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Council Post: 15 Ways To Leverage AI In Customer Service

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"The customer always comes first"--it's a business mantra as old as time, but it's more relevant now than ever before. These days, the businesses that know their customers well enough and cater to their needs and lifestyles accordingly, come out on top. With artificial intelligence (AI) advancing at phenomenal rates, there are so many ways for businesses to use it to learn more about their customers and provide the support they're looking for. From gathering data to speech recognition and message response times, AI can enhance the customer experience in nearly every way when it's applied correctly. Here, 15 members of Forbes Business Council share their expert insight on how organizations can leverage AI to enhance their customer service.


8 Best Alternatives To OpenAI Safety Gym

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Two years ago, Open AI released Safety Gym, a suite of environments and tools for measuring progress towards reinforcement learning agents that respect safety constraints while training. Safety Gym has use cases across the reinforcement learning ecosystem. The open-source release is available on GitHub, where researchers and developers can get started with just a few lines of code. In this article, we will explore some of the alternative environments, tools and libraries for researchers to train machine learning models. AI Safety Gridworlds is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.


What Are The Three Domains of Artificial Intelligence?

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Real artificial intelligence (AI) is all about reality and causality, and how it is reflected in digital mentality and cyberspace or virtuality. There are two classes of Machine Intelligence, Non-Real AI and Real AI. Non-Real AI refers to the simulation of human intelligence in machines that are programmed to think and act like humans. The Real AI is all about reality, mentality and causality, and how it is reflected as digital mentality, or machine intelligence, in cyberspace or virtuality, or mixed reality. Virtuality (Digital Data Universe/Virtual World/Mixed Reality; cybernetics, computer science, AI, ML, DL, data science, data analytics, information engineering).


How AI translation could unseat English as the lingua franca of the business world

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Or in developed nations that are less wealthy than their closest neighbors, like my native Portugal. Because of the country's modest economic size, compared to most of Western Europe, many online companies have limited (or no) presence in Portuguese. British Airways, for instance, only offers customer service in Portuguese on weekdays during business hours--and they're a global airline with enormous operations in Europe. What's more, there are almost 230 million native speakers of Portuguese worldwide, the vast majority of them in Brazil (where, yes, British Airways also offers flights). It's the sixth most spoken language in the world.


Joke-cracking Chatbots Boost Learning Levels

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A team of researchers at Canada's University of Waterloo wondered whether a chatbot with a sense of humor, in getting a few laughs out of its teachers, might better motivate them, lower their stress and anxiety levels, and help them learn more. Technology has brought us many wonderful things, but chatbots are not one of them. On banking and e-commerce sites, for instance, where these text-based conversational agents have been pressed into service to replace customer-support staff, even simple requests are often met with baffling arrays of options. For example, a bank's online chatbot recently asked me which of four types of savings account I was interested in – but it did not explain how they differed from each other. When I typed in "I don't know" the bankbot replied tersely: "That is not an option".


Giving a Genetic Algorithm Control in a Physics Engine

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The most common/commercial application of AI is to gain insights or make predictions on a dataset. Even though I think that this is interesting, these techniques have been widely covered by others. This article covers a more experimental application of machine learning: this is allowing machine learning to manipulate a physics simulation. There is a lot of different possibilities of putting an AI into a physics environment, but all of them involve manipulating and controlling objects and forces in the environment. To get good results from this project, we need to add limitations to the AI's control in the environment.


Transitioning customer service to the gig economy - TechHQ

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The emergence of smartphone apps and online marketplaces have given rise to what has become known as the'gig economy'. Independent workers are hired for short-term projects or ad-hoc jobs, usually as independent contractors or freelancers. Nowadays, these'gigs' have come to be associated with the real-time delivery of goods or services, especially through digital mediums like Fiverr, Uber and Upwork which went into serious overdrive during the pandemic. The gig economy has exploded in popularity since then, and the Everest Group estimates that US gig work will surpass the permanent workforce by 2027, growing 40% by 2027 to reach 86 million gig workers. The economic challenges and supply chain breakdowns over the past year has seen many businesses relying on the gig economy in order to scale their customer support and sales services quicker, while slashing their fixed cost overheads.


The World of Reality, Causality and Real Artificial Intelligence: Exposing the Great Unknown Unknowns

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"All men by nature desire to know." - Aristotle "He who does not know what the world is does not know where he is." - Marcus Aurelius "If I have seen further, it is by standing on the shoulders of giants." "The universe is a giant causal machine. The world is "at the bottom" governed by causal algorithms. Our bodies are causal machines. Our brains and minds are causal AI computers". The 3 biggest unknown unknowns are described and analyzed in terms of human intelligence and machine intelligence. A deep understanding of reality and its causality is to revolutionize the world, its science and technology, AI machines including. The content is the intro of Real AI Project Confidential Report: How to Engineer Man-Machine Superintelligence 2025: AI for Everything and Everyone (AI4EE). It is all a power set of {known, unknown; known unknown}, known knowns, known unknowns, unknown knowns, and unknown unknowns, like as the material universe's material parts: about 4.6% of baryonic matter, about 26.8% of dark matter, and about 68.3% of dark energy. There are a big number of sciences, all sorts and kinds, hard sciences and soft sciences. But what we are still missing is the science of all sciences, the Science of the World as a Whole, thus making it the biggest unknown unknowns. It is what man/AI does not know what it does not know, neither understand, nor aware of its scope and scale, sense and extent. "the universe consists of objects having various qualities and standing in various relationships" (Whitehead, Russell), "the world is the totality of states of affairs" (D. "World of physical objects and events, including, in particular, biological beings; World of mental objects and events; World of objective contents of thought" (K. How the world is still an unknown unknown one could see from the most popular lexical ontology, WordNet,see supplement. The construct of the world is typically missing its essential meaning, "the world as a whole", the world of reality, the ultimate totality of all worlds, universes, and realities, beings, things, and entities, the unified totalities. The world or reality or being or existence is "all that is, has been and will be". Of which the physical universe and cosmos is a key part, as "the totality of space and times and matter and energy, with all causative fundamental interactions".


Formulating Agent Description and Environment for Artificial Intelligence's Product

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As per objective we need to create an agent which can classify the incoming text(message) as ham or spam only thus based on the agent type[1] this project agent falls under simple reflex agent as it takes action based on alone the current environmental situation i.e., it maps the current percept into proper action ignoring the history of percepts. The mapping process is simply a rule-based matching algorithm which is here Naïve Bayes. A function that specifies the agent's action in response to every possible percept sequence i.e., agent function maps perceptions into action and agent program, combined with a machine architecture, implements an agent function. An environment is everything that surrounds the agent that is not part of the agent itself. This is where the agent'lives' or operates, and provides the agent with something to sense and somewhere for it to move around.


AI execs unpack call center automation boom

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Join executive leaders at the Conversational AI & Intelligent AI Assistants Summit, presented by Five9. During the pandemic, enterprises turned to automation to scale up their operations while freeing customer service reps to handle increasingly challenging workloads. According to Canam Research, 78% of contact centers in the U.S. now intend to deploy AI in the next 3 years. And research from The Harris Poll indicates that 46% of customer interactions are already automated, with the number expected to reach 59% by 2023. The panel touched on how AI assistants can coexist with humans and help them to perform their jobs, while at the same time respecting existing customer service guardrails. "We're talking about a spectrum of technologies," Schebella said of automation broadly.