Justin Stoltzfus
Stoltzfus spent several years as a staffer at the Intelligencer Journal in Lancaster, Penn., before the merger of the city’s two daily newspapers in 2007. He also reported for the twin weekly newspapers in the area, the Ephrata Review and the Lititz Record. More recently, he has cultivated connections with various companies as an independent consultant, writer and trainer, collecting bylines in print and Web publications, and establishing a reputation for excellence in corporate training, marketing campaigns and other media projects.
Articles by Justin Stoltzfus
Job Role: AI Strategist
What is an AI strategist? It's an interesting question, particularly in how AI is reshaping the business world and revolutionizing how...
Job Role: IoT Product Manager
The IoT product manager is now very much in demand in today's job world. But what do these individuals do?
AI in the Army: How Virtual Assistants Will Impact US Military Ranks
The military is likely to soon use these virtual entities for all sorts of outreach and internal management, prodding us to ask: do we have...
TensorFlow: 6 Courses to Become an Open-Source ML Framework Pro
A guide to six interesting Tensorflow courses available at Coursera
Conquering Algorithms: 4 Online Courses to Master the Heart of Computer Science
Algorithm work is part of the vanguard progress of a world in which data scientists are in high demand. Mastering this field requires a lot...
Job Role: Network Administrator
The network administrator is the connector of pieces and the guardian of the network as a whole, but they are also a lot more.
Understanding Big Data: 6 Online Courses to Help You Best Understand Your Data
Big data is the order of the day, but ever since advanced storage media made it possible for us to compile much larger amounts of...
Job Role: Business Intelligence Analyst
In the broadest sense, the business intelligence analyst is responsible for working with business intelligence data, creating insights and...
How Cloud Computing is Changing Cybersecurity
Cloud security is a serious issue; how has the cloud changed the cybersecurity game?
Breaking Into Machine Learning: 5 Online Courses to Help You Get Started
Machine learning is a quickly emerging field. If you want to get started in ML, these 5 online courses are a great place to start!
6 Software Development Concepts You Can Learn Through Online Courses
When it comes to understanding the process of software development, there’s a lot to learn. These Coursera offerings can help you up your...
10 Essential Computer Science Courses You Can Take Online
Computer science is a broad and fundamental part of the technology industry. Online programs offer students the ability to learn from...
Job Role: Hardware Engineer
Hardware engineers need to understand how physical systems are provisioned, but they also need to have an inkling of the return on...
4 Myths About Starting a Machine Learning Project
Starting out with a machine learning project can be a daunting process for executives who want to take advantage of this IT trend but may...
Job Role: Database Administrator
Ever since the first and most primitive databases appeared in computer mainframe systems, database administrators have handled the tough...
Job Role: Ethical Hacker
In the world of enterprise IT, the term “ethical hacker” is quickly gaining ground. On a very basic level, ethical hackers are...
Job Role: AWS Solution Architect
The AWS solutions architect is someone who fits AWS services to an enterprise model. An AWS solutions architect boils down the components...
Information Security: Understanding and Securing the New Perimeter
Instead of trying to create a wall around an entire private system, more security professionals and companies are focusing their security...
Job Role: Data Engineer
Data engineers are very much in demand these days, but too many executives and others have big questions about what these professionals do....
How to Recognize Machine Learning (And How Data Science Stands Apart)
ML is a valuable part of data science. But data science represents the vaster frontier and the context in which machine learning takes...
Big Data Silos: What They Are and How to Deal With Them
In the digital world, the free flow of data is critically important. When this free flow of data is impeded for any reason, professionals...
6 (Scary) Things AI Is Getting Better at Doing
Scared of AI? Maybe you should be! Here are some areas of “progress” where AI is advancing very quickly in a way that can seem a little...
Job Role: Systems Analyst
A systems analyst is a valuable part of any company that has any significant IT architecture. But sometimes it’s hard to pin down exactly...
Data Science: What to Expect in 2019
Data science is rapidly changing. New advances in AI and machine learning mean that data can be applied in brand new ways, and in...
IT Security: What to Expect in 2019
There is so much ahead in the cybersecurity world - with AI and more, companies are evolving to meet the challenges of a connected world.
Job Role: Software Engineer
Software engineers are behind the software and apps that we use every day. But what exactly does the role entail? Here we examine the...
Job Role: Data Analyst
Data analysts are people who collect data and use that data to provide insights. They are “translators” of raw numbers and data points into...
Key Factors M2M and IoT Will Play in Future Mobile Apps
Two different approaches to connected devices are making waves in the IT world: machine-to-machine, which focuses on connecting equipment...
Can the Blockchain Be Hacked?
There’s a battery of questions related to the underlying security of the blockchain. Boiled down into a simple question: you might say –...
Why Superintelligent AIs Won't Destroy Humans Anytime Soon
Will AI take over world and destroy humanity? For many experts, the answer is a resounding “no.” Most would agree that we need ethical,...
Job Role: Data Scientist
What does a data scientist do in the context of artificial intelligence and machine learning work? A better question would be: What do data...
Job Role: IoT Solutions Architect
The IoT is a new and exciting world, and the IoT solutions architect is very much in demand. This professional takes part in a lot of the...
How Can Containerization Help with Project Speed and Efficiency?
Why are containers so popular, and how do they contribute to efficiency and enhanced operations? Here are some ideas from some of the...
6 Efficiency Tips for Database Admins
Databases are complicated, and DBAs sometimes can feel overwhelmed by everything that needs to be done. These tips can help keep things in...
5 SQL Backup Issues Database Admins Need to Be Aware Of
SQL is an essential part of most databases’ operations, but are you backing it up properly? Here we look at SQL backup issues that can trip...
When DevOps Goes Bad
DevOps can be a boon for a business, but only when it's done right. Here we take a look at some of the mistakes to avoid, as told by tech...
Talking Embedded Analytics with Qlik
Embedded analytics is the key to helping businesses make better, more informed decisions. Here we talk with Catherine Frye about how Qlik...
DevOps Managers Explain What They Do
Here we explain what a DevOps manager does ... and why that's important.
The 6 Most Amazing AI Advances in Agriculture
Most people don’t associate cutting-edge technology with agriculture, but that is changing with the help of new developments in artificial...
Cybersecurity: How New Advances Bring New Threats - And Vice Versa
AI and IoT are bringing exciting new advancements, not just for ordinary folks, but for hackers as well. As malicious entities try to...
