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
Abu Dhabi Projects and Infrastructure Centre and PATRIZIA sign strategic partnership to support infrastructure investment and development
The Abu Dhabi Projects and Infrastructure Centre (ADPIC)and PATRIZIA, an investment manager in real assets, have signed a strategic partnership to deepen cooperation around infrastructure investment and project delivery in the Emirate of Abu Dhabi, drawing on PATRIZIA’s wider real assets expertise.
The strategic partnership was signed during the Abu Dhabi Infrastructure Summit (ADIS) International Roadshow at EXPO REAL 2026 in Munich by His Excellency Eng Maysarah Mahmoud Salim Eid, Director General of ADPIC and Hassan Awada, Senior Executive Officer, MENA at PATRIZIA.
ADPIC sits at the centre of Abu Dhabi’s capital-project programme, coordinating planning, governance, and delivery across approximately 500 projects valued at more than AED 200bn, equivalent to more than USD 56bn. The programme spans housing, transport, culture, education, social infrastructure, and the wider urban systems supporting Abu Dhabi’s long-term growth, livability, and economic competitiveness.
The agreement also reflects the wider objective of the ADIS International Roadshow by connecting Abu Dhabi’s infrastructure ecosystem with international partners that bring specialist expertise and long-term capability, while deepening engagement with Germany and Europe. The partnership establishes a framework for PATRIZIA and ADPIC to exchange international expertise and explore areas where private-sector participation can strengthen project delivery and long-term value creation. This includes dialogue around public-private partnership structures, sharing international best practice in infrastructure financing and delivery, and exploring potential investment and co-investment opportunities arising from Abu Dhabi’s capital projects programme.
The two organisations will also cooperate on market insight, benchmarking and technical studies relevant to infrastructure investment and project delivery, while exploring ways to support greater international participation, knowledge exchange, and access to specialist capability across Abu Dhabi’s ecosystem.
H.E. Eng. Maysarah Mahmoud Salim Eid, Director General of ADPIC, said: “Abu Dhabi’s infrastructure programme requires partners that bring proven international capability, market insight, and a long-term commitment. Through this partnership with PATRIZIA, we will explore how that experience can support private-sector participation, strengthen project delivery, and create long-term value. This is exactly the type of practical international cooperation the ADIS International Roadshow is designed to advance.”
PATRIZIA has worked with institutional investors and partners in Abu Dhabi for 15 years, building long-term relationships across the Emirate. The recent establishment of a permanent presence in the Abu Dhabi Global Market (ADGM) marked a further step in that commitment, strengthening PATRIZIA’s ability to work with regional investors and partners and connect them with its international real assets platform.
Asoka Wöhrmann, CEO of PATRIZIA, said: “Abu Dhabi has established itself as an important centre for long-term investment and infrastructure development. Our teams have worked with clients and partners in the Emirate for the past 15 years, and our decision to establish a permanent presence in Abu Dhabi reflects the importance we attach to that relationship. We have seen first-hand the scale of its ambition and the increasingly important role that international expertise and private capital can play. This partnership creates a framework through which PATRIZIA can contribute its experience across real assets while deepening our longstanding relationships in Abu Dhabi.”
Hassan Awada, Senior Executive Officer, MENA at PATRIZIA, said: “Abu Dhabi is developing into a significant market for infrastructure and real assets investment, supported by major infrastructure pipeline and a clear focus on attracting international investment and expertise. Our partnership with ADPIC gives us an opportunity to closely support on delivering these priorities and to explore where PATRIZIA’s international investment capabilities can support the Emirate’s long-term ambitions.”
The agreement reflects PATRIZIA’s wider strategy of combining its established global real assets platform with selective international growth in markets where it has longstanding client relationships and relevant investment expertise.
Tech News
NetApp to Showcase AI-Ready Data Infrastructure as CEO George Kurian Takes the Stage at Ai Everything Abu Dhabi 2026
NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, will exhibit at Ai Everything Abu Dhabi 2026, taking place on October 6 and 7 at ADNEC Centre in Abu Dhabi. The event will also feature George Kurian, Chief Executive Officer of NetApp, who will take part in a fireside chat on the Summit Stage titled, “Can AI Be Trusted? The New Architecture of Sovereign, Secure and Safe AI.” As AI moves from generating answers to taking action across the enterprise, Kurian will explore why trust must extend beyond the model to the data, infrastructure and systems AI can access, as well as the growing importance of security, data sovereignty and governance.
