Emerging trends Flashcards
The field of 1._________ and 2._________ is always 3._____ and 4._____.
1.information technology (IT)
2.Information Systems (IS)
3.growing
4.changing
1.______ is making 2._____ in many 3._____, and the 4.____ for these 5.______ is growing quickly.
1.Artificial Intelligence (AI)
2.big changes
3.industries
4.market
5.technologies
1.___ allows 2.______ and 3.____ to think and act on their own, meaning they can recognize patterns and respond in real-time.
1.AI
2.machines
3.software
AI allows machines and software to think and act on their own, meaning they can 1._________ and 2._____
1.recognize patterns
2.respond in real-time
AI allows machines and software to 1.____ and 2._____, meaning they can recognize patterns and respond in real-time.
1.think
2.act on their own
AI tools also help businesses 1._____ and 2.___ customer 3.___. This provides useful insights for leaders. For instance, companies use AI for customer service chatbots that can answer questions and for reports that analyze customer feelings about products.
1.collect
2.analyze
3.data
1.________ brings us closer to the 2._______we see in movies. A good example is 3.______, which was released in 4.______. This technology uses 5._______ processing to create text based on your question. When it came out, it generated a lot of interest as business leaders considered how it could be used in their work and thought about the ethical questions raised by a technology that can produce 6.________
1.Generative Al
2.futuristic technology
3.ChatGPT
4.November2022
5.natural language
6.human-like responses.
The term 1._______ was first used by American computer scientist 2._____ in 3.____. He described it as a computer’s ability to learn on its own without being specifically programmed for each task.
1.”machine learning”
2.Arthur Samuel
3.1959
Machine learning works by 1.___________ to find 2.______. It uses 3._________—to identify patterns and improve over time.Instead of following a fixed set of rules, machine learning algorithms learn directly from the data.
1.analyzing large amounts of data
2.useful information
3.algorithms—step-by-step procedures
In 1.________, machines are trained using 2.________. This means that the input data has already been 3.____ with the 4.______. The machine learns from this 5.______ so it can make predictions later. After training, the machine uses a separate test dataset to predict outcomes based on what it learned.
1.supervised machine learning
2.labeled datasets
3.matched
4.correct output
5.information
1.________ is different because it 2._______. Instead,the machine is trained with an 3._____ and must figure out patterns and groupings on its own. The goal is to organize the data based on 4._____________ without any 5.________.
1.Unsupervised machine learning
2.does not use labeled data
3.unlabeled dataset
4.similarities and differences
5.guidance
1._________ combines both supervised and unsupervised learning. It uses a mix of 2.________ to train the algorithms. This approach helps overcome some 3._____ of using only one type of dataset, making it more 4.______.
1.Semi-supervised learning
2.labeled and unlabeled datasets
3.limitations
4.effective
1.________ works through a 2._____. The AI learns by trying different actions and seeing what happens, similar to a 3.______ method. It receives rewards for good actions and penalties for mistakes. The goal is to 4.______ by learning to make 5.______ over time.
1.Reinforcement learning
2.feedback system
3.trial-and-error
4.maximize rewards
5.better decisions
1._______ is a part of 2.________ that allows computers to learn from 3.______ and 4._______. This means they can find patterns and make predictions with little help from people.
1.Machine learning (ML)
2.artificial intelligence (AI)
3.data
4.past experiences
Machine learning (ML) is a part of artificial intelligence (AI) that allows computers to learn from data and past experiences. This means they can find 1.____ and make 2._____ with little help from 3._____.
1.patterns
2.predictions
3.people
It’s important to note that 1._______ is not the same as 2._______, even though the terms are often mixed up. 3.________ is a specific area within AI. It’s also different from 4._______, which is about using data to predict future outcomes. While 5._______ can be used for 6._______, it has many other 7.________ as well.
1.machine learning
2.artificial intelligence
3.Machine learning
4.predictive analytics
5.machine learning
6.predictions
7.applications
He described it as a 1._______ to learn on its own without being 2.________ for each 3._______.
