EXAM 2 Flashcards

1
Q

8 software & platform tech trends

from the talk w matthew taylor and robert green!

A
  1. engineering agility
  2. Gen AI infusion
  3. Security as an integral strategy
  4. Durable back office
  5. Multi-cloud & consumption optimisation
  6. Green software
  7. IT debt
  8. New business models & unlocking new revenue streams
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

disruptive technology definition

aka disruptive innovation

A

technologies that create market shocks and catalyze growth

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

2 characteristics of disruptive technologies:

A
  1. come to the market w set of performance attributes existing customers dont value
  2. over time, performance attributes improve to the point where they invade established markets
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

examples of disruptive tech:

A

-digital cameras
-mobile phones
-voicemail machines

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

disruptive innovation definition

A

creates a new market and value network

tech alone doesn’t create disruption. tech combined w an organization’s business model can!

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

sustaining innovation definition

A

improving existing products that customers are eager to buy

don’t create new markets; making better products at higher profit margins

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

3 reasons why big firms fail

when disruptive innovations enter the market…

A

-failure to see disruptive innovations as a threat
-early customers for a disruptive tech care about features and attributes than incumbent customers
-over time, disruptive tech becomes good enough to appeal to customers of incumbent products and invade thes markets

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

definition

McNamara fallacy

A

basing decisions based on past data and examples-this is especially risky when dealing w disruptive innovation!

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

definition

innovators dilemma

A

when established companies, who are focused on maintaining and improving their existing products and services for their customers, overlook or underinvest in new disruptive technologies

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

4 key points of the innovator’s dilemma

A

-disruptive technologies
-incumbent firms
-new entrants
-market shifts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

the current or next disruptors we’re seeing:

theres 9

A

-AI and autonomous systems
-Gen AI
-blockchain
-virtual and augmented reality/Metaverse
-Machine customers
-6G and beyond
-3D printing and advanced manufacturing
-Quantum computer
-digital twins

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

examples of machine customers

A

-smart devices
-automated trading systems
-Internet of Things (IoT)
-subscription services

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

definition

Internet of Things (IoT)

A

connected devices in industrial environments can monitor machinery, predict maintenance needs, and order spare parts without human involvement

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

definition

blockchain

A

a distributed and decentralized ledger that records and verifies transactions and ownership

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

4 practical applications of blockchain

A

-financial industry
-smart contracts
-digital IDs
-blockchain-enabled IOT and information analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

how do companies automate tasks?

A

the use of RPA (Robotic Process Automation) technology

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

definition

RPA

A

a technology that automates repetitive, rule-based tasks traditionally done by humans
-it involves software bots that mimic human interactions w digital systems
-RPA used in finance, healthcare, manufacturing, and IT

Robotic Process Automation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

5 key features of RPA:

A

-non-intrusive tech that works on the front end of systems
-scalable solutions that can work across multiple applications
-cost-effective and fast implementation
-improves accuracy, speed, and compliance
-it can run 24 hours a day

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

5 limits of RPA:

A

-limited to rule-based, structured tasks
-high maintenance
-initial cost and complexity
-lack of cognitive abilities
-scalability issues

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

definition

cognitive automation

A

AI enables RPA bots to handle unstructured data, such as emails and images

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

definition

intelligent decision-making

A

AI allows bots to make decisions based on data analysis, rather than following strict rules

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

definition

Natural Language Processing (NLP)

A

AI-powered bots that can understand and process human language, expanding use cases like chatbots

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

definition

Machine Learning

A

bots can learn from historical data and adapt to new scenarios

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

definition

cryptocurrencies

from slide ‘bitcoin and blockchain: a disruptive innovation for money’

A

a digital asset where a secure form of mathematics is used to handle transactions, control the creation of additional units, and verify the transfer of assets