The Control Panel: Why the Best Vendor Cybersecurity Dashboards Are Complex
Cybersecurity consists on an intricate web of technologies, all working side by side to protect your digital assets. Here we take a look at...
Making Networks More Secure in the Age of Cybersecurity
Threats are constantly evolving, and so must your security. Here we take a look at some of the most important aspects of modern...
6 Big Advances You Can Attribute to Artificial Neural Networks
Artificial neural networks are paving the way for scientific, social and economic breakthroughs. Here's a closer look at some of the...
Simply Secure: Changing Password Requirements Easier on Users
The latest changes in NIST password requirements are welcome changes for both users and administrators: no more special characters, and no...
5 Ways to Go Undetected Online
Online privacy and security are big concerns these days, but protecting yourself online is easier than you might think.
4 Reasons Why BYOD Is No Longer An Optional Strategy
Not long ago, bring your own device (BYOD) was a hot new trend, but now it's simply a reality of modern business. Find out why BYOD has...
Turbonomic: Bringing Autonomics to Virtualization
VMTurbo has become Turbonomic. This name change also signifies a shift toward autonomic computing - systems managing their own resources...
Naming Conventions: What's the Big Deal?
Conventions are guidelines that are meant to be followed, but what happens when they're not? In programming, Yoda conditions alter the...
The Work of Ten Pros: 10x Developers - Are They Real?
The 10x developer - a developer who's ten times as productive as average developers - is somewhat of a mythological figure in the world of...
5 Ways Companies Can Cut Cloud Costs
Cloud services have become indispensable for business, but with ever-increasing pressure to keep budgets in line, tech professionals are...
Internet in the Developing World - Questions Around Access and Net Neutrality
Is it better to have access to limited parts of the Internet than to have no access at all? This is a hotly debated question surrounding...
5 Ways Our Cars Have Become Computers
Cars are constantly becoming more high tech, but not everyone agrees these "upgrades" are for the best.
New Generators Put Modern Algorithms to Work on ASCII Art
ASCII art, once a response to the limitations of computers, is showing a resurgence in popularity with new algorithms that can...
Uncle Sam in the Cloud? Federal Trends in Cloud Use
The U.S. government is beginning to utilize cloud computing for its convenience and cost savings.
Should You Worry About Rowhammer?
Rowhammer is a memory problem that could be exploited via the Web. Learn about what it is and what's being done to counter it.
A Loon-y Proposition - Your Future Wireless May Be Brought To You By a Hot Air Balloon
Google is known for unique and ambitious projects, and Loon is no exception - it uses hot air balloons to broadcast Wi-Fi signals,...
Distance Charging - Juice Up Your Smartphone From the Next Room?
What if you could charge your smartphone throughout the day, without ever having to remove it from your pocket or purse? That's what the...
What Exactly Is Application-Centric IT Management?
Application-centric IT management is a new trend in IT, but just what is it? Industry leaders explain how it works and what it means to...
Why Hybrid Hosting Is Becoming a Popular Cloud Hosting Solution
Hybrid hosting most commonly refers to the use of both public and private cloud hosting solutions. But how does this work, and how can it...
Solar Clothes? Perovskite Adds Potential for Charging Fibers
Perovskite is a mineral with unique properties, including the ability to collect solar energy. See the potential applications of this...
Does Your Web Project Need Sass?
While HTML and CSS have been used for years, Sass is relatively new to the Web development scene. It can greatly simplify the development...
Born in the Cloud: The Next Generation of Cloud Services
There's a new category of cloud vendors known as "born in the cloud." What sets this new generation of vendors apart from legacy cloud...
5 Research Tools for Enterprise in a New Business World
While businesses today are focused on data, many are neglecting research. Here we discuss five research tools that can help with research.
SEO's Not Dead, It's Just Changing
SEO has been a standard practice to elevate search rankings, but with recent changes in Google's search algorithms, SEO is shifting away...
New Visual Basic: New Name, New Features
Microsoft is releasing its newest version of Visual Basic with the Visual Studio 2015 package. Visual Basic 14 includes new features to...
5 Big Cloud Security Features for Enterprise Use
The cloud is gaining wide popularity as an enterprise tool, but for cloud use to be effective, proper security measures must be taken.
Does a Car Really Need a 'Smart Key'?
Smart keys may seem like modern marvels of technology, but they're not always as smart as their name implies. Smart keys can cause numerous...
3 Big Headaches for Virtualization Software Users
Businesses are rapidly turning to virtualization software to solve their problems, but they often don't consider any of the challenges that...
Aggregated Security with OpenDNS
Enterprise security is a multifaceted endeavor, often requiring multiple tools to protect against threats. OpenDNS is a tool that attempts...
Ditch Your Inbox? No-Email Initiatives and What They're For
For many in the business world, email equals stress. Some are trying to reduce dependence on email in order to help employees de-stress,...
The Future is Bright for OLED Displays
OLEDs are still a relatively new technology, but with their flexibility and energy efficiency, the possibilities are limitless.
Why Use Cloud Access Security Brokers?
Cloud access security brokers are gaining popularity, but what exactly are they and how do they help keep you secure in the cloud?
5 Things Mobile Virtualization Will Do
Mobile virtualization opens up a whole new world of options for mobile computing and communications. It can has the potential to help with...
Virtualization Versus the Cloud
These two terms are closely linked, but confusing them is a recipe for disaster in terms of understanding vendor models and pricing.
Cloud Computing and Carbon Footprints: Why Cloud Solutions Are Green Solutions
Cloud computing is becoming a major trend in business, but not only is it economical, it is also environmentally friendly.
5 Ways to Get Value Out of Your Business Data
Your business is surely collecting data. But the question is, what are you doing with that data? Here we examine ways to put that data to...
5 Geek Terms That Are Cooler Than They Sound
You shouldn't judge a book by its cover, and by the same token, shouldn't judge technology by its name. Here are some technologies that...
Recycling Old Tech - It's the Law
Many people are accustomed to throwing out their old technology with the trash, but new laws are enforcing proper disposal of unwanted...
5 Weird Ways Technology Is Changing Our Behavior
High-tech consumer devices have changed a lot of us in very fundamental ways, perhaps more than we realize - or would like to admit. Check...
I Hear Dead People? Natural Language Tech Makes Past and Present Voices Come Alive
Forget canned voices; reproducing real ones is the new goal for natural language processing. Learn more about this technology here.
No, That's Not My Hand In There! Why Sockpuppet Marketing Is Bad News
Sockpuppet marketing is shilling in sheep's clothing. Here, we review this online scourge, its legal ramifications and advice from Google's...
