Results


AI will fundamentally change how we manage content

#artificialintelligence

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

#artificialintelligence

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.


How to build IT competencies for the AI era

@machinelearnbot

Artificial intelligence (AI) companies generated an estimated $8 billion of revenue in 2016 and are on an incredible trajectory to increase that figure five times over the next three years. Enterprises are increasingly investing in artificial intelligence as a way both to drive down costs and transform customer and employee experiences. According to Accenture's Technology Vision 2017 survey of more than 5,400 IT and business executives, 79 percent agree that AI will help accelerate technology adoption throughout their organizations. While the disruptive growth of AI is a fact, the impacts to the workforce are more difficult for companies to articulate and address. What is clear is that leaders in every function must begin to take a nuanced view of the role that every type of worker – human and machine – will play in the workforce of the future.


Artificial intelligence: Lessons from the field ZDNet

#artificialintelligence

Artificial intelligence (AI) is having a huge impact on businesses in a variety of industries, including high tech. ServiceMax, a company that provides cloud-based field service software to help organizations manage contracts, scheduling, and parts, is a case in point. "We're constantly exploring different options and paths to incorporate artificial intelligence and machine learning into our product offering," said Indresh Satyanarayana, chief architect at ServiceMax, which was acquired by GE Digital in November 2016 to enhance is Industrial Internet of Things (IIoT) capabilities in field service. AI has become one of the great, meaningless buzzwords of our time. In this video, the Chief Data Scientist of Dun and Bradstreet explains AI in clear business terms.


Firing on All Cylinders: The 2017 Big Data Landscape

#artificialintelligence

Last year, we asked "Is Big Data Still a Thing?", observing that since Big Data is largely "plumbing", it has been subject to enterprise adoption cycles that are much slower than the hype cycle. As a result, it took several years for Big Data to evolve from cool new technologies to core enterprise systems actually deployed in production. In 2017, we're now well into this deployment phase. The term "Big Data" continues to gradually fade away, but the Big Data space itself is booming. We're seeing everywhere anecdotal evidence pointing to more mature products, more substantial adoption in Fortune 1000 companies, and rapid revenue growth for many startups.


"Above the Trend Line" – Your Industry Rumor Central for 3/27/2017 - insideBIGDATA

#artificialintelligence

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. Our intent is to provide our readers a one-stop source of late-breaking news to help keep you abreast of this fast-paced ecosystem. We're working hard on your behalf with our extensive vendor network to give you all the latest happenings. Be sure to Tweet Above the Trend Line articles using the hashtag: #abovethetrendline.


AI will transform information security, but it won't happen overnight

#artificialintelligence

Although it dates as far back as the 1950s, Artificial Intelligence (AI) is the hottest thing in technology today. An overarching term used to describe a set of technologies such as text-to-speech, natural language processing (NLP) and computer vision, AI essentially enables computers to do things normally done by people. Machine learning, the most prominent subset of AI, is about recognizing patterns in data and computer learning from them like a human. These algorithms draw inferences without being explicitly programmed to do so. The idea is the more data you collect, the smarter the machine becomes.


AI will transform information security, but it won't happen overnight

#artificialintelligence

Although it dates as far back as the 1950s, Artificial Intelligence (AI) is the hottest thing in technology today. An overarching term used to describe a set of technologies such as text-to-speech, natural language processing (NLP) and computer vision, AI essentially enables computers to do things normally done by people. Machine learning, the most prominent subset of AI, is about recognizing patterns in data and computer learning from them like a human. These algorithms draw inferences without being explicitly programmed to do so. The idea is the more data you collect, the smarter the machine becomes.


AI will transform information security, but it won't happen overnight

#artificialintelligence

Although it dates as far back as the 1950s, Artificial Intelligence (AI) is the hottest thing in technology today. An overarching term used to describe a set of technologies such as text-to-speech, natural language processing (NLP) and computer vision, AI essentially enables computers to do things normally done by people. Machine learning, the most prominent subset of AI, is about recognizing patterns in data and computer learning from them like a human. These algorithms draw inferences without being explicitly programmed to do so. The idea is the more data you collect, the smarter the machine becomes.


AI will transform information security, but it won't happen overnight

#artificialintelligence

Although it dates as far back as the 1950s, Artificial Intelligence (AI) is the hottest thing in technology today. An overarching term used to describe a set of technologies such as text-to-speech, natural language processing (NLP) and computer vision, AI essentially enables computers to do things normally done by people. Machine learning, the most prominent subset of AI, is about recognizing patterns in data and computer learning from them like a human. These algorithms draw inferences without being explicitly programmed to do so. The idea is the more data you collect, the smarter the machine becomes.