam will deliver terrestrial backhaul services and capacity swapping to seamlessly incorporate Medusa’s network into Saudi Arabia and the broader GCC, and onward to Asia. This initiative represents a significant advancement in Etihad Salam’s global cable strategies and underscores its dedication to Saudi Vision 2030’s goals for digital innovation and economic diversification. 

Medusa Submarine Cable System is an 8,760 km undersea cable network linking critical points in the Mediterranean, such as Spain, France, Italy, Malta, Greece, Cyprus, Morocco, Algeria, Tunisia, Libya and Egypt. Engineered for high-speed, reliable data transfer between Europe, North Africa, and the Middle East, Medusa delivers up to 480 Tbps of capacity, serving as a vital conduit for surging intercontinental data flows. 

Quote from Salam

“Our partnership with Medusa underscores Salam’s commitment to positioning Saudi Arabia as a central hub for regional connectivity,” stated Amjad Arab, Chief Wholesale and Alliances Officer at Etihad Salam. “By linking the Medusa cable to our robust infrastructure, we’re creating innovative international routes that expand our worldwide presence and meet the surging needs for digital and cloud services in the Kingdom. Through this partnership, we seek to offer enriched connectivity services, experiences and bring the world closer, ultimately empowering businesses to scale and innovative in an increasingly digital landscape.” 

Quote from AFR-IX telecom

“We’re excited to collaborate with Etihad Salam, whose expertise and network complement our objective of providing secure, expansive, and high-performance connectivity from the Mediterranean outward,” said Norman Albi, Chief Executive Officer of AFR-IX. “This partnership elevates reliability and coverage for carriers worldwide, driving forward digital advancement across Europe, Africa, and the Middle East.” 

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Infinia Technologies and Satya Retail Launch AI and Blockchain-Powered Retail Transformation at GITEX 2025

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  • Revolutionizes India’s retail market by empowering merchants with first time real use case of AI and Blockchain
  • SAII is a world’s first initiative set to turn millions of low-tech, high-potential neighbourhood retailers into a data-rich, AI-enabled commerce network



Infinia Technologies, a subsidiary of Sirius International Holding, announced a strategic partnership with Satya Retail, a DS Group affiliate, at GITEX Global 2025, the world’s largest technology and innovation event in Dubai. Through this collaboration, Infinia Technologies aims to leverage its advanced AI operating ecosystem to power Satya Retail’s merchant network with AI-driven analytics, blockchain-based invoicing, and digital financial tools, transforming India’s retail landscape.

By combining Infinia Technologies’ AI and blockchain infrastructure with DS Group’s unmatched distribution expertise and Satya Retail’s deep merchant network, this initiative will create an intelligent, scalable, and inclusive retail ecosystem designed to empower millions of small businesses across the country. The official signing took place today at GITEX Global 2025, in the presence of Arif Khan, CEO of Infinia Technologies, along with Ritesh Kumar, Director at DS Group.

The collaboration marks the launch of SAII – Smart AI Integrator, a world’s first initiative that turns millions of low-tech, high-potential neighbourhood retailers into a data-rich, AI-enabled commerce network. Branded as “The Digital Saathi for Merchants,” SAII provides a single platform for all merchant needs; from blockchain-based e-invoicing and micro-financing to insurance, hyperlocal advertising with two-way data transfer for merchants and vendor network.

For the first time, India’s retailers will receive access to powerful digital capabilities at scale through SAII. It will help merchants operate smarter, improve efficiency, and build deeper partnerships across the supply chain.

Commenting on the announcement, Arif Khan, CEO of Infinia Technologies, said: “This partnership represents a defining moment in how AI and Blockchain can drive real-world impact. This collaboration will positively accelerate India’s digital economy. Through SAII, we’re enabling millions of India’s retailers to access intelligent tools and digital services that were once out of reach, while advancing our mission to take advanced AI from Abu Dhabi to the world. This is only the beginning; we plan to extend the SAII model across Asia, the Middle East, and North Africa, with more projects to be announced soon.”

Ritesh Kumar, Director at DS Group added: “Our collaboration with Infinia Technologies brings together the strength of our retail network and their AI innovation to empower small businesses across India. SAII will help local merchants modernize their operations, access financial and digital tools seamlessly, and become part of a larger connected commerce ecosystem. This is a major step toward building a more inclusive and technology-driven retail economy.”

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