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IBM EXAM STUDY GUIDE
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IBM EXAM STUDY GUIDE
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IBM EXAM STUDY GUIDEDesign thinking - Answers -- how to meet consumer needs
- understand, explore, prototype, evaluate (UPEE)
Agile - Answers -- group of software development methods
Core principles: iterative development, risk management, transparency
IBM design thinking - Answers -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"
Keys of ibm design thinking - Answers -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
Corpus of knowledge - Answers -- loading the relevant body of literature into Watson
Curating the content - Answers -- human intervention that discards anything that is out
of date, poorly regarded, or not important to the domain
Ingestion - Answers -- 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
Machine learning - Answers -the extraction of knowledge from data based on algorithms
created from training data
- training data aka question/answer pairs
- teaches linguistic patterns of meaning
Watson - Answers -- 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
How Watson builds and enhances expertise - Answers -- 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 and Under Armor - Answers -- 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)
Watson and fight against diabetes - Answers -- 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
Digital assistant Cora (AI) - Answers -- demands efficiency and immediacy
- taught how to bank, learn, and behave
IBM Data Science Experience (DSX) - Answers -- a cloud-based, innovative, end-to-end
experience for data scientists to research, create, and collaborate across
multidisciplinary teams
What is cloud - Answers -- 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 - Answers -- 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
Key features of blockchain that allow it to handle a regulated industry - Answers -1)
distributed
2) permissioned
3) secure
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