DFI Teams Up with Technology Partners to Deliver ESG-Driven AI Solutions and Rugged Edge Systems for Mission-Critical Applications at Automation Expo 2025
According to a research report, India's industrial PC market is projected to grow at a 10.1% CAGR (2020–2026), driven by automation, robotics, medical, transportation, and other Industry 4.0 applications. Aligned with India's growing automation market, DFI offers Bureau of Indian Standards (BIS)-approved industrial systems built to meet strict requirements for quality, reliability, and safety. For harsh environments, the ECX700-ADP meets IP67/69K and MIL-STD-810G standards, offering advanced connectivity and low-latency 5G—ideal for AMR deployments in Industry 4.0 environments.
DFI's collaboration with industrial AI partner LivNSense takes center stage with ESG-ready, AI-powered solutions. These solutions integrate DFI's EC600-series, EC700-ASL, in-vehicle systems, and the newly launched Edge AI server with LivNSense's VICAS AI engine for real-time safety detection at the edge. Coupled with the GreenOps platform, the solutions enable smarter, safer, more sustainable operations in mining, factory safety, and beyond.
DFI will also deliver high-performance platforms for tightly regulated sectors such as transportation, defense and medical. For transportation, DFI will showcase the EN50155-compliant UPS-IP300 for efficient and reliable railway operations, alongside rugged in-vehicle systems like the VC700-ASL—built to meet E-mark and ITxPT standards, and tested to MIL-STD-810G for vibration and shock resilience.
Within the defense sector, DFI highlights the ultra-compact QRB812 OSM with a live scouting drone demo for commercial UAVs applications, along with the COM-HPC RPS9HC, designed for extreme field use. Across medical applications, DFI introduces IEC 60601-compliant AI servers and medical-grade panel PCs for diagnostics, monitoring, and edge-based imaging.
To support diverse AI workloads, DFI will also present the EC700-ADN with DEEPX NPU for low-latency inference and hybrid x86- and ARM-based platforms X6-MTH-ORN / X6-ORN—also featured at the Taiwan Excellence Pavilion (Hall 6, I2-J2).
For press release materials, photos, and videos, please download them from the cloud:https://drive.google.com/file/d/1RyNnxsQiIQ56hLKG0gOaXihtLe06D5jp/view?usp=sharing
About DFI
Founded in 1981, DFI is a global leading provider of high-performance computing technology across multiple embedded industries. With its innovative design and premium quality management system, DFI's industrial-grade solutions enable customers to optimize their equipment and ensure high reliability, long-term life cycle, and 24/7 durability in a breadth of markets including Industrial Automation, Medical, Gaming, Transportation, Energy, Mission-Critical, and Intelligent Retail.
View original content:https://www.prnewswire.com/apac/news-releases/dfi-teams-up-with-technology-partners-to-deliver-esg-driven-ai-solutions-and-rugged-edge-systems-for-mission-critical-applications-at-automation-expo-2025-302520682.html
SOURCE DFI Inc.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Forbes
a minute ago
- Forbes
The Business Case For Data Readiness: Rethinking ROI In The Age Of AI
Sean Nathaniel is CEO of DryvIQ, the Intelligent Data Management Company trusted by over 1,100 organizations worldwide. Rapid AI adoption has transformed data preparation from an IT initiative to an enterprise-wide priority. Historically, conversations around unstructured data have focused on risk: minimizing exposure, ensuring compliance and meeting regulatory demands. But with AI driving such monumental change—and using this data to do it—that framing is no longer enough. Unstructured data readiness is more than just a safeguard; it's a growth strategy, and should be evaluated as such. Businesses are now analyzing and organizing data not just to avoid risk, but to unlock value and drive measurable outcomes. By making data (and knowledge worker content in particular) relevant, organized, cleansed and secure, they can supercharge automation, unleash AI and make faster, sharper decisions. That shift in thinking requires a shift in how we frame the business case for data readiness strategies. Data is more than just a technological byproduct of conducting business—it's now a driver of business impact. And that makes every business leader, not just IT, responsible for driving data readiness forward. Why Risk-Based Business Cases Fall Short Data initiatives have traditionally focused on reducing risk or cutting costs, but that narrow view misses the real opportunity. Today, enterprise content is a strategic asset, powering AI, automation and insights that drive growth. With over 90 percent of enterprise data being unstructured, organizations without a clear data readiness strategy aligned to business objectives risk missing out on significant value. To make the case for data readiness today, IT and business leaders must move beyond minimizing downside and focus on the upside, demonstrating how these