Some trends within the blockchain world are now widely considered “new” or “innovative”. This doesn’t mean they haven’t been tried before, but they are trying to take off now.

We’re talking about new consensus algorithms like DPoS, new cryptography methods like zero-knowledge proofs, new privacy-enabling technologies like ZK-snarks, and new scaling techniques like sharding.

They’re highly technical, complex, hard to understand concepts, and often difficult to implement. Machine learning and artificial intelligence (AI) can also take blockchain and cryptocurrencies into the future.

1. AI Revolutionizes Cybersecurity

The more complex our technology becomes, the more vulnerable it gets. Threats are getting more sophisticated, and as predicted, by 2020, we already have 20 billion connected devices available to be hacked. Cyber-criminals are glad because more devices mean more opportunities to steal information.

Luckily, AI can be a powerful weapon against cyber-crime, as machine learning algorithms can detect threats and respond accordingly. They can protect us from the latest threats out there.

2. AI Is The Future Of Smart Contracts

In a few months from now, everything will be smart and automated. This is why we’re bringing you these 3 simple facts: 1) cryptocurrencies are going to explode within the next years 2) machine learning algorithms allow a computer to learn how to do difficult tasks without explicit programming 3) it’s capable of processing large amounts of information.

Although smart contracts are increasingly becoming common, they’re still considered complex to implement and configure. That’s why AI may be the answer. With an intelligent contract platform, developers can create a variety of pre-programmed conditions that the self-autonomous smart contract will follow.

3. AI Is A New Standard For Efficient Computing

Do you know how sometimes you need to run multiple operations at once? You do them sequentially, one after another. But with the use of Artificial Intelligence, you don’t have to wait for a result from one operation to start another.

You can run them simultaneously— concurrently without waiting for the completion of another task. This saves time and energy while allowing you to focus on what’s important — getting the job done.

4. AI Outperforms Humans At Complex Decision-Making

Complex decisions require multiple pieces of information, which you then have to aggregate into one final answer. Humans aren’t excellent at this task — we’re too biased by our personal beliefs and experience to make an objective assessment. On the other hand, AI can look at all possible variables without bias efficiently and make the best possible decision.

5. AI Enhances Security And Privacy

Machine learning keeps us safe from cyber-attacks — but it’s not just about detection — AI algorithms can also respond to them. Because we know that private information should always be kept confidential, AI also ensures encryption of data and access only to authorized parties.

6. AI Is Essential For Future Blockchain Development

As we’ve seen before, blockchain technology is getting more complex with time — the new scaling solutions are just one example of this trend. If we want this technology to go anywhere, it has to evolve. And with AI on our side, we’re more likely to find those solutions faster. And who knows, maybe AI will itself prove to be a solution for many of the issues that blockchain faces today.

Conclusion:

AI is the future of blockchain development; it makes cyber-security stronger and more efficiently supports advanced computation by allowing multiple tasks to be completed in parallel. Furthermore, it enhances privacy and is necessary for blockchain development.

Understanding The Field Of Image Analysis Software Consulting

Image Analysis Softwares can be used to help analyze pictures- everything from photographs to security camera footage. They  have been around for a long time, but they have only taken off in recent times because they can be used in many fields today.

Examples of Image Analysis Software:

Marketing: One of the biggest challenges in creating an online store is that the store appeals to the users. One way is by using images of their products on every page– it makes the site look classier, and lets people see what they’re buying in advance.

Security: It makes it easier to keep track of various objects as they move around the screen – as well as to sort images into categories

Photography: With image analysis softwares, photographers have access to a number of useful features, like the ability to create a custom image collection. It’s an easy way for someone to find specific images while also making it possible to easily share photos with friends and family members.

Medicine: Image analysis software are used to great effect in the medical field— helping in medical diagnoses and surgery preparation

How Do Image Analysis Softwares Work?

Before consulting with an image analysis software consultant, it’s important to understand how these programs work.

  • Computer vision systems use many types of algorithms to translate images into data.
  • ML algorithms are necessary to help these systems become better over time.
  • The system can be similar to the way that humans learn and process information– but on a larger scale.

The Field is Evolving Fast   

During the next few years, there’s likely to be more advanced image analysis software that makes our lives and jobs easier.

  • It’s possible that OCR and other aspects of the field will become more accurate over time. 
  • Video surveillance systems might be able to use facial recognition to detect potential crimes in real-time.
  • Medical imaging software might become more precise and help doctors make better diagnoses.
  • Object detection systems might be able to identify even small details like serial numbers on banknotes.

