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Why chatbots may be the glue that holds IoT together

#artificialintelligence

As smart as today's conversational interfaces appear to be, when Alexa can't distinguish what the word "it" refers to in a sentence, how valuable is she really? Chatbots should be more than a party trick; and at this stage, many of their use cases leave much to be desired. But repairing their conversational shortcomings could create value where we never thought possible, and potentially be the engine that drives the IoT landscape forward. Machines don't understand context the way humans do, and solving this problem is the next step towards creating an interface that's truly conversational. Luckily, progress in machine learning and natural language processing is giving new meaning to "conversational" devices.


Your Business Conversational AI 10xGrowth

#artificialintelligence

Digital disruption through Artificial Intelligence will have a significant impact on the future landscape of any business, first in importance being Conversational AI driven assistants. Banks, Financial Institutions and many other industries have started to use chat/voice assistants to interact with customers and solve their problems without any human staff intervention. Research says that "almost 85% of global executives believe that AI will allow their companies to obtain or sustain a competitive advantage and going to a play a much larger role in enhancing organizational work productivity". Conversational AI, the front runner in this space, is revolutionizing the B2C and B2B organizational scenarios. Offering a'conversational self-service experience for their consumers and employees i.e., providing answers in real time' is currently one of the primary initiatives which Enterprises are taking up as a part of their Digital Transformation journey across every industry.


A Natural Language Conversational System for Online Academic Advising

AAAI Conferences

We have designed an academic advising online system to advise college students using natural language conversations. The system embeds knowledge of current and future teaching schedules, degree requirements, course prerequisites and various administrative procedures. While this information can be found by searching several university websites and catalogs, students continually ask human advisors these questions during their limited face-to-face time, which limits deeper developmental and educative advising that is only available from human advisors. Our system enhances the advising experience by offering a source for instant academic advice that does not require student training or additional human resources. The system contains a pattern-matching dialog management system with access via a web browser. We describe the motivation for our system, the design requisites, our approach for deployment, and analyze results from real-world field tests.


2018 Predictions for AI – Towards Data Science

#artificialintelligence

It's hard to believe, but 2017 is coming to a close and 2018 is right around the corner. Like most companies, Aiden.ai is in the middle of planning and prioritising for the new year. We have some big and exciting things in the works!


Beyond chatbots: How conversational AI makes customer service smarter

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Over the past few years, we've all encountered "Let's chat!" buttons on websites that promise a quick, helpful customer service experience. But heavily hyped AI-driven chatbots, an important part of the customer experience mix since 2016, have also proven to be a mixed bag. Consumers found many bot interactions disappointing and time-consuming. Meanwhile, enterprises often needed to provide far more costly care and feeding of chatbots than expected.