Search results for: 'preparing for the data native of generative ai'

This Frost Radar benchmarks companies and their solutions that enable the exchange and use of data between healthcare applications. Interoperability improves continuity of care, increases communication and connectivity between different stakeholders (e.g., payors, providers, patients, public health bodies), and reduces inefficiencies. Organizat...

About 89% of IT and business decision makers that Frost & Sullivan surveyed in late 2023 believe artificial intelligence and machine learning are crucial, very important, or important in achieving business goals revolving around increasing operational efficiency, supporting innovation, and improving customer experience. An equal percentage of respo...

This edition of the ITCC Technology Opportunity Engine captures developments related to AI Observability, Enterprise AI Data Integration, Geospatial Estimator Platform, Edge AI-Driven IoT Platform, AIIoT & Edge Platform, AI-Optimized Edge Processing, Cloud-Native Infrastructure Management, Blockchain Payment, Quantum-Classical Hybrid Computing Plat...

Vehicles generate data that can be collected and used for new services and solutions—either for internal purposes within the workings of an automaker or for third parties that require data to create innovative use cases and value propositions. The connected car is already a rich source of information, and with new model launches, increased levels ...

Artificial intelligence (AI) uses algorithms and large data sets to find underlying relationships and drive improved business outcomes. While still a nascent technology, AI is experiencing increased implementation and adoption across industries to innovate business models, drive operational efficiencies, and create strategic differentiation. Global...

20 Sep 2023  |  Global  |  Technology Research

Edge AI Accelerators—Emerging Opportunity Analysis

Expanding IoT Applications Drive Growth

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Specialized edge AI hardware that enables quick deep learning on-device has become essential due to the rising need for real-time deep learning workloads. Additionally, a cloud-based AI method cannot ensure data privacy, low latency, or offer high bandwidth. As a result, many AI workloads are shifting to the edge, increasing the demand for speciali...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores growth opportunities across Quantum Computing Systems, AI Cloud Platforms, Orbital Data Centers, Sovereign AI, Multimodal AI Agents, AI-powered Event Platforms, Cloud Infrastructure Platforms, Field Foundation Models, and Legal and Professional Services Workf...

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,...

This research report frames artificial intelligence (AI) not as an incremental feature but as a paradigm shift in unified communications (UC), redefining how enterprises connect, coordinate, and get work done. For decades, UC platforms have acted as passive conduits—carrying calls, messages, and meetings between people. The emerging generation of A...