MGMT + Organization

Abdullah Fatah

MGMT.AI.pptx

Home >Business & Finance homework help >Management homework help >MGMT + Organization

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A.I. in the automobile industry Abdullah, Chris, Josh, Julia, and Tyler

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Automobile Industry Automotive industry is a wide range of companies and organizations involved in design, development, manufacturing, marketing, and selling motor vehicles. Its one of the world’s largest economic sector by revenue. TAM : 273.4 Billion in 2017 almost 35 billion increase in 4 years Puts Aftermarket between 1.5 and 2% GDP

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When? Henry Ford began building cars in 1896 and started his own company in 1903. The ford motor company improved mass production with the first conveyor belt-based assembly line in 1913, producing the model T, and reduced the time it took to build a car from more than 12 hours to two hours and 30 minutes.

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Sectors of Automobile Industry Design Development Manufacturing Marketing Sales

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How can AI be integrated to Auto Industry?

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AI Integration Buy the machines Set regulations and rules for AI in organizations, companies, and governments Provide IT outsourcing to integrate AI successfully and automate machine learning

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AI Implementation Implement real intelligence first Start an AI roadmap for startup or business Build AI software from open source : Facebook, Yahoo, Microsoft Get an expert to help with a pilot project

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SWOT Analysis Increases productivity in manufacturing. Will reduce likeliness of an accident Monitors drivers awareness Less likely to be seriously injured in the event of an accident. May require a stronger connection to networks to function properly. Takes years to test and implement Expensive (300k-400k automated car) Strengths Weaknesses

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SWOT Analysis Cont. Make roads safer Save businesses money in the long term Have all of your info on the go Anti-theft (Driver recognition) Could be hacked Lack of infrastructure put in place Opportunities Threats

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Ethics Revisited: In an accident, is the manufacturer of the self-driving car at fault or is it the owner of the vehicle who is at fault? With fewer accidents, comes less organ donors Does the car always prioritize the safety of its passengers?

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In relation to MGMT Management will be impacted by the industry change in developing and implementing new technology. -Data collection will be more efficient and essentially easier by managers -Employees jobs are assisted if not taken completely over by A.I. automation -Robotic automation is becoming very heavily prevalent

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In relation to ORG In many of the same ways, org will almost be impacted by A.I. in the car industry: - Efficiency and speed of automation and software process , therefore faster and less expense car output -Interconnectivity of software, exp: Apple carplay , etc… (maybe on a larger scale) ^ Cars will become smarter and possibly more expensive… ^

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CSR Corporate Social Responsibility : Questions worth thinking about: -Do companies take responsibility for the actions carried out be A.I. -How much should a company hire even if A.I. is more efficient, in other words, should job creation paramount efficiency and profit? -Should companies need to require options for self driving and A.I. (in the future) ^ How will autonomous vehicles impact the production of self driving vehicles? ^

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Effects of AI in Automobile industry

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E ffects of AI in Automobile industry cont.. How it's affecting the industry now: - Implementing the tech. in autonomous vehicle software, exp: Tesla, Mercedes , Ford, Uber etc… - Its use in the automation process, building and constructing the cars frame/parts - Use in smart display screens and technologically advanced functions - Sensors and heads up display How will it affect the industry? - Automobiles will get smarter in every way , convenience technology and safety measures overseen by A.I. - More A.I. implementation in the automation process, companies will try to max out on efficiency

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Positives Self-driving cars Free time while car is driving itself Automotive finance Fast Sales predictions Quality control No human error Cost effective Great for disabled people

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Negatives Smaller businesses may not implement the technology as quickly as larger companies, so they’ll fall behind Loss of jobs (Taxis, Uber drivers, etc.) Ethics concerns Major upgrades in road infrastructure for driverless cars (sensors, traffic lights, etc.)

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G+5 Increased driver monitoring in vehicles. Vehicle “cloud” that stores driver information Vehicle manufacturing will include more machines as technology gets more efficient.

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G+10 Speculates that 1 in 4 cars will be autonomous by 2030. Expects the implementation of fully autonomous cars. (not for everyone) Likely to boost Economies, such as U.K’s and The U.S’s. Will face dangers with the legitimate readiness of the product from the manufacturer. Transportation will be used less if vehicles become completely autonomous, correlating to a lower employment rate. No precise date when this software will be fully implemented (to every consumer).

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Summary Manufacturers have started funding, as this market will greatly impact affected countries. Lots of money invested into autonomous vehicles. Autonomous vehicles have many advantages and disadvantages. Updating of the software will be difficult, as new scenery is constantly implemented on roads throughout people’s own cities. Safety of the product hasn’t been determined, many possible faults. Still early in outlook to determine success, failures, or general outcomes.