Trending November 2023 # It Management: It’s Organic, Not Digital # Suggested December 2023 # Top 20 Popular

You are reading the article It Management: It’s Organic, Not Digital updated in November 2023 on the website We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested December 2023 It Management: It’s Organic, Not Digital

If you’re new to technology management, much of what appears in this column will strike you as opinionated, cynical and arrogant. But if you’ve been at IT for a while now, you’ll see the contents as accumulated wisdom.

The assumption here is that the business technology relationship can be widened and deepened to yield significant business value. But there are organic landmines everywhere. Many of the explosions that result are self-inflicted, almost deliberate, since we seem almost incapable of fixing the same old problems with people, processes, organizations and corporate cultures – not technology – which by and large works well.

Technology management is challenging. IT is a moving target – at best. The technologies themselves keep changing and the role we expect them to play keeps evolving. The nuances of managing in such a fluid environment are multi-dimensional: it’s about the biases of management, vendor manipulation and ambiguous project requirements – and lots more insidious, nefarious realities.

We seem to take two steps forward and one backward year after year, project after project, and now there’s unprecedented budget pressure to reduce costs, reduce costs and, in addition, reduce costs. I’m personally frustrated by our inability to routinely integrate acquisition, deployment and support best practices into our technology management routines.

How many toes must one shoot off before it’s impossible to walk?

But I also realize – after decades in this business – that, by and large, cost-effective technology management is much more about people, personal relationships, organizational processes and structures, and corporate culture than it is about “technology” or management “best practices.”

In fact, I would argue that technology and the processes we use to optimize IT are really pretty meaningless unless you’re surrounded by the right people allowed to do the right things. Put another way, IT doesn’t work if you’re surrounded by bad people and stupid processes immersed in a deranged corporate culture.

Everyone knows this. We just choose – because we’re bad, stupid and deranged – not to talk about it. We prefer talking about servers, desktops, operating systems, BI, CRM, ERP and anything else that distracts us from what really moves technology management: the human factor.

The digital stuff is easy; the organic stuff is hard.

We must acknowledge the huge impact that corporate cultures and the knowledge, skills, personalities and experience of the senior management team (SMT) have on how well or badly we do IT.

We all know that the talent, ethics and motivation of SMTs varies widely from company to company: we hate telling undergraduates that many CEOs are idiots and that they got their positions not because of their performance but because of their personal relationships, because of who they knew, not what they know or did. But you already knew this.

Our success is tied to the quality and integrity of our people, their personalities and organizational politics, among other reporting, governance and power realities. The 21st century is sending clear messages about how to acquire, deploy and support technology through new organizational structures and processes.

Total control will yield to shared control. Standardization will be situational. Operational technology will divorce from strategic technology. You need to prepare for these changes and, if your leadership and culture permit (or is manipulatable), lead your companies’ organizational change initiatives.

It’s really simple: change or fail. But “changing” or “failing” is clearly determined by how bad your people are, how stupid your organizational processes are, and how deranged your corporate culture really is. Time for a reality check.

All of this is about transformation and success. Our most successful clients have mastered the soft art of people/process/organization/culture manipulation and exploitation – while buying, deploying and supporting the right technology.

But they’ve long since accepted the overall human factor as the major driver of success. Everyone can improve technology’s ability to save money and make money for the business if they acknowledge the major role that people, processes, organizations and culture play in the process. We have seen tremendous success with companies that focus more on these variables than on technology itself.

You should already be angry enough and more than ready for some change. But that depends on you. If the U.S. federal government’s TARP program, the wars in Iraq and Afghanistan, the health care debacle and the cozy financial relationship between business, lobbyists and your elected officials don’t get you angry, then nothing is likely to move you.

But if you’ve had enough, then maybe you’re ready to join the ranks that have optimized their investments in business technology by focusing on organic – not digital – opportunities.

A final word. Dealing with people, processes, organizations and corporate cultures is far more difficult than configuring servers, updating desktops or tracking service level agreements. People, processes, organizations and cultures are the elephants in the room. If you focus more on them rather than on the technology itself, you can dramatically improve service and agility.

If you fail to go organic you will fight one war after another and never have a calm day at the office. Sophisticated executives and managers know this. The determined ones get IT done – regardless of how many good ‘ol boys (and gals) they offend.

