Bot technology

Bots, such as chatbots, use a compilation of machine learning, deep learning, natural language processing and natural language generation to communicate with humans. Learn how to develop and apply intelligent bot technology in the enterprise.

December 11, 2020 11 Dec'20
Nuance CTO: Conversational AI is the 'next big step'

Conversational AI has steadily grown more advanced over the past several years. Nuance CTO Joe Petro explains why the vendor is refocusing on the technology.
November 30, 2020 30 Nov'20
ServiceNow will acquire AI startup Element AI

ServiceNow's acquisition of an AI startup based in Montreal marks the latest move by the cloud computing giant to add more automation and intelligence to its platform.
November 25, 2020 25 Nov'20
Courses teach automation to prepare students for the workforce

At a California university, students in April Morris' class learn how to use RPA and analytics tools. They hope to use the skills to get jobs out of school.
November 17, 2020 17 Nov'20
UiPath platform update makes it easier to deploy smarter bots

A new platform upgrade for UiPath makes it easier for users to develop and use robots at scale, as well as makes the bots more resilient to UI changes.

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artificial intelligence

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Continue Reading
Neuro-symbolic AI emerges as powerful new approach

The unification of two antagonistic approaches in AI is seen as an important milestone in the evolution of AI. Read about the efforts to combine symbolic reasoning and deep learning by the field's leading experts. Continue Reading
Capital One AI VP discusses AI assistant Eno

Eno from Capital One is an AI assistant that can give customers real-time banking updates and alerts to possible fraud attempts. In this Q&A, Capital One's VP of conversational AI goes over the basics of Eno. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

How AI can be used in agriculture: Applications and benefits

The use of agricultural AI optimizes the farming industry by decreasing workloads, analyzing harvesting data and improving accuracy through seasonal forecasting. Continue Reading
Advantages of AI in agriculture include increased efficiency

Artificial intelligence has the capacity to improve the supply chain and agricultural industry by improving demand forecasting and increasing productivity. Continue Reading
5 major benefits of machine learning in the enterprise

Businesses are inserting machine learning into processes wherever possible. Here are a few of the ways machine learning users are benefiting from machine learning. Continue Reading

Learn to apply best practices and optimize your operations.

Application of AI in robotics boosts enterprise potential

The combination of AI and robotics has allowed companies to move past automation and tackle more complex and high-level tasks with their robots. Continue Reading
RPA, AI bolster supply chain resilience in times of crisis

RPA bots and AI are behind-the-scenes essential personnel during COVID-19, working virtually alongside supply chain workers and sustaining goods and services lifelines. Continue Reading
RPA and AI strengthen weak links in supply chain workflows

Instead of an all-or-nothing approach to supply chain automation, RPA is most effective when targeted at subprocesses to improve high-volume, repetitive, error-prone tasks. Continue Reading

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Building a better conversational AI assistant requires emotion

Industry after industry is seeing benefits from chatbot implementation, but customers and developers are looking toward a future of more connected, intelligent conversational agents. Continue Reading
Collaborative robots' safety stalls enterprise implementation

Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading
The future scope of chatbots begins with addressing flaws

Chatbots are hot software in the enterprise, but to maintain longevity and relevance, developers need to take a look at the barriers to entry, interface options and NLP issues. Continue Reading