Daniel Burrus Innovation Expert

Daniel Burrus is considered one of the world’s leading futurists on global trends and innovation. The New York Times has referred to him as one of the top three business gurus in the highest demand as a speaker. He is a strategic advisor to executives from Fortune 500 companies, helping them to accelerate innovation and results by develop game-changing strategies based on his proven methodologies for capitalizing on technology innovations and their future impact. His client list includes companies such as Microsoft, GE, American Express, Google, Deloitte, Procter & Gamble, Honda, and IBM. He is the author of seven books, including The New York Times and Wall Street Journal best-seller Flash Foresight, and his latest book The Anticipatory Organization. He is a featured writer with millions of monthly readers on the topics of innovation, change and the future and has appeared in Harvard Business Review, Wired, CNBC, and Huffington Post to name a few. He has been the featured subject of several PBS television specials and has appeared on programs such as CNN, Fox Business, and Bloomberg, and is quoted in a variety of publications, including The Wall Street Journal, Financial Times, Fortune, and Forbes. He has founded six businesses, four of which were national leaders in the United States in the first year. He is the CEO of Burrus Research, a research and consulting firm that monitors global advancements in technology driven trends to help clients profit from technological, social and business forces that are converging to create enormous, untapped opportunities. In 1983 he became the first and only futurist to accurately identify the twenty technologies that would become the driving force of business and economic change for decades to come. He also linked exponential computing advances to economic value creation. His specialties are technology-driven trends, strategic innovation, strategic advising and planning, business keynote presentations.

 

Elevate Cognitive Performance

Improving cognitive performance is a strategic imperative for anticipatory leaders. With the availability of data, cognitive technology and performance analytics, stakeholders expect stronger performance, higher transparency, greater controls and clearer communications.

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Eliminate Cognitive Friction to Maximize Human Performance

Improving cognitive performance is a strategic imperative for anticipatory leaders. Yet, cognitive performance slows down due to cognitive friction. Cognitive friction occurs when professionals can’t think through uncertainties clearly in their minds. These uncertainties include:

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A Strategic Imperative for Anticipatory Leaders Is Cognitive Performance

AI and cognitive computing have grabbed headlines. Yet, anticipatory leaders know that the elevation of cognitive performance among teams is key to maximize results. Leaders need to help their teams of professionals improve how they envision opportunities, manage downside risks and achieve greater results. Cognitive computing has to do more than deliver data-driven insights to their minds. It must help teams shape outcomes, act on implications and professionalize role-based, cerebral processes in the form of software processes. That’s where cognitive performance is front and center.

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Cognitive Performance — The Human Side of Cognitive Computing

As a leader, your responsibilities exist on the cognitive side of your business, where you think critically, make complex decisions, collaborate among your network, communicate with your stakeholders, comply with regulations and monitor uncertainties, to name a few. These activities represent your cognitive work. Given today’s rapid growth in organizations using AI, you are most likely exploring the current state of cognitive computing and how it can help you with your responsibilities beyond the collection, storage and retrieval of data through computers as data appliances. You are also considering how the highly marketed definitions of cognitive computing from IBM Watson can help you?

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Boosting the Shopping Experience

Estimates hold that more data will be produced in 2018 than in all years previously. Much of that is consumer-focused—what we buy, how we buy it and why we buy it, among other information.

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