You're reading It Management: It’s Organic, Not Digital

Valorant Not Updating: 5 Methods To Fix It If It’s Stuck

Valorant not Updating: 5 Methods to Fix it if it’s Stuck Allowing Valorant through your Firewall is often the fastest fix








Valorant not updating or stuck Valorant update can render the game inaccessible for the user.

Running Valorant as Administrator is one effective way to force Valorant to update and gain access to your game again.

Some minor bugs and unstable internet connections can cause this update issue in Valorant.




To fix various gaming problems, we recommend using Fortect:

This software will repair common computer errors that usually cause issues during gaming sessions, such as damaged or corrupt DLLs, system files that need to run along with the game components but fail to respond, and common broken registry values. Maintain an error-free gaming experience in 3 easy steps:

Download and install Fortect.

Launch the app to start the scan process.

Fortect has been downloaded by


readers this month.

Have you encountered difficulty that causes Valorant not to be updating? While this can be annoying, it is a rampant issue within the community of gamers.

Although Valorant remains one of the most used gaming platforms, thousands of users complain about this error and other daily issues.

The update issues might reflect in different ways, such as downloading speed stuck at 0.1kb/s, Valorant not downloading, etc. Although other, they all have similar root causes.

Hence, we have come up with some of the most effective troubleshooting fixes to solve this problem forcefully and ensure you gain access to your game again.

Why is Valorant not updating?

While there may be diverse reasons that may trigger this problem, from user feedback, we narrow it down to these few principal elements:

Minor bugs – Troubleshooting and routing checks will be very handy in this case.

Internet connection – From user experience, we gather that when you use a poor or unstable internet connection, you may experience update issues.

Windows update – Some users also identified an outdated OS as a possible cause for update issues on Valorant. Outdated GPUs also fall within this category.

Riot Vanguard – Some issues with the Riot Vanguard may make updates on Valorant impossible.

Let us now cover some of the most effective solutions that will work regardless of the triggers.

What can I do if Valorant isn’t updating?

Before you go into any of these complex solutions, we recommend that you try the following:

Restart the computer – A reboot allows some processes to properly shutdown and works properly again.

Use a different profile – Using a different user profile on your Windows computer can also help. For example, you can change the user to a guest, update Valorant through that user and see if it works.

Change internet connection – Connecting to a steady and good network will eliminate the doubts arising from faulty internet connections.

2. Allow Valorant through Firewall

Expert tip:

These three significant ways force Valorant to update and relaunch your game. However, here are some other fixes you can try if none of them work.

Some users claim that these are the fixes that worked best for them. Hence, you can try them out, also.

3. Repair Valorant game files

Some game files might be corrupt or even deleted. So, you should run a diagnostic scan to know where and what to repair.

4. Allow Valorant to run administrator

Enabling the administrator privilege for your game can help it function better. This usually gives the game the power to overwrite permissions that could have affected its performance. So, this should solve the Valorant not downloading or getting stuck at 0.1kb/s.

5. Uninstall and reinstall Valorant

Uninstalling your game might delete your saved progress and information if not backed up. Therefore, it should be the last option you should try on this list. This will automatically fix the Valorant update issues and any other issues affecting it.

In a nutshell, Valorant is not updating, or several conditions can cause a stuck Valorant update. The above fixes are available to see which one works perfectly for you.

Was this page helpful?


Start a conversation

Semantic Search: How It Works & Who It’s For

For simple user queries, a search engine can reliably find the correct content using keyword matching alone.

A “red toaster” query pulls up all of the products with “toaster” in the title or description, and red in the color attribute.

Add synonyms like maroon for red, and you can match even more toasters.

But things start to become more difficult quickly: You have to add these synonyms yourself, and your search will also bring up toaster ovens.

This is where semantic search comes in.

Semantic search attempts to apply user intent and the meaning (or semantics) of words and phrases to find the right content.

It goes beyond keyword matching by using information that might not be present immediately in the text (the keywords themselves) but is closely tied to what the searcher wants.

For example, finding a sweater with the query “sweater” or even “sweeter” is no problem for keyword search, while the queries “warm clothing” or “how can I keep my body warm in the winter?” are better served by semantic search.

As you can imagine, attempting to go beyond the surface-level information embedded in the text is a complex endeavor.

It has been attempted by many and incorporates a lot of different components.

Additionally, as with anything that shows great promise, semantic search is a term that is sometimes used for search that doesn’t truly live up to the name.

