Any sports player or fan should be aware that data analysis has become a significant part of sports. As individuals and teams seek to gain an advantage over the opposition, analyzing data and using the results to shape your performance is one of the best ways to get ahead.
Whether you are an English Premier League soccer team, a Moneyball baseball team, a roller skater, a golfer, or a National Hockey League franchise, the collection and use of data in sports are now commonplace. According to Bloomberg, the market for sports research and data analysis net worth is expected to be around $8.4 Billion by 2026.
In this brief article, we explore the impact of data analytics on sports.
Data in Individual Sports
Data analytics are commonplace in individual sports such as roller skating and can be used in a variety of ways. For example, when going for a skate fitting, the use of the 3D skate lab gives a 3D scan of your feet and suggests the most suitable skate style for you. For example, it can recommend the most suitable roller skates for wide feet, sprinters, or roller hockey players.
In terms of performance, data techniques such as tracking learning detection and video analysis, provide roller skate coaches with tools in which they can convey suitable technical improvements to skaters.
In sports such as speed skating, knowing and learning the technical improvements required to maximize speed can be the difference between finishing in first or second place.
Helping You Win
Data is used in sports to gain an advantage over the opposition. Depending on the sport, data is used in different ways. For example, in soccer, management will use key performance indicators to review whether a prospective transfer of a player should take place. These indicators may include the player’s sprint speed or distance covered per goal.
Increasingly, soccer teams look at stats such as expected goals (Xg) as a key metric to understand underlying performance levels other than the actual scoreline. The cut-through of soccer stats is so clear that even pundits after the game are now discussing Xg as a tool to better describe the narrative of a soccer game.
When Leicester City blew everyone away to win the English Premier League in 2015-16, it was credited largely to their extensive data analytics team, who managed to use data to craft a perfectly balanced squad that implemented the manager’s style of play.
Another of the most famous pioneering examples of using data analytics to improve performance was made in the Moneyball film. Billy Beane, General Manager of the Oakland Athletics baseball team used sabermetrics to help recruit players for the team, despite having a shoestring budget. Oakland Athletics become famous in the 2002 season for a 20-game winning streak.
Driving Consumer Engagement
Data analytics don’t only impact the way individuals and teams play a sport, but also how the general public engages with the sport.
Most large-scale sports organizations have staff responsible for monitoring digital engagement and online content to boost engagement with a sporting individual or team. Using online tools such as social media, digital and communication experts use online analytics to best shape marketing campaigns.
For example, a sports team that wants to connect with millennials may use Instagram as the primary tool to roll out a marketing campaign. But if their focus was Gen Z, they may use other social media sites such as Snapchat to attract the younger audience.
Benefiting The Sport Ecosystem
The whole sporting ecosystem also gains a benefit from the increase in data analytics. For example, analytics are increasingly used to help manage crowds inside stadiums, manage congestion before and after matches, and even help sell more food and drink inside stadiums.
Many large-scale sports teams now partner with retailers, payment providers, and telecommunications firms that can provide real-time data on consumer behavior. Understanding crowd behavior in stadiums with large crowds can be particularly helpful as it can guide the messaging and communication strategy with the crowd.
Data and Equipment
Data is very popular for individual sports such as golf and tennis to help guide players to purchase certain equipment pieces.
For example, you may wish to purchase an expensive Driver to boost your golf game. Many YouTubers and golf professionals will use devices such as launch monitors to conduct product reviews on golf clubs to give you quick insights into whether certain clubs are a match for your playing style.
Launch monitors in golf are also great for assessing your performance. Real-time insights into your carry distance, club head speed, and spin revolutions can help you understand your golf game better.
Data in sports is a serious business. It can be used in a variety of different ways from understanding the strengths and weaknesses of the opposition, improving the understanding of your game, improving digital engagement of yourself or your team, helping you select the best equipment piece, and also helping with crowd management.
Nursing professionals will need to appreciate the importance of big data and know how to use it effectively. Keep reading to learn more.
The Growing Relevance of Big Data in the Nursing Profession
Healthcare technology is changing all the time. These developments creep into the hospital routine and have a direct impact not just on how nurses do their jobs, but also on how well the patients do in and out of the hospital.
It’s a big deal. So, what’s out there? And how is it impacting patients, and their eventual path to recovery? In this article, we talk about how big data technology impacts nurses and the communities they serve.
Data Processing and Implementation
Nurses and hospitals in general are using data to improve their ability to serve the community. During the height of Covid, data processing was used to anticipate surges and help hospital nurses and administrators plan out how to best use their limited resources.
It’s used now to predict other viral surges — the flu for example — and provide more general evaluations of local health. Big data is driving big changes in healthcare.
While hospitals mostly do the same things, the communities that they serve can be very different. Maybe Town X has significantly higher levels of obesity than the national averages would indicate. Data analysis allows Town X’s hospital to anticipate what sort of medical conditions these high obesity levels will produce, and plan accordingly.
Town Y, on the other hand, has a factory that produces high emissions. The data there has not only helped the hospital treat the various respiratory conditions that those emissions have produced, but it is also helping locals motion for increased sanctions on the factory.
Data is so important to modern healthcare that nurses can now specialize in it. Analytic nursing is still a relatively obscure facet of the industry. However, as data technology in healthcare continues to expand, data comprehension is a professional skill that will only grow in importance and demand.
The last twenty years of healthcare-related technological developments have given patients increased autonomy during their stays in the hospital. Being admitted can be a traumatic experience for many people, even excepting the fact that it usually means their health is bad.
Once you’re admitted, you are at the mercy of the doctors and nurses working on your floor. You can’t eat without them bringing you food. You can’t even sleep uninterrupted without getting woken up every few hours for a test or a check-in.
It has to be this way of course. If you didn’t need these things, you probably wouldn’t need to be in the hospital at all. But it can be a demoralizing experience. Good thoughts breed good outcomes, so it is important to provide patients with as much independence as possible.
