#EdgeAI

[pranathisoftwareservices]

AI and Machine Learning are reshaping how businesses operate in 2025. The rapid advancements are making it essential for companies to stay ahead of the curve.

How are you preparing your #business for these AI trends: https://www.pranathiss.com

[bharatpatel1061]

Energy Efficiency in AI Agent Deployment

AI agents deployed in real-time systems, edge devices, or IoT environments must balance intelligence with energy efficiency. Processing power is limited, yet responsiveness is crucial.

Techniques to manage this include lightweight models (e.g., quantized neural networks), event-driven execution (only act on significant changes), and offloading heavy computation to cloud layers.

Agents running on drones, smart homes, or wearables must make smart use of limited cycles. Developers must choose models and update frequencies carefully.

Visit the AI agents service page to explore architectures optimized for constrained environments.

Implement adaptive sampling—let the agent adjust its data collection rate based on environmental changes.

[forlinx]

Introducing the FET-MX8MPQ-SMARC System on Module — Built for Real-World Edge Intelligence

Looking to power your next-gen edge AI solution with industrial-grade reliability?

Meet the FET-MX8MPQ-SMARC from Forlinx Embedded — a high-performance SMARC 2.1-compliant SoM based on the NXP i.MX 8M Plus Quad-Plus processor.

✅ 4× Cortex-A53 @ 1.6 GHz + Cortex-M7 @ 800 MHz

✅ 2.3 TOPS NPU + ISP for AI vision and multimedia processing

✅ Dual-band Wi-Fi 5 + Bluetooth 5.3 built-in

✅ –40°C to +85°C industrial temperature range

✅ Preloaded with Linux 6.1.36 LTS, BSP, drivers, and sample code

✅ Compatible with all SMARC 1.x/2.x carrier boards

Whether you're building for smart cities, industrial IoT, intelligent transport, or medical devices, this module is ready for deployment at the edge.

📩 Want to learn more or request documentation?

👉 Contact us: sales@forlinx.com

[vasanthgr]

Latest Trends in Artificial Intelligence Technology

Artificial Intelligence (AI) technology is rapidly evolving with breakthroughs in generative AI, autonomous systems, and edge AI. These trends are revolutionizing industries by enabling smarter automation, real-time decision-making, and personalized user experiences. The focus is increasingly on ethical AI, improved data privacy, and human-AI collaboration.

[nrgnews-it]

Lean Nexus Platform (LNP): Driving European Competitiveness through Efficient Edge Intelligence and Digital Sovereignty

[reflextickcreativeagency]

Edge Computing Explained: Benefits, Use Cases & Future in IT

As businesses increasingly rely on real-time data and faster digital interactions, Edge Computing has emerged as a revolutionary solution in the IT landscape. Unlike traditional cloud computing that processes data in centralized data centers, edge computing processes data closer to the source — at the "edge" of the network. This shift significantly reduces latency, boosts performance, and opens doors to new innovations across industries.

In this blog, we’ll explore what edge computing is, why it’s trending, its real-world applications, and how it’s reshaping the IT industry.

What is Edge Computing?

Edge computing refers to the practice of processing data near the location where it’s generated — such as sensors, IoT devices, or local servers — rather than relying solely on a distant cloud data center. This decentralized approach allows faster responses, lower bandwidth use, and improved reliability.

Why is Edge Computing Gaining Popularity?

The rapid adoption of IoT devices, AI-powered applications, 5G networks, and real-time analytics has driven the demand for low-latency processing. Edge computing solves many of the challenges associated with sending data back and forth from centralized servers.

Key reasons for its rise:

⚡ Reduced latency for real-time decision-making

🔒 Enhanced data security by minimizing transmission

📶 Better performance in low or no internet zones

🌍 Scalability for large-scale IoT systems

💸 Cost savings from reduced bandwidth and cloud usage

Real-World Applications of Edge Computing

🚗 Autonomous Vehicles

Self-driving cars use edge computing to process sensor data in real time, helping them make split-second decisions without relying on cloud data centers.

🏥 Healthcare

In smart hospitals, edge devices process patient monitoring data instantly, ensuring immediate alerts and accurate diagnostics.

🏭 Smart Manufacturing

Factories use edge computing for predictive maintenance and real-time monitoring of machinery, reducing downtime and increasing productivity.

🛒 Retail

Retailers deploy edge-powered systems for inventory tracking, customer analytics, and in-store personalization.

🏙️ Smart Cities

Edge computing powers intelligent traffic lights, surveillance systems, and utility management, making cities more efficient and connected.

Edge vs Cloud Computing: A Symbiotic Relationship

While edge computing handles data processing close to the source, cloud computing still plays a vital role in long-term data storage, analytics, and large-scale computing. In modern IT architecture, edge and cloud computing work together — with edge handling real-time tasks and cloud managing more complex, centralized operations.

