integrate


Achieving Human-Level Intelligence through Integrated Systems and Research

AI Magazine

This special issue is based on the premise that in order to achieve human-level artificial intelligence researchers will have to find ways to integrate insights from multiple computational frameworks and to exploit insights from other fields that study intelligence. Articles in this issue describe recent approaches for integrating algorithms and data structures from diverse subfields of AI. Much of this work incorporates insights from neuroscience, social and cognitive psychology or linguistics. The new applications and significant improvements to existing applications this work has enabled demonstrates the ability of integrated systems and research to continue progress towards human-level artificial intelligence. However, we believe that progress towards human-level artificial intelligence and the applications it enables requires a deeper and more comprehensive understanding that cannot be achieved by studying individual areas in isolation.


How Small Businesses Can Integrate Machine Learning Into Their Model

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Small-business owners are always on the hunt for opportunities that can give their businesses a leg up. In the past, small business owners have eagerly adopted software-as-a-service products, transitioned to cloud infrastructure and embraced self-service digital advertising. Today, one of the most exciting opportunities is the potential to leverage machine learning (ML) to give your business a competitive advantage. ML solutions automate workflows, enhance data-driven decisions and facilitate interactions with customers. Two factors that are making ML accessible to small businesses are the commoditization of machine learning algorithms and the democratization of pre-trained ML models.


How Small Businesses Can Integrate Machine Learning Into Their Model

#artificialintelligence

Small-business owners are always on the hunt for opportunities that can give their businesses a leg up. In the past, small business owners have eagerly adopted software-as-a-service products, transitioned to cloud infrastructure and embraced self-service digital advertising. Today, one of the most exciting opportunities is the potential to leverage machine learning (ML) to give your business a competitive advantage. ML solutions automate workflows, enhance data-driven decisions and facilitate interactions with customers. Two factors that are making ML accessible to small businesses are the commoditization of machine learning algorithms and the democratization of pre-trained ML models.


How AI-powered Enterprise chatbot platforms are transforming the future of work - BotCore

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Artificial Intelligence – The one word that is at the tip of every technophiles tongue. Even though many may not understand the concept and functionalities of AI completely, we can say with a definite certainty that AI has successfully transformed virtually every aspect of both our personal and professional lives. With over 85% of global executives believing AI will allow their companies to obtain or sustain a competitive advantage, AI is for sure going to a play much larger role in enhancing the organizational work productivity. Out of the many applications of AI technologies, chatbots are the most popular and are currently making the biggest noise amongst top executives. We are not making this up.


AAPL Stock Rebounds After Apple Buying Shazam Report

International Business Times

Apple is reportedly closing in on a deal to purchase the audio recognition app Shazam--a popular app that can identify music, television show, movie or advertisement by listening to an audio clip--according to TechCrunch. No official price has been made public, though the deal is believed to be in the nine-figure range and has been rumored to be around $400 million. During its last funding round in 2015, Shazam was valued at more than $1 billion. The report was confirmed by the Financial Times, which reported the deal would value the London-based Shazam as worth "hundreds of millions of dollars" and would be one of the largest acquisitions in Apple's history. During its September 2017 earnings report, Shazam posted $54 million in revenue over the course of its 2016 fiscal year, a turnaround from its previous two years.


8 Examples of Artificial Intelligence (AI) in the Workplace

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David Cearley, vice president and Gartner Fellow, wrote that promises of artificial intelligence (AI) magically performing intellectual tasks that humans do and dynamically learning as much as humans is "speculative at best." However with 2018 rapidly approaching, AI is clearly on the minds of many businesses. Where are businesses practically applying AI in their digital workplaces? In October 2017, Cearley noted at the Gartner 2017 Symposium/ITxpo in Orlando, FL that Narrow AI currently holds the most promise. Narrow AI is composed of "highly scoped machine-learning solutions that target a specific task (such as understanding language or driving a vehicle in a controlled environment) with algorithms chosen that are optimized for that task," he says.


Hey, Cortana: What do you think of Alexa for Business?

ZDNet

Video: What Amazon's voice service could do for the enterprise On Nov. 30, Amazon announced that Alexa is heading straight into Microsoft's productivity wheelhouse, with the new Alexa for Business service. A quick look at the already-available Alexa for Business skills -- dialing into conference calls, controlling conference room settings, provisioning and managing individual and shared Echo devices -- makes it clear that Amazon isn't content to keep Alexa primarily inside the home/consumer space. If you're Microsoft, you have to be worried. I can't help but wonder about how much of the Alexa for Business plan Microsoft CEO Satya Nadella was privy when he signed that Alexa-Cortana partnership deal this summer. In August, this was Amazon's positioning of why it partnered with Microsoft for Cortana: After today's announcement, I'm not sure why anyone using Alexa would need or want to ask Cortana to book a meeting or check a work calendar.


5 Ways Small Business Owners Can Benefit from Artificial Intelligence Today

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Artificial intelligence and machine learning are often associated with tech giants like Google and Amazon that have created the most popular machine learning libraries and platforms. Since efficient AI/ML solutions require vast volumes of costly data to train, small companies are often reluctant to integrate AI into their business workflow. These worries are overblown though. These days, turning your small business into a full-fledged data-driven company might be easier than you think. To prove this, here are five easy tips on how to kickstart AI transition of your small company right now.


3 tactics to successfully integrate AI into your enterprise

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AI investments are expected to surge 300 percent in 2017 compared to 2016, yet most of these businesses will fail to get it right. My team recently partnered with Fortune Knowledge Group to survey 300 senior executives about their AI strategies and found that only a quarter of organizations are seeing significant impact from AI. This is more than a matter of wasted IT funds -- it is an indication of a much larger issue. AI technology is a key part of business transformation, and companies that fail to get it right risk losing their competitive advantage. They are missing a huge opportunity.


3 AI Trends for Enterprise Computing

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For workers at a logistics company in the EU who have to transact and work across borders on a daily basis, AI is not some black box technology; it is already ushering in material improvements in their productivity and efficiency. A pan-EU logistics company piloted a natural language processing interface that allowed a driver, who speaks Slovenian, to interact with a forklift operator, who speaks German, to communicate through automated translations and quickly unload the freight. As a result they were able to better meet the company's business outcomes of fast, efficient transport. Companies will gain capabilities they otherwise couldn't achieve by applying AI to narrow and specific business problems. "AI projects grant organizations the superpowers to classify and predict in ways mere mortals cannot achieve alone," said Whit Andrews, vice president and distinguished analyst, during the Gartner Symposium/ ITxpo 2017 in Orlando, Florida.