Word of the Day: Tech Definitions from WhatIs.com


July 10, 2017  3:42 PM

augmented intelligence

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Artificial intelligence, augmented, Machine learning

Augmented intelligence is an alternative conceptualization of artificial intelligence that focuses on AI’s assistive role, emphasizing the fact that it is designed to enhance human intelligence rather than replace it. Continued…

Quote of the Day

“AI software is garnering a lot of hype, but many companies are going to have to rethink how they interact with analytics tools in order to capitalize on the true potential of AI.” – Ed Burns

Learning Center
Businesses must prepare for uncertainty of AI systems
AI systems bring with them a lot of uncertainty, which businesses are going to need to adapt to in order to capitalize on the technology’s true potential.

Cogito’s voice analytics software: Augmented intelligence at work
Voice analytics software from Cogito gives call center agents a chance to build a better rapport with customers.

What businesses need to know about cognitive computing systems
Enterprises looking to implement cognitive computing systems need to be aware that these systems have some important gaps in functionality.

Creative projects leave people guessing about future impact of AI
The eventual impact of AI on creative fields like music, film and design could be significant — although, so far, it’s underwhelming.

Alec Ross on how cognitive robots will change the world
Tech policy expert Alec Ross discusses how cognitive robots will impact the labor market and why the U.S. is positioned to capture tomorrow’s industries.

Trending Terms
AI
machine learning
AI attorney
natural language processing
cognitive computing
data mining

Writing for Business
Although some parts of the consumer industry are adept at using artificial intelligence apps practically and profitably, most businesses are slow to ________ and implement AI.
A. except
B. accept
Answer

July 7, 2017  7:01 PM

multimodel database

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
NoSQL, Relational databases

A multimodel database is a data processing platform that supports multiple data models, which define the parameters for how the information in a database is organized and arranged. Continued…

Quote of the Day

“The future of database management systems is multimodel — that is, one product with different database engines, be they key-value, document, graph, wide column store or even relational and SQL.” – Craig Mullins

Learning Center
Agile database development spurs changes in data tech, DBA roles
Agile database development has put developers in the forefront, according to tech leaders on a Postgres Vision panel. Meanwhile, DBAs are playing catch-up.

Azure Cosmos multimodel database delivers features familiar and new
Building on DocumentDB, Microsoft’s Azure Cosmos DB is multimodel database, designed to handle varied data globally.

A look at the leading operational database management systems
Operational database management systems support the different data requirements of modern applications. Learn what the leading vendors offer.

Inside the Amazon DynamoDB NoSQL cloud database as a service
As part of the AWS portfolio, Amazon DynamoDB NoSQL cloud database as a service is offered at a flat hourly rate based on the capacity provisioned.

New DBMS products open the door for a once dormant market
New vendors are evolving DBMS products to help organizations better manage unstructured data from social media and the internet of things.

Trending Terms
relational database
OODBMS
NoSQL
SQL
database management system
JSON

Writing for Business
There’s ___ SQL Server tool available to help DBAs with almost any performance issue they may face.
a. a
b. an
Answer


July 6, 2017  7:56 PM

uninterruptible power supply (UPS)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Data Center, Load bank, Uninterruptible Power Supply

An uninterruptible power supply (UPS) is a device that allows a computer to keep running for at least a short time when the primary power source is lost. It also provides protection from power surges. Continued…

Quote of the Day

“Many modern UPS systems can signal servers to start a controlled shutdown when battery life has dropped below a preset threshold.” – Robert McFarlane

Learning Center
Dodge a data center outage with proper power design, commissioning
To prevent a devastating data center outage, IT should look into commissioning or an audit to identify and address potential points of failure.

How do you choose the best uninterruptible power supply?
Selecting the best uninterruptible power supply for your environment depends on the equipment you need to power, starting with what you plan to operate off each battery.

How do I figure size requirements for a new UPS unit?
UPS system size depends on a variety of factors. Discover how to calculate UPS capacity, and what measurements and conversions you need to make.

Extend UPS battery life, avoid catastrophic data center failure
Like an unreliable friend, UPS battery life can’t always be trusted. So don’t get caught with a power failure — extend your batteries’ life and apply monitors to check in on them.

New eco UPS systems save energy, minimize operational risks
With the possibility of energy efficiency and cost savings, data centers are considering eco UPS systems. These designs rely on direct utility power.

Trending Terms
surge suppressor
N+1 UPS
automatic transfer switch
load shedding
load bank
battery management system

Writing for Business
Data center managers try to maximize energy efficiency to ______ more life from older facilities.
a. eek out
b. eke out
Answer


July 5, 2017  4:11 PM

unified communications (UC)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
UCaaS, Unified Communications

Unified communications (UC) is the integration of communication technologies to help employees exchange ideas and do their jobs more effectively. Continued…

Quote of the Day

“The pillars of unified communications — voice, video, messaging, conferencing and mobility — help organizations construct well-rounded collaboration plans.” – Jon Arnold

Learning Center
How to reap the benefits of unified communications security
Unified communications platforms are more exposed than ever, making UC security a bigger IT priority. Learn how to make UC security a reality.