Sudden Interface Changes: Why Disorienting Users Can Hurt
Sudden interface changes can be a nightmare for unprepared users, and service providers often find that the smallest alterations generate...
The Analytical Engine: A Look Back at Babbage's Timeless Designs
We look back at the analytical engine for a better view of how humanity created our ever-evolving machines.
Computer Programming for the People?
This movement has its critics, but it's looking to empower a new generation of computer users. Hear more from both sides of the debate.
The Simple Answer to Many Major Security Breaches? Thumb Drives
Many of the biggest security breaches occurred through a USB stick. Find out how companies are protecting themselves.
E-Textiles: Will Your Clothes Be Smarter Than You?
Get ready for clothes that "talk" and "listen." New e-textiles are quickly changing what wearable devices can and can't do.
When SQL Isn't Enough: Controls for Massive New Data Centers
How do companies and government agencies conquer the limitations of the traditional data handling pathway? Here we'll take a look at one...
The New Technology That Could Double Wireless Spectrum Efficiency
New digital tools could change the face of the wireless industry, where a growing lack of resources is making telecom providers distinctly...
Eat This Tweet: Creating Life Cycles for Social Media Messages
New technologies are helping users destroy digital messages and images they send after a short time, but what really happens to these...
VIDEO: Rajat Taneja on Video Games as the Biggest Big Data Challenge
Entertainment Arts Chief Technology Officer Rajat Taneja offered detailed insights into what’s going on now in the video gaming industry,...
Bye Bye Boss, Hello Office of the Future
Day-to-day management is changing fast, but is the end of the brick-and-mortar office drawing near? As more and more people are able to...
Gaming Principles and the Future Virtual World
In exploring the boundaries of what's possible in a game world, developers can get closer to answering some broader questions about...
5 Things to Look for in CISPA's Replacement
CISPA failed in the Senate, but that doesn't mean it's dead. Here's what to look for in the next go-round.
What You Should Know About Service-Level Agreements
SLAs may be dense, awkward documents, but they play a big role in how third-party vendors offer services to corporations and businesses....
Video: George Dyson on Big Data's Birth and Where It's Headed
This video from the London 2012 Strata Conference provides a rich history of data storage and data handling and a look at the challenges...
Video: Drew Conway and Jake Porway on Data Without Borders
This talk from the 2011 Strata Conference in New York looks at how big data can be used to solve big problems.
What Do Massive Open Online Courses (MOOCs) Mean for Education?
MOOCs are offering a brave new option at a time when traditional college degrees have lost a little of their shine. Learn more about them...
Video: Sugata Mitra on the Cloud-Based Schools of the Future
Dr. Sugata Mitra, an educational researcher and professor of educational technology at Newcastle University, took to the stage at TED2013...
Video: Vijay Kumar on Agile Aerial Robots, Artificial Intelligence
In a February 2012 TED talk in Long Beach, California, University of Pennsylvania professor Vijay Kumar talks about agile aerial robots and...
Video: Ray Kurzweil on 'Exponential' Tech Advancement
At last year’s SXSW event, eminent IT guru Ray Kurzweil spoke about continued advances in technology and how they can be predicted. View...
Video: Mike Olson, CEO of Cloudera, on Hadoop and Future Research Possibilities
The Hadoop analytics platform has some significant limitations involving speed and complexity, but industry leaders are working to change...
An Introduction to Candidate Keys
Learn the basics of candidate keys and how they operate in a database.
Video: Kate Crawford of Microsoft on Big Data Vs. Data With Depth
Principal researcher at Microsoft Research Kate Crawford makes the case that while big data is essential to many business applications,...
Unraveling SoLoMo and the Future of Search
SoLoMo is a mashup of the terms "social," "mobile" and "local." Find out more about what it means - and why people are talking about it.
An Introduction to Transaction Processing
Many different types of businesses invest in a transaction process system as part of IT merchant services or other parts of the software...
Raiding the 'Headquarters' of Click Fraud Operations
Click fraud may be a virtual crime, but its effects are becoming increasingly real for consumers and businesses.
Trans-Atlantic Cable: The Real Infrastructure of the Internet
The trans-Atlantic cable is nothing new, but it may just be the next wave in a move to increase connectivity and transmission speed...
Why Tech Companies Use Code Names
These code names are imbued with a sense of mystery, but what do they really mean? Here we take a look at how - and why - the tech industry...
Slow Dancing With Technology: Debugging, the Programmer and the Machine
Thoughtful leaders have dreamed up a more fluid software release structure to bridge the development and production environments, but...
What Mean Time Between Failures Really Means
Have you seen the figure MTBF on computer and electronics packaging? Chances are, it doesn't mean what you think it does.
DevOps 101
Although the basic idea of DevOps is straightforward, people use and discuss the term in a lot of different ways. Here we take a look at...
Nanotechnology: The Biggest Little Innovation in Tech
Like many buzzwords, most people are familiar with the term nanotechnology without knowing what it really means, or how advances in...
How Much Do Online Marketers Know About You?
Marketers have always gathered data about potential customers, but what they know is getting increasingly specific - and personal.
Revolution In Hard Drives: Frickin' Laser Beams
Some new technologies suggest that a terabyte per second data transmission speed may now be within reach. And yes, these technologies...
New Advances in Biometrics: A More Secure Password
Biometric systems could replace cumbersome passwords, but these security measures have drawbacks of their own. Learn more about what's on...
Raspberry Pi Revolution: Return to Computer Basics?
This device hearkens back to the time of the Commodore and the Atari, when a machine's fundamental controls were not hidden by windows and...
Using Product Management Features in a CRM Solution
Knowing more about how a product fits into a greater high-tech methodology for today’s businesses, as well as understanding how product...
Is the Cloud Catching on in Your Doctor's Office?
Medical cloud services are making headway in health care with the migration to electronic medical records for doctors and physician...
The Carbon Footprint of a Web Search: Who's Green?
The energy used by a set of servers responding to a keyword search may be marginal, but they all add up to significant energy use.
Cloud Computing for Vehicles: Tomorrow's High-Tech Car
The idea of using cloud-based services in vehicles is just starting to catch on, providing inspiration for a lot of potential innovations...
Q&A by Justin Stoltzfus
Why are SQL injection and query string manipulation gaining in cybercrime popularity?
SQL injection, along with the related manipulation of query strings, is widely cited as one of the most popular ways of hacking into a...
Why aren’t more people choosing cybersecurity as a career?
