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While only 2% are ready, most companies expect productivity gains of 10-40% with Enterprise AI: Infosys Research

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Enterprises need to prepare themselves in five key areas – strategy, governance, talent, data, and technology – to achieve significant productivity gains from AI

BENGALURU, India, Oct. 29, 2024 /PRNewswire/ — Companies globally recognize the potential of artificial intelligence (AI) and are eager to adopt enterprise AI, yet most are far from fully integrating AI into their businesses and operations owing to large gaps in basic AI readiness, reveals a new research from the Infosys Knowledge Institute (IKI), the research arm of Infosys (NSE: INFY), (BSE: INFY), (NYSE: INFY).

The Infosys Enterprise AI Readiness report includes insights from over 1,500 respondents across Australia, New Zealand, France, Germany, the United Kingdom, and the United States, backed up with in-depth interviews with 40 senior executives in the US and UK.

The Infosys research highlights that while executives envision AI as the next industrial revolution, transforming business models and shaping the new economy, many companies lack the foundational building blocks for successful enterprise AI adoption. According to the research, enterprises expect an average increase of 15% in productivity from their current AI projects, with some anticipating up to 40% gains, yet only 2% of organizations are ready across all five key dimensions: talent, strategy, governance, data, and technology. The biggest gaps lie in technology readiness, with only 9% of companies possessing the necessary AI capabilities like machine learning frameworks, prebuilt algorithms, and dynamic compute. Additionally, data accuracy, processes, and accessibility are significant challenges, with only about 10% of respondents reporting ease of data location and access for AI projects.

To overcome these hurdles and realize the full potential of AI, including gen AI, companies must address readiness gaps and foster a culture of innovation. A clear AI strategy aligned with business objectives is essential, encompassing technology investments, talent acquisition, and ethical considerations.

The research outlines five steps to close the gaps and reduce apprehensions about AI to accelerate adoption:

Develop a comprehensive AI strategy: A strong AI strategy aligns with business objectives, enhances revenue growth, and ensures desirable, feasible, and viable use cases. Only 23% of our respondents show readiness in this area.Establish responsible AI governance: AI governance is crucial for managing risks like bias, misuse, and security threats. Only 10% of companies have well-defined governance processes. Responsible AI requires tailored guidelines, and a centralized AI governance team. Infosys’ Responsible AI Office, part of Infosys Topaz, demonstrates this approach by establishing policies to ensure data security and mitigate risks, enhancing AI’s value for enterprises.Upskill the workforce: Despite the critical role of AI in enterprises, only 21% said their employees have the requisite knowledge to adopt AI tools and techniques. Upskilling is key, yet just 12% offer adequate training. Effective AI integration hinges on closing skills gaps and fostering collaboration. Forward-thinking firms are creating AI skill pathways to ensure readiness.Prepare data infrastructure for AI: Data health is crucial for AI success but remains a challenge. Only 10% of the companies find their data easy to access, while 30% rate their data accuracy and governance as poor. Enterprises need to constantly assess their systems, improve data quality, and ensure proper storage for effective AI implementation.Cultivate a culture of tech-powered innovation: Technology is a significant gap in enterprise AI readiness, with only 9% of companies fully prepared. Investing in foundational technologies like machine learning and automation can improve customer experience, reduce errors, and enhance compliance. Fostering a culture of innovation and employee readiness for AI adoption enables enterprises to create better value.

Mohammed Rafee Tarafdar, Chief Technology Officer, Infosys, said: “To become enterprise-wide AI-ready and realize the promise of this technology, including gen AI, it is imperative to establish a robust and scalable foundation. Our research and learnings from our AI-first transformation journey has shown that data readiness, enterprise gen AI platform with responsible AI guardrails, and AI talent transformation are key to accelerate and democratize AI development. This must be complemented by an AI foundry and factory model for scaling AI initiatives across the enterprise.”

Jeff Kavanaugh, Head of Infosys Knowledge Institute, said, “Our research found that Enterprise AI, including gen AI, promises to unlock up to 40% in productivity gains, yet only 2% of companies are truly ready. This readiness gap represents both a challenge and a massive opportunity. Those who act now – by building a clear AI strategy, including gen AI, establishing strong governance, and upskilling talent – will not only lead the next wave of innovation but will fundamentally reshape their industries. AI is not a distant goal; it is the prerequisite foundation for future competitiveness. The time to invest in AI readiness is now.”

To read the full report with detailed insights, please visit here

About Infosys

Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next.

Safe Harbor

Certain statements in this release concerning our future growth prospects, or our future financial or operating performance, are forward-looking statements intended to qualify for the ‘safe harbor’ under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results or outcomes to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding the execution of our business strategy, increased competition for talent, our ability to attract and retain personnel, increase in wages, investments to reskill our employees, our ability to effectively implement a hybrid work model, economic uncertainties and geo-political situations, technological disruptions and innovations such as Generative AI, the complex and evolving regulatory landscape including immigration regulation changes, our ESG vision, our capital allocation policy and expectations concerning our market position, future operations, margins, profitability, liquidity, capital resources, our corporate actions including acquisitions, and cybersecurity matters. Important factors that may cause actual results or outcomes to differ from those implied by the forward-looking statements are discussed in more detail in our US Securities and Exchange Commission filings including our Annual Report on Form 20-F for the fiscal year ended March 31, 2024. These filings are available at www.sec.gov. Infosys may, from time to time, make additional written and oral forward-looking statements, including statements contained in the Company’s filings with the Securities and Exchange Commission and our reports to shareholders. The Company does not undertake to update any forward-looking statements that may be made from time to time by or on behalf of the Company unless it is required by law.

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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

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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

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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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