What Are The Elements Of Semantic Search?

Semantic search applies user intent, context, and conceptual meanings to match a user query to the corresponding content.

These components work together to retrieve and rank results based on meaning.

One of the most fundamental pieces is that of context.


The context in which a search happens is important for understanding what a searcher is trying to find.

Context can be as simple as the locale (an American searching for “football” wants something different compared to a Brit searching the same thing) or much more complex.

An intelligent search engine will use the context on both a personal level and a group level.

The personal level influencing of results is called, appropriately enough, personalization.

Personalization will use that individual searcher’s affinities, previous searches, and previous interactions to return the content that is best suited to the current query.

It is applicable to all kinds of searching, but semantic search can go even further.

Again, this displays how semantic search can bring in intelligence to search, in this case, intelligence via user behavior.

Semantic search can also leverage the context within the text.

We’ve already discussed that synonyms are useful in all kinds of search, and can improve keyword search by expanding the matches for queries to related content.

But we know as well that synonyms are not universal – sometimes two words are equivalent in one context, and not in another.

When someone searches for “football players”, what are the right results?

The answer will be different in Kent, Ohio than in Kent, United Kingdom.

A query like “tampa bay football players”, however, probably doesn’t need to know where the searcher is located.

Adding a blanket synonym that made football and soccer equivalent would have led to a poor experience when that searcher saw the Tampa Bay Rowdies soccer club next to Ron Gronkowski.

(Of course, if we know that the searcher would have preferred to see the Tampa Bay Rowdies, the search engine can take that into account!)

This is an example of query understanding via semantic search.

User Intent

The ultimate goal of any search engine is to help the user be successful in completing a task.

That task might be to read news articles, buy clothing, or find a document.

The search engine needs to figure out what the user wants to do, or what the user intent is.

We can see this when searching on an ecommerce website.

As the user types the query “jordans”, the search automatically filters on the category, “Shoes.”

This anticipates that the user intent is to find shoes, and not jordan almonds (which would be in the “Food & Snacks” category).

By getting ahead of the user intent, the search engine can return the most relevant results, and not distract the user with items that match textually, but not relevantly.

This can be all the more relevant when applying a sort on top of the search, like price from lowest to highest.

This is an example of query categorization.

Categorizing the query and limiting the results set will ensure that only relevant results appear.

Difference Between Keyword And Semantic Search

We have already seen ways in which semantic search is intelligent, but it’s worth looking more at how it is different from keyword search.

While keyword search engines also bring in natural language processing to improve this word-to-word matching – through methods such as using synonyms, removing stop words, ignoring plurals – that processing still relies on matching words to words.

But semantic search can return results where there is no matching text, but anyone with knowledge of the domain can see that there are plainly good matches.

This ties into the big difference between keyword search and semantic search, which is how matching between query and records occurs.

To simplify things some, keyword search occurs by matching on text.

“Soap” will always match “soap” or “soapy ”, because of the overlap in textual quality.

More specifically, there are enough matching letters (or characters) to tell the engine that a user searching for one will want the other.

That same matching will also tell the engine that the query soap is a more likely match for the word “soup” than the word “detergent.”

That is unless the owner of the search engine has told the engine ahead of time that soap and detergent are equivalents, in which case the search engine will “pretend” that detergent is actually soap when it is determining similarity.

Keyword-based search engines can also use tools like synonyms, alternatives, or query word removal – all types of query expansion and relaxation – to help with this information retrieval task.

NLP and NLU tools like typo tolerance, tokenization, and normalization also work to improve retrieval.

While these all help to provide improved results, they can fall short with more intelligent matching, and matching on concepts.

Semantic Search Matches On Concepts

Because semantic search is matching on concepts, the search engine can no longer determine whether records are relevant based on how many characters two words share.

Again, think about “soap” versus “soup” versus “detergent.”

Or more complex queries, like “laundry cleaner”, “remove stains clothing”, or “how do I get grass stains out of denim?”

You can even include things like image searching!

A real-world analogy of this would be a customer asking an employee where a “toilet unclogged” is located.

An employee with only a pure keyword-esque understanding of the request would fail it unless the store explicitly refers to their plungers, drain cleaners, and toilet augers as “toilet uncloggers.”

But, we would hope, the employee is wise enough to make the connection between the various terms and direct the customer to the right aisle.

(Perhaps the employee knows the different terms, or synonyms, a customer can use for any given product).

