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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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Redington Brings 400 Technology Leaders to Singapore as a Technology Ecosystem Orchestrator

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Redington Limited, a technology ecosystem orchestrator, today announced Global NEXT 2026, its flagship, invitation-only leadership summit, taking place from 2–4 September 2026 in Singapore.

The three-day forum will bring together approximately 400 leaders representing global technology companies, channel partners, enterprise customers, independent software vendors, innovators and policymakers from across Asia, the Middle East and Africa.

More than a technology conference, Global NEXT is designed as a working ecosystem-connecting the organisations creating breakthrough technologies with the partners who can localise and implement them, the enterprises seeking measurable outcomes, and the leaders shaping the future of high-growth markets.

The summit comes at a pivotal moment for artificial intelligence. Enterprises, SMBs and Public Sector are moving beyond experimentation and asking a more consequential question: how can AI be deployed securely, governed responsibly and scaled to deliver meaningful business, economic and societal impact?

At the centre of the programme will be the Global NEXT AI Summit, addressing sovereign AI, national technology infrastructure, data governance, cybersecurity, enterprise adoption and the partnerships required to build locally relevant technology capabilities at scale.

From Fragmented Innovation to Orchestrated Outcomes

The next phase of AI adoption will require much more than access to individual technologies. Infrastructure, cloud, data, cybersecurity, applications, skills, services, financing and implementation capabilities must work together around clearly defined outcomes.

Redington’s role as a Technology Ecosystem Orchestrator is to make those connections work-linking global innovation with local market intelligence, specialised capabilities, partner reach and execution across more than 40 markets.

V.S. Hariharan, Managing Director and Group CEO, Redington Limited, said:

“The next chapter of technology will not be shaped by one product, one platform or one company. It will be built by ecosystems.

“Customers need infrastructure, cloud, cybersecurity, software, data, skills and specialised partners to come together around the outcomes they want to achieve. Redington’s role is to orchestrate these capabilities-reducing complexity, connecting global innovation with local execution and creating a clearer path from possibility to adoption.

“This is especially important across high-growth markets, where ambition is immense but access to technology, capabilities and skills can remain fragmented. Global NEXT brings the ecosystem together to turn that ambition into secure, scalable and measurable progress.”

Participants will experience this orchestration model through technology demonstrations, enterprise use cases, leadership exchanges and visits to centres of excellence in Singapore, including the Redington AI Launchpad.

The programme will also showcase emerging technology companies and specialist ISVs across AI, cloud, cybersecurity, data infrastructure and enterprise applications. Redington’s wider ecosystem-including its AI Exchange, digital platforms, skilling capabilities and partner enablement programmes-will demonstrate how innovation can be discovered, evaluated, localised and taken to market more rapidly.

Creating New Pathways to Growth

For global technology companies, Global NEXT provides direct access to enterprise priorities, partner capability and growth opportunities across diverse markets.

For partners and ISVs, it creates pathways to new technologies, skills, use cases, customers and routes to market.

For enterprises and governments, it brings together an ecosystem through which complex technologies can be evaluated, secured, financed, implemented and scaled.

Puneet Chadha, Global Chief Marketing Officer, Redington Limited, said:

“Global NEXT is where global innovation meets local ambition. It puts the people shaping technology, building capability and solving real-world problems in the same room.

“The measure of this platform will not simply be the conversations it hosts, but the partnerships it starts, the use cases it advances and the opportunities it unlocks. We want participants to leave Singapore with more than inspiration-with new connections, actionable possibilities and a clearer path to what comes next.”

The Global NEXT programme will combine strategic conversations with practical engagement, including technology demonstrations, enterprise success stories, ecosystem panels, leadership exchanges and visits to technology centres of excellence.

Discussions will span artificial intelligence, hybrid cloud, cybersecurity, software-led business models, responsible technology adoption and the evolution of routes to market. Together, these sessions will explore how the technology industry can move from selling individual solutions to orchestrating integrated outcomes.

With operations across more than 40 markets, relationships with 450+ technology brands and a network of over 70,000 channel partners, Redington sits at the intersection of global technology innovation and local execution.

Through Global NEXT 2026, Redington aims to strengthen that intersection-creating a platform where technology providers, partners, innovators, enterprises and policymakers can collectively shape the next phase of technology adoption across Asia, the Middle East and Africa.

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NETSCOUT EXTENDS ADAPTIVE DDOS DEFENSE PROTECTION TO ADDRESS THE RISING BUSINESS COST OF WEAPONIZED BROADBAND AND IOT DEVICES

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NETSCOUT® (NASDAQ: NTCT), a leading provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, today announced an extension of its Adaptive DDoS Protection (ADP) solution enabling service providers to automatically detect and mitigate outbound DDoS attack traffic. By extending protection from the attack target towards its source, NETSCOUT helps operators prevent compromised subscriber devices from disrupting their own networks, consuming costly capacity and attacking customers and organizations across the internet.