It's a big question – all over the IT industry, cybersecurity professionals are very much in demand. Companies need help circling...
How are top enterprises effectively applying IoT to their BI strategies?
The idea of applying the Internet of Things (IoT) to business intelligence (BI) is now becoming a mainstream part of corporate strategy....
What are some significant challenges companies are facing when it comes to management reporting?
Companies face an array of serious challenges in management reporting, which is essentially a broad-spectrum approach to providing...
Can there ever be too much data in big data?
The answer to the question is a resounding YES. There can absolutely be too much data in a big data project.There are numerous ways in...
What is TensorFlow’s role in machine learning?
TensorFlow is Google's popular contribution to machine learning work. It consists of an open source set of resources with data flow...
How do machine learning professionals use structured prediction?
Machine learning professionals use structured prediction in a whole multitude of ways, typically by applying some form of machine learning...
Why is a confusion matrix useful in machine learning?
There are a number of ways to talk about why a confusion matrix is valuable in machine learning (ML) – but one of the simplest ways...
Why is so much of machine learning behind the scenes - out of sight of the common user?
This fundamental question about machine learning takes into account many different aspects of how these complicated programs work, and what...
Why is it important for data scientists to seek transparency?
Transparency is essentially important in data science projects and machine learning programs, partly because of the complexity and...
What is 'precision and recall' in machine learning?
There are a number of ways to explain and define “precision and recall” in machine learning. These two principles are...
Why are GPUs important for deep learning?
The use of graphics processing units (GPUs) has particular importance for the field of deep learning. The reason has to do with how deep...
What are some of the main benefits of ensemble learning?
Ensemble learning has various benefits for machine learning projects. Many of these are related to using a large number of relatively...
What’s a simple way to describe bias and variance in machine learning?
There are any number of complicated ways to describe bias and variance in machine learning. Many of them utilize significantly complex...
What's the difference between machine learning and data mining?
Data mining and machine learning are two very different terms – but they are often both used in the same context, which is the...
Will machine learning make doctors obsolete?
The question of whether machine learning programs will eventually replace human physicians is an interesting one. It has its basis in...
Why is data visualization useful for machine learning algorithms?
The discipline of data visualization gives us practically infinite ways to show off what's happening with machine learning algorithms....
What are the four foundations of becoming a good data scientist?
As many experts point out, becoming a great data scientist requires a combination of skills and experience that gets built through...
What are some of the foundational ways that career pros stand out in machine learning?
Machine learning success often requires a combination of skills and experiences. Going into detail about some of these principles and skill...
What are some of the dangers of using machine learning impulsively?
Machine learning is a powerful new technology – and it's something that a lot of companies are talking about. However, it's...
How can containerization be a good choice for a machine learning project environment?
Some companies are moving toward containerization for machine learning projects, based on some of the benefits that container setups offer...
Why run ML training on a local machine and then run regular execution on a server?
The question of how to structure a machine learning project and its train and test phases has a lot to do with how we move through the ML...
Why do security professionals consider bitcoin and cryptocurrency mining a potential for 'parasitic' hacker activity?
There's a strange convergence between the idea of mining cryptocurrencies like bitcoin, and the practice of parasitic "...
How do the Chrome Store's malicious ad blockers show the duplicity that end users face in cybersecurity?
The recent rash of malicious ad blockers dropped from Google's Chrome Store shows how difficult it is to shield end users from...
How does Saudi Arabia's Sophia robot raise frightening new cybersecurity questions?
One of the hottest new artificial intelligence technologies is a life-sized robot made to look and act like a woman.Her name is Sophia, and...
What are some key ways that the IoT is affecting health care?
The internet of things (IoT) is a big, exciting new phenomenon that's changing the technology world and renovating various industries,...
What's behind the big 'quantum rush'?
Nations are experimenting with quantum technologies at a rapid pace. The European Union has just set up a “quantum flagship”...
How does max pooling help make AlexNet a great technology for image processing?
In AlexNet, an innovative convolutional neural network, the concept of max pooling is inserted into a complex model with multiple...
How does NeuroEvolution of Augmenting Topologies contribute to genetic machine learning?
NeuroEvolution of Augmenting Topologies (NEAT) contributes to genetic machine learning by providing a cutting-edge innovative model based...
Why are artificial recurrent neural networks often hard to train?
The difficulty of training artificial recurrent neural networks has to do with their complexity.One of the simplest ways to explain why...
Why is data annotation important in some machine learning projects?
Data annotation is important in machine learning because in many cases, it makes the work of the machine learning program much easier.This...
How can machine learning help to observe biological neurons - and why is this a confusing type of AI?
Machine learning doesn't just model human brain activity – scientists are also using ML-driven technologies to actually look at...
What is the difference between IPv4 and IPv6?
There are numerous differences between the IPv4 and IPv6 protocols, but all of them are based on the issue of a progressive step in...
How can new MIT chips help with neural networks?
New scientific work on neural networks may reduce their power and resource requirements to the point where engineers could put their...
Will machine learning advances spur cross-platform data set deployment?
What are we talking about when we talk about machine learning and AI in business?Lots of different people have different opinions –...
How might machine learning tools evaluating emotion help with call center problems?
In many ways, the virtual assistance and interactive voice response (IVR) systems in today's call centers are still pretty primitive...
What are the five schools of machine learning?
To those who haven't researched what's behind modern machine learning and artificial intelligence work, all of this effort and...
Why are machine learning rational agents so important to retail applications?
Rational agents serve various purposes in machine learning and artificial intelligence projects, but they are particularly useful in retail...
How is machine learning affecting genetic testing?
Machine learning is being applied to genetic testing in many different ways.The applications are nearly endless. Machine learning is...
How is the master algorithm changing the machine learning world?
An idea called the "master algorithm" is having an effect on how we view machine learning and artificial intelligence work.The...
Why do AI engineers have to worry about intuitive engines?
The idea of human intuition is now a major part of groundbreaking artificial intelligence work – which is why AI engineers pay so...
Why are machine learning experts talking about Xavier initialization?
Xavier initialization is an important idea in the engineering and training of neural networks. Professionals talk about using Xavier...
How is artificial intelligence enabling brain boost to enhance memory with electrical brain stimulation?
New methods of artificial intelligence science are helping researchers to understand more about how the brain works – and in some...
How can AI revolutionize consumer markets through automated search?
Although artificial intelligence and machine learning will change many industries, one of the largest impacts will be felt in consumer...
Why is DARPA researching 'explainable AI'?
