1、OutlinesOutlines234 The Business Benefits of AI Machine LearningAI:What is and why it matters?1Three Important Business Needs of AI Applications5 How AI is Being Used in Industries AI:What is and why it matters?Artificial intelligence(AI)makes it possible for machines to learn from experience,adjust
2、 to new inputs and perform human-like tasks.Most AI examples that you hear about today from chess-playing computers to self-driving cars rely heavily on deep learning and natural language processing.Using these technologies,computers can be trained to accomplish specific tasks by processing large am
3、ounts of data and recognizing patterns in the data.What is artificial intelligence?AI:What is and why it matters?AI automates repetitive learning and discovery through data.AI adds intelligence to existing products.AI analyzes more and deeper data using neural networks that have many hidden layers.A
4、I achieves incredible accuracy through deep neural networks which was previously impossible.AI gets the most out of data.AI adapts through progressive learning algorithms to let the data do the programming.Why artificial intelligence matters?The History of Artificial IntelligencePossible Application
5、s for AIThree Important Business Needs of AI ApplicationsThree types of AI ApplicationProcess AutomationCognitive InsightCognitive Engagement transferring data from e-mail and call center systems into systems of record;replacing lost credit or ATM cards,reaching into multiple systems to update recor
6、ds and handle customer communications;reconciling failures to charge for services across billing systems by extracting information from document types;reading legal and contractual documents to extract provisions using natural language processing.Automating business processes predict what a particul
7、ar customer is likely to buy;identify credit fraud in real time and detect insurance claims fraud;analyze warranty data to identify safety or quality problems in manufactured products;automate personalized targeting of digital ads;and provide insurers with more-accurate and detailed actuarial modeli
8、ng.Gaining insight through data analysis intelligent agents that offer 24/7 customer service addressing a broad and growing array of issues;internal sites for answering employee questions on various topics;product and service recommendation systems for retailers that increase personalization,engagem
9、ent,and sales;Health treatment recommendation systems that help providers create customized care plans.Engaging with customers and employeesThree Important Business Needs of AI ApplicationsThe Business Benefits of AIMachine LearningvCognitive insights provided by machine learning differ from those a
10、vailable from traditional analytics in three ways:1.they are usually much more data-intensive and detailed,2.the models typically are trained on some part of the data set,3.the models getter better that is,their ability to use new data to make predictions or put things into categories improves over
11、time.How AI is being used in industriesHealth Care:AI applications can provide personalized medicine and X-ray readings.Personal health care assistants can act as life coaches,reminding you to take your pills,exercise or eat healthier.Manufacturing:AI can analyze factory IoT data as it streams from
12、connected equipment to forecast expected load and demand using recurrent networks,a specific type of deep learning network used with sequence data.Retail:AI provides virtual shopping capabilities that offer personalized recommendations and discuss purchase options with the consumer.Stock management
13、and site layout technologies will also be improved with AI.Banking:Artificial Intelligence enhances the speed,precision and effectiveness of human efforts.In financial institutions,AI techniques can be used to identify which transactions are likely to be fraudulent,adopt fast and accurate credit sco
14、ring,as well as automate manually intense data management tasks.Text(2)Humans and AI Are Joining Forcesv The Technologys large impact will be in complementing and augmenting human capabilities,not replacing them.v Firms achieve the most significant performance improvements when humans and machines w
15、ork together.p To take full advantage of this collaboration,companies must understand how humans can most effectively augment machines,how machines can enhance what humans do best,and how to redesign business processes to support the partnership.234Machine Assisting Humans Guidelines for AI Human In
16、teractionThe Workplace Strengths:AI vs.Humans1 Human Assisting MachinesOutlinesThe Workplace Strengths:AI vs.Humans the speed the scalability the quantitative capabilityArtificial Intelligence leadership teamwork creativity social skills HumansThe Workplace Strengths:AI vs.HumansMachine vs.Human Lea
17、rningHuman Assisting MachinesTraining Machine-learning algorithms must be taught how to perform the work theyre designed to do.Sustaining In addition to having people who can explain AI outcomes,companies need“sustainers”employees who continually work to ensure that AI systems are functioning proper
18、ly,safely,and responsibly.Explaining As AIs increasingly reach conclusions through processes that are opaque(the so-called black-box problems),they require human experts in the field to explain their behavior to non-expert users.Humans need to perform three crucial roles.Machine Assisting HumansAmpl
19、ifying Artificial intelligence can boost our analytic and decision-making abilities by providing the right information at the right time.Interacting Human-machine collaboration enables companies to interact with employees and customers in novel,more effective ways.Embodying Many AIs,like Aida and Co
20、rtana,exist principally as digital entities,but in other applications the intelligence is embodied in a robot that augments a human worker.Smart machines are helping humans expand their abilities in three waysCase:AI-human Hybrid Intelligence Applied in HRGuidelines for Human AI InteractionMake clea
21、r what the system can doMake clear how well the system can do what it can doTime services based on context.Show contextually relevant information.Match relevant social norms.Mitigate social biases.Time services based on context.Support efficient dismissal.Support efficient correction.Scope services when in doubt.Make clear why the system did what it did.Remember recent interactions.Learn from user behavior.Update and adapt cautiouslyEncourage granular feedback.Convey the consequences of useractions.Provide global controls.Notify users about changes.