Consumer broadband routers, cameras and other IoT devices are increasingly being weaponized by Turbo-Mirai class botnets capable of generating multi-terabit attacks. These outbound attacks have already caused costly service outages, reputational damage and customer loss, and damage to peering relationships risking a large increase in transit costs at service providers around the world. By detecting and mitigating malicious traffic generated by compromised device populations before it leaves their networks, service providers can reduce abuse complaints and infrastructure costs while protecting their own networks and services and helping lower subscriber churn and regulatory risk.

“The combination of higher-speed broadband connectivity and vulnerable IoT devices has been weaponized by a new class of massive DDoS botnets,” said Patrick Donegan, founder and principal analyst, HardenStance. “Source-side mitigation, or attack suppression as it’s sometimes known, is a critical part of the equation. NETSCOUT’s approach, backed by its ATLAS Intelligence Feed (AIF) and ASERT analysts, gives service providers the tools they need to detect and stop attacks before they have an impact, protecting their customers and the broader internet from the large-scale DDoS attacks we have seen.”

Using AI-powered threat intelligence and automated detection and mitigation, NETSCOUT’s ADP solution, an addition to its Arbor Sightline and Arbor Threat Mitigation System:

  • Automatically detects and mitigates ever evolving attacks through dynamic detection, intelligent redirection and adaptive mitigation.
  • Extends these capabilities to outbound traffic, combining enhanced, customized detection with comprehensive threat intelligence tailored for each ISP.
  • Uses NETSCOUT’s proprietary AI/ML-powered DDoS detection to analyze massive volumes of outbound internet traffic to uncover attacks designed to hide within legitimate flows.
  • Draws on unique global real-time intelligence of DDoS activity covering approximately half of all internet traffic to rapidly detect and mitigate DDoS attacks and pinpoint the responsible, compromised devices.

“We are extending DDoS defense from the target to the source,” stated Darren Anstee, CTO, Security, NETSCOUT. “By using our internet-scale visibility to derive localized threat intelligence for our customers, NETSCOUT can identify and precisely suppress attacks at their origin, before they cause problems locally or at their target. This capability gives our customers a new level of comprehensive defense across their peering, transit, cloud and customer edges.”

This expansion of capabilities demonstrates how NETSCOUT is applying its global threat visibility and proven ADP solution to meet emerging service provider challenges. By extending an established inbound DDoS workflow to outbound and cross-bound threats, NETSCOUT enables operators to improve network-resilience, cost-controls and revenue protection through its proven Arbor Sightline and Arbor TMS solutions.

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Illumio Named Leader and Customer Favorite in Forrester Wave for Microsegmentation

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Illumio Inc., the breach containment company, today announced it has been named a leader in The Forrester Wave™: Microsegmentation Solutions, Q3 2026  report. Illumio received the highest scores among all evaluated vendors in both the Current Offering and Strategy categories and was named a “Customer Favorite” for its outstanding customer feedback among evaluated vendors. According to the report, “Repeat customers indicate their satisfaction with the consistently high quality of technical support, regardless of the personnel assigned to their account.”  

The report evaluated 10 microsegmentation providers against a comprehensive set of criteria covering product capabilities, strategy, innovation, and customer experience. Illumio received the highest scores possible in 10 evaluation criteria, including areas related to visualization, host-based enforcement, product security, vision, and innovation. According to the report, “Illumio excels at essential microsegmentation functions.”

“Illumio was founded on a simple belief: breaches are inevitable, but cyber disasters are not. We have been singularly focused on one objective — reducing lateral movement and attack surface, and increasing resilience in every organization,” said Andrew Rubin, CEO and Founder of Illumio. “Being named both a Leader and a Customer Favorite reflects to us the strength of our technology, vision, and even more importantly our ability to deliver real outcomes and risk reduction, which is the foundation of the trust our customers place in us every day. In the model threat world we are all now entering, defense must be coupled with resilience. Recovery is the new defense — and the new cyber.”

According to the Forrester Research report, “Organizations with large, heterogeneous environments focused on improving cyber resilience should consider Illumio.”  The report also recognized Illumio for:

  • “Illumio has articulated a vision for microsegmentation as a core element of security operations.”
  • “Illumio is bridging the gap between its traditional users and other parts of the security organization by delivering agents mapped to personas from other teams.”
  • Its UI provides easy access to information that supports both access control and incident response use cases.”

The recognition follows continued innovation across the Illumio Platform, including Network Posture, which helps organizations understand security posture based on real-world traffic and prioritize risk reduction efforts. These capabilities support the growing need for visibility, cyber resilience, and regulatory readiness across complex hybrid and multi-cloud environments.

Designed for operational simplicity, the Illumio Platform combines Illumio Insights and Illumio Segmentation to help organizations identify, assess, and contain cyber risk across hybrid and multi-cloud environments. Security teams can uncover high-risk exposures, visualize potential attack paths, and implement segmentation policies from a single platform to contain threats and improve cyber resilience.

The platform is trusted by some of the world’s largest organizations, including BNP Paribas, eBay, and Microsoft, the latter of which has deployed Illumio Insights and Illumio Segmentation across its entire corporate IT environment. Igor Tsyganskiy, Global CISO of Microsoft, said: “When we needed to bring these capabilities into Microsoft, Illumio was the only segmentation solution that would work at the scale of Microsoft and deliver in our environment.”

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