In general, explainable artificial intelligence is becoming a much heralded part of cutting-edge work in data sciences. It's helping to...
Why are some experts saying that AI will 'destroy digital authenticity'?
Machine learning and artificial intelligence are rapidly changing many industries, and really reshaping the ways that we think about...
How does dynamic allocation in the cloud save companies money?
The idea of dynamic allocation of cloud resources solves a number of very important problems for enterprise IT. One of the best ways to...
Why should companies be considering intent-based networking?
The short answer to why intent-based networking is so important is that company networks are essentially the core infrastructure for most...
How do chatbots deal with accents?
With the emergence of newer and more sophisticated chatbots over the past few years, people in many industries are observing how chatbots...
What is the difference between speech to text and chatbots?
The numerous significant differences between speech-to-text technologies and chatbots is part of what's being examined in the rapid...
Why might some machine learning projects require enormous numbers of actors?
When you think of machine learning, you tend to think of skilled data scientists working on keyboards in computer rooms. There is an...
Why are deep learning, machine learning and AI so important in telemedicine and other types of medical services?
The fields of machine learning and artificial intelligence have many exciting applications to the medical field in general, and telehealth...
Why are companies sourcing GPUs for machine learning?
If you're reading about machine learning, you're probably hearing a lot about the uses of graphics processing units or GPUs in...
How can engineers evaluate training sets and test sets to spot possible overfitting in machine learning?
To understand how this is done, it's necessary to have a basic grasp of the roles of different data sets in a typical machine learning...
Why does 'bagging' in machine learning decrease variance?
Bootstrap aggregation, or "bagging," in machine learning decreases variance through building more advanced models of complex data...
Why is semi-supervised learning a helpful model for machine learning?
Semi-supervised learning is an important part of machine learning and deep learning processes, because it expands and enhances the...
How can the Chinese restaurant process and other similar machine learning models apply to enterprise AI?
The question of how the Chinese restaurant process can instruct enterprise AI is an interesting one, as right now, companies in all sorts...
How can new machine learning capabilities enable the mining of stock documents for financial data?
One of the exciting new frontiers of machine learning and AI is that scientists and engineers are embarking on various ways to use...
How can a 'random walk' be helpful in machine learning algorithms?
In machine learning, a "random walk" approach can be applied in various ways to help the technology sift through the large...
How can engineers use gradient boosting to enhance machine learning systems?
Like other kinds of boosting, gradient boosting seeks to turn multiple weak learners into a single strong learner, in a kind of digital...
Why is feature selection so important in machine learning?
Feature selection is extremely important in machine learning primarily because it serves as a fundamental technique to direct the use of...
How do deep stubborn networks play a role in AI evolution?
On the face of it, deep stubborn networks simply "add functionality" to an existing technological construct, the generative...
Why might companies invest in "character AI"?
The term "character AI" is not used extensively online – in fact, popular Google results for this term seem to come almost...
Why are people talking about the 'tipping point' for machine learning?
A significant number of experts are alerting others to the idea that machine learning is really due to explode within the next few years as...
What are some ways that machine learning systems can be helpful for human resources?
Wherever you look, machine learning is transforming industries. One of the later adopters is the human resources field – at first,...
Why is TensorFlow so popular for machine learning systems?
There's a big trend happening in machine learning (ML) – programmers are flocking toward a tool called TensorFlow, an open-source...
How can a convolutional neural network enhance CRM?
The emergence of new neural network technologies means a lot for the field of artificial intelligence. Convolutional neural networks, or...
Why is consumer ML/AI technology so "disembodied" compared to industrial mechanical/robotics projects?
The question of why robotics has not kept pace with machine learning and artificial intelligence (AI) work in consumer electronics is an...
How can machine learning work from evident inefficiencies to introduce new efficiencies for business?
One of the biggest potential applications of machine learning systems is the mining of important efficiencies for business processes and...
How has data scraping for machine learning become the most labor-intensive bottleneck since manual data entry in legacy migration?
One of the practical problems that companies might encounter when trying to start a machine learning (ML) project is the challenge of...
Why are huge numbers of image files important to many machine learning projects?
For companies that are looking to get involved in their first machine learning (ML) investments, the whole process can seem a little...
Why is bias versus variance important for machine learning?
Understanding the terms "bias" and "variance" in machine learning helps engineers to more fully calibrate machine...
How might the concept of equilibrium inform machine learning projects?
In general, an equilibrium will inform machine learning by seeking to stabilize machine learning environments and create outcomes with a...
How does Occam's razor apply to machine learning?
The use of Occam's razor dates back to William of Ockham in the 1200s – it's the idea that the simplest and most direct...
How does Amazon Web Services (AWS) facilitate AI opportunities for clients?
Amazon Web Services (AWS) is a highly evolved comprehensive cloud suite for clients who want a range of resources that can facilitate...
How can learning agents "learn to use the web"?
One of the most compelling individual examples of progress with machine learning (ML) and artificial intelligence (AI) involves digital...
How are companies trying to add a speedometer to artificial intelligence work?
Some of the companies working on the newest advances in artificial intelligence are becoming focused on quantifying the progress that...
Why is the "information bottleneck" an important theory in deep learning?
The idea of an “information bottleneck” in artificial neural networks (ANNs) operates on a special principle related to the...
Why is patch management so important in cybersecurity?
The issue of patch management is something that cybersecurity experts often think about in the context of keeping systems safe. Essentially...
Why are companies paying so much for AI professionals?
Recent reports from sources like the New York Times show that leading technology companies are offering new employees hundreds of thousands...
How can businesses innovate in managing data center bandwidth?
More sophisticated methods of managing data center bandwidth allow for more consistent performance, and allow administrators to avoid...
Why is it important to manage a relational database system in the cloud?
Cloud database systems help to give businesses a more versatile way to handle relational database functionality. It's convenient to be able...
How does a weighted or probabalistic approach help AI to move beyond a purely rules-based or deterministic approach?
Machine learning and artificial intelligence principles are rapidly changing how computing works. One of the key ways that this is...
How might businesses use the AI potential of real-time data systems like SAP HANA?
New cloud-based systems like SAP HANA take advantage of particular hardware and IT architecture setups to utilize the data and also exploit...
How did Moore's law contribute to the current AI revolution?
It's tempting to think of today's progress in artificial intelligence as mainly related to solving logical and data-oriented problems, but...
Why is multi-factor authentication an important component of cybersecurity?
Capable cybersecurity vendors and consultants often talk about multi-factor authentication (MFA) as a modern best practice. The reason has...
