If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Artificial intelligence is infiltrating every industry, allowing vehicles to navigate without drivers, assisting doctors with medical diagnoses, and mimicking the way humans speak. But for all the authentic and exciting ways it's transforming the tasks computers can perform, there's a lot of hype, too. As Jeremy Achin, CEO of newly minted unicorn DataRobot, puts it: "Everyone knows you have to have machine learning in your story or you're not sexy." The inherently broad term gets bandied about so often that it can start to feel meaningless and gets trotted out by companies to gussy up even simple data analysis. To help cut through the noise, Forbes and data partner Meritech Capital put together a list of private, U.S.-based companies that are wielding some subset of artificial intelligence in a meaningful way and demonstrating real business potential from doing so. One makes robots that can whir around shoppers to help workers restock shelves. Another scans recruiting pitches for unconscious bias. A third analyzes massive data sets to make street-by-street weather predictions. To be included on the list, companies needed to show that techniques like machine learning (where systems learn from data to improve on tasks), natural language processing (which enables programs to "understand" written or spoken language), or computer vision (which relates to how machines "see") are a core part of their business model and future success. Find all the details on our methodology here.
Vilynx is working with the largest media and publisher companies in the US and Europe to drive their growth and change the way the data is being understood. We are developing leading edge AI and Machine Learning technologies that help drive customer engagement and brand loyalty. You would be joining a young team with of some of the top talent in areas like machine learning, deep learning, computer vision, natural language processing and analytics. We are building a rocking front-end team, capable of doing such things like a single plugin that modifies the DOM of thousands of pages, and brokes nothing, working with the latest stable technologies such ES6 and Typescript. We are looking for people capable of pushing his own limits, that fears nothing and embrace the unknown.
In May, the United Nations released a troubling report, arguing that female-sounding voices for AI assistants such as Apple's Siri and Amazon's Alexa perpetuate gender biases and encourage users to be sexist. Now, Google has come out to explain why it chose to give its Assistant a female-sounding voice -- and the search giant says it has nothing to do with gender biases and everything to do with the available technology. According to Google Assistant product manager Brant Ward, Google initially planned to launch Assistant with a male voice. The problem, he told Business Insider, was that the audio produced by text-to-speech systems was easier to understand if delivered in a higher-pitched, female-sounding voice. "At the time, the guidance was the technology performed better for a female voice," Ward said.
Chatbots have emerged as a great option for providing a 24/7 self-service solution to address a host of customer support requirements. They enable customers to get their questions answered in real-time and they free up support staff from having to field high volumes of repetitive inquiries. And with advances in artificial intelligence and machine learning, chatbots are becoming extremely effective at providing a cognitive and conversational experience that your customers will love. As chatbot adoption has increased, various types have entered the market to address different requirements. For example, chatbots built for specific B2C or B2B support use cases, called transactional bots, are very different from those built for more wide-ranging applications, referred to as knowledge bots.
With Intent Recommendations, rather than manually training Watson Assistant you can upload pre-existing chat or call logs so Watson can train based on real user questions and utterance, creating more accurate interactions for your customers. Additionally, using the logs, Watson can identify new topics and highlight gaps in training, through unsupervised machine learning. For instance, your customer base might be saying, "How do I cancel my card?" or "My card was stolen", but your assistant doesn't recognize "cancel card". Watson will identify the new intent, "cancel card," to be trained on, which dramatically decreases the time it takes to train your virtual assistant. By surfacing these new intents, Watson will continue to get smarter and faster, as customer interactions change over time.
At this point, nearly every enterprise is looking for skilled data scientists to wade through buckets of information and glean actionable business insights. However, a shortage of professionals in the field, and the unique combination of skills the role requires, makes finding the right hire difficult, said Pavel Dmitriev, former principal data scientist for analysis and experimentation at Microsoft, and current vice president of data science at Outreach. "It's extremely hard to try to find and hire good data scientists," Dmitriev said. One reason for this is that data scientists require a combination of hard and soft skills to succeed, he added. There is also a change underway in the data scientist role:The vision of a data scientist is shifting from someone who is given information and a problem, to someone who understands the most pressing business problems that can be solved with data, and then can go collect that data and work with other teams throughout the company to drive value, Dmitriev said.
To make the process of finding hotels, restaurants, and booking easy for their customers and provide better service, the hospitality industry has engaged bots for their functioning and is coming out with a huge success. Bots are becoming a hub for marketing products and increasing sales in the retail sector. They help in conversion even when the physical store is not open, and people still are interested in their products only through chatbots.
Unemployed Artificial Intelligence (AI) ex perts are as elusive as the abominable snowman of the Himalayas. In fact, in my AI career, which spans more than two decades, I have never met one. However, in the past year, ever since the media woke up to the amazing world of AI, I have been receiving queries like: since AI is a new thing, will I find a job once I graduate? I've never seen an advert for an AI expert, etc. I don't blame people for asking these questions.
There's a reason a new product announced by Amazon 12 months ago never got released to the general public. The product has an unbelievably affordable price at $25 and was only offered initially by "invite-only," on a first-come, first-come basis. I did get my invite recently, forked over the big bucks, and tested the unit in my 2012 Hyundai. The tiny unit, which looks like the old iPod Nano, but with an Amazon smile splashed across the front, connects to the 12-volt car socket for power, and your smartphone's Bluetooth to bring the Internet to your car, thus bringing audio through your car stereo without hanging to hassle with wires. Amazon's Echo Auto brings Alexa into the car (Photo: Jefferson Graham) Look who's listening now: Hey, Siri, Google and Alexa – enough with the snooping The good: You can bring Amazon's personal assistant to the car, to play on-demand music, news and podcasts for you, read back your latest e-mail, find the nearest gas station, tell you what's on your calendar and help you locate the nearest Starbucks.
Artificial intelligence (AI) has done wonders for the industries it's been integrated into. For several industries, AI has been used to automate time-consuming tasks and help employees focus on other important aspects of the job -- of course, automation is just one of AI's benefits. The technology can also be used for data mining, real-time customer assistance, personalizing offers, and others. These are just some of the many reasons why business owners are now signing up to AI courses and are starting their journey towards understanding the technology better. With a growing pool of customers, time is essential for marketers and business owners, using AI cuts the time they spend doing their tasks drastically -- leaving them more focused on other more important aspects of their marketing campaigns.