The Future of Edge Computing in IT

🔗 Edge + 5G: As 5G networks expand, edge computing will become faster and more efficient.

💡 AI at the Edge: AI models deployed directly on edge devices will unlock smarter and more autonomous systems.

☁️ Hybrid Infrastructure: Enterprises will combine edge, cloud, and on-prem systems for flexibility and performance.

📈 Market Growth: The global edge computing market is projected to surpass $155 billion by 2030, showing its explosive potential.

Final Thoughts

Edge computing is no longer just a trend — it’s a fundamental shift in how IT infrastructure is designed and deployed. For businesses looking to stay competitive in a real-time, data-driven world, adopting edge computing is becoming essential.

Whether you're in healthcare, manufacturing, logistics, or tech — edge computing is shaping the future of how data is processed, analyzed, and used.

[market-insider]

How Edge AI Software is Reshaping IoT, 5G, and Cloud Computing

The global edge AI software market size was valued at USD 1.56 billion in 2023 and is expected to grow at a CAGR of 28.8% from 2024 to 2030. Numerous factors, such as the proliferation of Internet of Things (IoT) devices, increasing demand for real-time decision-making, advancements in AI and ML, and 5G network expansion, are primarily contributing to the growth of the market. Furthermore, processing data locally on edge devices helps organizations comply with stringent data privacy regulations and avoid the security risks associated with transmitting sensitive data to centralized cloud servers. This is particularly essential in the healthcare, finance, and government sectors. Thus, there is high growth in the edge artificial intelligence (AI) software market.

Key Edge AI Software Company Insights

Key edge AI software companies include Amazon Web Services, Edge Impulse Inc., and Google. Companies active in the market are focusing aggressively on expanding their customer base and gaining a competitive edge over their rivals. Hence, they pursue various strategic initiatives, including partnerships, mergers & acquisitions, collaborations, and new product/ technology development. For instance, in June 2024, Advantech Co., Ltd., an IoT intelligent systems provider, launched AIR-520 Edge AI server solution for generative AI applications, including Phison's patented aiDAPTIV+ technology. The solution facilitates the fine-tuning of large language models (LLMs) using 1-4 GPU cards and SQ ai100 AI SSDs. It allows businesses to train LLMs in a cost-effective manner while ensuring the security of sensitive data at the edge.

Recent Developments

In July 2024, NTT DATA Inc., a consulting and information technology service company, launched Edge AI, which delivers a comprehensive managed service platform designed to expedite Information Technology (IT)/Operational Technology (OT) convergence by migrating AI processing to the edge. This platform encompasses everything needed for Edge AI deployment, including systems, tools, and necessary capabilities. It effectively handles data identification, gathering, integration, computing capacity, smooth connectivity, and the management of AI models.

In June 2024, STMicroelectronics, a semiconductor manufacturer, launched ST Edge AI Suite, integrating tools, software, and expertise to streamline and expedite the development of edge-AI applications. The ST Edge AI Suite stands as a unified set of software tools aimed at simplifying the creation and launch of embedded AI applications. This complete package aids in the entire process, from data collection to the actual implementation of machine learning algorithms on devices, making the development workflow more efficient for various user types.

[tsqc]

How Latent AI is Transforming Edge AI Deployment

[kanerikablog]

🌐 Powering Scalable Edge AI with Cloud Computing!

Cloud computing is the backbone of scalable, efficient, and real-time Edge AI solutions. Learn how it enhances performance, flexibility, and cost-efficiency.

📖 Read now: https://kanerika.com/blogs/cloud-computing-role-in-edge-ai/

[sigortacilik-haberleri]

2025’te Öne Çıkacak 10 Teknoloji Trendi Türkiye’nin ilk SAP Gold Partner’ı Nagarro + MBIS, geniş sektör deneyiminden yararlanarak 2025 yılında iş dünyasında öne çıkacak 10 teknoloji trendini açıkladı...

[sigorta-sektoru]

2025’te Öne Çıkacak 10 Teknoloji Trendi Türkiye’nin ilk SAP Gold Partner’ı Nagarro + MBIS, geniş sektör deneyiminden yararlanarak 2025 yılında iş dünyasında öne çıkacak 10 teknoloji trendini açıkladı...

[sigorta-haberleri]

2025’te Öne Çıkacak 10 Teknoloji Trendi Türkiye’nin ilk SAP Gold Partner’ı Nagarro + MBIS, geniş sektör deneyiminden yararlanarak 2025 yılında iş dünyasında öne çıkacak 10 teknoloji trendini açıkladı...

[if-haber]

2025’te Öne Çıkacak 10 Teknoloji Trendi Türkiye’nin ilk SAP Gold Partner’ı Nagarro + MBIS, geniş sektör deneyiminden yararlanarak 2025 yılında iş dünyasında öne çıkacak 10 teknoloji trendini açıkladı...