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
# definition bitcoin ## Footnote from slide 'bitcoin and blockchain: a disruptive innovation for money'
an open source, decentralized payment system that operates in a peer-to-peer environment, without bank or central authority
26
how does bitcoin work? ## Footnote from slides about bitcoin and blockchain!
1. bitcoins are transferred from person to person like cash 2. transactions recorded in blockchain, a distributed, decentralized public ledger 3. No one can transfer the asset w/o a special password called a private key, usually stored in a cryptocurrency wallet, which is an encrypted holding place 4. Passwords are virtually impossible to guess, and verification makes sure no one spends the same bitcoins in two places at once
27
benefits of bitcoin and blockchain
-eliminates transaction fees -used for international commerce w/o delay or transaction fees -crypto opens up possibility of micropayments (small digital payments) that are now impractical bc of fees -straddles the line between transparency and privacy -blockchains have no single controlling entity where fraud, corruption, damage, hacking, or government shutdown could occur -blockchains are a standard for securely exchanging value and recording ownership over the Internet w/o an intermediary
28
concerns of bitcoin and blockchain | mostly bitcoin
-consumer benefit needs to be stronger -difficult to understand/use tech -has bad rep (drug dealers, tax evaders, etc) -firms don't know how they'll be regulated and what legal issues apply -volatility -security -transaction volume -is it an investment or a form of currency (both??)
29
# definition big data
the collection, storage, and analysis of extremely large, complex, and often unstructured data sets that can be used by organizations to generate insights that would otherwise be impossible
30
# definition business intelligence (BI)
a term combining aspects of reporting, data exploration and ad hoc queries, and sophisticated data modeling and analysis | current and historical data
31
most likely any company today that's experiencing a competitive/sustainable advantage are...
expert level of leveraging data inside and outside of their company
32
# definition dynamic pricing
when a firm sets prices in real or near-real time in order to maximize sales and profits
33
# definition data
raw facts and figures
34
# definition transaction processing systems (TPS)
systems that record a transaction or some form of business-related exchange, like a cash register sale, ATM withdrawl or product return
34
enterprise softwares consist of... | there's 3 of them!
-CRM (customer relationship management) -SCM (supply chain management) -ERP (enterprise resource planning/management)
35
# definition Customer relationship management systems (CRM)
empowers employees to track and record data at every point of customer contact
36
# definition information
data presented in a context so that it can answer a question or support decision-making
37
# definition knowledge
insight derived from experience and expertise (based on data and information)
37
# definition database
single table or a collection of related tables
38
# definition database management systems (DBMS)
software for creating, maintaining, and manipulating data (aka database software)
39
# definition structured query language (SQL)
a language used to create and manipulate databases
40
# definition database administator (DBA)
job title focused on directing, performing, or overseeing activities associated with a database or set of databases
41
# definition True or false: Everything that comes out of Gen AI is true
false
42
# definition data aggregators
firms that collect and resell data | accuracy concerns w this...
43
# definition legacy systems
older information systems that are incompatible with other systems, technologies, and ways of conducting business
44
# definition data warehouse
a set of databases to support decision-making organization ## Footnote structured for fast online queries and exploration, collects data from many diff operational systems
45
# definition data mart
database or databases focused on addressing the concerns of a specific problem or business unit ## Footnote marts and warehouses may contain huge volumes of data!!
46
# definition data lake
catch-all term for storage and access technologies used in big data
47
# definition ETL (Extract, Transform, Load)
copying data from multiple organized data sources, transforming (or cleaning) the data into a common format, and loading it into a combined usable format
48
# definition e-discovery
identifying and retrieving relevant unstructured data when dealing with casework
49
# definition generative AI | gen AI
type of artificial intelligence whose output is some type of media-results generated based on a prompt | think of an image that I can ask chat to generate
50
tableau's key features:
-drag and drop interface -real time data analysis -multiple data connections -interactive dashboards -AI and predictive analytics -collaboration and sharing
51
AI is not....
-what a salesperson says it is -isn't magic, actual work goes into making it happen -not just hype...you need good data to make it work
