An Introduction to Artificial Intelligence in Business Christopher Mosby CIO, Movaci

Transcription

1 An Introduction to Artificial Intelligence in Business Christopher Mosby CIO, Movaci

2 a definition of human intelligence A (1): the ability to learn or understand or to deal with new or trying situations: REASON; also: the skilled use of reason (2): the ability to apply knowledge to manipulate one's environment or to think abstractly as measured by objective criteria (such as tests).

3 a definition of artificial intelligence The ability of a computer to perform operations comparable to learning and decision making in humans.

4 What is Artificial Intelligence? Input: Data Sensors Images Artificial Intelligence Output: Action Movement Text

5 Making Machines Behave Like Humans

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13 Types of Artificial Intelligence Artificial Superintelligence: An intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills. Artificial General Intelligence: A machine with the ability to apply intelligence to any problem, rather than just one specific problem (human-level intelligence) Artificial Narrow Intelligence: Machine intelligence that equals or exceeds human intelligence or efficiency at a specific task

14 (some) Subsets of Artificial Intelligence Artificial Intelligence Machine Artifical Learning Machine Learning is a subset of Artificial Intelligence Deep Learning Deep Learning is a subset of Machine Learning Deep Learning uses neural networks to simulate human like decision making

15 What is Machine Learning? Type of Artificial Intelligence that provides computers with the ability to learn without being explicitly programmed. Various techniques can be used to for it learn make predictions based on data. Training Data Machine Learning Algorithm Training Prediction Live Data Trained Model Prediction

16 Machine Learning Approaches Supervised Learning: Learning with a labelled training set Example: spam detector with training set of labelled s Unsupervised Learning: Discovering patterns in unlabelled data Example: cluster similar documents based on the text content Reinforcement Learning: learning based on feedback or reward Example: learn to play chess by winning or losing

17 What is Deep Learning? Part of the machine learning field of learning representations of data. Expectably effective at finding patterns. Utilizes learning algorithms that derive meaning by using a hierarchy of multiple layers that mimic the neural network of our brain. If you provide the system with tons of information it begins to understand it and respond in useful ways.

18 Examples of what Machine Learning can do INPUT A RESPONSE B APPLICATION Picture Are there human faces? (0 or 1) Photo tagging Loan Application Will they repay the loan? (0 or 1) Loan approvals Ad plus user information Will user click on ad? (0 or 1) Targeted online ads Audio clip Transcript of audio clip Speech recognition English Sentence French Sentence Language translation Sensor from plane engine, etc Is it about to fail? Preventive maintenance Car camera and other sensors Position of other cars Self-driving cars

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20 The United Kingdom s AI Growth The United Kingdom is currently the recognized leader in AI research and development. The global tech industry has backed the UK with 1 billion in AI funding. London-based BenevolentAI just raised 115 million from new investors in the U.S. and existing investors, including the U.K.'s Woodford Investment Management.

21 AI in Business (Thailand) Online Chat Bots Pattern Recognition Drones (Survey Use)

22 Thailand 4.0 Initiatives Thailand 4.0 is a sector-specific industrial policy that aims to attract new investment towards transforming the economy. The government wants to move the country into a new era defined by innovative technology-based manufacturing and services. Artificial Intelligence plays a significant role in the 4.0 strategy, automation, optimization and development of the relationships between systems.

23 Bumrungrad Hospital Healthcare Oncology Data Analysis at Bumrungrad hospital.

24 Nong Fah AI based Customer Inquiry Manager Part of Thai s digital technology transformation Provides instantaneous replies to promotional offers, advanced check-in, flight schedules, travel extras etc. Targeted at the younger generation and digital lifestyle customers. Powered by Microsoft Azure & Chat Fuel

25 Thai Airways Nong Fah

26 7-11 Thailand (CP) ROLLING OUT ARTIFICIAL INTELLIGENCE FOR FACIAL AND GESTURE RECOGNITION COLLECT AND ANALYZE DATA POINTS ON TRAFFIC IN STORES AUTOMATICALLY IDENTIFY MEMBERS OF 7-ELEVEN S LOYALTY PROGRAM 10 MILLION PEOPLE USE 7-11 PER DAY FUTURE PAYMENT USE FACIAL RECOGNITION

27 Eleven is introducing facial-recognition and AI technology at its 11,000 stores in Thailand. The technology is commonly used in China where the government and private companies are implementing its use for everything from buying food to getting a loan. The rollout at Thailand's 7-Eleven stores remains unique in scope because of how frequently customers shop there. This rollout indicates more AI technologies are set to grow across Asia.

28 Thai Banking Sector Thai banks leveraging AI machine-learning for credit management. SCB Staff Reduction using AI to automate repetitive tasks. Fraud Detection through ML based AI.

29 Several Approaches to AI Build own models Use pre-trained models AI as a Service ML Researcher Data Scientist Data Analyst Software developer

30 Keys to Successful AI/ML Business Applications Clear business need (what problem is it solving?) Define specific project/product (How will you know it works?) Find the data (lots of it!) Build or find tool/model (build or buy) Test and adjust (use interactions to keep improving it)

31 Session Takeaways AI will Scale Human Capabilities, not replace it Turn AI into Business Value You can start using AI / Data Science in your business right now. You don t have to have a PhD on staff. Find a partner to figure out how to best use data and AI in your business.

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