- computer’s ability
2.specifically programmed
3.task
To create a 1._______, these 2.______ are trained on a set of data called a 3.________. Once the model is 4.______, it can make 5._______ when 6._______ is provided.
1.machine learning model
2.algorithms
3.training dataset
4. trained
5.predictions
6. new data
Further, the 1.______ is checked for
2.______. Based on its accuracy, the
3.______ is either 4.______ or
5._______with an 6.________ until the desired 7.________.
1.prediction
2.accuracy
3.ML algorithm
4. deployed
5.trained repeatedly
6.augmented training dataset
7.accuracy is achieved
1.________ refers to 2.________ of
3.________ that 4.______ may
have trouble processing 5._______.
1.Big data
2.very large amounts
3.information
4.traditional methods
5.efficiently
1.________ is the process of examining
these 2._____ and 3.______ to find useful insights, patterns, trends, and connections.
1.Big data analytics
2.large
3.complex datasets
Big data analytics is the process of examining these large and complex datasets to find 1._____, 2._____, 3.______, and 4.______.
- useful insights
2.patterns
3.trends
4.connections
Big data refers to very large amounts of
information that traditional methods may
have trouble processing efficiently. Big
data analytics is the process of examining
these large and complex datasets to find
useful insights, patterns, trends, and connections. This analysis uses1._____
like 2.______, 3._______,
and 4._______.
- techniques
2.statistical analysis - machine learning
4.predictive modeling
Big data looks at both the numbers 1.________ and the details 2._______in various types of 3.______, including 4._______ and 5.________.
1.(quantitative data)
2.(qualitative data)
3. information
4.unstructured
5.semi-structured data
In addition to the common factors known as the 1.______ “—2._____ (the amount of data), 3.______(the speed at which it is created), and 4.______ (the different types of data)—big data analytics also considers 5._____ (making sure the data is accurate and reliable) and 6._____ (the usefulness
of the data).
1.”Three V’ s
2. volume
3.velocity
4. variety
5.veracity
6.value
1.______ study how different types of
2._____ relate to each other, such as
looking at 3.______ alongside
purchase history to see if there are any
4.______.
1.Data analysts
2.information
3.demographic data
4.connections
This analysis can be done by the
company itself or by outside 1.____ who
specialize in processing 2._____ into
3.______.
1.experts
2.big data
3.understandable formats
Almost every department in a company can benefit from findings from big data analysis— this includes 1._______, 2.______, 3._______, and 4_____.
1.human resources
2.production
3.marketing
4.sales
The goals of using 1._____ can include 2._____ up product launches, 3._______ and 4.______ needed to gain market acceptance, targeting the right customers, and encouraging customer loyalty.
1.big data
2.speeding
3.reducing the time
4.resources
1._______ means accessing computing resources like 2._____, 3.______, 4.______, 5.______, and 6.______ over the internet whenever you need them. You only pay
for what you use.
1.Cloud computing
2.servers
3.data storage
4.networking tools
5.software
6.AI-powered analytics
1.______ provides an easy way to 2.______. 3.________ can also control who has access to different levels of information, allowing employees to get the access they need to do their jobs from anywhere.
1.Cloud computing
2.store data
3.Business leaders
A 1._______ provider 2._______ (CSP) manages these cloud-based services from a remote data center and usually charges a fee based on usage or a monthly subscription.
1.cloud services
2.Communications Service Provider
The 1.________ refers to a network of devices that can connect to the Internet and share data with each other and with 2._______.
1.Internet of Things (IoT)
2.central cloud servers
Some popular consumer IoT devices are 1._______, 2._______, 3._______, and 4._______. As of 2024, there are about 17.08 billion connected IoT devices worldwide.
1.Amazon Alexa
2. Google Home
3.Apple Watch
4.Ring doorbells
The IoT is important because it creates 1._______ for both 2._____ and 3.______.
