-->
Natural Language/Machine Learning/Cognitive Learning > Features

Natural language, machine learning, and cognitive learning are the technologies that underly most Artifical Intelligence applications. Natural Language Processing (NLP) helps computers interpret and manipulate human language; Machine Learning (ML) provides systems the ability to automatically learn and improve without being explicitly programmed. Cognitive Learning (CL) combines ML and NLP. See below for the latest news and trends in NLP, ML, and CL.

Features

Voice Search Sees Business Boost

Companies are starting to use voice search for internal operations, but challenges remain.

Teaching with Speech

Voice technology has infiltrated the learning environment, improving schools for students and educators alike

As Speech Translation Advances, Barriers Continue to Fall

Technology improvements have pushed speech translation out to a smaller world

Companies Turn to IVAs to Deal with COVID Surges

Automated voice solutions have helped contact centers handle rising interaction volume during the pandemic

Overcoming Bias Requires an AI Reboot

Biases in artificial intelligence can be mitigated with multiple programmers

Speech Continues to Advance in the Contact Center

Companies should look to further automate customer service with voice technologies

Marketers Need to Optimize for Voice Search

The voice channel presents unique opportunities and challenges for marketers

Speech Technology's 2020 People's Choice Awards

The votes are in. You have spoken!

The State of the Speech Technology Industry

Artificial intelligence is improving almost every aspect of the speech industry.

The State of Speech Engines

Solutions are still trying to crack the conversational code

The State of Speech Developer Platforms

Vendors focus on back-end system integration and portability

The State of Assistive Technology

Accessibility solutions expand to new populations

The State of Artificial Intelligence

As AI becomes ubiquitous, voice technologies improve and expand into more areas

Artificial Intelligence and the Customer Journey

The combination of AI and speech technology is transforming the way marketers think about customer experience, but many are still hesitant to put plans into action, as consumer expectations may outpace technological reality.

Transformation in the Contact Center

Customer service has moved from call centers to a multichannel and now omnichannel customer experience approach, with cloud-based communications, well-designed IVR, and powerful reporting capabilities thanks to artificial intelligence (AI), chatbots, natural language processing (NLP), and more.

What Speech Technology Buyers Really Want: How to Meet the Needs of Enterprise Customers

The potential for speech technology to transform the enterprise is there, but more work is needed to improve the enterprise application development infrastructure to make buyers happy

How IVR with a Human Touch is Changing Healthcare

By putting "the human touch" into its IVR, executives at Wolters Kluwer Health are finding patients to be more responsive to automated calls, thereby reducing staffing costs and improving patient care.

Would You Like Fries With That? Speech Technology at the Drive-Thru

McDonald's recent acquisition of Apprente was big news, but voice-ordering is nothing new to the world of fast-food. This move just goes to show how important speech technology will be in the future of QSRs.

Higher Learning: AI, ML, and Speech Tech in Academia

Academics are at the forefront of the biggest AI changes in the industry. Learn more about the latest breakthroughs, the questions researchers are trying to answer, and the challenges they face.

The AI Skills Gap

The lack of AI and machine learning talent has left employers scrambling