efforts enable growth and help achieve strategic goals. Beyond ROI: The Three Returns of Data Readiness Recently, Gartner introduced a framework for evaluating the business outcomes of AI-related investments. Rather than looking solely at return on investment (ROI), they recommend assessing two additional dimensions: • Return On Employee (ROE): Return on employee engagement and productivity • Return On Future (ROF): A strategic bet that the initiative will benefit the future growth of the company A comprehensive data readiness strategy delivers across all three. When content is organized and AI-ready, employees spend less time sifting through data and more time solving problems. Clean, well-classified content enables AI to generate accurate and meaningful insights with the push of a button. This allows teams to act faster and make decisions with greater confidence, amplifying the impact of each employee and improving productivity across the organization. Atlassian's AI Collaborators Report shows top AI users save up to 105 minutes daily—equal to an extra workday each week—and are 1.5 times more likely to invest that time in learning new skills. According to an IDC report, generative AI delivers substantial returns, with organizations seeing an average of $3.70 for every dollar spent. For top-performing organizations, that ROI increases to $10.30. These returns are only possible when AI has access to clean, organized and high-quality data. Without it, initiatives can stall or underperform, missing their full potential. Data readiness ensures that AI investments deliver the measurable financial outcomes that we expect. One of the most strategic benefits of data readiness is its ability to support long-term adaptability and innovation. AI strategies are evolving by the day. Until recently, agentic AI was hardly part of the conversation—now, Microsoft predicts that more than 80% of organizations expect agents to be moderately or extensively integrated into their AI strategy within the next 12 to 18 months. New tools, new use cases and new regulatory demands will continue to emerge, and it's nearly impossible to predict precisely how the technology will evolve next. A strong data foundation ensures that organizations can pivot with confidence, adapt to change and act on new opportunities at scale. Building A Business Case That Wins To secure executive buy-in, data leaders must translate technical efforts into business outcomes. Executives do not invest in cleanup; they invest in performance, agility and growth. Here are a few ways to shift the conversation: Lead with insight, not infrastructure. Use a targeted data scan or proof of concept to uncover risks, inefficiencies and untapped opportunities within unstructured data repositories and business applications. Let those early results shape the narrative and demonstrate impact, proving the value of developing a data readiness roadmap. Tie efforts to active business initiatives. Position data readiness as the foundation for priorities such as AI adoption, content platform modernization or other transformation initiatives. When aligned with current business strategies, data projects are far more likely to gain traction. Forecast return with clarity. Use pilot results or industry benchmarks to forecast impact, whether that means increased ROI from operational efficiency, higher ROE through improved productivity, or stronger ROF by enabling future initiatives. Demonstrate scalability. Demonstrate how your approach can be tailored to various teams, systems and objectives. A one-size-fits-all solution may not work, but a framework that can scale to meet a variety of needs, including those that may arise in the future, will resonate with decision-makers. Staying Ready For What's Next AI may be today's driver of change, but data readiness is about more than preparing for the present moment. As enterprise data volumes continue to grow and business priorities shift, organizations need strategies that scale with them. Data readiness is no longer a one-time project. It is an ongoing, strategic initiative that enables speed, agility and innovation. Companies that invest now in scalable, flexible data strategies will be ready not just for AI, but for whatever comes next. The most successful enterprises will not just react to change; they will stay ahead of it. And that begins with how they ready their data today. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
24 minutes ago
- Yahoo
West Point Gold Engages VRIFY to Accelerate Exploration and Unlock Discovery at Gold Chain Project
