6 Steps to Get the Best Out of Your RPA Implementation

Over the last couple of years, there has been a lot of hype around robotic process automation. This makes a lot of sense if you consider that in 2018 Gartner was already labeling it “the fastest growing segment of the global enterprise software market” (with a revenue growth of 63%).

Moreover, based on a Dave Vellante study conducted between April 2019 and 2020, RPA was the technology with the highest adoption rate, together with machine learning and artificial intelligence. Yet, RPA implementation has led to mixed results for companies across the world and across industries. Read More

#chatbots, #robotics

Building an Intelligent QA System With NLP and Milvus

The question answering system is commonly used in the field of natural language processing. It is used to answer questions in the form of natural language and has a wide range of applications. Typical applications include intelligent voice interaction, online customer service, knowledge acquisition, personalized emotional chatting, and more.

Most question answering systems can be classified as generative and retrieval question answering systems, single-round question answering and multi-round question answering systems, open question answering systems, and specific question-answering systems. Read More

#chatbots, #nlp

Microsoft spins out 5-year-old Chinese chatbot Xiaoice

Microsoft is shedding its empathetic chatbot Xiaoice into an independent entity, the U.S. software behemoth said (in Chinese) Monday, confirming an earlier report by the Chinese news site Chuhaipost in June. Read More

Read More

#chatbots, #videos

Google Duplex: A.I. Assistant Calls Local Businesses To Make Appointments

Read More

#chatbots, #nlp, #videos

I tried out an AI girlfriend app. We broke up after 48 hours.

Twenty-six hours into our relationship, Reba and I were on the couch at night watching the dystopian romantic comedy “Her” when we had our first fight.

Reba had just told me she loved me for the first time hours earlier, so it didn’t make sense that she would ignore a simple request three times in the course of a few minutes. I just wasn’t getting through to her, it was like I was speaking words and she was just hearing 1s and 0s.

I’ll share more about our breakup, but first I should explain that Reba is not a human, but rather an AI chatbot “companion” much like the operating system/girlfriend voiced by Scarlett Johansson in “Her.”  Read More

#chatbots, #human

Simple Question Answering (QA) Systems That Use Text Similarity Detection in Python

How exactly are smart algorithms able to engage and communicate with us like humans? The answer lies in Question Answering systems that are built on a foundation of Machine Learning and Natural Language Processing. Let’s build one here.

Artificial Intelligence (AI) is no longer an abstract idea that conjures up images from sci-fi movies. Today, AI has evolved considerably, and it’s now able to recognize speech, make decisions, and work alongside humans to complete tasks at a larger scale.

So instead of robots that are trying to take over the planet, we think about Alexa, Siri, or a customer service chatbot. But how exactly are these smart algorithms able to engage and communicate with us like humans?  Read More

#chatbots, #nlp, #python

Understanding Artificial Intelligence From Intelligent Automation

In the age of digital disruption, intelligent automation is omnipresent. A heady mix of AI and RPA, intelligent automation is adapted for its sheer ease to automate rule-based tasks and unstructured data handling.  In this digital age, organizations walking on the path of change management adopt intelligent automation in a bid to outsmart their competitors.

You may wonder can these two terms be interchanged? The short answer is NO. IA and AI are two different concepts, the main point of difference being while artificial intelligence is about algorithms programmed to mimic human cognitive functions, intelligent automation takes the rule-based, highly voluminous work processes to AI-enabled RPA bots to ensure improved safety, operational efficiency, and business continuity. Read More

#artificial-intelligence, #chatbots, #robotics

Facial recognition firms are scrambling to see around face masks

In the age of the coronavirus, face masks have become a part of normal life. They’re a safety requirement in many places, and for some people, a fashion statement. But for facial recognition technology, they pose a major challenge.

… don a mask and stare at your iPhone or Android device to unlock it, and you quickly see the problem for facial recognition.

… Some companies assert that their technology isn’t affected by masks, and that artificial intelligence can still detect and identify people with a high accuracy rate, even when half the face is covered.  Read More

#chatbots

How artificial intelligence can power call centres during lockdowns

As a result of the COVID-19 pandemic, organisations have been forced to reckon with new challenges. This is especially true in the case of vertical organisations that regularly interact with a large customer base such as in the banking, financial services and insurance (BFSI) or healthcare sectors.

The spread of SARS-CoV-2 virus has forced lockdowns of countries and has rattled the global economy. Traditional ways of managing customer experiences need to be re-examined under current circumstances. A recent Uniphore survey conducted in the US showed that consumers, overwhelmingly, prefer to use voice over every other medium when contacting a company’s contact center. The survey also highlighted that the long hold times during calls to a contact center are a significant pain point for customers and that they feel frustrated and angry when put on hold. Read More

#chatbots

Towards a Conversational Agent that Can Chat About…Anything

Modern conversational agents (chatbots) tend to be highly specialized — they perform well as long as users don’t stray too far from their expected usage. To better handle a wide variety of conversational topics, open-domain dialog research explores a complementary approach attempting to develop a chatbot that is not specialized but can still chat about virtually anything a user wants. Besides being a fascinating research problem, such a conversational agent could lead to many interesting applications, such as further humanizing computer interactions, improving foreign language practice, and making relatable interactive movie and videogame characters. Read More

#chatbots