Smart hospital beds make this possible. For the patient, it means they can do things like adjust their position and comfort levels without calling in a nurse. A process that used to not only mean bothering the floor staff, but also sitting in your bed for who knows how long, waiting for them to come by.
For the floor nurses, it means fewer interruptions for small tasks, so they can focus more on patient care.
An adjustable bed? That doesn’t sound terribly smart.
Well. Fair enough. The patient experiences the bed in terms of its adjustability. The increased level of autonomy and comfort that they are given. However, the adjustability features are the tip of the iceberg. The bed can also monitor patient activity and provide data on things like heart rate, or even sleep patterns — important metrics that can make a big difference in healthcare outcomes.
Remote Patient Monitoring
So while the patient is sleeping on their fancy bed, Drew is down the hall making his rounds. He’s a good nurse, but one of his most distinct limitations — often cited on his employee evaluations — is that he can’t be in two places at once.
So when he is checking in on Molly Gordon, a young woman who was recently diagnosed with type one diabetes, he has no idea that Malcolm Ingram’s heart rate just plummeted down the hall.
Until his remote monitoring technology sounds the alert. Drew, along with several other nurses respond to the call. Malcolm is saved thanks to remote monitoring technology.
Heart monitors and other wearable healthcare devices make it easier for doctors and nurses to see what their patients are doing from anywhere.
Better yet, you don’t have to be in a hospital to use wearables. Heart monitors, pacemakers, glucose monitors, and other common healthcare devices are now often infused with Bluetooth technology. Referred to as the Internet of Things (IoT) these devices communicate directly with doctors or the patient themselves to provide up-to-the-minute health updates that can be lifesaving.
Malcolm’s story could have played out just as easily at home. Heartrate plummets. His heart monitor sends out the alert. .The company could theoretically call an ambulance. Or perhaps his emergency contact — a sister living down the street — gets the message and intervenes.
There are more ways than ever to provide high-quality healthcare evaluations, and data collection remotely.
A Wearables Postscript
As a short epilogue for the wearables conversation, it’s worth remembering that you don’t need to have a pre-existing condition to get in on the wearables game. Fitness trackers are a common wearable that people all over the world use.
In fact, Malcolm’s FitBit was how he first learned that his heart rate tends to dip in his sleep. These devices provide people with important information about their sleeping habits, heart rate, and even their blood pressure. Data points they might otherwise have only gotten once a year.
Big Data is Crucial for the Nursing Profession
A growing number of nursing professionals are discovering the benefits of big data technology. The benefits of using data technology are well documented.
Data analytics technology is constantly shedding new insights into our lives. Many things are well observed through anecdotal experiences, but we have had a hard time proving them before data analytics technology became mainstream.
The value of technical MBAs and other degrees is a prime example. A growing number of experts are using data analytics technology to help illustrate the ROI that they offer.
What value does an MBA provide? How can data analytics technology help back it up?
Data Analytics Technology Proves Technical MBA Degrees Offer Huge Value
Getting a graduate degree is a big decision. It has its appeal, sure. Better pay. Career advancement. And, of course, you are also just sincerely interested in the subject matter. You may have chosen a career in healthcare or another admirable profession because you want to have a positive impact on people’s lives. You believe that getting an MBA might help you do that a little bit better.
On the other hand, you can’t really think of a bigger commitment. It’s expensive. It takes a lot of time. What is a motivated professional to do?
You might want to consider investing in a technical MBA. You might have been skeptical of the benefits in the past, but data analytics technology has helped many professionals get a better sense of the value that it offers.
Data analytics has helped companies evaluate the salaries of different professionals before and after they got their degrees. This has helped provide data-driven insights into the benefits of getting this specialized degree.
Data analytics has also helped professionals discover the unique opportunities that they can pursue with a technical MBA. They can use data mining tools to find job opportunities that are best suited for their credentials.
In this article, we take a look at how getting your MBA can positively impact your career trajectory. It will cover some of the factors that data analytics has evaluated to gauge the ROI of this degree.
Specialized MBAs in big data
You may also pursue a specialized MBA with a focus in big data or a similar field. As the linked article from Fortune shows, these degrees are in huge demand as more companies are looking for experts in business analytics.
Getting an MBA provides you with valuable career leverage. Your employer may not be interested in paying you more than they already are. However, now that you have an MBA you are a hotter commodity than you used to be. If the hospital that you work for now doesn’t want to fork over more money, there will probably be one somewhere that is more willing.
Of course, you can’t get too crazy. No one is going to double your salary overnight. But feel out the market a little bit. If there is a big demand for people with your specialty — right now there is — it can help with your negotiations.
The general rule of thumb is to start 5-10% higher than you actually expect to get. That way you can negotiate a little bit and still wind up with a number you are happy with.
Data analytics helps people with MBAs prove the value of their degree. They can use data mining to find meaningful insights on the benefits of their education, which they can bring up in their job interviews.
Networking isn’t exactly what people think it is. You don’t go to a party one day and meet Ms. HospitalOverlord. “An MBA, you say? You’ll come work for me, won’t you? How does one million dollars a year sound?”
You don’t get jobs just because you know people, but connections do help you stand out in otherwise crowded candidate pools. Graduate school is a particularly good place to meet people. Many of your fellow students will already be professionally situated. They may have firsthand knowledge about job openings. If not, they may be able to put you in contact with someone who does.
Similarly, your instructors will probably also work closely within the industry. If they are not currently involved professionally with hospitals, they will almost certainly know people who are.
These connections add up to new opportunities.
The benefits of networking are even more significant in the age of big data. People can use digital platforms like LinkedIn to establish more connections, which helps them leverage big data.
The most obvious benefit of graduate school for your career trajectory is that it equips you with new skills. Strip away everything else, and this is the real value of your degree. It’s what your employers are looking for in an MBA.
Well, ok. But I’ve been working in the industry for ten years. I learn on the job.
