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Cutting Through the Hype of Automation

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There's currently a lot of debate swirling around automation, AI and their future within the workplace. Broadly speaking, there are two prevailing schools of thought on the issue. On the one hand there are fears that increasing levels of automation will render a growing number of job roles unnecessary, leaving human workers redundant and sparking a worldwide employment crisis. The popular "robots stole my job" argument. On the other is a more hopeful vision, and one that's less likely to gain the same kind of traction in national media.


Google's new cloud service lets you train your own AI tools, no coding knowledge required

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Offering off-the-peg AI services like image and speech recognition is a key part of Google's pitch to customers as a cloud computing provider. The company is now taking its AI-easy approach one step further with Cloud AutoML, a new tool that will let users train their own custom machine learning algorithms from scratch, without having to write a single line of code. You might have heard of Google's AutoML initiative before now. It was announced at the company's I/O conference last year, and is focused on creating machine learning software that can design machine learning software, a hot area of research in the AI community. Cloud AutoML isn't working with tools as sophisticated as this, but it does aim to solve the same underlying problem of making AI less painful to code.


Microsoft sees need for regulation, laws to check AI advances

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The rapidly advancing area of artificial intelligence will require a new field of law and new regulations governing a growing pool of businesses involved, according to Microsoft Corp, a 25-year participant in AI research. Companies making and selling AI software will need to be held responsible for potential harm caused by'unreasonable practices' – if a self-driving car program is set up in an unsafe manner that causes injury or death, for example, Microsoft said. And as AI and automation boost the number of laborers in the gig-economy or on-demand jobs, Microsoft said technology companies need to take responsibility and advocate for protections and benefits for workers, rather than passing the buck by claiming to be'just the technology platform' enabling all this change. Microsoft broaches these ideas in a 149-page book entitled "The Future Computed," which will also be the subject of a panel at the World Economic Forum in Davos, Switzerland, next week. As Redmond, Washington-based Microsoft seeks to be a leader in AI and automating work tasks, it's also trying to get out in front of the challenges expected to arise from promising new technologies, such as job losses and everyday citizens who may be hurt or disadvantaged by malfunctioning or biased algorithms.


Big Data, Small Target: The Smart Approach To Artificial Intelligence

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Companies that have invested heavily in big data solutions want to know how to make smart, strategic investments that will distinguish them from the competition and enable the best possible return before making the decision to go all in. In the past, not all enterprise big data initiatives went as planned. These failures are not usually published, but the big data failure rate is unusually high. According to Gartner, only 15% of businesses make it past the pilot stage of these projects. Our fear, as leaders of technology companies, is that with so much attention surrounding AI, the pressure is on to apply the technology or risk falling behind the many decision makers who are adopting technologies without first establishing clear business goals and understanding the differences between AI and ML and how they should be applied.


Understanding artificial intelligence and machine learning in digital business

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The problem of learning and decision-making is at the core of human and artificial thought, which is why scientists introduced machine learning (ML) into artificial intelligence (AI). AI is a platform or solution that appears to be intelligent and can often exceed the performance of humans. It is a broad description of any device that mimics human or intellectual functions, such as mechanical movement, reasoning or problem solving. ML is a widely used AI concept that teaches machines to detect different patterns and adapt to new circumstances and can be both experience- and explanation-based. For instance, in robotics, ML plays a vital role by optimizing machine-based decision-making, which eventually increases a machine's efficiency by enabling a more organized way of performing a particular task.


Seven Trends in IoT that will define 2018

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Our physical world with devices is being reinvented every day with newer products that are getting very personalized, intelligent with unique features. It's almost difficult to imagine life without today's electronic devices, and for the younger generation, it's always been a part of daily life. As IoT continues to expand into more verticals, we will certainly see an increase in devices connected to the network in different areas. In the healthcare industry, where the IoT market is growing, solutions will include more IoT devices for workflow optimization, remote monitoring and medication adherence. In retail, IoT devices will continue to be used to offer customers new services, improve the customer experience and penetrate new markets.


AI enhancing information management

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When it comes to managing information across a company, the focus should be on what a file is and how it's used, not where it's coming from, according to the creators of M-Files. That's the foundation for M-Files 2018, the intelligent information management system developed by Finnish-based M-Files Corp., says Greg Milliken, SVP of marketing. "The traditional approach doesn't work anymore," said Milliken during a recent briefing call, referring to systems that further isolate information and aren't seamlessly accessible across a network within a business. "And the longer businesses hold on to this method, the worse it gets." With the help of AI tools that users can access through a unified interface, Milliken said information can now be accessed regardless of the system they originated from.


6 internet of things trends that will dominate 2018

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The internet of things (IoT) and industrial internet of things (IIoT) will breakout in 2018, with organizations ramping up deployments and incorporating IoT technologies into their products, processes and workflows. Research firm Gartner predicts there will be nearly 20 billion devices connected to the IoT by 2020, and IoT product and service suppliers will generate more than $300 billion in revenue. We spoke with a number of IT leaders and industry experts about what to expect from IoT deployments in the coming year. Following are six IoT trends to watch in 2018. Scott Gnau, CTO of Hortonworks, predicts 2018 will be the year of consumer IoT.


AI is moving into the enterprise mainstream

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Artificial intelligence is often seen as being a technology of the future, but a new study from natural language processing company Narrative Science reveals that 61 percent of businesses are already using AI. Interest and investment in the technology is increasing too, 71 percent of respondents say their company has an'innovation strategy' to drive investments in new technologies like AI. A majority of companies say they have budget dedicated to enabling innovation (59 percent) and expect that outlay to increase in 2018 (62 percent). Business intelligence and finance are the areas where there's most interest in the benefits of AI. 90 percent of respondents working in business intelligence say they would be interested in applying AI to their data analytics and tools. While 87 percent of respondents working in finance departments would be interested in applying AI to automatically generate insights and reporting in human-sounding language.


The Human Factor Is Key To Business Success In The Digital Age

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If the business community has learned anything over the last 10 years, it's how to prevail in a difficult market environment. Driven by economic challenges, organizations have learned how to work leaner, cut costs and use digital technologies to survive. But, in a time when a wealth of new opportunities are emerging, many still are not thriving because they're ignoring the human factor -- people, a highly irreplaceable resource in the digital age. More than ever, businesses are contending with constant, disruptive change. While enhanced processes and new technologies can help, there's no substitute for people.