It\u2019s long been the stuff of sci fi, but increasingly, the practical side of artificial intelligence (AI) is very real. On the consumer side, personal assistants such as Siri, Alexa, and Cortana help automate the simplest of tasks. Meanwhile, AI adoption is also accelerating within the workspace. \nAccording to a recent Spiceworks survey of more than 500 IT professionals, nearly a quarter of large companies have already implemented digital assistants and another 40% expect to follow suit by 2019. For small and medium businesses, that number is closer to 25%.\nIt\u2019s virtually indisputable that AI (in the form of natural-language processing, machine learning, and deep learning) has tremendous potential to reduce \u00a0costs and increase productivity for the enterprise.But its true impact comes to life when combined with human ingenuity.\nJust ask David Gutelius, partner and co-founder of the Data Guild, a San Francisco-based venture studio focused on AI, machine learning, and data analytics. Gutelius experienced an AI epiphany in 2006, while part of the DARPA Cognitive Assistant that Learns and Organizes (CALO) at SRI International\u2019s Artificial Intelligence Center in Menlo Park, CA.\nDARPA\u2019s goal was to help Army officers save time by automating some of the menial, work-related tasks that filled their day. What Gutelius and his colleagues discovered was the exponential power of AI and humans working together.\n\u201cThe project really opened my eyes to what\u2019s possible with the right mix of machines and humans,\u201d Gutelius says. \u201cYou can do some pretty amazing things\u2014and it\u2019s not just about helping office workers get more done. It\u2019s about helping individuals and teams be more effective.\u201d\nOne CALO product that was especially formative used machine learning to monitor communications patterns within a community of officers. Called iLink, it \u201clearned\u201d who had expertise on a given subject, how that person\u2019s expertise changed over time, and who trusted whom on a given topic. Using that information, iLink recommended who should be in a virtual room together when new issues or requests arose. It also improved the existing model of communications, which relied heavily on web-based search, redundant broadcast requests for help, and the happenstance of hallway conversations. \nThat vision for the ultimate potential of AI has stuck with Gutelius and is still a key theme of much of his current work. But creating the perfect blend of human and machine power doesn\u2019t happen by chance. Read on for a few examples of how some organizations are using AI for real benefit. \nLook for the Right Opportunities \nHealthcare IT start-up Evid Science developed a solution that uses machine learning and natural language processing to pore over hundreds of peer-reviewed articles about drugs in the trial phase. Then it pulls out the essential data points of a drug\u2019s effectiveness, and generates \u201clandscape\u201d reports that compare the efficacy of different treatments. Doctors take it from there, using the AI outputs to inform care decisions. Since medical professionals are often hard pressed to read medical literature on their own time, reports like this provide critical knowledge and automatically serve up different treatment options for their patients.\nEvid Science\u2019s solution is particularly effective because it uses AI\u2019s core strengths: performing repetitive tasks flawlessly and having a keen eye for the details. \nThe real-life implications of applied AI are significant: It would take a doctor up to a year to finish reading a report that Evid Science can complete 500 times faster, without the interruptions. Having access to that intelligence could be revolutionary in providing patients with more effective, evidence-based care.\nSolve, Measure, and Expand\nAI has also proven useful in HR, as companies look for ways to streamline their screening and hiring, and develop more effective methods of attracting and retaining talent. \nFor example, ADP DataCloud provides HR professionals with insights and predictive analytics about the performance of individual teams and their company overall. Using customer and third-party data, ADP generates and disseminates reports, and flags concerns such as a team experiencing particularly high turnover, or a star employee whose pay rate is lower than the market rate. ADP DataCloud also calls out reports that other HR professionals have found useful and, over time, learns each customer\u2019s preferences and adjusts accordingly.\nADP DataCloud demonstrates AI\u2019s ability to learn, adjust,and optimize, which is key in amplifying the intelligence and effectiveness of individuals and teams. \u00a0\u00a0\nIn summing up the effectiveness of ADP DataCloud, ADP Chief Data Scientist Marc Rind says the \u201cinsights it generates can provide HR professionals with a better sense of what conversations need to take place, and with whom. It makes them better managers, and better humans.\u201d\nAccessible AI to Speed up Operations \nAI has clearly become more accessible to organizations: low-cost tools, for example, can help implement AI directly into workflows to speed up operations. Other tools can help automate business processes\u2014taking orders, applying sales discounts, soliciting feedback, managing procurement, tracking content approvals, and more\u2014without a single line of code, complex formulas, or help from IT.\nCompanies like Disney and Whole Foods, for example, are building and implementing intelligent chatbots into their workflows to streamline repetitive, manual tasks that can increase time savings and productivity. \nWhether you\u2019re planning to go big, or just test the AI waters, Gutelius offers this parting advice:\u201cStart with defining and deconstructing the problem, and develop a culture of experimentation and measurement so that you can learn what works and what doesn\u2019t.\u201c\nFor another example how businesses are using next-gen tools to speed up operations, read how Colliers International used automation to reduce a key business process from 6 months to a week.