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EOT.AI Launches ML Workbench Empowering Industrial Operators to Drive AI Innovation

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EOT.AI launched Twin Sight ML Workbench, a no-code machine learning tool that empowers industrial operators and engineers to run, visualize, and benefit from ML models on SCADA and historian data—bridging the gap between OT and AI and accelerating innovation at the edge.

SAN FRANCISCO, April 8, 2025 /PRNewswire-PRWeb/ — EOT.AI, the makers of Twin Fusion — the AI-Powered Operational Innovation Platform — today announced the launch of Twin Sight ML Workbench, a powerful new tool designed to help industrial operators and engineers learn and easily apply machine learning (ML) directly on their real-time operational data.

“Twin Sight ML Workbench is the kind of innovation our customers need,” said Damon Vinciguerra, Real-Time Data Practice Manager at CSE ICON. “Bringing data tools closer to those who know the business accelerates outcomes and simplifies deployment.”

Until now, ML tools have largely been confined to data scientists and centralized IT teams. Twin Sight ML Workbench brings those capabilities to the operational edge, enabling operational users to run trained ML models directly on live data streams from SCADA, historians and other industrial sources — without needing to write code.

ML Workbench allows operations users to upload ONNX-based machine learning models and instantly apply them to real-time operational data. Results can be visualized side-by-side with raw data in intuitive dashboards, allowing engineers and operators to monitor predictions, detect anomalies, and support smarter decision-making in real time.

Real-world use cases include:

Upstream Oil & Gas: Predicting pump failures in injection wells to reduce unplanned downtime and avoid production loss.Power Generation: Detecting anomalies in turbine vibration data to prevent costly shutdowns.Discrete Manufacturing: Forecasting equipment wear to optimize maintenance cycles and extend asset life.

“Twin Sight ML Workbench empowers the very people closest to the equipment to use AI—not just observe it,” said Matt Oberdorfer, CEO of EOT.AI. “We believe operational teams should lead the AI transformation, and this tool puts them in the driver’s seat.”

Twin Sight ML Workbench also integrates with OpenPI2AI.com, a new community platform for sharing and discovering ready-to-use ML models tailored for plant operations to deploy industrial intelligence. This gives operations users a head start in applying machine learning without building models from scratch.

CSE ICON, a leader in OT/IT integration and digital transformation services for the industrial sector, partners with organizations to bridge the gap between legacy infrastructure and modern analytics solutions.

“Twin Sight ML Workbench is exactly the kind of practical innovation our customers need,” said Damon Vinciguerra, Real-Time Data Practice Manager at CSE ICON. “Bringing data science tools closer to the people who know the business best will accelerate outcomes and simplify deployment across complex environments.”

Twin Sight ML Workbench is now available to all Twin Fusion customers and will be showcased at AVEVA World in San Francisco on April 8, 2025. More details about TwinSight ML Workbench at: www.eot.ai/ml-workbench

About EOT.AI

EOT.AI is a leader in industrial intelligent software solutions, enabling industrial enterprises to optimize assets and modernize operations using AI and enterprise-wide insights. EOT.AI leverages cutting-edge technologies to deliver real-time insights and drive data-driven decisions. EOT.AI’s customers represent over $160 billion in revenue, $45 billion in assets, and 60,000 employees. For more information, visit www.eot.ai.

Media Contact
Annie Lieu, EOT.AI, 1 (858) 633 8822, annie@eot.ai, https://eot.ai

View original content to download multimedia:https://www.prweb.com/releases/eotai-launches-ml-workbench-empowering-industrial-operators-to-drive-ai-innovation-302421763.html

SOURCE EOT.AI

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AFP Launches No Code AI for Finance Certificate to Upskill Finance Teams

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New certificate empowers financial professionals with real-world AI skills that don’t require programming expertise

ROCKVILLE, Md., April 29, 2026 /PRNewswire/ — The Association for Financial Professionals (AFP) announced the launch of its No Code AI for Finance Certificate Program. Taught by an AI expert with a background in finance and operations, the virtual on-demand program goes beyond theory, providing practical applications of AI in finance.

Key takeaways

Practical curriculum: The certificate course, developed through feedback from finance practitioners, provides hands-on exercises and lessons on building a data foundation, training and interpreting machine learning models, generating insights with generative AI and embedding ethics in AI adoptionSelf-paced learning: Once registered for the certificate, eight hours of on-demand content across four modules are available in AFP Learn.Professional recognition: The certificate course is eligible for 9.6 CTP, FPAC and CCM Credits and provides a Digital Badge and printable certificate upon successful completion.

Why it matters
The finance function is at a critical turning point. Data volumes are growing while finance professionals are increasingly being asked to do more with less. The No Code AI for Finance Certificate equips teams to scale their impact by automating labor-intensive workflows and speeding up processes while maintaining accuracy.

Comprehensive curriculum
The certificate program includes four modules that are tailored to the specific needs of finance professionals:

Data Foundations for Trustworthy Finance Analytics: Learn about decision cycles AI can shorten, mitigation tactics for AI hallucinations, and the difference between supervised, unsupervised and generative tasks.Understanding the Full Machine Learning Process and Its Results: Learn to frame finance machine learning problems correctly, choose and defend the right success metrics for each task and translate model results into business-ready insights.Generative AI for Finance: Smarter Questions, Faster Insights: Learn to write prompts for GenAI, generate and refine GenAI-supported data-prep code, pressure test insights with GenAI and apply guardrails for GenAI.From AI Capability to Adoption & Ethics by Design: Learn to select and prioritize a first AI pilot, design an operating cadence, draft an ethics and risk control sheet, and define ROI and adoption KPIs.