Skills Necessary to Work in the Field?

If you’re looking for image analysis software consulting or development, it can be helpful to look up some of the common skills that are necessary to work in this industry:

  • Knowledge of computer vision– this field concerns itself with the study and construction of systems that can understand images.
  • Knowledge of computer vision systems— knowing things like how these programs use colour, shape, texture, motion, etc.
  • Video processing knowledge— this knowledge covers the construction and understanding of video in its various forms.
  • Knowledge of the field of robotics— systems that are used to advance robotics often need to have image analysis software built into them.
  • Knowledge of machine learning— understanding the process that goes into machine learning can be helpful.

Who Can Benefit from Image Analysis Software Consulting?

  • Organizations that want to study their own images can benefit from hiring people.
  • Businesses that need help with image analysis softwares might also benefit from consultants.
  • Governments interested in improving their security might hire consultants
  • People who are curious about becoming an image analysis software consultant.

What Fields Can You Work in After Getting Image Analysis Software Consulting Experience?

The short answer to this question is that there’s no limit!

  • If you’re good at mathematics and learn how to apply it to image analysis software consulting, then you might find yourself working for banks or insurance companies that need help with problems like fraud detection.
  • If you’re skilled at computer vision, then you might be able to find work in the gaming industry.
  • Many security organizations are interested in working with image analysis software consultants who can detect suspicious activity on video surveillance systems.
  • Medical imaging is another industry where people with image analysis software consulting skills are often in high demand.
  • If you’re interested in photography or videography, then working with image analysis software can help you create better camera footage.

Why You Might Want to Work With An Image Analysis Software Consultant?

  • You need custom image analysis software that can be used for your business.
  • The image analysis software is already in place, but it needs to be changed or improved.
  • Using image analysis softwares, it’s possible to improve many different types of computer vision systems. 

This is a relatively new discipline that has a lot of potential for the future – which is why more and more businesses are hiring Image Analysis Software consultants.

The chances are that you’ve heard about IoT and know that it’s becoming increasingly common in today’s society. Still, you might not be clear on what this entails and why it is important to consider when implementing new projects within your company.

If you’re here, I’m assuming that you already know what the Internet of Things (IoT) is all about: connecting your physical devices to the Internet. After that, it’s up to you how this connection can best serve your individual or company’s needs. 

As one of the fastest-growing technological fields, IoT has become popular among all kinds of companies. But, as with every new trend, there are steps to take beforehand to ensure its success. For instance, if you’re still thinking about communicating with your devices and collecting the data generated, you might not be all set for IoT implementation yet.

10 Key Considerations When Implementing IoT

Prior to beginning an IoT project, there are a few things to think about:

1: You Must Have The Correct Tools

It’s a must to have the right tools in place for a successful IoT implementation. IoT is all about interconnecting devices and sensors, so it’s important to have a platform to manage this connectivity while generating insights from the data collected.

2: Understand Your Needs

It’s important to understand your needs– do you want to detect problems in certain areas or gather information about what may be going wrong? Whatever the case may be, make sure that you understand exactly what you want to get out of your IoT project before moving forward.

3: Prepare For The Future

If IoT is a new department or division within your company, how do you envision its development over the next few years? Before you get your project started, it’s important to think about the future and plan accordingly.

4: Keep Security In Mind

IoT connectivity management should always be cautious about security. This is especially true when considering cloud-based platforms that may have sensitive data flowing through them.

5: Prepare For Operational Challenges

Some IoT projects come with their own unique set of problems. As such, you’ll need to prepare for challenges like facing large amounts of data coming in, potential connectivity issues, or even possible performance problems with devices.

6: Find A Skilled Partner

Having a skilled partner for your IoT implementation is crucial. A skilled partner will not only be able to help you solve technical problems during the project, but they can also save you time and money in the long run with their experience.

7: Make Sure Your Employees Are In The Loop

If you want the implementation of IoT to be a success, it’s important to get your employees involved from the get-go. They have valuable knowledge and skills that can allow you to create a better system.

8: Keep Up With Industry Trends

Making sure that you’re up to date with industry trends is extremely helpful in the long run. So, this way, you’ll be able to see what other companies are doing and discover new ways of utilizing IoT for your business.

9: Always Test Your Systems And Devices

Before you implement any type of system, make sure to test it at a smaller scale first. This will help you determine if the IoT connectivity is working properly and give you an idea of how your employees will use the system in the future.

