Results


AI will fundamentally change how we manage content

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Perhaps it's not a coincidence that just this month, Box announced a partnership with Google to bring AI via image recognition technology to the cloud content management firm. Last week, M-Files, a hybrid content management solution, announced it was acquiring Apprento, a Canadian startup that uses natural language processing (NLP) and natural language understanding (NLU) to provide semantically based intelligent summaries. "In Apprento's case, we were first attracted to their practical experience with applying natural language processing (NLP) and natural language understanding (NLU) to practical business needs. All of these moves suggest that we could be in the midst of an industry shift that Levie and Patel alluded to, as content management firms try to use intelligence to make sense of the increasingly large amount of content moving into the enterprise.


Artificial Intelligence and the Role of Workers

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Already, robotic process automation (rules-based software) is rapidly advancing from handling traditional applications for repetitive tasks to handling continuously changing tasks. And, in fact, AI will gradually replace humans in some functions like customer service, personal assistants and document processing. Indeed, they're even thinner on the ground than they were in 2008 when, answering a similar question, CEOs indicated people with technological skills are more plentiful today than ever before. But one thing's clear: business leaders in all industries and functions must move rapidly to drive value from AI.


Deloitte disruption ahead IBM Watson

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While many technology players--large and small--are investing in developing cognitive computing or artificial intelligence (AI) solutions, as of March 2015, IBM is the only company marketing a cognitive computing platform that's specifically designed to support the development of a broad range of enterprise solutions. Deloitte has joined IBM in investing time, money, and people toward applying Watson technologies to help solve our client's business problems. IBM Watson combines natural language processing, machine learning, and real-time computing power to sift through massive amounts of unstructured data--documents, emails, journals, social posts, and more-- to answer questions fast. Like humans, Watson learns from experience and instruction. Cognitive computing is still in its infancy.


AI or Artificial Intelligence: What businesses need to know

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Artificial Intelligence (AI) has quickly become a hot topic in the last couple of years, thanks primarily to the rapid progression of software and the development of new and exciting (or new and scary, depending on your view) technologies. Movies and TV have long made us aware of the potential of AI, but many of the seemingly farfetched ideas are now closer to becoming a reality. And, as investment continues to grow, so too will the interest and success of such projects. It's also an area that has generated a huge amount of debate. Some of the most prominent figures in the technology industry, such as the likes of Tesla CEO Elon Musk and Microsoft founder Bill Gates, have publicly voiced their (rather differing) opinions on the future of AI.


Why 'intelligence everywhere' should concern CIOs everywhere

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We're in the midst of the biggest AI boom ever seen in the technology sector. While AI and certain types of machine learning have been in practical use for the better part of 30 years, there's no denying that the intense investment in the space is sending shockwaves through the industry. CBInsights reports that 2015 and 2016 are shattering records in VC deals and investment by dollars, which has emboldened hundreds of startups that are using AI as a core piece of their products and services. I've been around long enough to know that in the tech sector, where there's money there's hype. While I have no doubt "intelligence everywhere" will become a sell-side reality in the next five years, the enterprise buy-side should be exceedingly cautious about buying into it without a clear plan.


Machine Learning as a Service to Reach $3.7B by 2021

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The Machine Learning as a Service (MLaaS) market size is estimated to grow from $613.4 million USD in 2016 to $3.7 billion USD by 2021, according to the company Research and Markets. The adoption of cloud-based technologies, strong need to understand customer behavior and advancements in technologies are increasing the adoption of MLaaS across end users. MLaaS – with the help of pattern recognition, advanced analytical methodologies and APIs – is able to make better decisions. The professional services segment is the largest contributor, whereas the managed services segment is expected to grow at the highest CAGR. Professional services include consulting and integration, support and maintenance, and network security services and analytics, which are increasing the growth and awareness of MLaaS as the biggest use case of NFV technology.


Registration Opens for Gigaom AI Now Conference in San Francisco

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Gigaom, the leader in emerging technology research, today announced that it will host its annual conference Gigaom AI Now in San Francisco, CA, February 15-16th. The one-and-a-half day conference, held at the Golden Gate Club, will share how companies are using AI today to drive significant ROI across every aspect of business, from administration to product development, sales and marketing, and customer experience. Attendees at this event will learn from world-leading practitioners how today's progressive businesses are applying the most innovative AI tools, platforms, and technologies in-house to drive revenue and improve operations across the enterprise. "In the last couple of years, AI has become the technology no enterprise can afford to ignore. It will change every department in almost every business.


Software AG Acquires Artificial Intelligence Company Zementis in the US

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RESTON, Va.--(BUSINESS WIRE)--Software AG (Frankfurt TecDAX: SOW) today announced that it has acquired Zementis, Inc. with headquarters in San Diego, California. Zementis Inc. provides software for "Deep Learning", a key capability in machine learning and data science, and a fundamental technology driving "artificial intelligence" (AI) development. Software AG sees the current machine learning and AI advances as the basis for the next generation of Internet of Things applications such as self-driving cars, personal digital assistants, medical diagnosis, predictive maintenance and robotics. Software AG has already embedded Zementis' ADAPA (Adaptive Decision and Predictive Analytics) into its Digital Business Platform to offer enterprises comprehensive insights for real time business analytics. The combination of Software AG's real-time streaming analytics and ADAPA predictive analytics delivers precise business and technical insights into customer behavior, market dynamics, security risks and sensor information from the Internet of Things (IoT).


The AI Era Ignited by GPU Deep Learning

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Soon, hundreds of billions of devices will be infused with intelligence. AI will revolutionize every industry. READ MORE 7. 7 The global ecosystem for NVIDIA GPU Deep Learning has scaled out rapidly. Breakthrough results triggered a race to adopt AI for consumer internet services: TRANSLATION RECOGNITION SEARCH RECOMMENDATIONS 8. 8 Cloud service providers, from Alibaba and Amazon to IBM and Microsoft, make the NVIDIA GPU deep learning platform available to companies large and small. Pinterest is Changing Online Retail with GPUs 12. 12 AI can solve problems that seemed well beyond our reach just a few years back.


Machine Learning as a Service to Reach $3.7B by 2021

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The Machine Learning as a Service (MLaaS) market size is estimated to grow from $613.4 million USD in 2016 to $3.7 billion USD by 2021, according to the company Research and Markets. The adoption of cloud-based technologies, strong need to understand customer behavior and advancements in technologies are increasing the adoption of MLaaS across end users. MLaaS – with the help of pattern recognition, advanced analytical methodologies and APIs – is able to make better decisions. The professional services segment is the largest contributor, whereas the managed services segment is expected to grow at the highest CAGR. Professional services include consulting and integration, support and maintenance, and network security services and analytics, which are increasing the growth and awareness of MLaaS as the biggest use case of NFV technology.