A succinct way of summarizing what semantic search does is to say that semantic search brings increased intelligence to match on concepts more than words, through the use of vector search.

With this intelligence, semantic search can perform in a more human-like manner, like a searcher finding dresses and suits when searching fancy, with not a jean in sight.

What Is Semantic Search Not?

By now, semantic search should be clear as a powerful method for improving search quality.

As such, you should not be surprised to learn that the meaning of semantic search has been applied more and more broadly.

Often, these search experiences don’t always warrant the name.

And while there is no official definition of semantic search, we can say that it is search that goes beyond traditional keyword-based search.

It does this by incorporating real-world knowledge to derive user intent based on the meaning of queries and content.

It’s true, tokenization does require some real-world knowledge about language construction, and synonyms apply understanding of conceptual matches.

However, they lack, in most cases, an artificial intelligence that is required for search to rise to the level of semantic.

Powered By Vector Search

It is this last bit that makes semantic search both powerful and difficult.

Generally, with the term semantic search, there is an implicit understanding that there is some level of machine learning involved.

Almost as often, this also involves vector search.

Vector search works by encoding details about an item into vectors and then comparing vectors to determine which are most similar.

Again, even a simple example can help.

Take two phrases: “Toyota Prius” and “steak.”

And now let’s compare those to “hybrid.”

Which of the first two are more similar?

Neither would match textually, but you probably would say that “Toyota Prius” is the more similar of the two.

You can say this because you know that a “Prius” is a type of hybrid vehicle because you have seen “Toyota Prius” in a similar context as the word hybrid, such as “Toyota Prius is a hybrid worth considering,” or “hybrid vehicles like the Toyota Prius.”

You’re pretty sure, however, you’ve never seen “steak” and ”hybrid” in such close quarters.

Plotting Vectors To Find Similarity

This is generally how vector search works as well.

A machine learning model takes thousands or millions of examples from the web, books, or other sources and uses this information to then make predictions.

Of course, it is not feasible for the model to go through comparisons one-by-one ( “Are Toyota Prius and hybrid seen together often? How about hybrid and steak?”) and so what happens instead is that the models will encode patterns that it notices about the different phrases.

It’s similar to how you might look at a phrase and say, “this one is positive” or “that one includes a color.”

Except in machine learning the language model doesn’t work so transparently (which is also why language models can be difficult to debug).

These encodings are stored in a vector or a long list of numeric values.

Then, vector search uses math to calculate how similar different vectors are.

Another way to think about the similarity measurements that vector search does is to imagine the vectors plotted out.

This is mind-blowingly difficult if you try to think of a vector plotted into hundreds of dimensions.

If you instead imagine a vector plotted into three dimensions, the principle is the same.

These vectors form a line when plotted, and the question is: which of these lines are closest to each other?

The lines for “steak” and “beef” will be closer than the lines for “steak” and “car” , and so are more similar.

This principle is called a vector, or cosine, similarity.

Vector similarity has a lot of applications.

It can make recommendations based on the previously purchased products, find the most similar image, and can determine which items best match semantically when compared to a user’s query.


Semantic search is a powerful tool for search applications that have come to the forefront with the rise of powerful deep learning models and the hardware to support them.

While we’ve touched on a number of different common applications here, there are even more that use vector search and AI.

Even image search or extracting metadata from images can fall under semantic search.

We’re in exciting times!

And, yet, its application is still early and its known powerfulness can lend itself to a misappropriation of the term.

There are many components in a semantic search pipeline, and getting each one correct is important.

When done correctly, semantic search will use real-world knowledge, especially through machine learning and vector similarity, to match a user query to the corresponding content.

More resources:

Featured Image: magic pictures/Shutterstock

3 Ways To Fix Maxthon’s Adblocker When It’s Not Working




Struggling with various browser issues? Try a better option: Opera One

You deserve a better browser! Over 300 million people use Opera One daily, a fully-fledged navigation experience coming with various built-in packages, enhanced resource consumption, and great design.

Here’s what Opera One can do:

Optimize resource usage: Opera One uses your Ram more efficiently than Brave

AI and User Friendly: New feature directly accessible from the sidebar

Gaming friendly: Opera GX is the first and best browser for gamers

⇒ Get Opera One

While a simple restart of the Maxthon browser could do the trick for some users, for others, this could not be the case.