Vancouver, British Columbia--(Newsfile Corp. - August 7, 2025) - West Point Gold Corp. (TSXV: WPG) (OTCQB: WPGCF) (FSE: LRA0) ("West Point Gold" or the "Company") is pleased to announce that it has engaged VRIFY Technology Inc. ("VRIFY"), the leading provider of AI-assisted mineral discovery and 3D project visualization, to support and accelerate its exploration efforts across its Gold Chain Project in Arizona. West Point will harness VRIFY's full suite of products to maximize the value of its extensive datasets to drive smarter, faster discovery outcomes. DORA, the world's only AI-Assisted Mineral Discovery Platform, will support the Company in identifying, ranking, and validating targets using artificial intelligence. Viz, VRIFY's dynamic 3D visualization tool, will transform stakeholder engagement and elevate the clarity of technical storytelling. "Our team has always prioritized visual storytelling," said Quentin Mai, President & CEO of West Point Gold. "Partnering with VRIFY allows us to take our project presentations to the next level and more effectively showcase the potential of our Gold Chain Project to investors and stakeholders." With a robust drilling database, strong geophysical coverage, and a large, highly prospective land package anchored by the advancing Tyro target, West Point is well-positioned to benefit from DORA's ability to synthesize complex geological data into high-confidence exploration targets. The Company is looking to maximize the return on shareholder capital by focusing exploration efforts where the probability of success is highest. "We believe the use of VRIFY's AI-Assisted Mineral Discovery Platform, DORA, should help us define and prioritize the many step-out targets we have at Gold Chain," said Derek Macpherson, Executive Chairman of West Point Gold. "The use of AI will allow us to more efficiently take advantage of the extensive early-stage geologic work we have completed to date, hopefully accelerating our exploration process as we work to demonstrate Gold Chain's full potential." VRIFY CEO and Co-Founder, Steve de Jong, added, "West Point is a great example of the forward-thinking teams we're excited to partner with. They understand that leveraging AI and modern visualization isn't optional anymore, it's how the next generation of discoveries will be made." With mineral exploration entering a new era driven by artificial intelligence, West Point Gold's adoption of VRIFY reflects a broader strategic shift towards data-driven discovery, capital efficiency, and maximizing per-share value creation for shareholders. About West Point Gold Corp. West Point Gold Corp. (formerly Gold79 Mines Ltd.) is a publicly listed company focused on gold discovery and development at four prolific Walker Lane Trend projects covering Nevada and Arizona, USA. West Point Gold is focused on developing a maiden resource at its Gold Chain project in Arizona, while JV partner Kinross is advancing the Jefferson Canyon project in Nevada. About VRIFY VRIFY is redefining mineral exploration by putting the power of AI into the hands of geoscientists. DORA, VRIFY's AI-Assisted Mineral Discovery Platform, empowers technical teams to leverage the industry's largest proprietary exploration dataset and mineral-system-specific AI models to identify, rank, and validate high-potential targets faster, and with greater confidence. A high-growth software company trusted globally by over 170 mineral exploration and mining companies, VRIFY is shaping a new era of exploration and discovery. Learn more at: For further information regarding this press release, please contact: Aaron Paterson, Corporate Communications ManagerPhone: +1 (778) 358-6173Email: info@ Stay Connected with Us:LinkedIn: (Twitter): @westpointgoldUSFacebook: FORWARD-LOOKING STATEMENTS: Certain statements contained in this press release constitute forward-looking information. These statements relate to future events or future performance. Forward-looking statements include estimates and statements that describe the Company's future plans, objectives or goals, including words to the effect that the Company or management expects a stated condition or result to occur. The use of any of the words "could", "intend", "expect", "believe", "will", "projected", "estimated" and similar expressions and statements relating to matters that are not historical facts are intended to identify forward-looking information and are based on the Company's current belief or assumptions as to the outcome and timing of such future events including, among others, assumptions about future prices of gold, silver, and other metal prices, currency exchange rates and interest rates, favourable operating conditions, political stability, obtaining government approvals and financing on time, obtaining renewals for existing licenses and permits and obtaining required licenses and permits, labour stability, stability in market conditions, availability of equipment, availability of drill rigs, and anticipated costs and expenditures. The Company cautions that all forward-looking statements are inherently uncertain, and that actual performance may be affected by a number of material factors, many of which are beyond the Company's control. Such factors include, among other things: risks and uncertainties relating to West Point Gold's ability to complete any payments or expenditures required under the Company's various option agreements for its projects; and other risks and uncertainties relating to the actual results of