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Digital Twin Technology Can Improve Water Utility Management, Says Info-Tech Research Group in New Industry Resource

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Info-Tech Research Group’s comprehensive new resource addresses key IT challenges for water utilities, such as mapping the digital twin journey, prioritizing initiatives, and optimizing operational procedures. The firm’s guide to developing a digital twin roadmap for water utilities provides actionable strategies to enhance capability development, drive innovation, and improve water utility management.

TORONTO, May 29, 2024 /CNW/ – With escalating global water concerns and the increasing urgency for effective water management, water utilities must accelerate their digital transformation efforts, says global research and advisory firm Info-Tech Research Group in a recently published industry resource. Navigating the complex landscape of water utility operations presents numerous challenges for utility leaders, from aging infrastructure to the increased responsibility of providing safer water to communities. While digital twin technology holds significant potential benefits, the firm explains that many organizations struggle to map out a tailored digital twin journey that aligns with the unique characteristics of their ecosystem. To address this issue, the Info-Tech Research Group has released its latest blueprint, Build a Water Utility Digital Twin Roadmap. The firm’s research-backed resource will assist industry leaders in developing a strategic plan that ensures immediate benefits from implementing digital twin technology in the utility sector.

“Digital twin technology has long been a prominent topic in water utility industry conferences and utility working groups worldwide. While its potential benefits are enticing to water utility leaders, the roadmap to actualizing this goal often remains unclear,” says Jing Wu, principal research director at Info-Tech Research Group. “Digital twin is far from a binary concept. It cannot simply be purchased off the shelf and developed overnight. Rather, it represents a journey of continuous learning and development across multiple capabilities within the digital twin domain.”

Info-Tech’s research highlights the lack of actionable guidance in existing digital twin research, which leaves utility leaders without clear, actionable steps. Adding to this challenge is the absence of a robust framework to guide roadmap development that balances desired business outcomes with necessary investments. This gap underscores the need for a comprehensive approach to digital twin implementation, ensuring that water utilities can effectively manage their resources and deliver clean, safe water to their communities.

“Most water utilities have made recent progress in deploying elements toward achieving an ideal digital twin target state. However, what often remains lacking is a holistic view of the digital journey. Each water organization’s business drivers vary, and consequently, so does its digital twin journey,” explains Wu. “The starting point in this journey can vary depending on factors like leadership sponsorship, technology maturity, and cultural readiness for managing significant digital transformation programs. Regardless of the chosen approach, it is critical for water utility thought leaders to maintain a focus on the bigger picture while planning their journey, even if the pathways diverge.”

The firm advises the importance of considering factors such as leadership sponsorship, technology maturity, and cultural readiness when managing significant digital transformation programs. The blueprint also emphasizes the need for utility leaders to develop an effective roadmap that includes prepopulated sample data to facilitate continuous and iterative planning. By doing so, water utilities can ensure they are well-equipped to implement digital twin technology in the industry successfully, driving both immediate and long-term benefits. 

In its new blueprint, Info-Tech outlines three key steps for utility leaders to consider when building a digital twins roadmap: 

Identify the Desired Outcome: Establish a baseline and target organizational key performance indicators to measure success. Shortlist potential use cases that align with strategic goals and can drive significant value.Prioritize Use Cases: Conduct a thorough analysis of use cases, focusing on tactical initiatives in people, process, and technology. A value readiness evaluation will help prioritize these use cases based on their potential impact and feasibility.Create a Tactical Roadmap to Close the Gap: Identify gaps in current digital twin capabilities and develop a detailed roadmap to address these gaps. This iterative approach ensures continuous improvement and alignment with evolving organizational needs.

By following the detailed guidance outlined in Info-Tech’s blueprint, water utilities can effectively navigate their digital twin journey as part of their broader digital transformation strategy. This comprehensive approach not only enhances operational efficiency and resource management but also positions water utilities at the forefront of innovation.

As global water challenges continue to escalate, the proactive adoption of digital twin technology enables utilities to drive long-term benefits and build resilience in an increasingly complex environment.

