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Why Chatbots Are Key to the Future of Business Intelligence

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Business intelligence (BI) enables businesses to know more about their wider markets, internal process performance and progress over time. AI can be used as a built-in data analyst, finding the patterns and anomalies in your BI data that are significant to your business. This makes BI accessible -- and enables a natural data discovery process. Advanced AI chatbots, like Sisense BI Bot, are like assistant data analyst.


Why Chatbots Are Key to the Future of Business Intelligence

#artificialintelligence

Business intelligence (BI) enables businesses to know more about their wider markets, internal process performance and progress over time. AI can be used as a built-in data analyst, finding the patterns and anomalies in your BI data that are significant to your business. This makes BI accessible -- and enables a natural data discovery process. Advanced AI chatbots, like Sisense BI Bot, are like assistant data analyst.


Artificial Intelligence and the Evolution of a Smarter Internet

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Artificial Intelligence has already been creatively implemented in several ways across the internet to highlight content based on user-preference, show targeted advertisements, predict and manipulate behavioral traits amongst users and even create and design high quality content in a breeze. AdWords, Google's advertisement counterpart, makes heavy use of artificial intelligence to target visitors on the web and supply them with tethered advertisements customized according to their behavioral patterns. Apart from these, several content developers such as Netflix and Amazon Cloud have adapted similar artificial intelligence technologies to target users and provide them with a selective assortment of relevant content based on their browsing history. By minutely observing the online behavior of potential buyers, AI can allow any eCommerce to display targeted product recommendations and thus improve their chance of sales from new and returning buyers.


Apple Uses Its Chip Expertise To Move Ahead In AI

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This chip may operate along the same lines as Google's (NASDAQ:GOOG) Tensor Processing Unit (TPU) that accelerates certain specialized mathematical operations useful in AI. While he avoided revealing any specific Apple initiatives, his comments reveal his concerns that AI software requires enormous computing power. Gurman's article incorrectly states that Qualcomm (NASDAQ:QCOM) already has hardware AI acceleration in its Snapdragon 835. Qualcomm's Snapdragon Neural Processing Engine that Gurman refers to is in fact a set of software APIs.


A Look Into Magnolia's IBM Watson-Powered AI Personalization Engine

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By installing the Magnolia Silverpop Module, Magnolia customers with a Watson Marketing account can plug their Magnolia instances into IBM Watson, bringing further capabilities for personalized content delivery based on scoring models derived from visitor behavior. According to the company, Magnolia chose IBM Watson because it provides their users an avenue into personalization without the need to create more content. "We're working on improving tagging features -- a feature which will be introduced within the next months -- to enable personalization without having to create more content variants." The improved tagging features will be lighter and faster, and allow authors to tag any coarse-grained content element, including pages, products and events."


Google has reportedly launched a new AI-focused venture capital program

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Google declined to comment on the report, which states that the initiative will be led by longtime Google VP of engineering Anna Patterson and involve a rotating cast of engineers instead of the venture investors who work for Alphabet Inc.'s corporate venture unit, GV. It isn't completely surprising that Google might create an investing practice around AI, particularly given Google CEO Sundar Pichai's recent pronouncement that Google is becoming "AI first" rather than "mobile first." Indeed, AI was the running thread throughout the recent Google I/O developers conference, where the company introduced new tensor processing unit (TPU) chips that promise to more quickly train and run AI models for researchers and businesses; it also announced (among many other things) that its Google Assistant, the company's virtual personal assistant that's available on devices like the Google Home and Pixel phone, will soon grow more conversational. According to Axios, Patterson and company will reportedly be co-investing with GV when it makes sense to do so.


Apple Is Following Google Into Making A Custom AI Chip

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Apple is the latest company creating a dedicated AI processing chip to speed up the AI algorithms and save battery life on its devices, according to Bloomberg. The Bloomberg report said the chip is internally known as the Apple Neural Engine and will be used to assist devices for facial and speech recognition tasks. The latest iPhone 7 runs some of its AI tasks (mostly related to photographer) using the image signal processor and the graphics processing unit integrated on its A10 Fusion chip. But by having a more dedicated processor to more efficiently run those algorithms, Apple could speed up the image recognition as well as save reduce drain on the iPhone's battery.


UPS Revs Up Customer Experience, Integrates Chatbot With UPS My Choice

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UPS (NYSE:UPS) on Monday said it has integrated its customer-facing chatbot with UPS My Choice, allowing customers to obtain information about their incoming packages and recent deliveries without providing a tracking number. It then can provide customized information, including package location and delivery detail – all without a tracking number. Facebook Messenger and Skype users can find the UPS chatbot by searching for "UPS Bot." Amazon Alexa users can find it by searching for "UPS" in the Alexa Skill store and enabling the skill or by saying "Alexa, open UPS."


The Machines Aren't Coming, They're Already Here Overit

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AI can be used to power voice assistants, chatbots, integrated home technology, robots, and even self-driving cars. Purna later went on to discuss how more and more often, humans are beginning to rely on artificial intelligence and how further development of natural language AI and machine learning would help to achieve higher tech adoption rates. Within her presentation, she demonstrated the latest Cortana features, which could intelligently make calendar scheduling decisions, intuitively power online voice search and interpret natural language conversations much more fluidly than in previous versions. Purna also showed off the machine taught chatbot features that Microsoft is currently powering with its full suite of developer tools, essentially providing a brain to the otherwise useless chatbots we've seen in recent years.


How Future Robots In The Workplace Might Take Over Customer Service

International Business Times

Georgia Tech's College of Computing offers an online Knowledge Based AI course to 300 students each semester staffed by a professor and eight teaching assistants (TA). Ashok Goel, computer science professor at Georgia Tech, estimates that within one year, Watson's TA identity will be able to answer 40% of the questions submitted, and the majority of students to date didn't realize that their assistance wasn't coming from a human source. Online florist 1-800-FLOWERS.COM (NASDAQ:FLWS) launched its chatbot to help customers place an order or connect them with a human customer service representative. A recent survey of 5,000 consumers conducted by LivePerson, Inc (NASDAQ:LPSN), a leading provider of mobile and online messaging solutions, found that 55% of consumers would prefer a bot over a human, but only in situations where the bot is just as accurate as a human representative.