You do. But you do it through a lens that is at least ten years old. Most people stagnate with the same professional perspective they had when they left school. It’s not really their fault. It’s difficult to grow professionally while also trying to, you know, do your job.
Getting an MBA is a sure way to refresh your understanding of key concepts and get a new understanding of current trends. For example, people who graduated ten years ago entered a professional landscape with a much different understanding of digital technologies.
You may not have learned enough about data implementation or digital records to satisfy current expectations.
Of course, it’s a good idea to routinely update your skills, and you don’t always need to go in for a full degree to do it. There are upskilling curriculums that can be completed in weeks instead of years. They serve as an excellent way to brush up on new concepts and potentially acquire a little bit of professional momentum in the process.
But while these are handy opportunities to take advantage of from time to time, they don’t have quite the same career impact that an MBA has.
You Just Stand Out
Finally, MBAs stand out more than people without advanced degrees. If your objective is to move up the corporate ladder, you are going to need to be competitive. Though it may cynical to say it, working hard only gets you so far. Everyone at your level works hard. That’s how they got there in the first place.
If you’re neck and neck with a coworker for a promotion, having an advanced degree may be just the thing that tips you over the edge. And again, it’s not only about moving up at the hospital where you are at right now.
MBAs can open up doors all over the place. If you aren’t getting the career traction you are hoping for at your current hospital, the MBA will make it much easier to change lanes and nab a better position for yourself.
Big Data Shows the True Value of an MBA
A growing number of people are discovering the value of MBAs. Data analytics technology has helped make the case that they are even more valuable than previously thought. People with specialized MBAs may benefit even more, since big data has become so important in business.
However, there is a dark side to using big data technology. It is also increases security risks. Spoofing is more likely to be a problem for data-driven organizations.
The good news is that there are ways to mitigate these risks.
Anti-spoofing solutions and Guidelines for Data-Driven Organizations
Email is a vital communication tool for businesses, but it’s also a common target for hackers who use spoofing techniques to gain access to sensitive information. Hackers are more likely to engage in spoofing these days, because companies store more data than ever. The amount of data they store is a goldmine in the wrong hands.
Spoofing is a type of cyber attack in which an attacker sends an email that appears to come from a legitimate source, but is actually a fraudulent message designed to steal information or spread malware. This is the first step to committing a data breach.
To protect your business’s data from email spoofing, it’s important to understand the different types of spoofing and the solutions that are available to combat them. Here are five anti-spoofing solutions data-driven companies need to consider implementing in your business:
1. DNS spoofing protection
DNS spoofing is a type of attack in which an attacker redirects traffic from a legitimate domain to a fake website. To protect your business from this type of attack, you should use DNS spoofing protection software that monitors your domain’s DNS records and alerts you if any unauthorized changes are made. MTA-STS is an email authentication protocol that can prevent DNS spoofing attacks and data breaches.
DMARC is an email authentication protocol that helps protect your business from spoofed emails that are precursors to data breaches. It works by providing a mechanism for email receivers to check the authenticity of messages sent from your domain. DMARC allows you to specify which email authentication mechanisms are used on your domain, and it also provides a way for you to receive reports on any suspicious activity.
3. BIMI (Brand Indicators for Message Identification)
BIMI is a new email authentication protocol that allows you to display your company’s logo in the email client next to the email, making it easier for recipients to identify legitimate emails from your company. BIMI works by using DMARC to validate the email and then adding a verified logo to the email.
4. Sender Policy Framework (SPF)
SPF is an email authentication protocol that allows you to specify which email servers are authorized to send emails from your domain. This helps to prevent email spoofing by verifying that the email is coming from a legitimate source. By publishing an SPF record in your domain’s DNS, you can specify which email servers are authorized to send email from your domain, and email receivers can use this information to verify the authenticity of the email.
5. Certificates for Secure Email (COSE)
COSE is an email encryption standard that allows you to encrypt your emails to protect them from spoofing and other types of attacks. It uses public key encryption to encrypt the email, and the recipient can then use their private key to decrypt the email. This provides a secure way to send sensitive information and can help to protect your business from email spoofing attacks.
6. Email security software
Email security software is designed to help protect your business from various types of email attacks, including spoofing. It can help detect and block malicious emails, as well as provide other security features such as encryption and spam filtering.
Data-Driven Companies Must Thwart Spoofing Attacks
Cyberattacks are more common than ever in the age of big data. A growing number of hackers use spoofing as part of their strategy to commit data breaches.
Implementing these anti-spoofing solutions will help protect your business from email spoofing attacks, and keep your customer’s information secure. But it’s important to note that these solutions are not a one-time setup, it’s crucial to constantly monitor and update these measures to stay ahead of the constantly evolving threat of email spoofing. Keep in mind that these solutions should be used in conjunction with other security measures such as firewalls and antivirus software to provide the best possible protection for your business.
In conclusion, email spoofing is a serious threat to businesses, but with the right anti-spoofing solutions in place, you can protect your business from this type of attack. These are very important data security strategies to implement. Whether you’re using DMARC, BIMI, MTA-STS, SPF or email security software, it’s essential to stay vigilant and take the necessary steps to keep your business safe. Implementing these solutions will not only protect your business but also give your customers peace of mind that their personal information is safe with you.
AI technology is becoming increasingly important for software developers. We talked about some of the ways software developers can create successful AI applications. However it is equally important to use existing AI tools strategically to improve the quality of the software app lications that you are trying to design.
AI Technology is Driving Major Changes in Software Development in an Uncertain Economy
As 2022 is slowly coming to an end, we can’t say this is precisely what we thought the business environment would look like five years ago. The coronavirus pandemic has left its consequences, and the war between Russia and Ukraine is still raging. Cryptocurrency prices have plummeted — another clear indicator of turbulent times. A looming recession and the Great Resignation are other factors strongly impacting the landscape.
So, how can one create software with as little risk as possible?
Desperate times call for smart measures, which we’ve discussed and decided to present to you. The good news is that AI technology can make the process easier. Here are the three most important AI assets for software development.