For exclusive and timely commentary from Jing Wu, an expert in the water utility industry, and access to the complete Build a Water Utility Digital Twin Roadmap blueprint, please contact pr@infotech.com.

Info-Tech LIVE 2024 Conference

Registration is now open for Info-Tech Research Group’s annual IT conference, Info-Tech LIVE 2024, taking place September 17 to 19, 2024, at the iconic Bellagio in Las Vegas. This premier event offers journalists, podcasters, and media influencers access to exclusive content, the latest IT research and trends, and the opportunity to interview industry experts, analysts, and speakers. To apply for media passes to attend the event or gain access to research and expert insights on trending topics, please contact pr@infotech.com.

About Info-Tech Research Group

Info-Tech Research Group is one of the world’s leading research and advisory firms, proudly serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

To learn more about Info-Tech’s divisions, visit McLean & Company for HR research and advisory services and SoftwareReviews for software buying insights.

Media professionals can register for unrestricted access to research across IT, HR, and software and hundreds of industry analysts through the firm’s Media Insiders program. To gain access, contact pr@infotech.com.

For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X.

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SOURCE Info-Tech Research Group

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Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

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Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ — Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

Overcoming the Bottlenecks of Manual Ontology Creation

Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo’s AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

Addressing the Complexities of Semantic Knowledge

Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo’s intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

A Solution Designed for Scalable Scientific Data Modeling

The AI-powered solution addresses critical format compatibility and integration points in ontology management:

Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

Unique Features include:

Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

Strategic Value Across the Scientific Chain

This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

About Zifo

Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

For more information, visit www.zifornd.comhttps://zifornd.com/practical-ai-blueprints/

Logo: https://mma.prnewswire.com/media/2731415/Zifo_Technologies_Logo.jpg

 

View original content:https://www.prnewswire.com/news-releases/zifo-transforms-ontology-engineering-with-ai-powered-intelligent-automation-302758975.html

SOURCE Zifo Technologies

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UNC-Chapel Hill establishes ‘Carolina in the Capital’ with new Washington, D.C. office

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CHAPEL HILL, N.C., April 30, 2026 /PRNewswire/ — The University of North Carolina at Chapel Hill has opened a new office in Washington, D.C., establishing an expanded presence for the University in the nation’s capital and creating exciting opportunities for students, faculty, staff and alumni.

Located at 101 Constitution Avenue NW, the 10,861-square-foot space – coined “Carolina in the Capital” – will support a variety of functions, including educational programming for undergraduate and graduate students, alumni relations and engagement with government partners.

As a leading R1 university, UNC-Chapel Hill annually attracts more than $1.6 billion to the state’s economy to fund research that creates a better quality of life for all its citizens. More than 60% of UNC-Chapel Hill’s total research funding comes from federal sponsors with the majority of that federal funding coming from the National Institutes of Health (NIH), which is based in the Washington area.

“Carolina in the Capital is a state-of-the-art facility that reflects our commitment to creating experiential learning opportunities for our students and faculty,” said Chancellor Lee H. Roberts. “The space is designed as an immersive learning environment where students can translate classroom knowledge into hands-on experience, which has never been more important. The facility also strengthens our ability to support engagement between our staff, alumni, policymakers and partners.”

Supporting students participating in Carolina’s Washington-based academic programs is a priority. For years, students and faculty have relied on temporary or borrowed spaces across the city. The new office provides a permanent home where students can gather, learn and build community while living and studying in Washington. A robust schedule of classes and events will fill the space throughout the year.

The Washington, D.C. region is home to the largest concentration of out-of-state Carolina alumni anywhere in the country. The new office creates a dedicated space to strengthen those connections and support networking, mentorship, professional development and community-building among D.C.-based Tar Heels.

The space will also serve as a platform to bring Carolina’s research and academic expertise into closer conversation with policymakers, industry leaders and member organizations. Carolina is the nation’s 11th largest university in the country based on research volume with primary federal funding coming from NIH and the National Science Foundation (NSF), both based in the D.C. area. Carolina is a proud member of the Association of American Universities (AAU) and the Association of Public & Land Grant Universities (APLU), which are both based in Washington.