current exploration activities, the uncertainties related to resources estimates; the uncertainty of estimates and projections in relation to production, costs and expenses; risks relating to grade and continuity of mineral deposits; the uncertainties involved in interpreting drill results and other exploration data; the potential for delays in exploration or development activities; uncertainty related to the geology, grade and continuity of mineral deposits; the possibility that future exploration, development or mining results may vary from those expected; statements about expected results of operations, royalties, cash flows, financial position may not be consistent with the Company's expectations due to accidents, equipment breakdowns, title and permitting matters, labour disputes or other unanticipated difficulties with or interruptions in operations, fluctuating metal prices, unanticipated costs and expenses, uncertainties relating to the availability and costs of financing needed in the future and regulatory restrictions, including environmental regulatory restrictions. The possibility that future exploration, development or mining results will not be consistent with adjacent properties and the Company's expectations; operational risks and hazards inherent with the business of mining (including environmental accidents and hazards, industrial accidents, equipment breakdown, unusual or unexpected geological or structural formations, cave-ins, flooding and severe weather); metal price fluctuations; environmental and regulatory requirements; availability of permits, failure to convert estimated mineral resources to reserves; the inability to complete a feasibility study which recommends a production decision; the preliminary nature of metallurgical test results; fluctuating gold prices; possibility of equipment breakdowns and delays, exploration cost overruns, availability of capital and financing, general economic, political risks, market or business conditions, regulatory changes, timeliness of government or regulatory approvals and other risks involved in the mineral exploration and development industry, and those risks set out in the filings on SEDAR+ made by the Company with securities regulators. Although the Company believes that the assumptions and factors used in preparing the forward-looking information in this corporate press release are reasonable, undue reliance should not be placed on such information, which only applies as of the date of this news release, and no assurance can be given that such events will occur in the disclosed time frames or at all. The Company expressly disclaims any intention or obligation to update or revise any forward-looking statements whether as a result of new information, future events or otherwise, other than as required by applicable securities legislation. Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release. To view the source version of this press release, please visit
Yahoo
24 minutes ago
- Yahoo
Software provider EPAM lifts annual forecasts on AI-driven demand
(Reuters) -EPAM Systems raised its annual revenue and profit forecasts on Thursday, encouraged by strong demand for its software services as enterprises continue to invest heavily in artificial intelligence technologies. Shares of the company, which provides a wide range of IT services including consulting, cloud and AI transformation and software engineering, rose more than 5% in premarket trading after it also topped estimates for second-quarter results. Despite global economic tensions companies are still spending on software services to ramp up their AI offerings and integrate AI within their operations, driving demand at EPAM. EPAM saw strong demand from clients in industries such as financial services, software, healthcare and consumer goods in the quarter, posting revenue increases across major industry verticals, as well as across geographies. "As our clients prioritize their AI-readiness and preparatory actions, they are increasingly turning to us to build out their data and AI foundation," said Chief Revenue Officer Balazs Fejes, who is taking over as CEO from September. Newtown, Pennsylvania-based EPAM now expects annual revenue growth at between 13% and 15%, up from its previous forecast of 11.5% to 14.5%. Analysts on average were expecting 2025 revenue to increase 13.4%, according to data compiled by LSEG. EPAM projected adjusted earnings per share in the range of $10.96 to $11.12 for the year, compared with its prior forecast of $10.70 to $10.95. Analysts were estimating $10.85 per share. The company's third-quarter revenue forecast of $1.37 billion to $1.38 billion also came in above estimates. Adjusted profit is expected to be in the range of $2.98 to $3.06 per share, also ahead of market expectations. For the second quarter ended June 30, EPAM's revenue jumped 18% to $1.35 billion, beating estimates of $1.33 billion. Excluding one-off items, per-share profit was $2.77, above estimates of $2.61. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
