Search results for: 'training data crowd'

Healthcare interoperability, the ability of different healthcare systems and applications to seamlessly exchange and use patient health data, is critical to advanced, precise, and personalized healthcare. Data interoperability is crucial to advanced, precise, and personalized healthcare; however, achieving interoperability has been a significant ch...

The labor market is constantly evolving and introducing newer forms of employment, such as the retired workforce, platform workers, crowd workers, and temporary workers. Changing market dynamics have shifted companies’ focus from hiring and training to leveraging non-permanent talent as this model offers optimal flexibility and lower fixed costs. ...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Augmented Reality, Artificial Intelligence, Generative AI, Edge AI. These technologies empower users to employ various input methods, enhancing accessibility and convenience. This adaptability enables clients to easily adjust...

Launched on November 30, 2022, ChatGPT reached 1 million users in five days, the second fastest application to hit that milestone in history. GPT stands for generative pretrained transformer a large language model (LLM) developed by OpenAI in 2018. It has been trained on 175 billion parameters, making it one of the largest language models currently...

12 Jun 2023  |  Global  |  Technology Research

Industry Cloud Platforms: An End-to-end Specialized Solution

Data-driven Insights Boost the Industry Cloud Platform Growth Pipeline

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An industry cloud platform is designed to meet the specific needs of respective industries. It provides sector-specific solutions and services through the cloud, such as data analytics, machine learning, and asset management, to help organizations improve efficiency, reduce costs, and drive innovation. The adoption of industry cloud platforms is...

15 Jun 2021  |  North America  |  Market Research

US Automotive Usage-based Insurance Growth Opportunities

Transformational Growth Enabled by Connected Data Ecosystems Drives New Insurance Models

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For decades, automotive insurers have based underwriting on historical driver data and demographics. Drivers were forced to settle for one-size-fits-all policies that did not take into account their driving habits or miles driven. This began to change with the emergence of real-time tracking of vehicle and driver behavior with vehicle telematics. T...

As digital transformation is changing business models, organizations need to leverage real-time intelligence to create and deliver value. Further, next-generation workloads and applications are dependent on extensive near-real-time computation. The large volume of data generated needs to be effectively processed and stored to maximize value. This ...

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...

Data science, software engineering, and materials knowledge researchers must collaborate to bridge the gaps in materials R&D and accelerate digital transformation. To introduce digital innovation into the lab, scientists need to develop new skills and manage larger data volumes more efficiently using tools such as artificial intelligence (AI), big ...