This is where this guide comes into the picture. Here, we will explain to you 3 solutions that will help you fix the Maxthon browser adblocker not working issue. Let us get right into it.

Why is my Adblock not working?

There can be different reasons for software or extension to not work properly or malfunction. After some research, we found the below to be the most common causes for Maxthon browser Adblock not working issue:

The Maxthon browser isn’t up to date

Due to the presence of a corrupt cache or data

Another extension is conflicting with the adblocker

You have turned the adblocker off

The adblocker isn’t updated

Mostly, the Maxthon browser adblocker not working issue is caused by general reasons. Let us check out the 3 effective solutions that will help you resolve the problem.

What is the best adblocker for my browser?

AdBlock Plus is one of the best adblockers that is used widely across web browsers by people because of its efficient adblocking features.

You can find below several solutions that will help you use the adblocker again.

Quick Tip:

Use a browser with an integrated adblocker option. We recommend Opera because it’s light and has a very low error rate.


Improve your online experience with built adblock and other modern features!

Free Visit website

How do I fix my Adblock in Maxthon? 1. Re-install Adblocker

Often, due to problematic installation, you will come across several issues with programs installed on your browser. Reinstall it and check if it fixes the issue or not.

2. Clear cache and data

Corrupt cache and data files not only prevent the browser from smooth functioning but also conflict with the in-browser apps and impact their functionalities.

If you have not cleared the cache files or data files for quite some time in your Maxthon browser, then you should clear it and give it a breather and check if this fixes the Maxthon adblocker not working issue.

Adblockers such as AdBlock Plus let you update the filter lists with a simple tap of a button. One of the best solutions to make the blocker work back would be to simply manually update the filter list and check if this fixes the issue or not.

4. Remove other adblockers (Bonus tip)

If you have installed multiple adblockers on your browser, then there is a high chance that either of the adblockers will malfunction and not work properly.

There you have it from us in this guide. If you are still experiencing issues with Maxthon browser, then we would suggest you check out guide on the best browsers that you can install on your PC, and switch over to a new browser.

Still experiencing issues?

Was this page helpful?


Start a conversation

Securing Networks In The Digital Era: Strategies For Effective Risk Management

Ensuring network security is essential for any company, regardless of the industry. The constant technological innovations, data exchange, and interconnectivity of information systems have raised the risks of cyberattacks. The majority of businesses have already suffered many threats and will continue to be targeted as the number of attacks increases, with an estimation that cybercrime costs will see an increase of 15%, reaching $10.5 trillion by 2025.  

It doesn’t matter if your company is large or small, network risk management is one of the most important things you can do to take control of your networks and the data shared between users in them, while also lowering the danger of cyberattacks.

Network risk management is an evaluation of the networks that your company and employees use on a daily basis. So, organizing a thorough risk management network evaluation is the key to finding, assessing, and responding to cybersecurity threats in your company. By combining and weighing numerous signals from a user, network, device, and other sources, risk management enables your company to make wiser decisions when it comes to authenticating the users. Once you’ve recognized and identified these risks, you can start organizing your data based on the weight of the risk connected with it.

In this article, you will find five strategies for performing effective risk management. 

Conduct a regular risk management

Regular risk management will help you in revealing potential vulnerabilities in your company’s security policies. Performing a regular and detailed risk assessment will give you information on the assets that need to be secured as well as the security procedures that are currently in place. 

Additionally, it can assist your company’s IT security team in identifying areas of vulnerability that they should check, and prioritize which weaknesses to address first. Security ratings are an excellent approach to acquiring a real-time understanding of your company’s cybersecurity position, as well as that of third and fourth-party vendors.

Hunt for threats 

Threat hunting is a crucial stage in network risk management. This enables teams to manage attacks proactively before the threat comes into contact with their system. To carry out this hunt, teams rely on threat information to identify goals and attack methods.

With this information, they can launch block attacks to prevent hackers from infiltrating their systems. Threat hunting enables security teams to obtain a better understanding of prospective threat actors’ motivations and plans. It provides businesses with leverage and reduces the potential impact that attacks can have on them. It is a proactive strategy to better understand the threats lurking on the web.

Set up network access controls

Following an assessment of your assets and the identification of high-priority problem areas, the next step is to implement network access controls to assist in limiting the risk of insider attacks. Many businesses turn to security systems that evaluate trust and user access credentials based on each person’s individual job function. This reduces the likelihood and severity of threats or attacks caused by employee negligence or a simple lack of awareness of cybersecurity best practices. 