The five unified communications apps you need
The unified communications apps of voice, video, messaging, conferencing and mobility form the essential pillars of an effective collaboration strategy.

Unified communications platforms get contextual, customizable
While many unified communications platforms offer the same features, some vendors seek product differentiation via customized communications.

How AI services are converging with unified communications
The robot uprising has not quite hit unified communications, but certain AI services could eventually improve collaboration processes.

How to consolidate unified communications platforms
More companies are looking to consolidate their unified communications platforms, as the products now offer a broad array of features.

Trending Terms
IP telephony
presence technology
UCaaS
hyperconnectivity
UCC
click-to-talk

Writing for Business
No matter how important your message is, if you don’t choose the right delivery channel, the point is ____.
a. mute
b. moot
Answer


July 3, 2017  4:22 PM

Amazon Machine Learning

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Amazon, AWS, Machine learning

Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications. Continued…

Quote of the Day

“Amazon Machine Learning is another example of AWS taking something that is complex, expensive and usually slow, and turning it into an easily digestible service offering using tools originally developed by their own teams.” – Jason McKay

Learning Center
Amazon Machine Learning platform packs punch but lacks tooling
The Amazon Machine Learning platform has several noteworthy limitations involving data storage, model tuning and detailed functionality.

Machine learning platforms comparison: Amazon, Azure, Google, IBM
There are many machine learning platforms today, but choosing the right one is tough. Use this chart to learn about your options.

What are the benefits of a machine learning service?
A machine learning service can help companies make informed decisions based on behaviors observed in collected data. AWS Machine Learning service is one such tool.

Cloud AI services slowly but surely lure enterprise IT shops
As enterprises turn to cloud AI services, four cloud providers — Amazon, Microsoft, Google and IBM — battle for the lead in the market.

Machine learning use cases add up in AWS’ favor
Amazon Machine Learning use cases are as diverse as AWS’ pool of customers. Competition exists from IBM and Microsoft, but Amazon’s product has a foothold in the market.

Trending Terms
Amazon S3
Amazon AI
machine learning
Amazon Go
deep learning

Writing for Business
Amazon Go is the best idea for improving the brick and mortar grocery shopping experience in quite _______.
a. awhile
b. a while
Answer


June 30, 2017  4:17 PM

machine learning

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Artificial intelligence, Machine learning

Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. Continued…

Quote of the Day

“Machine learning is a powerful tool, but you can cut yourself. You may have a model that looks like it works, but later you find its predictions are bogus.” – Zoiner Tejada

Learning Center
Machine learning platforms comparison: Amazon, Azure, Google, IBM
There are many machine learning platforms today, but choosing the right one is tough. Use this chart to learn about your options.

Machine learning systems are a ‘land rush’ of opportunity for CIOs
Machine learning systems are breaking new ground, and CIOs have a chance to do the same, according to MIT superstars Erik Brynjolfsson and Andrew McAfee.

A physician-programmer experiments with AI and machine learning in the ER
Artificial intelligence and machine learning are coming to the enterprise. One way for CIOs to prepare is to design a flexible architecture.

Deep learning vs. machine learning: The difference starts with data
While they may seem similar, there are some real differences in deep learning vs. machine learning that can affect analytics applications in businesses.

MIT aims to pry open ‘black box’ of machine learning systems
SystemsThatLearn@CSAIL, a new initiative at MIT, wants to accelerate the development and democratization of machine learning systems.

Trending Terms
AI
data mining
predictive analytics
deep learning
neural network
predictive modeling

Writing for Business
Some employees fear that computers will take over their jobs with the _______ of machine learning, but that is not the case.
A. raise
B. rise
Answer


June 29, 2017  5:57 PM

Network Address Translation (NAT)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
IP address, Network Address Translation

Network Address Translation (NAT) is the virtualization of Internet Protocol (IP) addresses. NAT is described in general terms in IETF RFC 1631. Continued…

Quote of the Day

“If you have NAT, you still need a firewall. No one is going to say NAT protects you to the point where you don’t need a firewall.” – John Curran

Learning Center
Overcome common IP address issues during a cloud migration
IP address issues can complicate a workload migration from a data center to the public cloud. Ensure a smooth transition with these management tips.

John Curran explains the importance of IPv6 connectivity
ARIN chief John Curran explains IPv6 benefits and the importance of IPv6 connectivity a year after depletion of the IPv4 address space.