The office is funded entirely through the UNC-Chapel Hill Foundation and does not use any state appropriations.

You can view additional photos of the space here.

Media Contact: UNC Media Relations, 919-445-8555, mediarelations@unc.edu

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SOURCE University of North Carolina at Chapel Hill Office of Communications

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Investing.com Acquires Stonki to Accelerate Its Entry into the Agentic AI Era

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The acquisition strengthens Investing.com’s AI capabilities, advancing a next-generation research assistant that can analyze markets, generate insights, and guide investors in real time

NEW YORK, April 30, 2026 /PRNewswire/ — Investing.com, one of the world’s largest financial platforms used by more than 60 million investors each month, today announced the acquisition of Stonki, an AI-powered investing assistant designed to help traders turn ideas into structured, actionable trading plans.

The move marks a major step in the company’s evolution toward agentic AI, strengthening its ability to deliver faster, deeper, and more actionable market insights to a growing base of more than 300,000 paying subscribers across its InvestingPro suite, the company’s premium subscription offering for advanced market data, tools, and AI-driven insights.

Over the past 12 months, nearly 3 million users have used WarrenAI, Investing.com’s AI-powered financial research assistant launched last year, to perform market analysis, making AI a central entry point into the platform’s ecosystem. With the addition of Stonki, the company is moving beyond traditional AI tools toward agentic systems that can proactively guide users through the investment process.

“We’re entering the age of agentic AI, where the technology moves beyond just answering questions to actively helping investors think, analyze, and act,” said Omer Shvili, CEO of Investing.com. “Bringing Stonki.ai into the fold accelerates our goal of building an agentic platform that will serve as a 24/7 analyst for our users. We are developing this to be more than just a tool; it will be a partner that identifies opportunities, tracks unfolding situations, and surfaces trade ideas even when the user isn’t active—giving our users the kind of edge that was previously only available to professional investors.”

Founded in 2025, Stonki is developing a new category of ‘agentic’ AI for investing, enabling users to turn investment ideas into fully defined strategies with entry and exit conditions, risk management rules, and continuous monitoring.

“We started Stonki because, as investors and traders ourselves, we knew how much time and focus it takes to stay on top of the market and properly manage a day trade, a swing trade, an investment idea, or a portfolio,” said Ulas Bilgenoglu and Itay Verkh, co-founders of Stonki. “We set out to build AI that could carry part of that load by continuously monitoring the market, turning ideas into structured strategies, and helping users make better decisions with clear entry and exit conditions, disciplined risk management, and ongoing tracking. Joining Investing.com gives us the scale, data, reach, and strong AI foundation to accelerate that vision. Together, we can create an experience where AI helps users stay ahead of the market, manage risk, and act with greater confidence.”

The acquisition expands Investing.com’s AI capabilities across both technical and fundamental investing workflows. Stonki’s technology is built around persistent, real-time intelligence, continuously monitoring markets, tracking user-defined strategies, and alerting investors when conditions align, rather than relying on one-off prompts or static analysis.

For active traders, the platform is evolving into a real-time analysis engine designed to support high-frequency decision-making with precision and speed. For long-term investors, it is becoming a central hub for research, enabling users to evaluate opportunities, set personalized alerts, and monitor portfolios based on their individual investment strategies.

Users will be able to define specific conditions, such as a stock crossing a long-term moving average, and have the AI continuously monitor the market, analyze relevant signals, and surface actionable insights in real time. The system will also review portfolios on an ongoing basis, helping investors avoid potential losses and uncover new opportunities aligned with their strategy.

This latest step builds on Investing.com’s broader strategy of expanding its AI-powered suite, including WarrenAI, ProPicks AI, and its recently launched AI Chart Analysis, all aimed at delivering faster, more accurate and more actionable insights to investors.

View original content:https://www.prnewswire.com/news-releases/investingcom-acquires-stonki-to-accelerate-its-entry-into-the-agentic-ai-era-302756588.html

SOURCE Investing.com

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