The Doppler Quarterly Summer 2017 - Page 46

customer bases. Each is also supported by a large number of lower-salaried staff to support the repetitive work of consolidating information and data for higher-up managers. These industries all share the same demand for higher quality data to accelerate projects throughout the organization. Real Estate – The real estate market has always been driven by personal rela- tionships that advance the immediate access to information for agents that are typically the most successful. Natural language processing and image recogni- tion are being more widely adopted to facilitate the automatic analysis of clos- ing documents and site images in order to expose inconsistencies. 1 This rapid analysis of information enables brokers to quickly spot risks in deals they are negotiating and ensure their clients have access to the most accurate informa- tion when making decisions. Education – The education space has historically been defined as students, arriving to a central location and taking set courses on established schedules. This model has worked, but fails to include portions of the population who are non-traditional learners or have schedules that do not work with a traditional classroom environment. AI and ML are developing self-assessments which can create education plans specific to individuals’ needs. 2 Legal Services – Law firms have historically been built on a few partners, sup- ported by a scalable team of paralegals, who focus on research, organization and analysis of large amounts of data. AI brings the ability to automate these tasks for new lawsuits, as well as significantly cut down the time necessary to analyze large amounts of information at the beginning of the discovery process. 3 Automotive – The automotive industry is going through a major transition as it continues to deploy new technology to make driving more enjoyable, safer and efficient. Tesla currently has 1.3 billion miles of data related to automated driving. 4 This gives them an advantage as they continue to improve their AI capabilities to support a wider range of road conditions. Traditional auto man- ufacturers are also looking to improve their capability in this space through investment and research to better compete with disruptors like Tesla. The common pattern and considerable weakness with these industries, is their past reliance on large numbers of staff to scale. AI brings the ability to scale organizations and their capabilities, without adding the number of employees previously required. This provides better price points for services, but also allows ܙ[^][ۜ]\\Z\Y&\[[XX[\X[]Hۈ[B[^\[ۜ[]]X][\]]]H[\܈ۙH\˂RH[X\ܙ[^][ۜݚYHY\]X[]HX]H\][\ݙ\ݙ\[YH\]\]ܛˈRH\[[\\[\X[]H܈[HܙKB^][ۈ\^H\]H[Hܛ\H]\H[\H\XZ[Y][ Hܚ\YYXKǨ ML N \X[ Y\]KXY[X\K[]\Y[X\YXX[ Z[[Y[B΋˙ܘ\˘K]\ؘ\\Z\[̌ M L KY]\K[ًX\YXX[ Z[[Y[KZ[YYX][ۋŒ˘XZ\[ KXY^[K\XK\YXX[[[Y[W\[ٛܛZ[WY[ٙ\[ۂ΋[XZ˘̌ MLKL\KX]][ X[[ۋ[Z[\Y]K\[Y][\ܘ[K HTSSQT M