1.new opportunities
2.consumers
3.businesses
IoT devices are also 1._____ used in many industries. This growth is partly due to faster internet connections provided by 2._______.
1.increasingly
2.5G technology
The 1.________ of IoT make it
vulnerable to 2.______.
1.open connections
2. cyberattacks
1._______ is a way of 2._______ that makes it very hard to change, hack, or manipulate.
1.Blockchain
2.recording information
Blockchain is a way of recording information that makes it very hard to 1._____, 2._____, or 3.______.
1.change
2.hack
3.manipulate
A blockchain is like a 1.________ that 2.______ and 3.______ across a 4._______ involved in the 5.______.
1.shared digital ledger
2. copies
3.distributes transactions
4. network of computers
5. blockchain
In simpler terms, think of a 1.______ as a 2._____,
1.blockchain
2.series of connected blocks
Each 1.______ in the blockchain is verified by the 2.______, which 3.______ it from being 4.______ with.
1.transaction
2.owner’s digital signature
3.protects
4. tampered
A 1._______ uses 2.______ called 3._____ to perform tasks like 4.______ and 5.______ information.
1.blockchain
2.programs
3.scripts
4.entering
5. accessing
in the 1._________, transaction
information is stored in a file called a 2._______, which can hold up to 3._____ (other blockchains may have different sizes).
1.Bitcoin blockchain
2.block
3.4MB of data
When a block is 1.______, its data
goes through a process called a 2._____, which creates a unique code known as the
3._______.
1.full
2.cryptographic hash function
3.block header hash
A ______ is a fixed-length alphanumeric code that represents any length
of words, communications, or data.
“hash”
Blockchain technology can be used to securely record various types of data beyond just transactions. This includes 1.______, 2._______,3._______, 4._______, and
more.
1.votes in elections
2.product inventories
3. state IDs
4.property deeds
The 1._______ is an idea for the future of the internet where people use 2._____ instead of just computers to explore 3._____.
1.metaverse
2.virtual environments
In the metaverse, users can access 1._____ and 2._____ using 3.________.
1.websites
2.services
3.virtual reality (VR) tools
You can think of the metaverse as a
1._______ reality where you can 2._____, 3.______ (or their avatars) from around the world, and work, create, play, or find information.
1.computer-generated
2.share ideas
3.meet people
You can think of the metaverse as a
computer-generated reality where you can share ideas, meet people (or their avatars) from around the world,
and 1.______, 2._____, 3._____, or 4._____.
1.work
2.create
3.play
4.find information
The main goal of the metaverse is to 1.____ internet technology, allowing for more 2.____ and 3._____ than ever before.
1.enhance
2.interactive connections
3.social engagement
They claim that it will be “your
1._____ in which anything is 2._____.”
1.world
2.possible
1.______ enhances the real world by adding 2._______.
1.Augmented Reality (AR)
2.interactive virtual elements
1._________ immerses users in 2._______.
1.Virtual Reality (VR)
2.fully digital spaces
To understand how the metaverse might work in the future, think of it like a ______.
library
A 1.______ is a 2._______ that is just beginning its operations.
1.startup
2.new company
Startups are usually created by 1.______ who want to develop a 2._______ that they believe people will want.
- one or more entrepreneurs
2.product or service
1.______ is famous for its 2.______ and is a popular place for startups, but it is also 3._______.
1.Silicon Valley
2.venture capitalists
3.very competitive
1.________ helps them understand the demand for their product or service, while a 2.______ outlines their mission, vision, goals, management strategies, and marketing plans.
1.Market research
2.solid business plan
When starting a new business, what are the important factors that the entrepreneurs must consider
1.Location
2.Legal Structure
3.Funding
________ has propelled to chatbot stardom in recent months.
Perplexity AI
As innovations such as 1.______, 2._______, the 3.________, and 4.______ continue to reshape industries, staying informed allows professionals to adapt and thrive in their careers.
- artificial intelligence
2.cloud computing
3.Internet of Things
4.blockchain