1. Smart teams governed by AI
The chances of failing in software development are the smallest when a smart team stands behind the project. A smart team is a strong asset composed of experts who know their own role and do their best.
What makes a smart team so special that it’s vital for software development in uncertain times?
First of all, a smart team is a self-sufficient unit. A well-organized and well-led team can construct software and follow it through all stages of the software development cycle, keeping track of the results and reacting timely. With the right smart team, you’re more or less set for the entire production process.
Regarding the team member roles, you’ll probably need a good solution architect for starters. The architect will cover the gap between stakeholders and the tech part of your business, ensuring the investors and developers are on the same page. They also cover the money matters, i.e., set the budget for the software building. Needless to say, this is one of the crucial steps in the project.
While team leads are important for recognizing talent, supervision, preventing burnout, and providing support, among other things, “regular” team members are just as important too. You should always strive to set up a team of successful professionals with different cognitive backgrounds. That should ensure innovation when it comes to both creating software and resolving potential issues.
However, the organization of the team is not enough on its own. AI technology can help project managers monitor their team more effectively. They can see how their teams are interacting and whether certain members are missing deadlines or making consistent errors. As we stated in the past, AI-based employee monitoring technology can boost engagement and improve the quality of work.
In a nutshell, a smart team should lead you through all the hardships much better than unlimited access to funds.
2. Mixed reality
In times of chaos, do you really have enough funds to build test models, organize accurate product testing with clients before you start selling, or spend time and money on fixing the potential issues that may or may not occur? Mixed reality tools can save you both time and money, as well as improve your overall business and help you beat the competition.
AI technology has made virtual reality more effective than ever. When used appropriately, it can significantly improve your overall ROI. The best way to use it is by modifying it to mixed reality.
A mixed reality experience gives you a mix of virtual and physical reality. For instance, you could test your software by allowing the end consumer to try it out in mixed reality. That way, they can spot the advantages and downsides, and you can get the precious feedback sooner than later — all without wasting money on placing the product on the market and advertising it.
This reality uses AI to provide a more personal experience, so it’s great for product testing, meetings, and conferences. A hologram experience is definitely more memorable than a simple laptop presentation. In addition, it opens doors to innovation as it encourages a person to have multiple points of view. Having a new perspective on familiar topics is definitely engaging.
As technology advances, the costs of mixed reality decrease, and it’s becoming more accessible to even the typical consumer. You should definitely lead in this respect instead of falling behind.
Mind you, your competition is already using AI-driven mixed reality for training purposes, quality assessment, hiring new software engineers, and many other uses. The mixed reality market will grow at a 77% CAGR by 2028. If you haven’t introduced it to your software development team, you’d better do it soon, or you may start lagging behind your competitors.
3. Reliable cybersecurity team
What’s one of the things tough times have in common? Cyber attacks. So much so that even the US government has reacted with a warning.
The official announcement on CISA’s website clearly outlines the increased risks of cyber attacks. While Ukraine and Russia seem to be at a cyber war of their own, US businesses are also in danger of cyber incidents. CISA has officially recommended that all organizations, regardless of their size, prepare for cybersecurity breaches.
If your software is going to collect clients’ sensitive data (as it does in most cases), having a data leak scandal is the worst possible scenario in an unstable environment. At such times, people feel wary and are more prone to feeling panicky when their personal data is unveiled. As a result, your reputation may be gone for good.
Someone stealing your innovative software development information could break your business too. The environment is already as fast-paced as it is, so detrimental consequences come much faster.
With this in mind, your cybersecurity team will be your pillar of defense against a surge of malware and other digital hazards.
How do you create or improve your cybersecurity team? It’s an excellent time to get updated about the cybersecurity expert role. For instance, having a degree in cybersecurity isn’t necessary since most colleges only offer those as master’s studies. However, solid tech knowledge, experience with different tools, and good programming skills are a must.
We’re living in a constantly changing world that has transformed quite a bit in the last couple of years. Unfortunately, the major changes that affected the whole world are far from beneficial — they’ve made us think of going into survival mode rather than feeling thankful. Software development, like any other digital business, is especially submissive to economic changes. Hopefully, by focusing on the above software development advice, your software business should not just survive the troubling times but come out victorious.
AI technology is also invaluable for cybersecurity. We published an article two years ago on the ways AI is helping with cybersecurity and it has become even more important since.
AI Has Become Essential for Software Developers
A growing number of software developers are forced to utilize AI technology to improve their operations. They will need to rely on AI even more in the near future, since the economic outlook is far from positive.
Every year, we hear new stories about how artificial intelligence technology is becoming more integral to the marketing profession. In 2022, one of the biggest breakthroughs ever was the emergence of AI art.
How Can You Use AI in PPC Advertising, and Why is it Important to Do So?
AI technology is the backbone of many modern marketing strategies. As AI continues to change the marketing landscape, marketers will keep looking for new ways to automate various processes, reduce the scope of human error and lower costs.
One of the ways that marketers can benefit from AI is by using it to improve their PPC marketing campaigns. However, marketers that are not familiar with PPC should learn about the fundamentals first. We will discuss the basics of PPC in general, before delving into more detail on the benefits of utilizing AI in PPC marketing campaigns.
Basics of PPC Marketing
Every business owner knows that getting organic traffic is ideal. After all, it can mean their search engine optimization (SEO) techniques are working. However, it may not be the ideal choice for all business entities. SEO efforts can take time. If you need to gain traffic and boost your sales, doing ads can help attract audiences, gain website traffic, and convert leads.
Pay-per-click (PPC) advertising is an online marketing strategy that involves paying for ad space on search engine results pages (SERPs) and other websites. It’s a common practice for marketers to pay for keywords that lead to their website, but you can also advertise on social media platforms like Facebook or Twitter.
PPC ads are essential because they give you access to more customers than traditional forms of marketing like email or direct mail. It allows you to reach more people at lower costs per click than if you were using traditional methods.
