How to Use an AI-Powered Platform for Phenomenal Marketing

Posted on January 12, 2022August 31, 2023 by mkoftielieva

When will using an AI-powered platform make digital marketers obsolete?

Right now, available AI-based solutions might not be quite at that level yet. However, given a few years of continued crazy growth of the artificial intelligence sector, the answer might be different. Today we can see how AI-based technologies are changing the entire world, like computer vision for self-driving cars. And the combined power of AI and big data analytics has enormous marketing potential. So, it’s not a stretch to say that artificial intelligence tools used for this purpose will keep evolving fast. Eventually, they will take over all of the basic marketing tasks.

Therefore, marketers need to understand AI and use its powers to augment their skill to avoid becoming obsolete. Keep reading so you know how to start doing this right away.

What an AI-Powered Platform Can Do for Marketing

AI can bring tremendous value in marketing due to its ability to automate and draw insights from data. Right now, personalization is the number one requirement in marketing. So, you must process a lot of data about your target audience. Using AI and big data analytics will allow you to do that fast.

Artificial intelligence can find correlations and trends from a vast amount of information. Moreover, AI-driven tools do this at a speed that humans can’t hope to match.

To get the most value out of an AI-powered platform, you need a framework enabling you to use all its marketing capabilities:

Digital ad placement.
AI can easily choose the best spots for your digital ads and automate the entire placement process.
Predictions.
Using an AI-powered platform for predictive data analytics enables you to make reasonably accurate sales and traffic forecasts.
Customer service tasks automation.
Using AI-based chatbots allows you to enhance customer service.
Sales boost.
Moreover, you can use chatbots at various funnel stages for upselling, cross-selling, and lead development.
Customer comment analysis and classification.
Use AI big data analytics to make detailed buyer personas and manage customer feedback to derive maximum value.
Marketing campaign automation.
One of the greatest benefits of using an AI-powered platform for marketing is your ability to automate multiple tasks. As a result, it enables you to save both time and money. Nowadays, AI can automate email and SMM campaigns, generate landing pages, and handle customer segmentation to enhance campaign personalization.
Marketing analysis.
Use AI and big data to perform a detailed marketing analysis of any niche.
Pricing.
You can also use AI-driven insights to establish pricing.

How AI and Big Data Are Transforming Targeted Ads in 2022

No marketer can deny the efficiency of targeted ads. However, marketers also know how much of a challenge targeting can be. You must be a real sharpshooter to get the highest value from these ads.

Any marketer that uses a specialized AI-powered platform today can get a considerable advantage in targeting. That’s because you can use AI for:

Product recommendations personalization.
AI and big data allow you to learn plenty of details about your customers and target audience. Therefore, you can create highly personalized offers with a much better conversion rate. Remember that 74% of consumers will feel frustrated if your content isn’t personalized. Therefore, personalization is the single most important requirement for modern marketing. So, using AI that gives you a chance to achieve the highest personalization level is a must.
Social media sentiment analysis.
An AI-powered platform can also surf through terabytes of social media content and analyze user sentiment. These reports will give you invaluable insight into your target audience. You can use the data not only for personalization but also to adjust and even build a new marketing strategy from scratch. Most importantly, use this capability to understand how your marketing efforts perform in real-time.
Web analytics narrative generation.
Get more from your web analytics using an AI-powered platform to generate in-depth traffic analysis. This way, you can learn how many people visit your website and when. In addition, you’ll know what they are most interested in. See how they react to different types of content and learn how to attract visitors to the most relevant pages.

Remember that this information can help you further improve digital ad targeting. AI-powered market research makes a huge difference for any business today.

The Power of AI Copywriting

AI big data analytics brings colossal value to marketing. However, you can’t forget about other types of AI. The foremost of them are AI-based content generation tools.

Know that an average person consumes digital content for up to 7 hours daily. Therefore, the amount of content already available online is enormous. However, we need even more of it. Marketers understand how hard it is to generate fresh content constantly. So, the ability of AI to basically do it for you makes this technology priceless.

