With the right tool you can scale data analytics to query big data without complexity:
Google Assistant
Leverage deep learning technologies and reference data with Google Assistant to get what you need when you need it.
Cortana Analytics Suite
Transform data to intelligent action. dotSolved can help you combine the capabilities provided by big data and machine learning with the Cortana Analytics Suite
Siri Search
Request into a query, search known databases for answers and apply analytics to your data using large-scale machine learning systems and artificial intelligence algorithms
Amazon Alexa
Employ the main aspects of data science—speech recognition and natural language processing—with Amazon Alexa.
Ok, Google. How do I use voice technology to optimize business processes?
dotSolved allows enterprises to leverage C-suite apps and use voice-based interfaces to query database systems.
Automatic speech recognition technology is advancing. Connected devices are multiplying. With dotSolved, you can leverage artificial intelligence and machine learning so voice technology can “think” and be more effective at handling enterprise search queries.
Benefits
Low total cost of ownership
Faster customer service response time
Easy to implement
dotSolved Voice Solutions
Voice enabled automation
Ensure usability of voice handled applications with devices like Alexa, Google Home, and Cortana
Tailored skill development
We analyze and advise on the risks and benefits of our solutions to your use cases and possible scenarios
Recommendation Engine
Build a solid AI recommendation process based on demographics, frequent requests, preferences, and history analysis
Virtual Assistant
Build advanced, conversational assistants to work and fulfill tasks for you
Voice Clarity and Accuracy
dotSolved’s linguistic and enunciation experts use best practices in voice recognition commands
Monitoring and Analytics
Use AI algorithms and voice-enabled applications to monitor and analyze data
Other NLP-based solutions
Translation

Reconstruct languages in a way that makes sense using ML and NLP
Speech Recognition

Teach devices to identify and interpret phrases and translate them into commands
Sentiment Analysis

Use machine learning to interpret and analyze customer sentiment
Market Intelligence

Pick up on search queries and gather trends for strategic decision-making