10: Start Small And Have Patience

It’s always best to start small and have patience while your IoT implementation takes shape. Don’t try to do too much at once, or you might run into some issues down the road.

Conclusion:

You will see that there are many important things to consider before starting your own IoT implementation – not just when it comes to hardware and connectivity management but also with issues like security and the future of your project. There’s a lot to keep in mind!

However, these challenges can be met head-on with the right tools and knowledge as you move through the implementation process. If you’re not certain where to start or how to go about implementing an IoT system, it could be a good idea to work with a partner that can guide you through the process.

What if we could evolve with AI? It would be like having an artificial intelligence best friend.

The following are some of the many benefits that arise from incorporating and adopting this technology: 

Algorithms provide a means by which businesses operate more efficiently; they perform tasks that humans find difficult or laborious, such as data analysis and decision making.

Artificial Intelligence has been seen as one of the latest ‘buzzwords’ in eCommerce. This trend will continue to grow even more as more companies look into how AI can improve their customer experience, revenue, and market position. 

Artificial Intelligence has a number of advantages:

Improved Customer Experience

AI can help improve the customer experience through chatbots– these applications can respond quickly to a wide variety of questions. The goal of using AI in this context is to improve the buying experience. 

Improved Revenue

AI-based applications are capable of learning patterns to understand how customers interact with websites. Thus, they can help companies improve their conversion rates by personalizing the website based on this data.

Market Position

In addition, using AI can help companies improve their market position by making more accurate predictions.

Faster Processing

One of the most significant advantages of AI-capable technology is its capacity to deal with huge amounts of data more quickly. It will also eliminate the demand for additional workers and expensive infrastructure.

Improved Supply Chain

Some retailers use supply chain technology to track their products to maintain quality standards and provide superior customer service. 

By aggregating data from multiple sources, companies can gain real-time insights into optimizing their supply chains.

Companies That Use AI

Amazon

A prime example of how businesses today heavily rely on AI is Amazon. Ever since its foundation, the company has been using high levels of AI in its operations, which will become even more evident in the future. 

Facebook

As more and more people use social media, companies that advertise on them will collect a lot of data. 

They are collecting this information through their “likes”, which can indicate how customers feel about certain products.

Apple

One example of how companies rely on AI is through Siri, their assistant that can help people with a wide range of tasks such as making appointments or playing music. 

Google

Another high-profile company that uses AI is Google. Ever since its foundation, the company has used different forms of this technology to improve various aspects of its business.

They have done this through machine learning, which helps them collect data that can be analyzed for patterns.

Future Trends In The Application Of AI In Ecommerce

Chatbots

Chatbots are capable of responding quickly to a wide variety of queries by using Natural Language Processing. This type of AI is easily accessible to anyone through various platforms, which allow companies to create their versions of chatbots.

Virtual Personal Assistants

Another application of AI in eCommerce is virtual personal assistants to handle customer requests and provide more insight into buying patterns. 

This technology is becoming extremely popular as companies like Siri, Cortana and Alexa become more advanced.

Recommendation Engines

AI-based recommendation engines rely on various algorithms to determine how customers interact with products. As these systems become more precise, they will improve conversion rates by making personalized recommendations to customers at the right time.

Music

One example is Topspin which provides direct-to-fan marketing services to artists. Thanks to AI, they can now suggest songs based on the customer’s music preferences, which will result in more revenue.

Artificial Intelligence Marketing

An example is Stasis Labs which is utilizing AI chatbots for their marketing campaigns. They use predictive analytics to determine how prospective customers interact with various marketing campaigns.

Conclusion

With greater accuracy and improved customer service, AI systems are expected to help increase revenue for eCommerce companies and ultimately provide better shopping experiences to people around the globe.

A business or an organization can choose to either be driven or drive itself forward with technology. So how would one go about this? Many firms are offering these services, and they will run you through several models that you can use for digital transformation. Still, it comes down to identifying your target market and knowing what you want to achieve.

This sounds like common sense, but most businesses don’t know exactly where they want to go, which is why digital transformation services are priceless. It doesn’t matter what industry or business you have; digital transformation services will integrate your organization with the latest technology to keep up with the times.

Within this article, we’ll provide some tips on how to go about your digital transformation services.

Step #1: Know Your Target Market

Many businesses think that they know their target market, but in reality, there is still so much more that needs to be done. You’ll need to draw your customer profile and create a buyer persona that will reflect the actual demographic of the people who are buying your product or service.