AI copywriting, in particular, is a service that can become a game-changer for marketers. It’s because AI services are much more affordable than hiring a copywriter. Also, AI can identify and use the most efficient formulas for writing a copy that delivers results.

An AI-powered platform for content generation can be used to produce:

Blog articles
Guest posts
Social media posts
Emails

Then, you can use a different types of AI-based solutions to post this content and monitor its performance automatically.

To sum it up, you can automate the flow of your content marketing to a great extent. Thus, you’ll be able to get maximum value from this efficient area of digital marketing with a reasonably small investment.

Most importantly, you can be sure that the content will keep coming. And AI-powered market research will keep you apprised of all the trending topics. So, you can ensure your content stays relevant.

Considering this potential, it’s obvious why AI-powered marketing platforms are one of the main directions for AI development in 2022.

Bottom Line: Start a Marketing Revolution Through an AI-Powered Platform

An AI-powered platform can indeed make a difference in many areas of technology and business. However, taking into account all it can do for marketing, it’s easy to see that AI can revolutionize this sector.

AI-based solutions can generate, post, process, analyze, and monitor all your marketing campaigns in real-time. Moreover, using AI big data analytics allows you to learn as much as possible about your target audience. So, your business will be able to deliver the best results. And it’s not even mentioning all the other creative ways you can use AI, like chatbots.

Do you need to learn more about using AI to boost your marketing business? Or, perhaps, you even have a plan for an AI-powered platform of your own?

Contact our expert developers to help you bring those ideas to reality!

What’s in the Future of AI-Driven Software Development?

Posted on December 15, 2021August 30, 2023 by mkoftielieva

AI-driven software development is revolutionizing every area of the world. We, users, hardly notice it, just enjoying the benefits that technology brings to our lives. But, it’s quite a bit different for developers.

Already over 80%of enterprises invest in AI. And Gartner says the artificial intelligence industry will create a value of about $2.9 trillion in 2021. The capabilities of AI are fantastic, which you can see from the rise of technologies like computer vision.

Writing code seems like it could be one of the tasks AI excels in, and in some ways, it is. However, AI-based software development isn’t about replacing developers with machines. Instead, it’s about creating a world where people augment their skills with technology.

How AI-Driven Software Development Will Reshape the Programmers

First of all, it’s crucial to note that AI-based software development isn’t going to replace the traditional development we have now. Human experts are the ones who drive and will continue driving this industry.

In the age of rising AI, developers will need to shift their priorities and expand their skills. Therefore, developers should focus on products that enhance automation and data processing when creating AI solutions for business. In essence, the primary purpose of AI-driven software development is to provide businesses with opportunities to:

Become leaner.
AI’s superior data analytics and forecasting capabilities should help businesses make better cost planning and risk assessment decisions. As a result, companies can become leaner and more efficient, increasing their revenue due to accessing better data.
Conduct market analysis.
Market Analytics is a very expensive service, so SMBs can’t hope to afford it. But AI-based software development can create solutions that will automate market analysis and make it more affordable. Therefore, small businesses will get a chance to become more competitive.
Getting intelligent assistance.
AI-based assistance can help people handle various tasks, from accounting to providing automated customer support. Therefore, businesses can use it in multiple ways to benefit themselves and their customers.

All in all, a developer of the future will need to focus on more creative aspects of the job. Routine and mind-numbing tasks like going over the code to make minute fixes and improvements can be assigned to an AI. Meanwhile, developers must work on tasks that can’t be automated as easily, like designing and creating custom solutions.

AI-Based Software Development: Top Benefits for Coders

The main reason software developers should appreciate artificial intelligence is that it can help resolve many challenges they face. Moreover, AI-driven software development can automate quite a few tedious menial tasks that take a lot of time. Therefore, it enables developers to focus on what’s important and allows exercising their talents to the fullest.

