Artificial intelligence has quickly become a core component of today’s workplace. Employees now rely on AI tools to draft emails, summarize documents, analyze data, and complete tasks more efficiently. As a result, AI is increasingly driving productivity and enhancing how businesses operate.

According to Gallup’s 2024 workplace AI adoption report by Ryan Pendell, the number of employees using AI at work has nearly doubled in the past two years. Another study found that professionals given access to ChatGPT were 37% more productive on writing tasks. These insights highlight how rapidly organizations are integrating AI to support efficiency and innovation.

However, the rapid rise of AI usage also brings new challenges. Gallup researcher Christos Makridis reported that although 93% of organizations have begun using AI, only 15% of U.S. employees say their employer has provided a clear plan for integrating AI into their work. Without proper guidance and training, employees may unintentionally expose sensitive information or rely too heavily on AI‑generated outputs. This can undermine data security and lead to poor decision‑making.
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AI can significantly improve efficiency, but organizations must also establish clear ways of working around these technologies. Without thoughtful processes, governance, and responsible practices, the benefits of AI can quickly introduce new risks to productivity and data security.

​In today’s fast-paced, ever-changing business world, organizations need software that can keep up and even get ahead. Smartsheet is making bold moves into the AI era. With emerging generative AI capabilities, Smartsheet isn’t just evolving, it’s exploring new ways to help teams manage work, deliver projects, and drive better business outcomes.

In today’s fast-evolving business landscape, organizations face mounting pressure to deliver projects faster, with higher quality, and more efficient resource use. Smartsheet, a leading cloud-based work management platform, has emerged as a transformative tool enabling modern project and workflow management. The 2025 IDC Business Value study sponsored by Smartsheet quantifies the platform’s substantial impact on organizational productivity, project outcomes, operational costs, and revenue growth.

​Every year, Safer Internet Day serves as a global reminder of the importance of cybersecurity and responsible online behaviour. As digital threats continue to evolve, individuals and businesses must take proactive measures to protect their data, privacy, and online activities. This year, we highlight essential best practices that can help safeguard personal and professional digital environments.

​As organizations prepare to tackle the challenges of 2025, achieving business goals requires more than just managing individual projects. Portfolio Project Management (PPM) empowers businesses to align their resources, time, and energy with strategic objectives, ensuring maximum value from every initiative. But how can organizations leverage PPM to set themselves apart? The answer lies in mastering six critical pillars.

Managing large-scale utility projects across multiple countries is no small feat. When you're responsible for powering millions of homes and businesses, efficiency isn't just a buzzword — it's a necessity.
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That's why when Tenaga Nasional Berhad (TNB), Malaysia's leading utility company with operations across six countries, faced challenges with scattered project data and manual reporting processes, they knew something had to change.

​Reported by: Shahirah Abdul Aziz

​Supply chain attacks represent one of the most challenging threats in cybersecurity today. By targeting trusted third-party suppliers, attackers bypass traditional defences, gaining unauthorized access to secure networks and systems. These attacks, such as the XZ upstream supply chain compromise highlighted by Bitdefender, demonstrate the urgency for organizations to bolster defences against indirect threats.

​In today's digital landscape, ransomware attacks have become a significant threat to organizations worldwide. With the growing sophistication of these attacks, businesses and government agencies are under immense pressure to enhance cybersecurity while managing tight budgets. This article explores practical, cost-effective strategies to strengthen ransomware defences by emphasizing proactive investments, managed security services, and a layered security approach.

As we navigate 2024, ransomware remains one of the most persistent and devastating cyber threats. Ransomware attacks have surged in frequency, targeting businesses of all sizes, as well as individuals. With evolving tactics and increasingly advanced ransomware, organizations must protect their critical data and systems from these costly attacks. In this article, we’ll explore what ransomware is, the different types, the most common variants in 2024, and how companies can detect and prevent them.

What is a Phishing Attack?
Phishing is a cyberattack technique where attackers attempt to trick individuals into revealing sensitive information such as usernames, passwords, credit card numbers, or other confidential data. Typically, attackers pose as trustworthy entities, luring victims with compelling requests or offers. The term "phishing" is derived from the concept of "fishing," as attackers bait their targets into providing the information they seek.

What is Deepfake Technology?
Deepfake technology uses artificial intelligence, particularly deep learning, to create hyper-realistic fake images, videos, and audio recordings. The technology can modify existing content by swapping one person for another or generate entirely new content that depicts individuals saying or doing things they never did. While deepfakes can be used for entertainment or legitimate purposes, they also pose significant risks by spreading disinformation that appears to originate from credible sources.
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​What is Generative AI (GenAI)?
Generative Artificial Intelligence (GenAI) refers to AI systems designed to create new content, ideas, or data that mimic human creativity. By leveraging deep learning algorithms, GenAI can produce outputs such as text, images, music, and even code. Popular models like Generative Pre-trained Transformers (GPT) and Variational Autoencoders (VAEs) allow these AI systems to analyze vast datasets, learning patterns to generate original content that closely resembles the input data.