IBM

Watson Assistant IVIE

an artificial intelligent adviser that the company describes as an "AI enterprise assistant" - can help you set temperature of the house

machine learning

the extraction of knowledge from data based on algorithms created from training data - training data aka question/answer pairs - teaches linguistic patterns of meaning

SAP partnership (GBS)

- Cognitive Commerce app delivers personal shopping experience through guided selling cognitive APIs (machine learning and trade-off analytics, natural text)

Watson and fight against diabetes

- IBM and global medical electronics maker Medtronic are researching how to apply Watson to real-time data from patient glucose monitors - this data can be combined w/ other contextual information such as diet and help predict dangerously low blood sugar levels

Morgan Watson

- Watson was able to model the scenes visually to determine the salient movies of the movie, was the scene sad, happy, etc.?

Acquisitions

- Weather Channel, Resilient (incident response), BlueWolf, Watson Health Imaging, IBM Kenexa (case study of H&R Block)

IBM App Connect

- a cloud-based solution for business users that quickly connects apps to automate tasks and boost productivity - gives users a simple, business-oriented interface to create workflows and get notifications, sync data, track outcomes and more - designed to enable users to connect and integrate with back-end systems, web, and mobile applications

IBM Data Science Experience (DSX)

- a cloud-based, innovative, end-to-end experience for data scientists to research, create, and collaborate across multidisciplinary teams

how Watson builds and enhances expertise

- after identifying parts of speech in a question, it generates hypothesis. then looks for evidence to reject/support. scores each passage based on statistical modeling, aka weighted evidence scores - basically: runs analytics on a body of data to gain insights which Watson can turn into human inspiration

Watson

- basically is a cognitive system that can be trained with large amounts of information and gain information from it - Watson is constantly adapting to shifts in knowledge - Watson can respond to complex questions and come up w/ answers backed by evidence

IBM and American Airlines

- cloud solution

IBM and Quest

- cognitive learning for healthcare; teaching Watson to learn medical research - concerns 1) will machines be smarter than humans?; answer: it will be machines and man working together; artificial intelligence is augmenting human intelligence; this is supervised learning, trained by the best person in each industry 2) what are the uses? answer: healthcare, risk, food safety; everyday life (weather, education, shopping) 3) what is IBM doing with quest? answer: genetic analysis for patients; Quest can do genetic sequencing, Watson looks for the mutations and the possible treatments

IBM and Maersk

- creating blockchain technology that digitalizes trade workflow and tracking shipments, reducing friction such as costly point to point communication - provides secure data exchange, tamper proof repository

Cloud Business Solutions

- customer expectations, data & analytics, mobile, social, cloud services - enterprises can quickly and economically test and scale new capabilities - bundled, pre-integrated, and available as a service on the cloud - decision makers can identify growth opportunities, generate new revenue streams, improve operational efficiency with lower barriers to entry compared to traditional tech transformation - seeks to improve complex business requirements for larger enterprises

IBM Global Business Services

- cutting edge/proven technology and adopting new ways of working, automation improves quality, enhances the user experience, expand capacity - i.e. use Watson for help-desk queries; gathers feedback on every interaction - i.e. improves speed of delivery, scriptless automation - i.e. use automation to expand capacity; helps with repetitive tasks

ingestion

- data is preprocessed by Watson, building indices and other metadata that make working with that content more efficient - may create knowledge graph to answer more precise questions

digital assistant Cora (AI)

- demands efficiency and immediacy - taught how to bank, learn, and behave

Internet of Things

- describes a system in which everyday objects are connected to the internet and in turn are able to communicate information throughout an interconnected system - platform integrates the data from many devices and applies analytics to share the most valuable data with applications that address industry specific needs

superposition

- each qubit can represent a 0, 1, or both at the same time

what is cloud

- elastic leasing of pooled computer resources over the internet - much more economic to scale as you go, rather than invest in all the infrastructure at once - ease of use, reliability, low up front cost, scalability

Hyperledger blockchain technology

- eliminates vulnerabilities of regulated industries with transparent transactions - offers all parties involved in a business network a secure/synchronized record of transactions - each transaction is put into a block, each block is connected; groups of transactions are blocked together, and a fingerprint of each book is added to the next, thus creating an irreversible chain

scriptless automation

- generate automated test scripts that can reduce cycle time by 40%

IBM iX Auto App

- getting information in car and outside of car to help drivers

agile

- group of software development methods core principles: iterative development, risk management, transparency

design thinking

- how to meet consumer needs - understand, explore, prototype, evaluate (UPEE)

curating the content

- human intervention that discards anything that is out of date, poorly regarded, or not important to the domain

IBM Ignite Quality and Test

- improves test speeds, reduce number of tests, find defects earlier, and reduce costs

corpus of knowledge

- loading the relevant body of literature into Watson

6 degrees of automation

- one action can create a ripple effect and transform an entire industry 1) front-end efficiency (interact w/ a chatbot) 2) a well-trained workforce 3) a loan that can think (smarter applications) 4) instant legal team - feed the legal information into automation to facilitate a speedy decision making process 5) a more proactive bank - suggesting solutions to clients to help them 6) a banking expert in your pocket - uses intelligent automation to render that level of expertise

IBM Ignite Quality and Test (GBS)

- problems: ad hoc development of scenarios; low coverage of requirements; low level of automation; duplicated tests; redundant test steps; use of invalid test data - provides optimized and automated and cognitive approach to accelerate business outcomes - improve test speeds, reduce # of tests, find defects earlier, and reduce costs - IGNITE is a portal that optimizes assets and uses cognitive insights to provide 100% coverage of test activities - provides access to pre-built models for a number of industries - improves time to market, reduce overall defects, improve quality related decisions

quantum computing

- quantum computers can perform calculations that classical computing can't - traits: 1) classical computers encode information in bits, quantum in qubits 2) two principles of quantum physics: superposition and entanglement --> qubits can act as a much more sophisticated version of switches 3) can represent 2^n system states (exponential increase in power) - quantum computers will deliver solutions where patterns cannot be seen b/c sufficient data dne or the possibilities for discovering an optimal answer are too enormous - can help create new medicines, train AI, help financial risk

entanglement

- two qubits in a superposition are correlated with one and another

IBM and Walmart

- with blockchain, hope to bring all food safety system stakeholders and collaborate - traceability and transparency

Watson and Under Armor

- working with wearable tech manufacturers (i.e. Under Armor) to integrate Watson's machine learning technology with real world data to develop cognitive apps that can act as health consultants and fitness trainers (personalized, real-time advice)

key features of blockchain that allow it to handle a regulated industry

1) distributed 2) permissioned 3) secure - works as a shared form of record-keeping, no one person/organization holds ownership - no one person can add to or alter the blockchain without being permanently recorded => highly secure, eliminates fraud and error. - works as a shared form of record-keeping, no one person/organization holds ownership - At the end of the buying cycle, there is a complete and indisputable record of information.

keys of ibm design thinking

1) hills - align as teams 2) playbacks - align across time 3) sponsor users - align with user's reality - bringing on someone who knows more onto the team

IBM design thinking

3 principles: 1) focus on user outcomes 2) diverse in power teams 3) reinvention - conversation between users and team - treat everything as a prototype to be iterated upon - two ways of working: 1) split into teams aka "work squads", "work-streams" 2) split into phases aka "sprints" "observe, reflect, make"

Example of IOT

Car insurance ♣ Install a sensor in your car that provides real time feedback so it can monitor your driving Smart Thermostat ♣ Help homeowners manage energy more efficiently Amazon's Grocery Smart Savings IBM Watson Assistant