Step #2: Learn How to Use Technology Efficiently  

There are so many various types of software available today, and you’ll need to know how to use each of them to get the most out of your digital transformation services.

For example, business analytics tools will allow you to keep up with all of the metrics surrounding your business while also monitoring any risks or potential pitfalls that may be present.

Step #3: Choose the Right Price Plan  

Keep in mind that there are different plans available for each digital transformation service. The best thing is to figure out just how much you can spend on these services based on your budget.  

The key to maintaining and thriving with technology is by having the right skills that will allow you to integrate it into your business model.

Step #4: Keep Track of Your Progress

In the beginning, you’re probably unsure of what will happen when you implement these digital transformation services. While there isn’t a correct way to use technology for your business, you must keep track of your progress to evaluate how much this investment will pay off in the long run.

The ideal method to track your progress is by measuring everything weekly or even daily. If you can do this, it will allow you to monitor and understand how technology can help your business grow.

Step #5: Listen to Your Customers

What are the customers saying? Are they complaining about anything in particular? You must listen to your customers so that they feel heard.

If the customer is not satisfied with something about your business or doesn’t think it’s a fair price, they will not be willing to do business with you. And sometimes customers are just having a bad day and don’t mean anything by it. The key to gathering feedback from your customers is to listen without getting defensive.

Step #6: Ask For Testimonials

There’s no better way for potential customers to see what this digital transformation process looks like for other businesses than hearing it from their mouths.

There are plenty of different ways for you to get testimonials. The ideal way to go about this is by asking current customers who have had positive experiences with your business whether or not they would be willing to share their thoughts online via social media platforms.

These digital transformation services will not only be an excellent way for you to keep up with technology, but they will also allow you to make your business more efficient.

Step #7: Keep Up With The Trends

You want to make sure that you’re able to keep up with these digital transformation services in the future as well.  

Technology is constantly changing, and if you cannot keep up with it, it’s time to end things.

By staying on top of things now, you’ll be able to get a head start on what’s to come in the future.

Conclusion

If technology interests you, then there’s no reason you shouldn’t use it in your business. These digital transformation services will help you better understand how much technology can benefit your business and why it’s essential to keep up with the trends.  

Technology is here to stay, and if you’re serious about growing your business over the long term, then there’s a good chance that these digital transformation services are going to help you get there.

Augmented Reality – What is it?

Simply put, augmented reality (AR) may be defined as a live direct or indirect view of a real-world environment with computer-generated sensory input such as sound, video, graphics, or GPS data “augmented.” The effect is similar to what we might see in a science fiction movie, where characters can interact with their environment through a computer-generated interface. Essentially, AR blurs the lines between reality and imagination.

There are three primary forms of AR technology:

Camera-Based – This type of AR uses a smartphone or tablet camera to capture images and video. It then adds information to those images based on the device’s location and orientation. For example, if you take a picture in front of Buckingham Palace in London, your image might come with information about the history of the building.

Projection-Based – This AR method uses a projector to display an image on any surface and then adds virtual elements. You can use your hand or other objects in the scene to interact with or block that image. However, the technology isn’t very accurate and has difficulty distinguishing between the camera’s rear and digital images.

Hybrid – This AR technology uses cameras, projectors, or other sensors to render an image in real-time, combining the user’s view of the world and virtual elements. We can see a preview of how this type of AR might work in gaming systems such as the Microsoft Kinect.

Applications of AR Technology

Even though we don’t have Walgreens that uses an augmented reality system yet, there are many other ways this technology will be used in the future by consumers and businesses alike. Here are some examples:

Shopping – Businesses like Gap and Ikea are investing in augmented reality systems so that customers can try on clothes or view furniture in their homes before they buy it. This technology also allows customers to use a smartphone or tablet device to scan a code at the cash register, which will automatically offer coupons for their purchases.

5 Ways Augmented Reality Will Change the Way We Interact with Technology

While augmented reality is not yet mainstream, it’s quickly becoming a hot topic among the masses. One reason for this could be its ability to transform how we interact with technology. Let’s take a look at five ways that AR will transform our world and make us rethink how best to use the technology in front of us:

1) Improved Gaming and Entertainment

With augmented reality, we will potentially improve gaming and entertainment experiences to an entirely new level. By connecting virtual worlds with our own, we can step into a game like real life while also looking through realistic 3D environments.

2) More Engaging Social Media Platforms

Augmented reality can be the key to creating social media platforms that are more engaging than ever. This technology can be used in real-time so that information is presented as if it were happening, thereby eliminating the need for people to filter out additional information while they’re online.

