Chatbots


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.


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.


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.


Using AI to gather customer insights

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Evolving technology is enabling various other organisations – adtech companies and cloud software vendors, with the likes of Amazon and Google among them – to gather data and interpret customer insights much faster than traditional research methodologies. User experience analytics and optimisation business ContentSquare recently added an AI layer in the form of a bot named Arti. The company captures website user engagement data for brands such as L'Occitane to help them ensure every "block" of content on their sites is as potent, engaging and profitable as possible. "We understand how specific segments within your customer base interact with specific variations of the web experience," says Mr Mendellevich.


The AI fight is escalating: This is the IT giants' next move

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Businesses can dabble on the edges of these, for example developing Alexa "skills" that allow Amazon Echo owners to interact with a company without having to dial its call center, or jump right in, using the various cloud-based speech recognition and text-to-speech "-as-a-service" offerings to develop full-fledged automated call centers of their own. At Build in early May, it offered production versions of services previously only available in preview, including a face-tagging API and an automated Content Moderator that can approve or block text, images and videos, forwarding difficult cases to humans for review. The systems are available either already trained for particular tasks or as blank slates that can be trained on your data, and include image, text and video analysis, speech recognition and translation. This offers integrations with Amazon's speech recognition and understanding services, allowing businesses to create more sophisticated interactive voice-response (IVR) systems.


Botwriter: a new career for Hollywood wordsmiths

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This could all change--or rather has to change, because humans need emotional connection. Engineers are recruiting gifted authors and Hollywood screenwriters with sharp wits and a soft heart to make interactive conversational programs, known as bots, more human. One challenge they face is that the human user speaking into the microphone has high standards: the AI must have personality, and be trained to say the right thing at the right moment. At least, that is what Microsoft's experience would indicate: when their research chatbot Tay went online to engage internet users in conversation, it quickly became an obnoxious vessel for conspiracy theories and Holocaust denial.