How can neural networks affect market segmentation?
New artificial neural networks are useful in a broad spectrum of ways, but one of the most popular applications is to the marketing world....
What does 'connectionism' mean for business AI?
The concept of artificial intelligence is applied to business in many different ways, and big shifts in artificial intelligence research...
How are logic gates precursors to AI and building blocks for neural networks?
Logic gates are the logical constructs that make up the framework for path generation in computer processing. The use of logic gates in...
Why are some companies contemplating adding 'human feedback controls' to modern AI systems?
Some companies working with cutting-edge AI technology are working to institute human controls for these systems, giving machine learning...
Why is machine bias a problem in machine learning?
This question can be answered in two different ways. First, why is machine bias problem, as in, why does it exist in machine learning...
How can machine learning and AI help move companies from a perimeter approach to cybersecurity?
Machine learning and artificial intelligence tools have enormous potential to help companies and other parties deal with a spectrum of...
What does "layered security" really mean?
The idea of “layered security” is central to some of the most relevant ideas in cybersecurity today – it's a way to understand the...
How might companies use random forest models for predictions?
Companies often use random forest models in order to make predictions with machine learning processes. The random forest uses multiple...
Can the same machine learning tools work for both retail and manufacturing businesses?
When it comes to tailoring machine learning tools for both retail and manufacturing businesses, there are some significant similarities,...
How can machine learning help with maintenance, repair and overhaul (MRO) processes?
Machine learning can help with both predictive and regular maintenance, and the general maintenance, repair and overhaul (MRO) processes...
Why might companies use Amazon Machine Learning and related tools?
One of the most fundamental reasons – probably the most fundamental reason – to use the Amazon Machine Learning (AML)...
Why is scalable machine learning important?
Scalable machine learning is a major buzzword in the machine learning industry, partly because getting machine learning processes to scale...
How might companies use Apache Mahout for machine learning?
In general, companies often use tools like Apache Mahout to develop machine learning solutions for using large data sets in business...
How is an induction algorithm used in machine learning?
In the field of machine learning, an induction algorithm represents an example of using mathematical principles for the development of...
What are some factors that contribute to AI "drift"?
“Artificial intelligence drift” is a relatively obscure term, and you won't see it mentioned a whole lot in online tech literature. However...
Why might a company shut down a chatbot AI project?
Companies might shut down artificial intelligence chatbot projects for many reasons, but the most likely ones can be grouped into a couple...
What are some best practices for cloud encryption?
With so many companies moving data to the cloud in one way or another, encryption has become a major part of the overall effort of...
Why do cloud providers seek FEDRamp certification?
Many cloud providers look to become certified with FEDRamp, a federal cybersecurity program. The essential reason that so many companies...
How might a team make an app "cloud-ready"?
Many companies are trying to figure out how to send applications and workloads to the cloud. When it comes to designing applications for...
How does visibility help with the uncertainty of handing data to a cloud provider?
When it comes time to migrate to the cloud by augmenting on-premises systems with cloud services from vendors, having good visibility can...
How can companies maintain application availability standards?
Maintaining availability for applications can have a broad and significant effect on business processes. In general, making sure that...
Why is Python so popular in machine learning?
There are a number of reasons why the Python programming language is popular with professionals who work on machine learning systems.One of...
What's the difference between a CPU and a GPU?
Despite having similar acronyms, a CPU and a GPU are quite different. The biggest difference between a CPU and a GPU has to do with the...
What’s the difference between artificial intelligence, machine learning and deep learning?
The terms “artificial intelligence,” “machine learning” and “deep learning” describe a process that has...
Why does loosely coupled architecture help to scale some types of systems?
A loosely coupled architecture is generally helpful in scaling many kinds of hardware and software systems. This is one of the primary...
How might companies deal with hardware dependencies while moving toward a virtualization model?
In order to truly make use of the principle of network virtualization, companies need to move away from the hardware dependencies that are...
Why could a "resource hog" make virtualization difficult?
Virtualized systems can provide big benefits for companies. However, this isn't true in all cases. Businesses have to look at the key...
Why does virtualization speed up server deployment?
In many cases, companies can greatly increase the speed of server deployment by utilizing virtualized systems. One of the best ways to...
What is the virtualization "backlash" and why is it important?
The virtualization backlash in IT is the idea that some companies may be moving away from that classic virtualization structure, either...
Why should cloud services offer both elasticity and scalability?
Although elasticity and scalability are two different principles, some IT professionals and other stakeholders tend to think of them as...
How might a company utilize a virtualization resource summary?
Companies may use a virtualization resource summary or some similar tool to look at how a virtualization system is working. A...
What are some of the positives of a demand-driven migration model?
Using a demand-driven migration model can help businesses to refine the ways in which they move data and upgrade from legacy systems to new...
Why do undersized VMs lead to latency and other problems?
Having undersized VMs in a virtualization system is a classic example of improper resource allocation that leads to concrete performance...
What are some of the values of real-time hybrid cloud monitoring?
Real-time monitoring of hybrid cloud systems enables businesses to do more with the software architectures they use to support operations....
How do you mitigate wireless interference sources in an enterprise network?
It's a common problem – networks get a lot of pressure from the flood of wireless data that's floating around in any given local area. From...
What performance issues do users face due to wireless interference problems in an enterprise setting?
Wireless and radio interference problems can be a significant source of problems and frustrations for those administrating an enterprise...
What kinds of devices can interfere with wireless signals?
The reality is that many different kinds of common household items and other types of devices can interfere with a given wireless signal or...
What are some basic ideas for optimizing hybrid cloud?
With so many cloud options at their disposal, many companies are now opting to choose a hybrid cloud approach that merges public and...
How can companies deal with “dynamic unpredictability?”
In many corporate IT situations, this is the million-dollar question – how to handle the dynamic unpredictability that comes from putting...
Why might a company assess right-sizing on-premises versus in the cloud?
IT professionals hear a lot about right-sizing systems on cloud platforms, but many companies are still choosing to utilize on-premises...
Why do some companies choose Azure or AWS over open-source technologies like OpenStack?
To some companies, the open-source OpenStack platform for the cloud offers significant savings and other benefits. But other firms are more...
What are some advantages and drawbacks of stateless applications?
In the fundamental design of user interfaces, engineers can choose from stateless or stateful systems. A stateless system is one that has...
Why is it important to look at the "full stack" in virtualization?
In hardware virtualization systems, it's important to understand the entire context of the environment that virtual machines and other...
