TOP AI TECHNOLOGY COMPANIES

Modern AI systems depend heavily on AI technology companies. Below is a representative list of artificial intelligence companies that are curated and cataloged in the Inventurist platform with detailed information about performance, cost, and other capabilities.

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DATA SOURCES

Modern AI systems depend heavily on good quality data for building and processing AI models. Below is a representative list of data providers (freely-available or proprietary) that are curated and cataloged in the Inventurist platform.

There are 450+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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DATA INGESTION

Technology components that are used to load data into the AI Models normally during normal operation of the system. Data Ingestion is closely related to Data Integration with the difference that integration deals mostly with extraction and transformation and it's typically done offline, during the development of the system as opposed to the operation.

There are 200+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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DATA INTEGRATION

Data integration refers to data quality and other pre-processing functions that are needed to combine, merge, and homogenize different dataset to maintain the flow of data into the AI Models.

There are 75+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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AI MODELS

AI Models are computational artifacts that store a representation of the intelligence in a machine-processable format. There are a variety of different types of AI Models each with their owns pros and cons that makes them suitable for different types of applications or stages of an AI system.

There are 150+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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AI ALGORITHMS

AI Algorithms are the procedures, techniques, and rules that are followed by a computer system to solve a problem. AI Algorithms are applied to one or more AI Models in order to generate a set of AI Functions.

There are 100+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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AI FUNCTIONS

AI Functions are the intelligent operation generated by AI Algorithms that automatically accomplish a task. Examples of AI Functions are prediction of a future outcome, selection of best choices among alternatives, analysis of a situation, detection of potential anomalies or flaws, etc.

There are 125+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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VALUE PROPOSITIONS

All the AI components, from Data Sources to AI Functions, need to eventually lead to some tangible and measurable business outcome. Value Propositions are the expected business outcomes from the AI system.

There are 750+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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DATA AUTOMATION

Data Automation is about processes or systems that automate the extraction, transformation and feeding input data into AI Models with minimal manual intervention.

There are 100+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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LEARNING FEEDBACK

One of the essential elements of modern AI systems is self-learning and continuous improvement by feeding the output and usage data from an AI system back into the AI Models. The improvements can be in the form of better accuracy of machine learning algorithms, adapting the AI Models to new and changing situations, or supporting reinforcement learning models.

There are 10+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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COMPUTE INFRASTRUCTURE

Compute infrastructure is comprised of systems that are the basis of running an AI system such as computer hardware, cloud infrastructure, communication networks, security and data protection systems, etc.

There are 150+ of technology vendors in this category in Inventurist knowledge base with detailed information about performance, cost, and other capabilities that is available in our platform.

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