Almost half (45%) of workers say their workload has increased significantly in the past year, as almost two-thirds (62%) say the pace of change at work has increased over the same time

More than one-quarter (28%) say they are very or extremely likely to switch employer in the next 12 months – a higher proportion than during the ‘Great Resignation’ (19%) in 2022

Employees prioritise skills-growth: fewer than half (46%) strongly or moderately agree that their employer provides adequate opportunities to learn new skills. This is particularly important for workers considering leaving: two-thirds (67%) say opportunities to learn new skills are a key factor in any decision to job-switch

More than 80% of workers who use generative AI daily expect it to make their time at work more efficient in the next 12 months. Half (49%) of all users expect it to lead to higher salaries

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According to Forrester, the key to sustained enterprise success over the longer-term success is to data and AI strategies with business transformation objectives. For tech leaders, a key focus in 2025 will be prioritizing stronger alignment with chief data officers to ensure that AI becomes a business strategy, not just a technology strategy.

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According to the International Data Corporation's (IDC) recent report, The State of Ransomware in Asia/Pacific, a staggering 59.6% of enterprises in the region experienced ransomware attacks in 2023. The report highlights the urgent need for enhanced cybersecurity measures to counteract increasingly sophisticated threats. This figure shows the increasing threat of cyberattacks and the need for organizations to improve their cybersecurity measures to protect against more advanced ransomware.

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The public cloud services market growth in 2023 grew faster than the previous forecast, driven mainly by the rise of generative AI (GenAI). This trend led to a high demand for AI platforms and data management software. As a result, the PaaS market recorded a YoY growth of 46.5%, the highest in the past four years.

GenAI-infused applications also drove the SaaS market growth, which helped the SaaS market sustain over 60% of total public cloud services market share. In contrast, the IaaS market growth slumped from 21.3% in 2022 to 12.9% in 2023, which met IDC's expectation that the softened economic condition in the region is impacting organizations to focus on cost optimization strategy and shift the cloud spending to automation solutions to streamline business and IT operations.

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“Everyday AI promises to remove digital friction, by helping employees write, research, collaborate and ideate,” said Matt Cain, Distinguished VP Analyst at Gartner. “It is a core part of DEX, which is a concentrated effort to remove digital friction and improve workforce digital dexterity, which itself is one of the key factors that will drive organizational prosperity through 2030.”

2024 has been a critical year for digital workplace application leaders, as the focus on hybrid and remote work dwindles and the need for a strategic concentration on everyday AI rises. Everyday AI is placed on the Peak of Inflated Expectations on the Gartner Hype Cycle for Digital Workplace Applications, 2024

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With modest GDP growth and stagnant budgets, organizations around the world are finding it necessary to reallocate funds from mature areas to support IT investments. While cloud and security continue to be key priorities, generative AI (GenAI) is increasingly taking the spotlight as companies strive for significant productivity improvements. GenAI investment is expected to grow 30%, with leaders from companies with high GenAI maturity anticipating their return on investment will be three-times higher over the next three years than that of companies with little or no adoption of the technology, according to a new report by Boston Consulting Group (BCG) released today.

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The 2024 ISG Provider Lens™ global Specialty Analytics Services report for the supply chain industry finds that organizations are investing in technologies to harness enterprise and ecosystem data for better decision-making. The COVID-19 pandemic exposed the fragility of global supply chains, so enterprises are exploring how data and analytics can make systems more resilient and sustainable.

“Companies can no longer take supply chains for granted,” said Bob Krohn, partner, manufacturing, for ISG. “By implementing new technologies with providers, they are achieving the end-to-end visibility they need to stay ahead of changes.”

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There are six technologies that will have transformational benefits within five years for digital government services, according to Gartner, Inc. These include digital employee experience (DEX), AI code assistants, generative AI (GenAI), generative design AI, predictive analytics in government and workstyle analytics.

“Delivering services digitally continues to be a priority in government transformation plans,” said Daniel Snyder, Sr Director Analyst, KI Leader at Gartner. “These technologies will help government CIOs bridge the gap between digital innovation goals and executing against strategy objectives. Collectively, they will be a crucial element for executives in aligning technology innovation to mission outcomes to keep pace with growing citizen expectations.”

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Generative AI (GenAI) is creating a new type of knowledge worker who can code faster and summarize documents instantly. But can the tool also enable people to meet the shifting demands of their roles? A new scientific experiment conducted by the BCG Henderson Institute in collaboration with BCG X and Emma Wiles from Boston University, as described in GenAI Doesn’t Just Increase Productivity. It Expands Capabilities., examines what happens when, instead of using GenAI to improve performance within their current skillset, people use the technology to complete tasks beyond their existing capabilities.

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The ISG Buyers Guide™ for Cloud-Native AI and Data Platforms, produced by ISG Software Research, projects that through 2026, more than one-third of enterprises will deploy cloud-native AI and data platforms in their information architectures. Most leading cloud providers offer both AI and data capabilities, while independent software providers offer AI and data platforms built to operate natively in and across cloud environments, the report says.

The report points out that AI requires large amounts of high-quality data that needs to be prepared, engineered and organized to feed and train AI models. The volumes of data necessary for accurate AI models place a significant demand on computing resources, which can often be best met with elastic cloud platforms. The cost of these systems can be significant, and any inefficiencies in the process can exacerbate the costs, the report says.

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A recent Gartner, Inc. poll of more than 1,800 executive leaders, revealed that 55% of organizations have an AI board. The poll also indicated 54% of organizations have a head of AI or an AI leader that orchestrates activities.

“The findings show that organizations are divided regarding if an AI board is necessary,” said Frances Karamouzis, Distinguished VP Analyst Gartner. “The answer is yes, enterprises need an AI board to transcend the multidisciplinary challenges to drive value and reduce risk. However, the duration, scope, and resourcing is context-specific and use-case dependent. For some, it’s a short-term, stopgap measure. For others, it’s a longer-term change to their operating model.

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Only 14% of customer service and support issues are fully resolved in self-service, according to a survey by Gartner, Inc. Even for issues that customers describe as “very simple”, only 36% resolve fully in self-service.

While many organizations have made considerable investments in self-service capabilities, a Gartner survey of 5,728 customers conducted in December 2023 revealed that resolution rates remain low.

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The 5G RedCap, finalized in Release 17, provides a migration pathway from 4G LTE to 5G for mid-range devices, particularly suitable for IoT. ABI Research forecasts 80 million IoT RedCap module shipments from 2024 to 2029. RedCap simplifies device complexity, providing an affordable pathway to 5G for IoT device OEMs. It delivers LTE-equivalent throughput performance and draws significant interest across the IoT value chain.

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Edge computing plays a crucial role in reducing latency and enhancing privacy as the focus of AI shifts from training to inference. This facilitates faster decision-making with reduced network congestion. Global spending on edge computing is projected to reach $228 billion in 2024 and $378 billion by 2028

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