Paul Vixie on IPv6 NAT, IPv6 security and Internet of Things
Paul Vixie, Internet pioneer and architect of key DNS extensions, spoke with SearchSecurity about IPv6 NAT, IPv6 and the Internet of Things.

Container networking offers opportunity to simplify networks
Container networking is still evolving, but experts and early adopters say they can help reduce complexity in data center networks.

Managing asymmetrical network traffic flows
Bloggers examine complexity stemming from network traffic flows, telemetry for Broadcom Trident and boosting cloud security as part of data protection strategy.

Trending Terms
CIDR
IPv6
STUN
netfilter
private IP address

Writing for Business
The _________ change in IPv6 is the increase of address space.
a. principle
b. principal
Answer


June 28, 2017  8:47 PM

microservices

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Microservices, Monolithic, SOA

Microservices is an approach to application development in which a large application is built as a suite of connected modular services. Continued…

Quote of the Day

“Convergence toward a microservices architectural style does not start at the technology level; it requires organizational change.” – Bert Ertman

Learning Center
Determining when a microservice approach is not the best architecture
A developer at the U.S. Digital Service explains how a blind rush to a microservice approach created more problems than it solved.

IBM delivers new DevOps stack for microservices development
IBM’s new Microservice Builder provides an integrated DevOps pipeline for microservices development, deployment and management.

Everything you need to know — and love — about testing microservices
Testing microservices is just the beginning. Today’s testers need to understand DevOps and containers, too. Expert Gerie Owen has advice on keeping up.

The benefits of microservices for mobile, and how Node.js can help
A Red Hat architect explains why the benefits of microservices are a big win for mobile and why frameworks like Node.js are worth considering.

Red Hat exec explains how to tackle microservices development issues
Find out why microservices development and building a microservice architecture is no picnic, thanks to immature tools and architectural models.

Trending Terms
monolithic architecture
microservice architecture
SOA
containerization
RESTful API
DevOps

Writing for Business
If you’re not _______ well-versed in microservices and containers, you’re running at the back of the pack.
A. already
B. all ready
Answer


June 27, 2017  7:52 PM

backpropagation algorithm

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Artificial intelligence, Machine learning, Neural network

Backpropagation (backward propagation) is an important mathematical tool for improving the accuracy of predictions in data mining and machine learning. Continued…

Quote of the Day

“Today, neural networks mainly learn to recognize patterns found in training data by using an incremental technique called backpropagation.” – Mike Matchett

Learning Center
Delving into neural networks and deep learning
IT will soon use neural networks and deep learning to better manage the data center.

Making Watson-speak elementary: A glossary for users of AI in HR
To stay abreast of AI in HR, follow this short glossary to help understand commonly used terms in artificial intelligence.

Despite progress, the future of AI will require human assistance
The future of AI is promising, but the road to more human-like intelligence is a long one.

System for diners orders up Azure big data platform in the cloud
Hospitality technology and services provider Ziosk looks to Microsoft’s Azure big data platform and machine learning tools to bring advanced analytics to restaurant tables.

A new approach to condensing data leads to a 99% compression rate
Given the enormous thirst for data, coupled with the finite existence of copper and fiber optic cables that link clients and servers together, the need for powerful compression algorithms is self-evident. Has XLABS solved the problem with a 99% rate? They just may have!

Trending Terms
data mining
machine learning
AI
optical character recognition
neural network
predictive analytics

Writing for Business
Although some parts of the consumer industry are adept at using artificial intelligence apps practically and profitably, most businesses are slow to ________ and implement AI.
A. except
B. accept
Answer


June 26, 2017  3:14 PM

corporate culture model

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Corporate culture

A corporate culture model is the organizing principle behind the values, beliefs and attitudes that characterize a company and guide its practices. Continued…

Quote of the Day

“It’s the actions and leadership activities that really drive culture more so than words.” – Isaac Sacolick

Learning Center
Uber CEO’s exit puts spotlight on importance of company culture
Read why Uber CEO’s resignation reinstates the importance of company culture and how CIOs can help set up a culture that works.

Company culture just the first step toward DevOps implementation
With so many pieces making up a successful DevOps implementation, where can companies find best practices?

Curing the IT identity crisis starts with understanding corporate culture
Author Jill Dyche; talks about her new book and explains why she thinks CIOs and IT leaders are going through a serious IT identity crisis.

Enterprise information security and privacy reliant on culture
Human beings are often the biggest threats to enterprise information security and privacy, but strong company leadership can offset these risks.

Company culture ideas to boost your IT channel teams
Need some company culture ideas for your channel firm? Experienced partner executives share their guiding principles for establishing rewarding workplaces.

Trending Terms
market culture
clan culture
adhocracy
innovation culture
holacracy
hierarchical corporate culture

Writing for Business
When you respond to _______________ from multiple companies, you should demonstrate a broad understanding of each organization’s culture.
a. request for proposals
b. requests for proposal
Answer


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