52
# definition artificial intelligence
computer software that can mimic or improve upon functions that would otherwise require human intelligence
53
most sophisticated and user-friendly example of AI to date
Chat GPT 3.5
54
# definition prompts
a request made to generative AI systems | think: "input" to get desired output!
55
how LLMs are created | Language Learning Models
-foundation model is built -identify multi-tier logical relationships and concepts like style and context -trained LLM (understands how to break apart language, weigh relationships it identifies, and come up w a complex response that considers words, context, style, and more)
56
how will the machine learn?
-supervised learning -self-supervised learning
57
# definition supervised learning
type of machine learning where algorithms are trained by providing explicit examples of results sought, like recognizing products that are defective vs. error-free
58
# definition self-supervised learning
type of machine learning where data isn't explicitly labeled and doesn't have a predetermined result
59
risks w AI..
-discrimination and bias -abuse and misuse -power and concentration
60
# definition prompt injection
compromising generated AI by entering prompts that cause it to behave in unintended ways
61
# definition data poisoning
deliberately feeding incorrect data to an AI so it generates incorrect results
62
# definition deepfakes
sophisticated media (audio, image, video) created by AI that attempts to look or sound like a real person or event
63
ad formats and ad purchasing
-display (or image) ads -rich media ads -interstitials
64
# definition display (or image) ads
graphical advertising (opposed to text ads)
65
# definition rich media ads
online ads that include animation, audio, or video
66
# definition interstitials
ads that run before a user arrives at his or her intended destination in a website or app
67
# definition zero party data
data the customer explicitly shares with the firm
68
# definition second party data
data that's collected by one firm and shared with a partner organization
69
# definition first party data
collected by a firm through customer interaction, rather than data that's explicitly provided by the consumer
70
# definition third party data
collected by a company that hasn't had the customer explicitly enter a relationship with them
71
# definition cookie
a line of uniquely identifying text stored by a web browser. A cookie can only be retrieved by the web server that assigned the cookie!
72
what can firms do with cookies?
-advertising -storing persistent shopping cars that hold value even if you haven't checked out -holding user IDs -ex: weather site matches cookie they gave you to a zip code you're in
73
# definition retargeting | aka remarketing
lets a website show custom, targeted ads to a user when visiting other sites if that user has already visited a given page on the advertiser's site
74
# definition ad networks
an effort that links advertisers to websites and other content providers that are willing to host advertisements, typically in exchange for payment | ex: on websites on the sides ads for an online store!!
75
is there a clear tech replacement for third party cookies?
No! Since third party cookies have been banned in 2022, there is no clear replacement that would balance concerns over privacy and benefits of customer profiling
76
# definition fingerprinting
info collected about a remote computing device for the purpose of identification
77
# definition click-fraud
generating bogus clicks, either for financial gain (enriching fraud) or to attack rivals by draining their online ad budgets (depleting fraud)
78
# definition geotargeting | aka geolocation
identifying a user's physical location for the purpose of delivering tailored ads or other content
79
# definition geofencing
a region or perimeter-defined geography used to recognize if a device is within a location
80
# definition IP address
a value used to identify a device that's connected to the internet ## Footnote IP addresses usually expressed as 4 numbers (0 to 255) separated by periods
81
# definition MAC address
a media access control address, which is a factory-assigned unique device identification number for any network connection
82
# definition VPN | virtual private network
a service that creates a private connection across the public internet, encrypting transmission, and making your internet communication appear as if it's connected to the organization that provides VPN software ## Footnote ex: if you're a college student and your campus has a VPN, once you set up a connection, the Internet will assume you're on campus, with an IP address provided by your university!
83
# definition data compliance
ensuring that organizations follow requirements for data protection and security
84
In 2024, global digital advertising spnending is projected to reach approx. $740.3 billion, marking...
an 8.9% increase from the $679.8 billion spent in 2023
85
digital ads continue to dominate the advertising landscape, accounting for almost....
59% of total global ad spend