PPC ads can be even more useful when used in conjunction with AI. Let’s get into the meat of this topic.
Best Practices for Using AI for PPC Advertising
PPC advertising is a great way to drive traffic and sales for your business. The trick is getting the most out of each PPC advertisement, which can be difficult in today’s fast-paced digital world.
Here are five best practices you should employ with AI.
1. Stay Updated on the Latest Trends in AI and Other Forms of Technology
The first thing you’ll want to do is stay up-to-date on the latest trends in the industry, especially regarding the ways that AI affects marketing. Find out what ticks your audiences.
Amazon, Google and Microsoft are all leveraging AI technology in their PPC practices. One of the ways that AI is becoming more useful with their PPC platforms is by enabling automated targeting and helping marketers reach users with relevant keywords that they didn’t think to target.
AI can also help with third-party apps that can help your PPC strategy. For example, many marketers use third-party tools like SEMRush and Keyword Chef for finding keywords. AI helps make these processes easier.
There are also important trends in mobile technology to monitor. For example, it’s worth noting that 60% of mobile users click on a PPC ad once weekly. Given this information, you can adjust your strategies based on when these users are more likely to be more welcome to ads.
You should also know what your target audience consumes at a given time. Look at trends so you can include these keywords in your ads. You can use tools to determine what and how often people are searching for these keywords.
2. Reviewing and Adjusting Budget
A budget review is one of the most overlooked aspects of running a PPC ad campaign. Audit the budget periodically and see if you’re still on track based on the outcomes of your marketing campaigns. A budget review allows you to measure the effectiveness of your strategy. Say you’re still far from your targets, and you’ve already used up your budget. This misalignment means it’s time for you to adjust your actions.
Consider your return on investment (ROI) when adjusting—factor in all potential variables. For example, look at the current market that may have influenced the effectiveness of your ads.
AI technology is also making it easier for marketers to optimize their advertising budgets. They can use AI to automate marketing strategies and track spending over time. They can also use predictive analytics to gauge changes based on seasonal patterns to predict traffic patterns and the number of clicks they will get on future months. Ahrefs, SEMRush and other PPC tools use AI for these purposes.
3. Explore Additional Platforms Using AI Capabilities
Don’t hesitate to look beyond Google AdWords. Google is a great place to start and will give you access to millions of people who have shown interest in your product or service. However, other platforms can also help boost your PPC campaign performance.
Explore social media PPC ads. In 2021, the market earned $153 billion in revenue, with Facebook getting 21.5% of the social media PPC ad market. When it comes to the business-to-business (B2B) market, it will be best to focus on LinkedIn.
You will want to do your due diligence when using these platforms because it is important to make sure that they can help you leverage AI technology wisely.
4. Automate Processes
Automation is a great way to save time and boost efficiency. This is possibly the most important benefit of using AI for PPC advertising. However, ensure that you aren’t sacrificing quality in the process. Automating repetitive tasks can help you save time and money. For example, it would be best not to automate creative decisions or the entire PPC advertising process.
Automate those that are predictable and repeatable. If there’s one thing most advertisers know how to do well, it is knowing which keywords perform well on search engines so they can optimize their ads accordingly. This knowledge lends itself nicely to automation.
5. Curate Content
You have to know your audience and the content they want. Refrain from spamming them with irrelevant or uninteresting content. Use curated lists instead of broad-topic keywords that include many unrelated products and services.
For example, contracting companies can use a specific PPC advertising campaign that brings value to their audience, such as repairs, tools, and contracting services.
When curating content for your PPC campaigns, think about what your customers search for in search engines. These searches serve as a guide when creating new ad copy so that it remains relevant.
AI technology can help with content curation. There are a lot of effective ways to leverage AI to find the best performing content, which involves monitoring user engagement. Neil Patel has a great post on using AI to write PPC copy, which is just one of the many benefits it offers.
AI Offers Huge Benefits with PPC Marketing
PPC advertising is a great way to get your message heard. It’s also the most effective form of online marketing that brings bang for your buck. You can get even more value from your PPC strategies by using AI to your advantage.
Know the latest market trends
Audit and review budget
Try other ad platforms
Make ad copy personal
AI technology can help immensely with all of these factors.
But what are the best ways to leverage artificial intelligence? One of the most important is to use AI to improve the quality of your websites. A growing number of companies are using AI to improve the user experience of their websites, boost engagement and earn higher conversion rates.
AI Has Become Crucial for Web Design as User Expectations Rise
As more businesses adopt a digital approach, having a visually appealing website is essential for success. It only takes about 2.6 seconds for the eyes to spot the key areas of the website.
However, a captivating design may not be enough with the ever-evolving consumer preference and industry standards. Your businesses must be at the forefront of innovation if you want a profitable and successful organization.
The good news is that AI technology can help significantly improve the performance of your website. A website can help you reach a larger audience, generate more leads, and drive more sales. It can help you to position yourself as a credible and professional business. You will get even more bang for your buck if it has been optimized with machine learning technology.
Additionally, it can serve as a hub for your digital marketing efforts to reach more customers and grow your business.
5 Best Ways to Use AI for Website Development
This 2023 is the perfect time to ensure you’re up to date on the latest web development trends and can get the most out of your website.
Here are five AI-based website development best practices that you should consider for a successful 2023.
1. Incorporate AI Chatbots
More and more people are aware of the increasing use of artificial intelligence, particularly chatbots. In fact, 62% of consumers will prefer using a chatbot if it means they can get answers to their queries faster.
They can be highly effective tools for businesses. More and more companies are creating chatbots to connect with their customers on a one-on-one level. It’s an effective marketing strategy for increasing personalization.
With AI chatbots, you can make your website more interactive and user-friendly. AI chatbots can answer customer questions, respond to product inquiries, send automated emails, and provide helpful information.
