Developments In Technology Flashcards
Cloud computing can either be
Private or public
Public cloud system
Sold to anyone on internet
Private cloud system
Proprietary closed system for limited set of users
Digital asset
Any text or data file
that is formatted into a binary source
which included the right to use it
2 common types of digital asset
Media assets
E.g. images and multimedia
Textual content
E.g. documents
Ways businesses protect digital assets
Encoding
Encryption
Watermarks
Distributed ledger technology allows
People who don’t know eachother to trust a shared record of events
Key features of distributed ledger technology
No central storage
Shares by all parties who require access
Each has an identical copy of ledger
Parties add to shared record
Procedures (e.g. blockchain) ensure info is valid before accepted
Lack of central administrator
How security is provided in distributed ledger technology
Cryptographic keys
Clear signatures of all transactions
Blockchain
Type of database
Sores information in blocks that are chained together
Used to ensure only valid info is recorded in distributed ledger systems
Blockchain process
- Net transaction entered
- Transaction is transmitted to network of peer to peer computers (across the world)
- Network solves equations to confirm validity of transaction
- Once confirmed, transactions clustered together into blocks
- Blocks chained together forming a permanent history of all transactions
- Transaction complete
Fintech
Software and other technologies that provide automated and improved financial services
E.g. challenger banks, banking apps, crowdfunding, peer to peer lending (Zopa), online currency conversion, digital wallets (Apple Pay)
Cryptocurrencies
Digital tokens allowing online trading
No 3P (bank) involvement
So similar to paying with cash
Cryptocurrency features
Distributed ledgers
Blockchain
Currency in a digital wallet
Volatile price of currency
Risk of online wallet being hacked
Opportunity for money laundering
Due to privacy levels
Cognitive technologies
Computer based systems
Represent, reason about and interpret data
Learn about structure of the data
Analyse it to extract patterns and meaning
Then derive new information
Identify strategies and behaviours from the results of their analysis