3) More Efficient Business Transactions

You’ve no doubt had a bad experience tracking down a firm or organization on the internet. AR can make this easier by allowing businesses to present themselves and their services to the public more easily. This could become a great way for shoppers to learn about products before going out and buying them in person.

4) Enhanced Learning Opportunities

Augmented reality can change the way we think about learning. By providing more options for interaction, AR will give us more opportunities to practice skills that we want to learn while also making it easier for us to absorb information and retain it better than ever before.

5) Better Communication in the Workplace

Businesses can improve communication in their work environments by using augmented reality. This technology can change how meetings are conducted while also helping employees understand more about what is going on in their Workplace at any given time.

Conclusion

As you can see, AR has the potential to change how we interact with technology in a big way. While it may not be mainstream just yet, the possibilities are there for this technology to do even more than we could have imagined ten years ago.

A lot of companies have started harnessing the potentials of machine learning to create a better customer experience. A great way to understand machine learning is that it’s the science behind machines getting more competent as they gain more experience with data provided to them.

Understanding this concept in layman’s terms is relatively easy, but if you’d like to know more about its technical aspects, you can read up on this machine learning tutorial here.

Any company’s success is its ability to set terms, which means that artificial intelligence learns from its environment and can make accurate predictions and give solutions.

What is Machine Learning?

Machine learning is an application of artificial intelligence that enables computer programs to become more accurate in predicting results without being explicitly programmed. It’s a subset of artificial intelligence, so it’s based on algorithms created using AI techniques. 

But why is this relevant to your company? Machine learning can help you in a variety of ways, 

such as:

  1. Producing Predictions and Precise Forecasting

A computer program using machine learning algorithms can process large amounts of data useful for decision making. More often than not, the results are more precise and accurate than those that humans can produce by themselves.

  1. Real-Time Analysis of Data

Machine learning abilities allow users to process information as it comes in instead of on a batch basis. For example, a computer program can record sales data in real-time and then run the numbers against history to predict future results. This approach is often better for business operations.

  1. Identifying Patterns That Exist within Data Sets

Machine learning algorithms are sophisticated enough to recognize trends or patterns within large datasets. Some businesses have already harnessed the power of machine learning.

Three Ways Your Business Can Use Machine Learning

  1. Improve Conversion Rate for Website Visitors

One application of machine learning is to track user behaviour on websites through each stage of a conversion funnel. By analyzing the individual characteristics and patterns in visitor behaviour, businesses can provide visitors with relevant content at each location – to increase sales conversions or get them through the lead generation funnel faster. This leads us directly to the following use case for machine learning.

  1. Personalize Recommendations for Customers

Every marketing campaign or customer interaction presents an opportunity to add value through a personal touch; machine learning can provide insights into what content and products a customer will most appreciate, based on their past behaviour with your company. This approach can drive better conversations between employees and customers that produce more meaningful results.

  1. Predict the Future

Machine Learning algorithms have evolved well beyond “If this happens, we’ll do this” scenarios; they can now predict future events based on existing data patterns. This predictive analytics capability is not limited to just understanding individual circumstances (like predicting when customers will churn) and serves as the foundation for so-called ‘smart’ business applications.

How Can You Leverage Machine Learning For Your Business?

You can build, test, and deploy predictive models to drive critical business decisions more accurately than traditional approaches with machine learning. Using this information allows companies to:

Target Marketing Campaigns

Personalized marketing campaigns are the future of business; they allow companies to engage with customers one-to-one. Machine Learning algorithms can help you solve the problem of personalization without relying on an army of data analysts; it will be possible for your company to uncover what content or products your audience needs – at any given point in time. This is particularly important as new customers enter your funnel from different sources, and you want to ensure that you don’t miss out on potential opportunities.

Improve Customer Experience

AI algorithms can help you mine data; as a result, it’s possible to identify trends and patterns of habits that will allow for better decision-making about the products or services that customers are seeking. AI tool sets allow business owners to identify these problems and solve them before leads leave their pipeline. 

Last Thoughts

The most important thing, though, is understanding the business case for a machine learning project. As with any investment in technology, this approach needs to improve operations and provide meaningful insights that will enhance customer experience.

Next time you’re considering an AI initiative, remember these five key steps:

  • Define your objectives.
  • Select the correct data.
  • Ensure the team has the right blend of skills.
  • Stay on top of market trends.
  • Invest in toolsets that help put these capabilities into production faster.