9 Ways Artificial Intelligence Has Changed The Way We Design
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Artificial intelligence is changing many industries from healthcare to design. Over 80% of executives around the world are still using or aim to use AI in their businesses in some way or the other. Let's take a look in these slides how AI has influenced design in three ways: the web, product and experiences. This presentation is packed with industry insights, tips and techniques, case studies and trends.
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9 Ways Artificial Intelligence Has Changed The Way We Design
- 2. The increasing need to lessen human tasks has led to the growth of AI (artificial intelligence). It has changed the way we design experiences, products, and web. AI uses tools such as automation, bots, natural language processors, and decision support system. Amazon, Netflix, Google, and Facebook (collectively known as FANG) have invested huge sums in artificial intelligence research, and there is a reason why.
- 3. THE AI INDUSTRY AMERICAN’S PERCEPTION OF AI $70 billion 2020 Total AI industry 2030 Contribution to Global Economy $15.7 trillion The increasing use of AI in companies has made it a booming industry. Analysts have monitored the investment and performance of the AI industry which is expected to grow in the coming years. The US people expect AI to have a negative impact ontheir workforce and economy in the next decade.
- 4. DESIGN PRODUCTS AI has helped design products that perform human tasks efficiently. AI designed products have become increasingly popular. Some of these are:
- 5. Amazon Echo can conveniently perform tasks such as: Setting an alarm Sending an email to the client Turn on or off ligths Track Amozon purchases
- 6. 2. SURVEILLANCE CAMERAS 1 out of 48 is the chance of catching shoplifters Intel’s new product Store Agent uses AI to improve theft prevention in stores by connecting device with the surveillance cameras. The AI recognizes shoplifters within 60 seconds of entering the store. $35 Billion annual loss in the US retail stores due to shoplifting.
- 7. Surveillance cameras (Store Agent): Store surveillance Spots shoplifters Asset protection Reduces retail loss
- 8. 3. RIDE-HAILING APPS Ride-hailing apps use AI to perceive and resolve user problems as well as predict rider-demand patterns. Also aids calculating expected ride cost and enables shorter waiting times for the riders. urban smartphone owners globally use ride-hailing apps Latin American urban smartphone owners use ride-hailing apps
- 9. Leading ride-hailing industry, Uber; Predict and search destination ETA routing Fare-estimates Match riders to drivers
- 10. Personal virtual assistants such as Amazon Echo or Google Home, are a touch away. They follow commands given by humans using human interface and ease our workload. 22% Americans use intelligent home personal assistants 400M devices worldwide have the Google Assistant 1. PERSONAL VIRTUAL ASSISTANTS
- 11. The modern UI designers have designed algorithm-driven web designs for better and practical user-experiences. Each algorithm is used to create a personalized product for a specific audience DESIGN THE WEB
- 12. 4. NATURAL LANGUAGE ALGORITHM The applications have been trained to analyze the different aspects of a language efficiently. From retrieving the relevant content from the database to forming a sentence, Natural Language Algorithm does it all. Natural language processor interprets languages Facebook recognizes faces using recognition algorithm 2000 translation directions available on Facebook
- 13. 5. DEEP NEURAL MIND RESEARCH The artificial intelligent systems think more like humans by developing deep neural mind algorithms. It helps analyze the objects or images without human intervention. Google’s DeepDream by Alexander Mordvintsev Design an application for scientists and engineers To discover what a deep neural mind sees in an image
- 14. 6. AFFECTIVE COMPUTING The affective computing algorithm or emotional intelligence predicts the mood, behavior and mental health of a user. Websites easily understand & predict human behavior Decipher intent by journey mapping Such as Netflix’s prediction of viewer choices
- 15. DESIGN EXPERIENCES As a user, we have both online and offline experiences. We download applications in our phones which have various efficient user interfaces such as bots. These bots will change experiences in:
- 16. 7. E-COMMERCE AI in e-commerce benefits the consumers. It allows platforms to provide buyers a direct path to make purchases from a wide range of products with ease. Increased online sales Product recommendations Efficient sales process Personalized recommendations Chatbots to answer queries
- 17. 85% of customer interaction will be done with chatbots by 2020. Fun Fact
- 18. 8. HEALTHCARE AI is shaping the future of healthcare by replacing human cognitive tasks at a fast pace. Informed decisions Real-time clinical insights Regulated healthcare Healthcare data analysis Improvised treatment
- 19. 85% of customer interaction will be done with chatbots by 2020. Fun Fact
- 20. 9. FORECASTING AI forecasting has been successful in areas such as weather, disaster,agriculture, retail, energy, transportation, defense, and e-commerce. Historical and real-time data Improved forecast accuracy Inductive and deductive solutions Situation analysis Prevention & mitigation of possible threats
- 21. 85% of customer interaction will be done with chatbots by 2020. Fun Fact
- 22. FUTURE OF AI AI will be used to analyze situations in the virtual world such as: • Adjusting shipping orders • Predicting the date for machine servicing
- 23. Want to know more about A.I. in design? Click Here.