How do companies develop a "data center BMI"?
Modern companies can assess their data center and virtualization operations in many different ways. Many of the most popular models involve...
How does automation help individual system operators?
One of the core values of enterprise automation is its ability to decrease the labor burden on individuals. Traditional system operators...
How can companies tally up cloud costs for multi-cloud or complex cloud systems?
Companies can pursue cost accounting for cloud services in different ways. Some of the most primitive approaches involve entering raw data...
Why is a good HTML5 interface important for a business project?
HTML5 is a common foundation for a business interface for various reasons. Businesses can really benefit from building an interface with...
What are some values of cloud-native architecture?
Working at building cloud-native architectures can help a business to redesign and improve how it sets up and uses its IT systems. The...
Why is reserve capacity important in systems?
Many IT professionals consider it important to build reserve capacity into hardware virtualization systems. This is part of overall...
What are some common challenges in decommissioning applications?
The decommissioning of applications can be a significant burden for an enterprise, especially one that has tended to update and upgrade or...
Why do naming conventions for virtual machines help with IT organization?
In the setup of multiple virtual machines in a network virtualization environment, naming conventions are important. They help to make the...
How can companies cultivate a better approach to “object-based” network changes?
By changing the ways that IT assets are labeled and handled in architectures, companies can greatly improve the use of network “objects” to...
Why is it important to match uptime to infrastructure?
The importance of matching uptime to infrastructure has to do with how companies ensure efficiencies when they are dealing with...
How can companies work to achieve a desired state?
A desired state in IT is a term for a kind of network equilibrium – in a desired state, everything is aligned as perfectly as possible, to...
What can virtual machine use cases tell companies about systems?
There are many ways that companies can use virtual machine use cases to learn more about how virtualization components work in a virtual...
How can a manager use a workload chart?
A workload chart for virtualization systems can be a real asset to an IT manager, or anyone else with responsibilities and interests in...
How do companies work toward composable infrastructure?
Many businesses are finding their own ways toward the principle of composable infrastructure. Some start small with their own automation...
What's the difference between augmented reality and virtual reality?
In some ways, virtual reality and augmented reality are a lot alike. However, they are not the same thing.Virtual reality generally refers...
What are some things that rightsizing virtual environments can do for a business?
The practice of rightsizing virtual machines and components of your virtual system can have a good impact on these systems. That's why it's...
What are some of the benefits of software-defined storage?
Software-defined storage (SDS) as a concept is revolutionizing the ways that businesses handle data storage. In conjunction with the...
What are some challenges with handling an architecture's storage layers?
Handling the storage component of a modern data management system can be extremely complicated and challenging. Some of the big challenges...
What are some important considerations for implementing PaaS?
Buyers have a lot to think about when trying to select a platform as a service (PaaS) vendor product. Platform as a service is the top...
What's commonly involved in site reliability engineering?
The work involved in site reliability engineering (SRE) can vary quite a bit, depending on the companies and systems being worked on. The...
Why would managers differentiate storage for I/O-intensive workloads?
The idea of differentiating storage for I/O-intensive workloads is a process that has roots in traditional IT, but it's also one that's...
How can stakeholders use the three key operations phases of autonomic hyperconvergent management?
In order to really take advantage of all of the benefits of autonomic hyperconvergent platforms, businesses should know how to move into an...
Why would managers suspend VMs when VDI instances are not in use?
The decision to suspend particular virtual machines (VMs) to meet changing virtual desktop infrastructure (VDI) needs is part of a larger...
What are some benefits of continuous real-time placement of user workloads?
Continuous real-time placement of user workloads is one part of a bigger puzzle involving how companies make sure systems can handle the...
Why do companies choose either persistent or non-persistent VDI?
Virtual desktop infrastructure (VDI) services provide companies with an alternative for setting up multiple workstations or computers. They...
How can companies use raw device mapping?
The process of raw device mapping (RDM) is used in the context of storage area networks (SANs) to help provide segmentation and order for...
Why might someone use an N+1 approach for a cluster?
N+1 or N+1 redundancy is a popular concept in network virtualization and the design of IT architectures. Companies generally use this...
What's the utility of a cluster capacity dashboard?
A cluster capacity dashboard brings transparency to the question of how virtualization environments are set up, and reveals details about...
Why would companies assess quality of service for VMs?
Generally, companies use quality of service (QoS) tools or address quality of service concerns for virtual machines and virtualization...
How do companies battle application sprawl?
Most companies require specific and deliberate strategies and approaches for dealing with application sprawl, a problem that occurs when...
How do engineers use availability zones in cloud and networking admin?
The Amazon Web Services or AWS public cloud system uses a concept called “availability zones” to offer client companies redundancy and...
Why do companies consider platform diversity to be important for cloud systems?
There are various reasons why companies strive for multi-cloud systems or platform diversity in the cloud. Generally speaking, having...
What strategies are companies using to mitigate DDoS attacks?
Distributed denial of service or DDoS attacks are a major threat to today’s businesses.These types of cyberattacks have the ability...
How do companies balance security, cost, scalability and data access for cloud services?
When it comes to cloud procurement, companies have to look carefully at what each individual vendor offers. They have to weigh aspects such...
What are some challenges of scaling in OpenStack?
As a popular open-source choice for deployments, OpenStack does have some concerns for business leaders who are intending to scale a cloud...
Why would companies invest in decision automation?
Businesses may invest in decision automation for any number of reasons. However, there are some overarching fundamental principles that...
What are some benefits of workload abstraction?
The benefits of workload abstraction in an IT environment have much to do with taking a more sophisticated look at computing systems and...
What are some concerns companies might have with a "lift and shift" cloud approach?
The process of “lift and shift” for some set of workloads or data environment is commonly defined as a project that simply seeks to “lift”...
What is involved in choosing the right EC2 instances for AWS?
Amazon Web Services (AWS) is one of the most popular ways for companies to get involved in a cloud, hardware virtualization and/or...
How do companies use Kubernetes?
Businesses and other stakeholders use Kubernetes to build a container environment for applications, and to manage and deploy container...
What methods do companies use to improve app performance in cloud models?
Although there are many ways to improve app performance in the cloud, companies generally try to identify network performance issues and...
What are some benefits of self-driving data centers?
A move toward “self-driving data centers” has evident benefits for companies, and it’s something that many experts are calling an...
What are some advantages of multi-cloud deployments?
Multi-cloud deployments involve a company selecting more than one cloud vendor or provider, and putting different workloads into each...
