If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Data Analytics firm Research and Markets has released a new study, entitled "Digital Transformation 2019: 5G, AI, Big Data Analytics, Blockchain, Cloud and Mobile Edge Computing, Connected and Wearable Devices, Cybersecurity, Digital Twins and Teleoperation, IoT, Robotics, Smart Cities, and Virtual Reality," which evaluates key technologies involved in digital transformation including AI, Big Data Analytics, Edge Computing, and IoT. The report says that these technologies will all be germane to the evolution of many areas important to enterprise and industrial organizations including internal and external processes, products and services, virtualization, and OSS/BSS. These issues are also the theme of the upcoming IoT Evolution Expo 2020: The Thinking IoT Arrives, which will take place in Ft. Click here to survey the AI and Intelligence-rich agenda and get registered now. The enterprise and industrial sectors are rapidly digitizing products and services, the report finds, including software-controlled and virtualized infrastructure and leveraging next-generation connectivity, signaling, and automated decision-making algorithms.
Researchers at University of Washington and University of California, Los Angeles, have developed an artificial intelligence system that could help pathologists read biopsies more accurately, and lead to better detection and diagnosis of breast cancer. Doctors examine images of breast tissue biopsies to diagnose breast cancer. But the differences between cancerous and benign images can be difficult for the human eye to classify. This new algorithm helps interpret them -- and it does so nearly as accurately or better than an experienced pathologist, depending on the task. The research team published its results Aug. 9 in the journal JAMA Network Open.
For some time, we've been hearing about how automation -- and lately, artificial intelligence -- is killing jobs, robotizing tasks, and working overtime to make everyone's workdays a total misery. Now, a new study suggests that automation may actually make worklives a little better, taking away the boring and tedious tasks and leaving more interesting stuff for humans. That's the takeaway from a survey of 34,000 workers in 18 countries worldwide, sponsored by Verint, which finds technology may help more than it hurts when it comes to workplace stress. Many of us may have intuitively known this, of course -- the handiness of mobile, the ability to share working docs online, the ability to communicate at a moment's notice, the ability to grab and verify information -- have helped ease many working situations. It's good to see this verified in a large-scale study.
Another day, another AI fail. Dismal project success rates between 10% to 50% continue to plague countless artificial intelligence programs. Surveys from Gartner, IDC, O'Reilly and other sources reveal most organizations run into the same preventable challenges when embarking on an AI journey. What can you do to improve your chance for AI success? In this article, I'll share several tips that I've learned from working with exceptional AI-driven enterprises around the world.
Autonomous mining equipment is set to increase overall productivity. In addition, these machines are able to work around the clock without tiring while also minimizing costly and potentially fatal mistakes. If a machine gets stuck in a mine we can always retrieve it at a later time and date without worrying about it dying. We can't do the same with a human. Because of this, Komatsu Mining has built a wide range of AI-powered autonomous equipment being used in a variety of hostile environments.
Artificial Intelligence and digital marketing are beginning to go hand in hand. With the ability to collect data, analyze it, apply it and then learn from it- AI is transforming digital strategy. As it continues to advance, so will the capabilities to use it to improve digital marketing strategies and valuable customer insights for companies. Here are 3 ways AI is changing digital marketing for the better. The most important aspect of a successful digital marketing strategy is great customer experience.
I am a Mechanical engineer by education. And I started my career with a core job in the steel industry. But I didn't like it and so I left that. I made it my goal to move into the analytics and data science space somewhere around in 2013. From then on, it has taken me a lot of failures and a lot of efforts to shift.
From all indicators, robots as a service (RaaS) is growing rapidly. ABI Research predicts there will be 1.3 million installations of RaaS by 2026 generating $34 billion in revenue. Let's look at what robots as a service entails, the reasons for its growth and some companies that offer RaaS solutions and the tasks it can support. Many are now familiar with the concept of software as a service (SaaS) or big data as a service (BDaaS), the pay-as-you-go or subscription-based service model. In a similar set-up, those who sign up for robots as a service get the benefits of robotic process automation by leasing robotic devices and accessing a cloud-based subscription service rather than purchasing the equipment outright.
It's not for the lack of trying or spending millions on developing and building huge data systems, the problems are many but can be traced back to one simple thing; Clients have been sold that data gives them the answers and that big data will close the loop for them to understand the upstream and downstream thinking of their customers, WRONG. Douglas Adam's said "But even Amazon has only got part of the picture. Like real world shops, they can only record the sales they actually make. What about the sales they don't make and don't know that they haven't made because they haven't made them?" Douglas Adams "The Salmon of Doubt" by Permission of Pan Macmillan. That pretty much covers the problem if you extrapolate the thinking for Data Analytics, Big Data or even Artificial Intelligence based Data and Decision systems.
Companies know that employee turnover is expensive and disruptive. And they know that retaining their best and brightest employees helps them not only save money but also preserve competitive advantages and protect intellectual capital. Most retention efforts, however, rely on two retrospective tools. First, exit interviews are conducted to better understand why people chose to leave, though by this point, it is usually too late to keep them. Second, annual employee surveys are used to assess engagement.