Digital Lifescapes

The commercial aviation industry has been at the forefront of innovation, constantly pushing the creative boundaries of what's possible in aircraft design and manufacturing. However, with this pursuit of advancement comes an unwavering responsibility for safety. Recent events have cast a spotlight on the importance of rigorous adherence to aircraft assembly, testing, and maintenance procedures -- serving as a stark reminder of the critical role technology plays in ensuring the safety of passengers and crew alike. Aerospace Digitalization Market Development The dramatic images of a hole appearing in a Boeing aircraft operated by Alaskan Airlines sent shockwaves through the aviation industry, highlighting the potentially catastrophic consequences of even the slightest deviation from established quality-control protocols. In the wake of this incident, aerospace manufacturers have been galvanized into action, recognizing the urgent need to embrace appropriate technologies that can enha

The digital workplace solutions market has been on the rise in recent years as many large enterprise organizations have embraced hybrid working and remote work models. Solutions like Unified Endpoint Management (UEM), Desktop as a Service (DaaS), and Digital Employee Experience (DEX) tools have enabled companies to support their distributed workforce and enhance employee productivity.   Digital Workplace Market Development However, a new study from Gartner reveals that the digital workplace is about to play an even bigger role as companies turn their focus toward Environmental, Social, and Governance ( ESG ) initiatives. According to Gartner, 80 percent of digital workplace and IT leaders will integrate their tools with ESG management and reporting solutions by 2027 -- that's up from less than 5 percent today. This expected rapid convergence is being driven by growing regulatory requirements around ESG disclosure, as well as rising CEO and leadership prioritization of environmenta

The Internet of Things (IoT) continues to expand. According to the latest worldwide market study by Juniper Research, they forecast a 90 percent growth in cellular IoT devices by 2028, with the global number reaching 6.5 billion. This exponential rise presents both exciting opportunities and significant challenges. While the growth of cellular IoT unlocks a vast potential for innovation in smart cities, industrial automation, and remote monitoring, it also requires device management and security advancements. Cellular IoT Market Development Juniper's research highlights the critical role of intelligent infrastructure management solutions. These platforms will empower the users to automate critical tasks such as device configuration, real-time security management, and optimized wireless connectivity. The surge in cellular data usage, projected to reach 46 petabytes by 2028 compared to 21 petabytes today, further underscores the need for automation. This is where federated learning i

The growing need for real-time, localized artificial intelligence (AI) processing power drives demand for Generative AI (GenAI) solutions on public cloud edge computing platforms. Worldwide spending on edge computing is forecast to reach $232 billion in 2024 -- that's an increase of 15.4 percent over 2023, according to the latest market study by International Data Corporation (IDC). Combined enterprise and service provider spending across hardware, software, professional services, and provisioned services for edge solutions will sustain strong growth through 2027 when spending is forecast to reach nearly $350 billion. Edge Computing Market Development IDC defines edge as the information and communications technology (ICT) related actions performed outside of the centralized data center, where edge computing is the intermediary between the connected endpoints and the core enterprise IT environment. Characteristically, edge computing is distributed, software-defined, and flexible. T

The business technology community is at a critical juncture in 2024. Global market pressures are starting to ease, but persistent geopolitical threats are somewhat hindering progress. As a result, telecom network providers and their customers are under pressure to make strategic near-term decisions to drive positive impact and ROI within their organizations. "The rapid rise of private cellular, huge growth in 5G mMIMO radio deployments, and a big bet on network slicing are just some of the many changes on the horizon of which companies and organizations must be aware to make mid-course corrections or complete roadmaps," said Stuart Carlaw, chief research officer at ABI Research . Mobile Wireless Market Development The total addressable market for private networks, encompassing elements such as the Radio Access Network (RAN), Mobile-access Edge Computing (MEC), the core, and professional services, is poised to grow significantly. Anticipated to surge from $6.1 billion in 2023

The Economic Recovery Corps (ERC) is a new, collaborative initiative designed to accelerate recovery from the COVID-19 pandemic in communities and regions throughout the U.S. by connecting organizations with the talent and capacity needed to advance new ways of doing economic development. However, it's unknown if new technology will be a key component. For example, less than 25 percent of government organizations will have Generative Artificial Intelligence ( GenAI ) enabled citizen-facing services by 2027, according to the latest worldwide market study by Gartner. Furthermore, fear of public failure and a lack of community trust in government use of the technology will slow adoption for external use by a nation's citizens. Government GenAI Market Development Like many organizations over the past 15 months, federal and regional governments have been exploring the opportunities and risks associated with the emergence of GenAI tools. Gartner’s annual global survey of over 2,400 C

Anti-Money Laundering (AML) systems are rapidly evolving to compensate for the constant increase in volume and complexity of online financial crime. AML solutions help combat the sophisticated methods criminals use to avoid detection. AML includes a set of policies, procedures, and technologies that prevent the process of taking illegally obtained money and making it appear to have come from a legitimate source. The AML term arose from regulatory standards, specifically to detail the concealing of financial movements for underlying crimes ranging from tax evasion, drug trafficking, public corruption, and the financing of terrorist groups. Intelligent AML Systems Market Development According to the latest worldwide market study by Juniper Research, by 2028 the total spend on third-party AML systems will have grown by 80 percent -- that's up from $28.7 billion in 2024. This significant market growth will be driven by the use of artificial intelligence (AI) technologies to assist AML

With large enterprise business technology decision-making and budget spending now residing with Line of Business (LoB) leaders, rather than traditional IT leadership, the Chief Information Officer (CIO) role must demonstrate strategic skills. By 2028, 80 percent of CIOs will leverage significant organizational changes to harness AI, automation, and analytics, driving agile, insight-driven digital businesses. CIOs must become key players in shaping the future of their companies, guiding them through new trends while putting data at the heart of their business strategies, according to the latest market study by International Data Corporation (IDC). CIO Business Skills Market Development IDC research identified the top 3 concerns among C-suite executives were in digital skills, the lack of LoB trust in IT, and the lack of digital business know-how of C-suite executives. Given this backdrop, the major challenge for CIOs is transitioning from being a technical manager to a strategic archite

Soon you will start to experience Artificial Intelligence (AI) benefits everywhere -- in the public cloud, at the edge of mobile networks, and on many personal digital devices. Generative AI (GenAI) workloads have moved beyond the bounds of cloud environments and can now run on-device supported by implementing heterogeneous AI chipsets. Combined with an abstraction layer that can efficiently distribute AI workloads between processing architectures and compressed LLMs with under 15 billion parameters, these advanced chipsets can enable us to run generative AI inferencing locally. On-Device AI Market Development ABI Research estimates worldwide shipments of heterogeneous AI chipsets will reach over 1.8 billion by 2030 as personal computers, smartphones, and other form factors will increasingly ship with on-device AI capabilities. "Cloud deployment will act as a bottleneck for generative AI to scale due to data privacy, latency, and networking cost concerns. Solving these challenges