新基础

We are in a new Era of Exponential LearningInflection pointAI adoption is growingFour leadership imperatives and new fundamentalsFoundational imperatives, provocative opportunitiesA little AI with the new fundamentals goes a long wayAuthorsTable of Content Citizens increasingly expect that they own theirown data.2They also expect heightened servicestandards and stewardship from Government.Yes, most discussions around AI center aroundthe “potentially devastating negative usecases and unintended consequences” butleaders recognize that technology-inspired,society-scale innovation now fueled by datais (again) changing life as we know it.Leaders also see similar patterns from the earlyinternet days and not only want to transformthe business of government, but to also enablecitizens to navigate the transition well and positionto seize the exponential opportunities of thenew era. All are now asking critical questionsregarding data and its nascent foundations:• Who owns the ‘data’ in big data?• Where does big data stop and privacy start? 46810111718 We are in a new Era of ExponentialLearning.All—organizations, industries, governments,individuals—are learning, interacting in dynamicecosystems and augmenting intelligence at increasingscales.Disruptive forces are reshaping societies and economies(Figure 1). The impact of technology is especiallyprofound, driving new economics while influencingother patterns. Data, emerging technologies and cyber-turbulence will continue to fuel disruption into thefuture.Figure 1DISRUPTIVE FORCES, NEW ERA PATTERNS1Four key disruptive forces compelling new economics—a cognitive economyPervasive globalconnections andflows• 2016: Total foreign investmentswere $132 trillion, up 28% from2007, despite the financial crisis• 2016: Cross-border bandwidthused grew 45X since 2005• Developing countries produce atleast as many skilledprofessionals as developed onesEconomicfragility• China is expected to generate 25%of digital information by 2020, upfrom today’s 13%• in 2017. sixty-two individualshad as much wealth as 3.5 billionpeople• Global inequality is trendingdownward, however it is still veryhigh In the face of the evolving cognitive economy, leaderswill also need to become agile visionary doers.Government will play a critical rolein establishing thefoundation of a knowledge-based, learning society.New fundamentals are needed.Data explosion,cloudy decisions• 2016-2025 Global data will grow10X to 163 zettabytes• By 2025, global data subject todata analysis will grow 50X, but60% of decision makers are nottoo confident in data insights• 23% of US adults shared ‘fakenews’ knowingly or unknowinglyclouding decision-makingNew intelligenttechnologies• Digital adoption by individualsoutpaces government andbusiness• Technologies, propelled bystandardization, modularization,automation and low prices aredriving deep learning at scale The world istransitioningto a cognitiveeconomy. New EraPatterns Inflection pointLeaders are increasingly aware of the interactive natureof the disruptive forces propelling the new era. Neweconomics are emerging from heightened interactionsand synergies—a cognitive economy—as well as citizenexpectations for good government and heightenedstewardship. Citizens also increasingly expect that theyown their own data.Four key technological advances—ubiquitous high-speed mobile internet, greater adoption of big dataanalytics and cloud and artificial intelligence—are drivingexponential change.2More exponential technologiessuch as blockchain and quantum computing are on theway.The proliferation ofconnectivity, data andsystems of engagementhas set conditions—intelligent engagementand learningat scale—for society’s nextinflection point.Data has become the “edge” of most value propositions.Leaders recognize its tremendous potential to not onlytransform the business of government, but to alsoenable citizens to navigate the transition well andposition to seize the opportunities of the new era.All are now asking critical questions about data such as,“Who owns the data in ‘big data’?” and “Where does bigdata stop and privacy start?” There are also a few othercritical questions: “What does data ownership mean?”“How does one assume and manage ownership?”“Should they be an ‘owner’?” Consider what it took to answer those questions for landor private property. In the era of exponential learning,they must be answered for the strategic asset of the 21stcentury—data.Organizations and whole industries have built up theirbusiness intelligence and analytics capabilities over thelast 2 decades. These ‘smart’ capabilities generated newand deeper insights from data for better interactions,complex decision making and new learning. They werealso setting conditions for the next generation of AI.Two facets of Artificial Intelligence3As a system, AI is designed by humansto (given a complex goal) act / interactin the human, physical or digital worldto interpret and reason; determine bestaction(s); and le