How do businesses use virtualization health charts?
Businesses can use virtualization health charts to keep on top of how virtual machines, hosts and other elements of a virtualization...
Will converged, hyper-converged and super-converged systems lead to the demise of stand-alone servers?
Converged and now hyper-converged and super-converged systems are emerging significantly as a new framework for business IT architectures...
What are some of the factors that prevent companies from fully adopting the cloud?
Current research indicates that many companies are moving toward cloud vendor services. However, this sea change is not universal, and...
What are the compliance limitations of public cloud?
In general, the compliance limitations of public cloud have to do with the extent to which public cloud systems can keep private client...
What is tunneling as it applies to a virtual network?
Tunneling into a virtual network or private network refers to the process of using a public network to transmit data for use in the private...
How do containers differ from virtual machines?
Containers and virtual machines are both parts of virtualization systems, where hardware environments are abstracted into a series of...
What is the difference between deploying containers inside a VM vs directly on bare metal?
In using relatively new container virtualization technologies, companies and engineers have a choice: whether to install the container...
How is a private cloud platform different from a public cloud platform?
A private cloud platform is a cloud platform that is offered to one customer, and one customer only. By contrast, public cloud platforms...
What are some of the biggest challenges with legacy migration?
The challenges of legacy migration projects are many and diverse. They depend on the scope of the migration process, for example, whether...
How do firms collect data "at the edge" of a network?
Businesses may use “edge data collection” methods to capture different kinds of information for business intelligence or other operational...
How do professionals use visual query building tools?
Visual query builders, or visual query building tools, are used to generate and inspect SQL queries in database operations. As a...
Why should managers guard against database redundancy?
Database managers and other IT professionals should guard against “database redundancy” or “data redundancy” because of all of the negative...
What does a central DBMS interface do?
A central DBMS interface provides user-friendly and structured access to the data contents of a database, or of multiple databases. The...
What are the biggest uses of SQL today?
Essentially, Structured Query Language (SQL) is used to retrieve data or otherwise interface with a relational database. As a standard...
How do companies create a server inventory?
Companies create server inventories to better manage their IT assets, and to keep tabs on server and system performance. They may build a...
What problems do query plan monitoring techniques fix?
Query plan monitoring techniques fix problems with high wait times, bottlenecks and general blockages in a database management system....
What is the difference between C and C++?
The biggest fundamental difference between the C computer language first released in 1972, and the C++ programming language released in...
How did people interact with computers before monitors were commonplace?
Before the advent of modern color monitors and displays, earlier computers communicated to humans through a set of more mechanical and less...
What is the difference between alpha testing and beta testing?
In IT, alpha testing is commonly defined as a form of internal testing that happens while a product is still being developed, albeit at the...
What is a virtual local area network (VLAN) and why would I use one?
A virtual local area network (VLAN) is an abstracted or “virtual” LAN. A local area network or LAN is a hardware setup establishing a...
What is the difference between a composite key, primary key and foreign key?
A primary key is defined as a key or database column which uniquely identifies each row in a database table. A composite key is a set of...
What is the appeal of NoSQL databases and what pushes companies to move toward implementing them?
There are many reasons why companies might want to make a move to a NoSQL database and away from traditional relational database systems....
What does partitioning mean in regards to a database?
Partitioning a database means taking various parts of the data stored in the database and separating them into various partitions, or...
What is the difference between a NoSQL database and a traditional database management system?
A NoSQL database is a database that doesn't use traditional relational database methods. NoSQL databases have different approaches to the...
What is server sprawl and what can I do about it?
Server sprawl is the inefficient or improper provisioning of servers to handle workloads. Server sprawl happens when underutilized servers...
What does a data management platform do?
The core function of a data management platform is to take in information from diverse sources and present it well. A data management...
What are some important aspects of file integrity monitoring?
With file integrity monitoring, IT professionals compare different versions of files against a baseline using tools like a "checksum" or...
How is SIEM different from general event log management and monitoring?
In some ways, security information and event management (SIEM) is different than the normal, average event log management that businesses...
What’s the difference between SEM, SIM and SIEM?
As three very similar yet distinct types of processes, the three acronyms SEM, SIM and SIEM tend to get confused, or cause confusion for...
Why do systems benefit from event log monitoring?
In general, network systems benefit from event log monitoring because these resources and tools help to show administrators more about...
How do admins use server monitoring to evaluate network performance?
There are many ways that administrators monitoring servers help with overall system performance, but many of them boil down to some...
What is involved in active directory monitoring?
Active directory monitoring involves looking at the active directory service created by Microsoft for use in Windows networks. Part of...
What resources are available for Sharepoint monitoring, Exchange monitoring and analysis of other Microsoft products?
The specific types of resources available for Microsoft tools like Sharepoint and Exchange are different for each piece of software that...
What's the difference between SharePoint monitoring and server monitoring?
SharePoint monitoring and server monitoring are two different types of monitoring and analysis for network activities. Although they may...
How do administrators use a NetFlow collector?
A NetFlow collector is a specific part of NetFlow operations that enables administrators to collect IP network traffic, and see where...
How do administrators find bandwidth hogs?
Administrators identify bandwidth hogs through close analysis of a network, looking for IP addresses, devices or applications that may be...
How is bandwidth monitoring different from other types of network monitoring?
Bandwidth monitoring plays a special role in overall network administration. Using bandwidth monitoring tools, administrators assess issues...
How does LAN monitoring differ from larger network monitoring?
In many ways, monitoring a local area network (LAN) is somewhat like monitoring a larger network. Some of the same techniques may be used,...
What do network admins accomplish with a bandwidth analyzer or bandwidth monitor?
Bandwidth analyzers and monitors allow network administrators to identify and fix network performance issues, looking at response time and...
How does network scanning work?
In a general sense, network administrators use network scanning to identify active hosts on a network by evaluating IP addresses and more....
How is network mapping different than network monitoring?
Network mapping and network monitoring achieve two different goals, sometimes using similar techniques.Network mapping essentially...
What are the most common network topologies?
Although there are many ways to configure network components, a few of them have emerged as the most common and standard network...
How are a network analyzer and a network scanner different?
Network analyzers and network scanners may accomplish similar things in network administration, but they work differently. A network...
What is the difference between a network switch and a network router?
A network switch moves data between two network devices, while a router generally routes data between two connected networks. The router...
What is the difference between DRS and SDRS?
VMWare Distributed Resource Scheduler and VMWare Storage Distributed Resource Scheduler are two similar and related technologies that...
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