Security assessment improvements

Maintaining the highest level of security is crucial for software developers. Involving AI in this process can be a great help. Artificial Intelligence can analyze the data coming from the system itself and network sensors. Then, use it to identify any abnormalities extremely fast.

In essence, AI can automate code defense. Subsequently, it will significantly reduce the time and effort human developers need to spend on ensuring security.

In addition, AI-based software development quality assessment reduces the time it takes to complete a project.

DevOps automation

Making multiple changes and upgrades to the software is essential for SaaS development services. However, as any developer knows, frequent deployments can be taxing. Also, there is a risk of making a mistake at some step of the process. AI can be a great assistant during the deployment, reducing room for errors and automating many processes.

Meanwhile, machine learning algorithms will study the deployment process and analyze it. Then, the AI can use the data to offer insights on improvements and increase its response time based on learned patterns.

QA automation

Software quality testing and assurance are vitally important parts of development. So, one of the main benefits of AI-driven software development is that AI can automate these processes running them continuously.

As a result, the product quality grows and developers get real-time data on whether their ideas work.

Software design assistance

Software design is a complicated task, to say the least. It’s also one where human developers are sure to prevail over artificial intelligence. However, AI-driven software development can be implemented here as well.

It can be used to create AI assistants to help designers better communicate with clients and understand their needs. The software can allow clients to select options that will enable the designer to see their preferences more clearly. AI will generate the most likely combinations of elements. Then, a designer can use them to create a highly custom-tailored project.

Bottom Line: AI-Driven Software Development Making the World a Better Place for Developers

Any artificial intelligence software development company is a power to be reckoned with today. And the relevance of AI will only grow. AI-based software development can augment the work of human professionals freeing up their time and resources.

Developers can use AI powers for:

Providing accurate estimates
Automating code refactoring
Automating testing for abnormalities and errors
Assisting in handling errors
Speeding up the creation of prototypes

But most of all, AI-driven software development can help with strategic decision-making. Using the insights provided by AI and time saved by the machines crunching the data, developers can create better products, thus benefiting their clients.

So, we are sure to keep seeing more artificial intelligence applications as the world of technology evolves and becomes more user-friendly.

Artificial Intelligence Software Development: First Exposure to Computer Vision

Posted on November 24, 2021September 25, 2023 by mkoftielieva

Oleksii Makarov is one of the leading experts on artificial intelligence software development at Devtorium. During our recent IT Crowd event in Vinnytsia, Oleksii made a short presentation about computer vision. This technology is undoubtedly exciting and already has a huge impact on the world. Today, Oleksii will tell us more about what it is and how computers learning to ‘see’ affects our everyday lives. With his 21 years of experience and a passion for math, Oleksii can make this complicated subject easy to understand.

What Is Computer Vision for Artificial Intelligence Software Development?

In the simplest way possible, computer vision is a set of technologies that aims to make computers process images in a manner similar to human vision. However, the math behind the process is a lot more complicated.

One thing you need to know first is that computer vision technology already exists. It’s used in a variety of ways, including SaaS development. In fact, each of us has been exposed to it multiple times. However, you likely don’t even realize how often you come in touch with this AI-based software development product.

Also, it’s crucial to note that computer vision was somewhat limited until the recent jump in artificial intelligence software development. Due to advancements in deep learning and neural networks, this technology can now surpass human vision in some capacities. But, this particular level of computer vision is only about a decade old.

In ten short years, this technology achieved outstanding results in many areas. It means that we can expect more global transformations powered by AI-driven software development.

Of course, tech plays a significant part in this leap. However, the main driver behind the growth of computer vision and artificial intelligence software development is data.

As a society, we generate tons and tons of data. And AI learns by processing these massive databases. Just image-wise, there are over three billion pictures shared online in a single day. Every day. So, AI and computer vision have an opportunity to become better at an unprecedented rate.