Each module includes downloadable assets to help learners apply the lessons to their day-to-day work.

Key quote
“At AFP, we recognized a clear need for training that addresses finance-specific applications of AI. This certificate acts as a bridge to connect financial professionals to the transformative power of AI, ensuring they remain the indispensable strategic partners their organizations require,” said Pat Culkin, President & CEO of AFP.

Ready to lead AI adoption in your finance team?
Enroll in the certificate program and begin working toward the No Code AI for Finance Certificate.

FAQs
Who should enroll in this certificate program?
The program is designed for financial professionals at all levels looking to integrate AI into their workflows.

Are there any prerequisites for the course?
There are no prerequisites for this course. It is accessible to professionals of all technical backgrounds. No coding knowledge is required.

How is the course delivered?
The course consists of eight hours of on-demand content across four modules, which can be completed at the learner’s own pace.

How much does it cost to enroll in the certificate program?
The certificate program is $295 for AFP members and $495 for non-members.

About AFP®
Headquartered outside of Washington, D.C., and located regionally in Singapore, the Association for Financial Professionals (AFP) is the professional society committed to advancing the success of treasury and finance members and their organizations. Established and administered by AFP, the Certified Treasury Professional and Certified Corporate FP&A Professional credentials set standards of excellence in treasury and finance. Each year, AFP hosts the largest networking conference worldwide for about 7,000 corporate financial professionals.

Media contact
Joe Hodanich
Senior Director, Digital Strategy & Content
Association for Financial Professionals
Email: jhodanich@financialprofessionals.org

View original content to download multimedia:https://www.prnewswire.com/news-releases/afp-launches-no-code-ai-for-finance-certificate-to-upskill-finance-teams-302753219.html

SOURCE Association for Financial Professionals

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KT Corp. Files 2025 Annual Report on Form 20-F

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SEOUL, South Korea, April 29, 2026 /PRNewswire/ — KT Corporation (NYSE: KT), South Korea’s largest integrated telecom and digital platform service provider, announced that it has filed its Form 20- F Annual Report on April 29th, 2026 for the year ended December 31, 2025 with the Securities and Exchange Commission of the United States. The report can be accessed on KT’s English website at https://corp.kt.com/eng in the Investors section under Business Report as well as the SEC’s Edgar database at www.sec.gov. Shareholders may also request a hard copy of the Form 20-F Annual Report that includes audited financial statements of 2025, free of charge, by sending an e-mail to the Company’s IR department at ktir@kt.com.

About KT Corporation (KRX: 030200; NYSE: KT)

KT Corporation is the leading integrated telecommunications and platform service provider based in South Korea. Principal services include mobile, Broadband, IPTV, B2B communications, and fixed-line telephony. The Company has industry-leading market presence in Broadband, media services, and fixed-line telephony by maintaining the No.1 market share positions. Also, the Company is the No.1 player in B2B communications and offers a wide range of digital transformation services (DC, Cloud, AI, etc.). Additionally, the Company possesses a well-balanced portfolio of diverse subsidiaries focusing on media/content, financial services, real estate developments, and commerce industries.

Forward-Looking Statements

This communication contains “forward-looking statements” that are based on our current expectations, assumptions, estimates and projections about us and the industries in which we operate. The forward-looking statements are subject to various risks and uncertainties. Generally, these forward-looking statements can be identified by the use of forward-looking terminology such as “anticipate,” “believe,” “estimate,” “expect,” “intend,” “project,” “should,” and similar expressions. Those statements include, among other things, the discussions of our business strategy and expectations concerning our market position, future operations, margins, profitability, liquidity and capital resources. We caution you that reliance on any forward-looking statement involves risks and uncertainties, and that although we believe that the assumptions on which our forward-looking statements are based are reasonable, any of those assumptions could prove to be inaccurate, and, as a result, the forward-looking statements based on those assumptions could be incorrect. The uncertainties in this regard include, but are not limited to, those identified in the risk factors discussed above. In light of these and other uncertainties, you should not conclude that we will necessarily achieve any plans and objectives or projected financial results referred to in any of the forward-looking statements. We do not undertake to release the results of any revisions of these forward-looking statements to reflect future events or circumstances.

IR department:
+82-70-4193-4036
ktir@kt.com

View original content:https://www.prnewswire.com/news-releases/kt-corp-files-2025-annual-report-on-form-20-f-302757200.html

SOURCE KT Corp.

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SK TELECOM CO. LTD. FILES ITS ANNUAL REPORT ON FORM 20-F

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SEOUL, South Korea, April 29, 2026 /PRNewswire/ — On April 29, 2026, SK Telecom Co., Ltd. filed its Annual Report on Form 20-F for the year ended December 31, 2025 with the U.S. Securities and Exchange Commission. The 2025 Annual Report on Form 20-F can be viewed on www.sktelecom.com, as well as from the website of the U.S. Securities and Exchange Commission at www.sec.gov. Printed copies of SK Telecom’s complete audited financial statements (including footnotes) as of and for the year ended December 31, 2025 can be requested, free of charge, by written request to skt.ir@sk.com.

View original content:https://www.prnewswire.com/news-releases/sk-telecom-co-ltd-files-its-annual-report-on-form-20-f-302757201.html

SOURCE SK Telecom Co., Ltd

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