At the centre of NetApp’s presence will be the NetApp Platform, designed to provide enterprises an intelligent, connected, governed foundation that delivers zero-copy access to their data. Customers can quickly and confidently access, manage, and activate their data and be confident it is AI-ready and secure so they can take on the most demanding tasks and solve the most complex problems. In addition to being available on-premises, the NetApp Platform is natively embedded in the world’s largest public clouds. As organizations move AI initiatives from experimentation into production, having data that is accessible, governed and protected becomes increasingly important to scaling AI securely and efficiently.
“Abu Dhabi’s ambition to become an AI-native government reflects a broader shift we are seeing across the Middle East, where AI is rapidly moving from experimentation to large-scale deployment. But scaling AI is ultimately a data challenge. Organizations need trusted, secure and accessible data wherever it resides. The NetApp Platform provides the foundation customers need to build Intelligent Data Infrastructure that enables them to move from AI ambition to real business outcomes, securely and at scale.” said Suhail Hasanain, Senior Director and General Manager, MEA at NetApp
During the two-day event, NetApp’s regional and global experts will engage with industry leaders, partners and customers on building AI-ready infrastructure and addressing the data and infrastructure challenges that can prevent AI projects from progressing into production.
Visitors will have an opportunity to hear the latest developments from NetApp INSIGHT 2026 in Las Vegas, one of the company’s key events focused on tackling today’s biggest AI and technology challenges with intelligent data infrastructure.
Tech News
Optro Establishes UAE Hub to Support Rapid Transition to Agentic GRC Across the Middle East

Optro, the leading AI-powered GRC Intelligence Platform, today announced its expansion into the United Arab Emirates (UAE), establishing Dubai as the company’s newest regional center. The move represents a major step forward in serving global GRC teams and providing localized support for its rapidly growing customer base across the Middle East and North Africa (MENA) region. The announcement was made at the 2026 CAE Conference in Abu Dhabi, United Arab Emirates.
The expansion comes at a historic inflection point for technology governance in the region. Under the “UAE Government 4.0” directive of the UAE National Strategy for Artificial Intelligence 2031, federal institutions are tasked with converting 50 percent of government sectors, services, and operations to autonomous Agentic AI models within a two-year timeline. As non-human agents gain authority to execute workflows, invoke APIs, and issue binding administrative decisions, enterprise and public-sector audit, risk, compliance, and infosec teams are facing unprecedented operational, cybersecurity, and regulatory complexities.
With strict regulatory frameworks taking shape, including Central Bank of the UAE (CBUAE) AI & ML Guidance, the UAE National AI Policy & Ethics guidelines, the Federal Personal Data Protection Law (PDPL), and Cybersecurity Council/NESA standards, demand is surging for connected, real-time approaches to audit, risk management, data sovereignty, and non-human access control. Optro is built specifically for this paradigm shift. By deploying agentic AI tailored to regional frameworks, Optro gives local practitioners an unmatched ability to execute continuous risk assessments, manage non-human access identities, and automate live compliance mapping against evolving UAE regulations.
“Enterprises and public sector organizations across the Middle East are setting a global benchmark for autonomous innovation,” said Raul Villar Jr., Chief Executive Officer at Optro. “However, deploying agentic AI at scale requires a corresponding evolution in control and assurance. By establishing our regional hub in the UAE, we are delivering the localized presence, partner network, and agentic GRC tools required to help organizations govern autonomous operations, protect data sovereignty, and turn regulatory compliance into a competitive advantage.”
“Internal Audit and GRC functions are playing an increasingly strategic role in helping organizations strengthen resilience, enhance governance, and respond to emerging risks,” said Fady Nader, EY MENA Risk Consulting Partner. “As organizations continue to embrace digital transformation and AI-enabled ways of working, there is a growing need for integrated assurance and timely risk insights. We are pleased to collaborate with Optro in supporting organizations across the region as they evolve their governance, risk and assurance capabilities and adapt to an increasingly dynamic business environment.”
“Our alliance with Optro reflects Deloitte’s commitment to helping clients modernize their control environments,” said James Smith, Controls Assurance Leader at Deloitte Middle East. “Optro’s investment in regional data hosting is another important step and demonstrates their long-term commitment to the region and we are proud to partner with them.”
Optro’s expansion into the UAE follows the company’s recent launch of its Asia-Pacific (APAC) regional hub in Singapore, announced at The Institute of Internal Auditors (IIA) International Conference in June. Earlier this year, Optro also acquired Midship — the premier AI-native autonomous controls testing solution — delivering highly governed, enterprise-grade AI agents to Optro’s customers and prospects, enabling Optro to rapidly scale across global innovation centers, helping risk, compliance, and audit teams modernize operations and navigate complex regulatory environments in real time.
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