Promethium Combines AI and Natural Language to Automate SQL Requests
Rather than having to employ specialists to wrangle data for hours, the average SQL query can now be created and executed in less than four minutes.
Rather than having to employ specialists to wrangle data for hours, the average SQL query can now be created and executed in less than four minutes.
Loop AI Labs explains how its cognitive computing platform has an advantage over traditional natural language processing techniques with dark data.
Business intelligence continues to evolve as developers incorporate the latest technology into their platforms, such as real-time analytics, natural language processing, AI, and machine learning.
What's needed is a more intelligent and holistic class of process automation that weaves together a combination of technology capabilities including RPA, machine learning, natural language processing, optical character reader, and other flavors of AI.
The life sciences industry can optimize data insights to improve pharmacovigilance processes using AI, ML, and Natural Language Processing.
The aim is to bring voice activation using natural language processing and seamless device interoperability to both the consumer and industrial IoT.
A platform from WorkCompass uses machine learning and natural language processing to continually track and adjust employee performance.
A new IBM Watson app and portal uses natural language processing and real-time data to provide shoppers with instant suggestions based on current trends.
Amara Health Analytics is a provider of predictive clinical analytics software driven by a combination of machine learning, natural language processing, semantic analysis and real-time physiological signal processing. This is how Amara Health solved their problem with struggling with the wide array of structured and unstructured data it had to manage.
In this week's real-time analytics news: Accenture and Avanade announced a copilot business transformation practice supported by Microsoft.