Search results for: 'model based system engineering iot (big data)'

The surge in the amount of data being generated, collected, and analyzed daily is driven by digital transformation initiatives. With organizations also storing more data than ever, distributed storage across multiple locations, including on premises and in public and private clouds, provides the scalability and performance that centralized storage ...

Data has been an integral component of any enterprise’s business operations, regardless of sectors, sizes, and maturity. The adoption of cloud, big data, and GenAI has made data grow exponentially in terms of velocity, volume, and value. Enterprises have been using multiple data security solutions to protect their data amid this rapidly evolving la...

As organizations increasingly rely on interconnected physical and digital systems, the attack surface has expanded dramatically, necessitating specialized security solutions that bridge traditional IT and operational technology domains, introducing new breach vectors through connected IoT devices, physical security systems, sensor networks, and oth...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...

The 2025 edition of privacy-enhancing technologies (PETs) explores cutting-edge innovations that redefine secure data collaboration and regulatory compliance across industries. PETs enable organizations to analyze, process, and share sensitive data without compromising privacy—using advanced methods such as differential privacy, federated learning,...

Data is the most valuable asset for enterprises. It drives decision-making, productivity, and customer experience, but this makes it a prime target for attackers. For a long time, encryption, tokenization, masking, and DLP have helped enterprises to protect data while newer approaches, such as DSPM, enhance visibility across cloud and SaaS workload...

The rapid adoption of cloud computing and hybrid environments has brought a lot of benefits to organizations globally, such as flexibility, scalability, and cost savings. However, as hybrid-cloud and multi-cloud strategies become an increasingly important part of organizations' business operations, organizations will find it difficult to maintain u...

The surveillance solutions market has shifted from hardware solutions to digital models, and system integrators (SIs) will continue to operate as key stakeholders for both surveillance equipment manufacturers and end customers. The digitalization of the market has necessitated that manufacturers offer advanced digital functions, and SIs should be a...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to SRAM, Multi-chip Architecture, LoRa and AI Accelerators. Some of the innovations profiled include 2nm Custom SRAM for AI & Cloud Infrastructure Applications, Modular Quantum System with Reduced Gate Error and Multi-Chip Architecture, Microcontroller Series with High...