2. Prioritize Mobile-First Development
Data shows that 55.7% of users are on their mobile phones, accounting for 60% of the global web traffic. These numbers cement the idea that you shouldn’t ignore mobile users when developing web pages.
By prioritizing mobile-first development when creating your website, you can ensure that every element is optimized for easy and intuitive use on mobile devices. These elements include your homepage, navigation, font size, images, and everything else on your site.
You will want to use AI to make responsive design more feasible. A growing number of web development platforms incorporate responsive design modules that rely on machine learning.
3. Focus on User-Friendly Web Designs
A website’s design is a crucial part of its success. It’s what your visitors see when they first arrive at your site, and they determine whether they stay or leave.
A few key things to consider when designing your website include layout, visual elements, fonts, and colors. Also, your website design should be easy to navigate and provide clear and easy-to-read content.
A good design can make a big difference in the success of your website. It should encourage your audience to take action by purchasing your products or signing up for your services.
You’re probably familiar with Alexa, Siri, and Google Assistant. Yes, they’re no longer a hype. They are, in fact, quite common and will drive the digital market. Estimates show that voice assistant transaction values will hit $19.4 billion this year.
While internet search engine optimization (SEO) is still essential to website development, voice search optimization is becoming increasingly important. It’s a trend you shouldn’t miss out on.
Include the keywords and phrases people are likely to search for naturally throughout your website. Make sure to factor in your site’s title tags, meta descriptions, and content. This will ensure that your website shows up on the first page of results when people search for your product or service using voice.
5. Speed Up Webpage Loading
The average user arrives at a website and leaves after only 5 seconds. Ensure that your site loads fast and can provide what customers need instantly.
A website’s load time is strongly associated with its success. Keep your website optimized for speed. Use smaller image sizes.
If this isn’t possible because your site relies heavily on design, it might be best to have a dedicated server to handle the load.
Keep your customers happy. Customers will visit the site often when you deliver a speedy service and provide them with a smooth experience.
Use AI to Improve Your Website Design
Website development is an ever-evolving process and a long-term investment. AI technology has significantly improved web design capabilities. Apply these AI practices to create a successful website for your business in 2023 and beyond.
We have previously talked about data-driven SEO. However, we feel that it is time to have a more nuanced discussion about using big data in SEO. You may want to leverage data analytics to improve the SEO of your images.
Data Analytics is Key to Improving the SEO of Your Images
Images are a big part of the internet, and they can also impact how well your website does in search engine results. Like any other kind of content, images can help or hurt your SEO. This means that pictures and other types of creative content can greatly affect how well search engines rank your website.
In this article, we will talk about how images relate to SEO and how to make sure they are working for you. We will later delve into some ways that you can use data analytics to improve the SEO of your images.
What Is Image SEO?
Image SEO is optimizing the images on your website for search engines. This means making it easy for search engines to understand and find your pictures, which can help your website rank higher in Google and other search engines.
Even though it’s often overlooked, Image SEO is important. If you don’t pay attention, your website may have trouble getting links, appearing in search results, and getting visitors.
5 Ways to Use Data Analytics to Improve SEO and Conversion Rates of Images
The good news is that you can greatly improve your image SEO by using big dat. Here are a few simple tips to get started.
1. Only Use Relevant, High-Quality Images
Images are also crucial for website design since they can quickly convey information. Research shows that our brains can process images in just 13 milliseconds. This means that using high-resolution images cannot only make your website look better, but it’s crucial in helping visitors understand and decide about your products more easily.
Improve the overall look of your website by using high-resolution images. You can use image upscaler, a tool that can significantly improve the overall quality of images on a website by increasing their resolution.
It makes the images appear sharper and more vibrant to website visitors, creating a more favorable impression of your site and its content.
You can use data analytics to conduct split-tests to determine which images boost engagement. You may also find AI tools that recommend images that are best for your content.
2. Use Appropriate File Formats
Even though most internet browsers and devices can handle different image formats, it’s important to use the right ones for both usability and SEO. Using the wrong formats can make the images bigger and slow down your website.
The four main image formats for websites are JPG, PNG, GIF, and SVG. Each is best for certain situations because they provide the highest quality while keeping the image small.
JPG format is perfect for real-life photos.
PNG format is ideal for digital graphics or illustrations.
GIF format is used for animated images, such as showing a graph change over time.
SVG format is great for vector graphics. This format is best for design elements on the website, like logos.
Analytics technology will help you assess the impact that different file formats will have on website load times and performance. You may want to try using big data tools like Pingdom to test these factors.
3. Optimize Image File Sizes
Improperly sized images can greatly slow down the loading time of a webpage. Since image SEO and page speed are closely related, it’s important to compress images properly to optimize them for search engines.
According to Squarespace, the best image size for full-width background images used in banners or the main section of a website is between 1500px and 2500px.
While using large images may seem like a good idea to show off the quality, it’s unnecessary to go above 1500-2000 pixels.
4. Craft Your Alt Text for a Human Audience
Alt text is important because they give Google more information about the image. Alt text also called alternative text or alt tag, is a description added to an image using HTML. This description is displayed if the image can’t be shown.
When describing your images with alt text, it’s important to be specific but not too long. A good way to think about it is to imagine you’re explaining the image to someone over the phone.
Try to use around 125 characters or less. This is because some tools that help people who can’t see well, called screen readers, will stop reading after that many characters.
It’s also a good idea to include keywords related to the image, but be careful not to overuse them, or it will look spammy.
You can use data mining tools like Accessibilityscripts.com and SEOptimer to find the alt tags of competitors. This can help you figure out which meta data is already working well.
5. Place Your Images Near Relevant Text
Google can more easily identify the image’s content by looking at the text near it. To improve the image’s visibility, place it close to relevant text and on pages related to the image’s subject.
Also, having images near relevant text helps to improve the readability of the content, as it helps to break up long blocks of text. This makes it easier for people to read and increases the chances that they will stay on the page to read the content.
