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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
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Natural Language Market To Surpass $40 Billion By 2025

Natural Language Market To Surpass $40 Billion By 2025

Chatbot

Initial setup costs remain a barrier to market growth, as well as a lack of skilled professionals to implement NLP.

Written By

Aug 17, 2020

The natural language processing market, which includes machine translation, information extraction, summarization, text classification and sentiment analysis, is expected to reach a $41 billion valuation by 2025.

An increase in demand for analyzing conversations and social media, alongside other customer experience enhancements, are considered key drivers for NLP, according to Adroit Market Research.

SEE ALSO: Promethium Combines AI and Natural Language to Automate SQL Requests

Another segment expected to see growth is automated customer support centers, which can reduce the amount of time a person is on a call and the amount of redirects.

Initial setup costs remain a barrier to market growth, as well as a lack of skilled professionals to implement NLP, according to Adroit. However, new business models based on usage may reduce both issues, as organizations will be able to pick off-the-shelf software to fit their needs.

Some of the most significant companies operating in the NLP market, according to Fortune Business Insights, are:

3M
Adobe Systems
Amazon Web Services
Apple
Google
Hewlett Packard Enterprise
Intel
IBM
Microsoft
SAS

Consumer technologies, such as Siri, Google Assistant, and Cortana, are not expected to see significant improvements in usage or value. Instead, these systems will be further integrated into the respective operating systems, working in the background to optimize user experience.

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

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