Intel is present in 6 markets with 7 products. Intel has 20 reviews with an overall average rating of 4.6.
Data Science and Machine Learning Platforms
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling that support the independent use by, and collaboration between, data scientists and their business and IT counterparts through all stages of the data science life cycle. These stages include business understanding, data access and preparation, experimentation and model creation, and sharing of insights. They also support machine learning engineering workflows including creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances and/or as a fully managed cloud offering. Data science and machine learning (DSML) platforms are designed to allow a broad range of users to develop and apply a comprehensive set of predictive and prescriptive analytical techniques. Leveraging data from distributed sources, cutting-edge user experience, and native machine learning and generative AI (GenAI) capabilities, these platforms help to augment and automate decision making across an enterprise. They provide a range of proprietary and open-source tools to enable data scientists and domain experts to find patterns in data that can be used to forecast financial metrics, understand customer behavior, predict supply and demand, and many other use cases. Models can be built on all types of data, including tabular, images, video and text for applications that require computer vision or natural language processing.
Intel has 1 product in Data Science and Machine Learning Platforms market
Event Stream Processing
The market for ESP platforms consists of software subsystems that perform real-time computation on streaming event data. They execute calculations on unbounded input data continuously as it arrives, enabling immediate responses to current situations and/or storing results in files, object stores or other databases for later use. Examples of input data include clickstreams; copies of business transactions or database updates; social media posts; market data feeds; images; and sensor data from physical assets, such as mobile devices, machines and vehicles.
Intel has 1 product in Event Stream Processing market
IT Infrastructure and Operations Management - Others
Reviews for 'IT Infrastructure and Operations Management - Others'
Intel has 1 product in IT Infrastructure and Operations Management - Others market
Infrastructure Monitoring Tools
Infrastructure monitoring tools capture the health and resource utilization of IT infrastructure components, no matter where they reside (e.g., in a data center, at the edge, infrastructure as a service [IaaS] or platform as a service [PaaS] in the cloud). This enables I&O leaders to monitor and collate the availability and resource utilization data of physical and virtual entities — including servers, containers, network devices, database instances, hypervisors and storage. These tools collect data in real time and perform historical data analysis or trending of the elements they monitor.
Intel has 1 product in Infrastructure Monitoring Tools market
IoT Security
The amount of information being transmitted from things continues to rise. Much of this data originates outside of the enterprise. The scale of security risks in the Internet of Things (IoT) era is therefore much greater than in the pre-IoT environment, and the 'attack surface' is much larger. Most sensor-based things have minimal computing resources, and the opportunities for antivirus, encryption and other forms of protection within things are more restricted. Therefore, IoT security products with a variety of capabilities emerged to help dispel some of these challenges.
Intel has 2 products in IoT Security market
Office Productivity Solutions - Others
Reviews for 'Office Productivity Solutions - Others'
Intel has 1 product in Office Productivity Solutions - Others market