Data Analytics Technology is Important for Improving SEO
Optimizing web graphics for SEO is a great way to ensure your site is as visible as possible in search engine results. Fortunately, data analytics can help.
First impressions matter with the current online landscape, so using an image upscaler can help ensure that your website’s visuals are top-notch and world-class. This can help put your best foot forward in creating a professional and polished look for your website.
To recap, here are some image SEO strategies that use data analytics to ensure your site stands out from the crowd and generates more organic traffic:
Select images that are relevant and high-quality.
Choose file formats that are suitable for the web.
Reduce the file size of images for faster loading times.
Write alt text that accurately describes the image for accessibility.
Position images close to related text for better context and understanding.
Modern data is an increasingly overwhelming field, with new information being created and absorbed by businesses every second of the day. Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies. Of all of those tactics, storing structured data in databases is by far one of the most effective.
However, if a business doesn’t manage its databases efficiently, they become tedious to manage and unproductive to work with. That’s where database compliance comes in, ensuring that all the information you need to access is only a click away.
If you’re looking for faster, securer, and databases that readily produce the information you’re looking for, these strategies are for you. We’ll touch on the following database compliance methods:
Developer Compliance Frameworks and Education
Clearly Acknowledge the Data You Collect
Have a Breach Recovery and Management Strategy
Personal Data Should Have a Protection Strategy
Developer Compliance Frameworks and Education
As your company grows, the amount of data that you’re going to be handling will equally increase. Yet, another factor that people seem to overlook is that the number of data architects you employ will also begin to rise alongside other areas of growth. While new employees in this field are wonderful for ensuring all your data processes are up to scratch, onboarding them should have a level of precaution in it.
When onboarding a new employee, you cannot expect them to understand your company’s form of database compliance right from the beginning. While there are a number of key database compliance regulations that everyone will follow, like GDPR and privacy laws, your business may do things a little differently.
Beyond just aligning with good database practices, every business organizes and interacts with compliance differently. In your onboarding process, you should have documentation that clearly outlines how new developers are expected to interact with, respond to, and detect data events. Without this in place, your team will be scrambled whenever a breach or crisis event occurs.
Always have education in place to ensure everyone is on the same page.
Clearly Acknowledge the Data You Collect
Of course, if you don’t have any privacy notice, then all the data you collect and store in a database will cause difficulties for you in the future. It is mandatory to understand what data you collect, how you use it, where you’re storing it, and how long you keep it. Without the answers to these questions, you’re unable to craft an effective privacy notice and share it with your customers.
Have a Breach Recovery and Management Strategy
No matter how effective your database security is or how advanced the level of cybersecurity you have, there is going to be a time when you’re facing a data breach event or scare. The difference between a company that is compliant in these disaster scenarios and those that have effective response criteria in place.
Database compliance goes beyond just holding data. It also requires that customers that have data exposed in a breach are notified promptly, as decreed by the GDPR. You should spend time designing a response framework that your business will follow. There are two main areas to work on here:
Internal Response – Ensure that your data team knows what to do, which backups to draw from, and which data they must protect in the event of a crisis. You should not waste time discussing what should be done, with a pre-outlined response format that all engineers know, helping you get the upper hand during a disaster event.
External Response – You need to design a communications system that will notify everyone involved in a breach. Pick the medium of communication, the messaging you use, and the extent of information that you share with them.
With this in place, you’ll be in a much better position in the event of a data breach.
Personal Data Should Have a Protection Strategy
Our final tip for database compliance is one that’s often overlooked, but one that is vital to the long-term success of your data management. When you deal with personal or private data, you must treat it with an additional level of caution.
At the very least, you should anonymize any sensitive data that you deal with. There are a number of ways you can do this without corrupting the functionality of the data itself. For example, you could use tokenization or hashing to mask data on a surface level.
That way, if you’re ever in a data breach event, your customers are protected. Not only does that keep your business legally safe, but it also ensures that your customers will be able to put their faith in you no matter what.
Databases are a wonderful tool that allows businesses to seize the true potential of all the data they collect. Without them, it’s nearly impossible to draw meaning and insight from hoards of customer information. However, in order to use them freely, you need to make sure that your database compliance is up to scratch.
The strategies that we’ve outlined in this article will point you in the right direction, ensuring you have all the documentation and methods in place to set yourself up for success. Follow these strategies, and you’ll have everything you need to start collecting and using customer data at scale.
From there, business intelligence and insight will become a breeze.
The biggest threat to digital security is weaponized artificial intelligence (AI), which is ubiquitous and damaging. AI is neither good nor bad, but the people behind it can distinguish between AI being an asset or a threat.
Cyber-attacks have grown in frequency and sophistication and have become more difficult to detect and stop. The profitability of hacking into data systems in the black market has propelled this threat, causing security experts to lag.
Connected systems and hybrid teams working in different parts of the globe with varying levels of security make fortifying against ransomware, automated attacks, and phishing an ongoing challenge. How can digital security step up and safeguard networks to prevent data loss, manipulation, reputation damage, and plummeting revenue from unauthorized digital access?
Methods hackers use to weaponize AI and solutions
Over the years, AI has enabled a better understanding of customer behavior, changed how businesses operate and predicted cyber threats. Cybersecurity experts use AI for malware detection, malicious IP blocking, and website classification. Another way to protect against attacks, especially with a business with numerous workstations, is to ensure secure file transfer.
Secure file transfer solutions like secure file transfer protocol (SFTP), file transfer protocol secure (FTPS), and Hypertext Transfer Protocol Secure (HTTPS) provide encryption and authentication, making it difficult for hackers to gain access. Additionally, AI-powered intrusion detection systems can detect anomalous behavior, alerting security teams to suspicious activity.
A study among US and Japanese cybersecurity experts showed that 91% acknowledged the real threat that hackers can weaponize AI. They do so by doing the following:
1. Domain Name System (DNS) tunneling: Divert and steal data
When a computer wants to communicate with a remote server like Google, the query redirects to an IP address associated with Google. In an ideal world, this secure connection is faster thanks to multiple requests to Google’s DNS system and cache without breach.
