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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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Vertiv expands Manufacturing and Testing Capacity at Tognana Campus near Padua

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Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, today announced investments to expand chiller manufacturing and integrated testing capabilities at its Tognana campus near Padua. The company expects to double chiller production capacity in the region by the end of 2026 and complete a new large-scale testing laboratory in early 2027. The growth is also creating additional career opportunities across the campus. The site serves as one of Vertiv’s principal centers for cooling technology development, bringing together research and development, product management, manufacturing, and a Customer Experience Center, where customers and consultants can participate in witness testing of a broad range of cooling technologies across the thermal chain under real-world operating conditions.

With the growing demand for thermal systems to support high-density AI applications, Vertiv is focused on increasing manufacturing operations and new production processes at the Tognana site to support regional and global chiller capacity. The company is also investing in a new integrated testing laboratory for large-scale chillers, to validate their integration with liquid cooling systems under high-density load conditions and extreme temperature ranges. The expanded capability is intended to help customers validate thermal performance under expected site conditions and deploy increasingly complex cooling systems with greater speed and confidence.

“AI is driving thermal demands that didn’t exist two years ago, with higher densities, faster deployment demands, and no room to compromise on reliability,” said Giordano Albertazzi, CEO of Vertiv. “The expansion at Tognana puts us further ahead with more manufacturing capacity, integrated testing, and advanced thermal management systems built for current and future generations of silicon. This investment reinforces our position at the front of the curve.”

Vertiv has maintained a longstanding presence at the Tognana site since the 1960s, building on the legacy of brands such as Vertiv™ Liebert® and Vertiv™ Hiross, pioneers in precision cooling. Today, the campus serves as one of Vertiv’s principal European centers for data center thermal management, integrating innovation, manufacturing, testing, and customer engagement capabilities. Together with the Castel Guelfo facility near Bologna, it forms one of Vertiv’s main European technology hubs. Bologna and Tognana are also Vertiv Academy sites, providing training programs for technicians, partners and industry professionals. They are part of a network of 30 training centers and academies worldwide, of which 15 are based in Europe, Middle East and Africa (EMEA).

“The expertise of our Tognana teams is central to Vertiv’s ability to support increasingly complex cooling requirements,” said Sam Bainborough, vice president, thermal business at Vertiv in EMEA. “By expanding manufacturing, integrated testing and our local talent base, we are strengthening the campus’s role in serving customers across EMEA and other global markets while creating skilled opportunities in the region.”

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OPTRO LAUNCHES ‘OPTRO PARTNER CONNECT’ TO POWER GLOBAL GRC ECOSYSTEM GROWTH

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Optro (formerly AuditBoard), the leading AI-powered GRC Intelligence Platform empowering enterprises to transform risk into opportunity, has announced the formal launch of Optro Partner Connect. The new partner program offers partners flexible ways to go to market, a comprehensive suite of enablement, certification, technical, and co-marketing support, and a clear, predictable path to expand into new markets, deepen their service offerings, and drive lasting customer outcomes.

Optro Partner Connect replaces legacy frameworks with a modular design centered around distinct partner tracks, initially launching with Advisory Partners and Solution Providers, and a transparent tier structure in which benefits grow as partners do. Because benefits are tiered, partners will know exactly what they can access and unlock at each stage of their journey with Optro. Supporting every partner is a dedicated Partner Center of Excellence (PCoE): a team solely focused on partner success that guides firms through onboarding and ongoing “everboarding,” helping partners reach their first wins sooner and maintain a clear line of sight on their next stage of growth.

“Partners are a critical growth engine for Optro, and Optro Partner Connect ensures our ecosystem’s experience matches the enterprise-grade quality of our platform,” said Scott Whitlock, Global VP of Alliances and Channels at Optro. “By moving away from transaction-only metrics and adopting a holistic evaluation of capacity and competency, we are giving our partners a clear blueprint to build highly profitable services practices around our GRC Intelligence Platform.”

A differentiator of the program is Optro’s roadmap to weave an AI layer throughout the partner experience to give partners back time and help them win by automating repeatable manual tasks, surfacing real-time co-sell guidance in the field, and personalizing each partner’s onboarding so they can spend less time on administration and more time on value creation.

