Global Next-Gen Computing Market to Reach $928.6B by 2031

Global Next-Gen Computing Market to Reach $928.6B by 2031

The global next-generation computing market is experiencing exponential growth, projected to surge from $157.9 billion in 2021 to $928.6 billion by 2031 at a CAGR of 19.6%. According to a report by Allied Market Research, this expansion is fueled by rapid advancements in artificial intelligence (AI), machine learning (ML), quantum computing, and cloud-based computing solutions. With increasing adoption across various industries and a strong push for digital transformation, businesses are investing heavily in high-performance computing (HPC), parallel computing, and distributed computing to improve efficiency, innovation, and competitiveness.

Read More: Global Next-Gen Computing Market to Reach 8.6B by 2031
Huawei’s AI-Driven Techco Model: Transforming Carrier Value Creation

Huawei’s AI-Driven Techco Model: Transforming Carrier Value Creation

James Chen, President of Huawei Carrier Business, recently delivered a keynote titled “Innovating with AI: Drive Techco Value Creation to New Heights.” His speech emphasized that transformation is not the end goal; rather, it is about sustained value creation. With the rapid advancements in 5.5G, cloud, and AI, telecom carriers are shifting from traditional connection service providers to full-fledged technology companies (techcos). To facilitate this transition, Huawei introduced the “Five Ones” capability model, which aims to reshape business models, operations, and infrastructure, enabling carriers to unlock new monetization opportunities and achieve long-term growth.

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AGII Revolutionizes Blockchain with AI-Driven Decentralized Solutions

AGII Revolutionizes Blockchain with AI-Driven Decentralized Solutions

AGII is reshaping decentralized technology by integrating AI-driven blockchain solutions that enhance security, scalability, and automation. Through real-time adaptability and autonomous execution, AGII is setting new benchmarks for Web3 transactions, ensuring that blockchain networks become more efficient, intelligent, and self-sustaining.

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EY Launches AI-Powered Smart Contract Review for Enhanced Security

EY Launches AI-Powered Smart Contract Review for Enhanced Security

The EY organization has launched advanced artificial intelligence (AI) capabilities in its EY Blockchain Analyzer: Smart Contract and Token Review (SC&TR) tool. This new AI-driven functionality enhances smart contract vulnerability detection, improves test coverage, and accelerates the contract simulation process, making smart contract reviews more efficient and robust. With the integration of AI, users can automate contract reviews using natural language prompts, significantly reducing manual efforts while increasing security. This innovation positions businesses to deploy smart contracts with greater confidence, reducing review times for EY teams by 50%.

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Optimizing Observability: Edge Delta Integrates with Dynatrace Grail

Optimizing Observability: Edge Delta Integrates with Dynatrace Grail

Edge Delta, a leading provider of intelligent telemetry pipelines, has announced its native support for Dynatrace, including integration with Dynatrace’s advanced Grail technology. This collaboration enables organizations to optimize telemetry data collection, processing, and analysis, reducing excess noise and costs while enhancing observability insights. By leveraging Edge Delta’s real-time data processing capabilities, teams can intelligently filter, aggregate, and optimize log, metric, and trace data before it reaches Dynatrace. This ensures that only the most valuable data is ingested, improving query performance, enhancing monitoring, and reducing unnecessary data volumes.

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AI Market to Reach $1.8 Trillion by 2030, Driven by Innovation & Adoption

AI Market to Reach $1.8 Trillion by 2030, Driven by Innovation & Adoption

The global artificial intelligence market is projected to reach $1,811.75 billion by 2030, expanding at a CAGR of 36.6% between 2024 and 2030. This surge is driven by technological advancements, increased investments, and widespread adoption across industries like healthcare, automotive, logistics, and consumer electronics. As AI continues to reshape industries, key trends such as Generative AI, deep learning, specialized AI hardware, and neural networks are fueling rapid market growth.

Read More: AI Market to Reach .8 Trillion by 2030, Driven by Innovation & Adoption
Pcloudy Launches Qpilot.AI: AI-Powered Zero-Code Testing for Digital Enterprises

Pcloudy Launches Qpilot.AI: AI-Powered Zero-Code Testing for Digital Enterprises

As digital-first enterprises strive to deliver flawless user experiences, software quality assurance has become more complex and resource-intensive. Traditional testing frameworks often require specialized coding skills, lengthy test cycles, and high maintenance overhead. To address these challenges, Pcloudy, a leader in AI-driven digital experience testing, introduces Qpilot.AI, an end-to-end AI-powered testing agent that simplifies test automation with natural language processing (NLP). Unlike conventional tools, Qpilot.AI enables teams to create, execute, and maintain test scripts in plain English, making advanced automation accessible to everyone.

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AGII Integrates AI Automation to Enhance Web3 Efficiency and Scalability

AGII Integrates AI Automation to Enhance Web3 Efficiency and Scalability

As Web3 adoption accelerates, the demand for more efficient, scalable, and secure decentralized applications is growing. AGII, a leader in AI-driven Web3 solutions, is addressing this challenge by integrating intelligent automation into its platform. By leveraging cutting-edge AI, AGII enhances smart contract execution, reduces transaction costs, and streamlines decentralized interactions. This innovation marks a major step toward making Web3 infrastructure more adaptable, cost-effective, and secure.

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Axelera AI Unveils Titania™: A Scalable AI Inference Chiplet for HPC

Axelera AI Unveils Titania™: A Scalable AI Inference Chiplet for HPC

Axelera AI, a leader in AI hardware acceleration for generative AI and edge computing, has announced Titania™, a high-performance and energy-efficient AI inference chiplet. Titania builds on Axelera AI’s Digital In-Memory Computing (D-IMC) architecture, enabling near-linear scalability from the edge to the cloud. To support this development, Axelera AI has secured €61.6 million in funding from the EuroHPC Joint Undertaking (JU) as part of the Digital Autonomy with RISC-V for Europe (DARE) Project. This follows a $68 million Series B funding round, bringing the company’s total funding to over $200 million USD in just three years

Read More: Axelera AI Unveils Titania™: A Scalable AI Inference Chiplet for HPC

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