However, this is far from the truth. Research shows that cyber-attacks exposed 15M data records during the last quarter of 2022. Another appalling finding is that the rate of increase was 37% over the previous quarter. On average, companies lost USD$ 3.9 M globally, and the impact was USD$ 400B.
Enterprising hackers have found a way to interrupt this pathway and divert that tunnel to another site, with the searcher unaware that they’re not accessing Google. What happens next is that the hacker’s server, now the authoritative server, can gain control of the victim’s server remotely, infecting it and its application with malware.
This compromised system is vulnerable to downloading malicious traffic, data theft, and spreading malware through file sharing within the network’s computer system. Remember that all these are undetected.
How to fortify the system against DNS tunneling
DNS Tunnelling attacks are unsafe because of leaks from stolen data and using DNS to connect and control the compromised server through remote access trojan. Here’s how you can strengthen your system:
Prevent hacker intrusion by setting up a DNS firewall.
Be aware of unfamiliar sources of IP addresses or domain names.
Use an internal DNS server for the queries of internal clients to filter out malicious domains.
Move to more secure cloud services
DNS Solution that can detect threats in real-time.
Implementing these measures is critical to safeguard your digital assets.
2. Distributed denial of service (DDoS) attacks
In a DDoS attack, a cybercriminal floods an exposed network with requests that overwhelm its bandwidth. The whole system, from the server to the networks, slows or completely shuts down when exhausted by bad traffic; it can’t take any incoming queries.
As fake traffic overwhelms the bandwidth of the hosted website, it won’t receive legitimate requests. This means that email, chat, or anything connected to the internet suffers. In a sense, this is similar to adrenal exhaustion in humans.
DDoS attacks are a real threat because of how easy it is for criminals to pull this off. Experts believe that by 2023, DDoS attacks will exceed 15M, double its rate in 2018. The projected cost per attack is USD$2M for big businesses and USD$120K for small to medium enterprises.
How To Fortify the System Against DDoS Attacks
Cybercriminals can quickly attack a network, but you can keep your assets safe with these measures:
Periodically run a traffic analysis.
Increase bandwidth (not a standalone solution and must be paired with other solutions).
Use one or more Content Delivery Network (CDN) solutions to filter malicious requests and distribute incoming traffic to different servers across many locations.
Offer a network of points of presence (POPs).
Choose a web host that includes server-level DDoS tools to mitigate any attack.
Use a cloud-based or hybrid solution.
Outsource DDoS prevention.
Ensure your team is prepared to deal with the attack. Your incident plan should include contacting your internet provider and prioritizing essentials to retain online.
Be vigilant about early warning signs of an attack on your business.
Optimize your firewall and router configuration to block volume attacks.
These measures are your first line of defense. Still, you can ensure you keep your network safe by working with a reliable service provider.
3. Man-in-the-middle (MiTM) Attacks
This technique puts the attacker between two parties. Once cybercriminals breach the session between the client and host (or user and application), they can steal your data. In addition, the client remains unaware that the communication is going through the hacker.
The usual targets are e-commerce sites, financial institutions, and other applications requiring a login. Once an attacker acquires the login details, they can steal personal information, including your customers’ credit card numbers. The consequences are dire, with identity theft enabling fund transfers and other transactions.
The attack itself proceeds in two stages:
This stage can happen with the use of free public Wi-Fi. Once the unsuspecting victim logs in and does work-related tasks using the free Wi-Fi hotspot offered by the attacker, this can result in sensitive information leaking.
Here are ways cyber threats use to intercept your information:
IP spoofing: The attacker changes packet headers in the IP address. Once disguised as an application, users are led to a bogus website.
ARP spoofing: The attacker’s MAC address is linked to a user on a local area network and leads to data transmitted to the attacker instead of the host.
DNS spoofing: This is called DNS cache poisoning. Users wanting to access the site are sent to the attacker’s site.
Decryption happens through the following:
HTTP spoofing: A type of cyber-attack where a malicious actor sends a forged HTTP request to a web server to make it think the request came from a trusted source.
SSL hijacking: An attacker intercepts secure communications between two parties and alters the transmitted data.
SSL stripping: Attackers downgrade an HTTPS connection to an unencrypted HTTP connection. The attacker can view, modify, and capture any data sent over the connection.
Remember that a cyber-attack isn’t just a single attack. Usually, it’s a concerted attack using different methods. Knowing these stages means knowing what happens next and how you can best fortify your system.
How to fortify the system against MiTM attacks
Don’t use public Wi-Fi networks when sensitive information, especially login information, is exposed. After you finish your business, disconnect from the network immediately. But most importantly, ensure that the sites you visit are secure.
Other ways to secure enterprise digital security
With offices becoming mobile, enterprise systems have become more vulnerable. Though weaponized AI can inflict much damage, doing the following can increase the level of security of your server and network:
Use defensive cybersecurity solutions (firewall, antivirus software, and other security measures).
Use threat and detection solutions.
Ensure that all employees using the system are trained and vigilant about cyberattacks. For instance, they should open emails from reliable sources.
Change passwords often, and don’t use one password many times.
Update network OS, applications, and devices to the latest version.
Use a secure workspace solution with secure file sharing.
Use a VPN even when accessing through a public WIFI.
Use NAS and backup data regularly.
Outsource network protection.
Consider a Single Sign On (SSO) system and two-factor authentication company-wide.
Use Content Delivery Network (CDN) solution.
Employ one or more security measures to protect your business from cybersecurity attacks.
Weaponized AI is prevalent globally and affects small and large firms alike. Cybercriminals can use AI to enter a loophole in your network and impersonate you so they can steal data, direct your clients to their website and modify commands.
But you can protect your system by securing it with a firewall and using VPNs, secure file transfer solutions, and CDN solutions. There’s always the human factor, so everyone in the enterprise should be aware of the signs of an impending attack and with it.