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 relationships that advance the immediate access to information for agents that are typically the most successful . Natural language processing and image recognition are being more widely adopted to facilitate the automatic analysis of closing 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 information 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 , supported 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 manufacturers 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 organizations to better focus their staff ’ s intellectual capability on handling exceptions , and automating repetitive and error prone tasks .
AI enables organizations to provide higher quality products , at a lower cost that improves over time as datasets grow . AI is an empowering capability for any organization as they compete in a world where every industry is becoming digital .
1 http :// rismedia . com / 2016 / 10 / 18 / how-real-estate-agents-are-leveraging-artificial-intelligence 2 https :// www . forbes . com / sites / barbarakurshan / 2016 / 03 / 10 / the-future-of-artificial-intelligence-in-education / 3 http :// www . abajournal . com / magazine / article / how _ artificial _ intelligence _ is _ transforming _ the _ legal _ profession 4 https :// electrek . co / 2016 / 11 / 13 / tesla-autopilot-billion-miles-data-self-driving-program /
44 | THE DOPPLER | SUMMER 2017