Implement quality firewalls and antivirus software

Installation of security solutions such as firewalls and antivirus software is another step towards performing a successful risk management strategy. Such technical precautions add an extra level of safety to your computer or network. Firewalls represent a barrier between the outside world and your network. Installing a firewall will give your company more control over incoming and outgoing traffic. Similarly, the antivirus program checks your device and network for potentially harmful viruses.

Create an incident response plan

Ensuring that everyone, including the IT security team and non-technical personnel, understands their roles in the case of a data breach or attack can make it easier to have resources ready to deploy. An incident response strategy is one of the most important components of minimizing cyber risk in your organization’s developing network environments. 

Threats can come from everywhere, and their sophistication is increasing all the time, making it almost impossible to totally avoid data breaches. An incident response plan assists your business in doing everything necessary to remain proactively prepared so that your team can respond swiftly and efficiently to any issues.

Final thoughts

Nowadays, managing risk throughout the company is more difficult than ever. Present-day security settings evolve frequently, and companies are confronted with an influx of third-party suppliers, cutting-edge technology, and an endless maze of regulations. 

5 Ways To Fix Your Surface Pen When It’s Not Erasing

5 Ways to Fix Your Surface Pen when It’s Not Erasing Our simple solutions will help fix Surface Pen in no time




Factors such as outdated drivers can cause the Surface Pen not to work.

Physical damage to the pen can result in functional problems, so consider this cause as well when applying our fixes.

Running the Bluetooth troubleshooter has been confirmed to often work, so take a closer look at the procedure.



Try Outbyte Driver Updater to resolve driver issues entirely:

This software will simplify the process by both searching and updating your drivers to prevent various malfunctions and enhance your PC stability. Check all your drivers now in 3 easy steps:

Download Outbyte Driver Updater.

Launch it on your PC to find all the problematic drivers.

OutByte Driver Updater has been downloaded by


readers this month.

Surface Pen not erasing – that’s a problem users complain about while using the device. It makes it impossible to clean or erase things while using the device.

Likewise, some users report that their Surface Pen is not writing, but the button is working, making it tiring to use.

Why is my Surface Pen eraser not working?

Many factors can impede the Surface Pen’s performance, resulting in issues like the Surface pen not working but connected. Some notable ones are:

Corrupt or broken Surface Pen driver: The Surface Pen can run into issues if its driver is not intact. It affects the components dependent on it, causing them not to work as they should.

Issues with the pen pairing: For the Surface Pen to function correctly, you require a smooth pairing between the Surface Pen and the Surface Pro device. However, irregularities in the pairing process can affect the pen’s ability to erase.

Physical issues: The Surface Pen can suffer damage from fall impact or physical contact. Hence, some functions on it may be affected.

How do I get my Surface Pen eraser to work?

Disconnect external devices connected to your device.

Take out the battery for a few seconds and put it back in to restart the pen.

Check for any physical damage, like the pen tilt that can cause it to stop working.

If the Surface Pen eraser not working error persists, then you can go ahead with the solutions below.

1. Remove and pair your pen again

Removing and pairing the pen will fix any pairing issues affecting its functionality, causing it not to erase.

2. Reinstall the pen driver

Expert tip:

3. Run the Bluetooth troubleshooter

Repeat the steps above for as many drivers as you can. It’ll help fix Surface Pen issues on your PC. Also, you can check other ways to update drivers on Windows 11.

If you want a quicker process, you can try an automated solution that will do the job for you. DriverFix is an amazing option because it scans your PC for outdated drivers and finds the latest updates from its database.

Also, make sure to read how to fix Windows Update and Security not opening on Windows 11.

These are the best ways to fix the Surface Pen if it’s not erasing. Kindly follow all the steps strictly for optimal results.

Also, we have a detailed guide on fixing the Surface Pro intermittent pen accuracy issue in a few easy steps.

Still experiencing troubles? Fix them with this tool:


Some driver-related issues can be solved faster by using a tailored driver solution. If you’re still having problems with your drivers, simply install OutByte Driver Updater and get it up and running immediately. Thus, let it update all drivers and fix other PC issues in no time!

Was this page helpful?


Start a conversation

Update the detailed information about It Management: It’s Organic, Not Digital on the website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!