Key Program Highlights At-A-Glance

  • Flexible Tracks & Engagement Models: Partners choose how they go to market across the Advisory and Solution Provider tracks, referring, selling, or servicing with a transparent tier structure, a flexible legal framework, and recognized status as they grow. Financial and servicing incentives reward that momentum, and a services-rich platform offers eligible partners room to build a high-value practice across the full customer lifecycle — from implementation and advisory through managed services.
  • Enablement, Expertise, and Market Presence: A comprehensive benefits suite spanning role-based training and certification, deep technical and co-sell support, and co-branded marketing resources. Beyond a searchable partner directory that helps customers find them, qualified partners have a path to build their own solutions, integrations, and accelerators with Optro — turning their expertise into valuable IP.
  • A Strategic Voice for Optro: Through continuous feedback loops and a formal Partner Advisory Board, invited partners can participate in roadmap and go-to-market strategy discussions, helping to impact the future of connected GRC alongside Optro’s leadership rather than just delivering it.

“Our collaboration with Optro helps us transform how our clients handle audit and compliance,” said Adam Pajakowski, Principal at Crowe. “Through this new partner program, we can continue to help companies move away from outdated, manual processes. We look forward to expanding our work together and continuing to drive great results for our joint clients.”

“We’re excited about the launch of Optro Partner Connect and the added structure it brings to an already strong collaboration,” said Andrew Struthers-Kennedy, Global Lead, CAE Solutions, Protiviti. “The program introduces clearer alignment, more formal recognition, and a scalable framework for how we work together, which we believe will help drive greater consistency and impact as both organizations continue to grow.”

Optro Partner Connect formally goes live today. Comprehensive program briefs, regional guides, and deal registration resources are now available to active partners via a unified, updated partner portal. To learn more or apply to join Optro Partner Connect, visit optro.ai.

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DXC INTRODUCES DXC PRIVATE CLOUD+, BRINGING GREATER CONTROL, SECURITY, AND FLEXIBILITY TO ENTERPRISE CLOUD

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DXC Technology (NYSE: DXC), a leading enterprise technology and innovation partner, has announced that its DXC Private Cloud+ is now generally available. The solution delivers public cloud–like flexibility and pricing while maintaining full control over sensitive data and workloads. Powered by Dell Technologies infrastructure like servers, storage, and cyber resilience solutions and operated by DXC OASIS, DXC’s intelligent orchestration platform, Private Cloud+ helps organizations innovate more easily while still meeting strict requirements for data security, compliance, and sovereignty, at a time when enterprise cloud strategies are rapidly evolving.

As governance, security, data sovereignty, and industry-specific requirements become just as critical as scale, global organizations across industries are moving beyond a single-cloud approach and building multi-cloud portfolios that offer greater choice and control. In this environment, Private Cloud+ adds a powerful new option—combining the economics and agility of hyperscale with the control of private cloud, while providing a unified platform to connect data centers, integrate with public clouds, and prepare for AI workloads.

“Customers across industries from manufacturing to transportation, insurance and more want hyperscale economics, flexibility, and AI-readiness in a true hybrid environment, one that works across what they already run and the public clouds they depend on. Until now, they’ve had to compromise. Private Cloud+, powered by Dell and operated by DXC OASIS, ends that trade-off and enables them to be ready as AI workloads increase,” said Chris Drumgoole, President, Global Infrastructure Services, DXC.

Hosted in DXC’s data centers and orchestrated by DXC OASIS with a Human+ approach, Private Cloud+ supports the full range of enterprise workloads, including VMs, containers, data, backup and resiliency, and private AI. The result is a single environment where customers can reduce technical debt, strengthen security, and move faster from idea to production, supported by consumption-based economics that simplify financial planning.

Private Cloud+ is offered in three editions, enabling enterprises to choose the deployment model that matches their workload, tenancy, and compliance needs:

  • Core: a multi-tenant private cloud with the full Private Cloud+ feature set on consumption-based pricing
  • Dedicated: a single-tenant environment for customers requiring full isolation of compute, storage, and data sovereignty
  • Government: a hardened edition with advanced security controls, operated by cleared domestic personnel, for government agencies and regulated industries


“Enterprises are juggling sensitive workloads, modernization, and AI, all at once. Many are looking for infrastructure that handles it natively, without bolt-ons. That’s exactly what we built with Private Cloud+, with DXC OASIS removing the operational burden so customers can focus on innovation,” said Benjamin Greene, Director, Global Infrastructure Services, Private Cloud, DXC.

DXC and Dell have collaborated for over 25 years, jointly serving more than 2,000 customers worldwide. DXC is a Titanium Black partner in the Dell Technologies Partner Program. Private Cloud+ is a DXC Fast Track solution, focused on AI-fueled capabilities and automation that drive exponential growth.

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