Already this technology is capable of processing images at extreme speeds and identifying objects with 99% accuracy. The results of these processes are used everywhere, from crime investigation to marketing and self-driving cars.

AI-Based Software Development: Deep & Machine Learning Technologies

One of the leading technologies used in computer vision is machine learning. To be exact, this type of tech uses its subset called deep learning. Deep learning methodology learns through neural networks, enabling it to improve with every progressive deeper layer of data.

This machine learning method is currently used in computer vision and other vital areas of artificial intelligence software development. The industries where it makes the most significant impact include:

Healthcare and drug research
Genomic sequencing
Self-driving automobiles

For computer vision, deep learning algorithms enable machines to understand the context of visual data they process. That’s how computers eventually learn to tell one image from another and identify similarities or differences. Computer processing can be much more powerful and faster than the human brain. Therefore, applying computer vision in various real-life situations makes it possible for machines to identify minor discrepancies in images. So, they can alert humans of any potentially dangerous inconsistencies.

AI-based software development powered by deep learning algorithms makes it possible to have machines ‘look’. However, they do not perceive images the way we do. Instead, they break down a single image into layers of pixels. That’s where convolution neural networks come into play.

Convolution and Deconvolution Networks in Computer Vision AI-Driven Software Development

“Alert! This might sound convoluted, but it’s actually not so bad”. It’s what Oleksii says when he starts explaining the neural networks technology used in computer vision. In order to make computers see, artificial intelligence software development engineers use convolution networks. Simply put, this is a process of machine breaking down the image into layers and layers of pixels. Each following layer is simpler and therefore less understandable for humans. But to a machine, they are the true ‘objects’ its ‘vision’ can process.

The machine will run predictions based on what it’s seeing and eventually trigger a deconvolution process. Basically, it’s the opposite of convolution. And predictive data analysis powered by Ai is a popular technology today.

We see the results of these complicated mathematical processes within AI-powered systems of computer vision through the actions of machines. You can find the easiest to understand example in self-driving cars. First, the machine recognizes the shapes of all objects within its ‘field of vision’. Then, it runs multiple iterations of predictions. And the car uses the data to drive and safely avoid obstacles.

Artificial Intelligence Software Development: Computer Vision Tasks

When you get down to the heart of it, computer vision is all about pattern recognition. Essentially, it performs two main tasks: classification and segmentation. Machines learn to identify objects and segment images into multiple views to make predictions.

Processes involved in computer vision analysis include, but aren’t limited to:

Object classification: understanding the category of an object.
Object identification: Understanding the exact type of an object.
Object detection: determining where the object is located within the image.
Object verification: verifying whether the object is present in the image.
Object segmentation: breaking down the object image into layers of pixels.
Object recognition: identifying objects in the image and their locations.

How Computer Vision Technology in Artificial Intelligence Software Development Will Change the World

Unsurprisingly, Oleksii gets many questions about the applications of computer vision and the impact of this tech on the world. According to him, the scope of it is nearly impossible to define because this technology has tremendous potential.

Oleksii believes that the main areas of computer vision, as well as AI-based software development implementation, will be:

Autopilot technologies, which will revolutionize the transportation sector as a whole. This won’t stop at self-driving cars as piloting other modes of transport can be automated. Moreover, machine pilots can be more efficient and reduce the risk of accidents.
Healthcare research is another area where the capabilities of artificial intelligence software development are tremendous. Already some companies use AI to predict the human body’s reactions and develop medications based on this data. For example, DeepMind is one of the leaders in this innovative industry.

To those worried that machines will take away human jobs, Oleksii recommends to stay calm. Of course, automation will make some professions redundant. However, many other new jobs will appear in response to global and technological changes.

To those interested in learning more about computer vision and artificial intelligence development software, Oleksii suggests the following resources:

TowardsDataScience: great portal with news about the latest AI tech developments.
3Blue1Brown: a YouTube channel where high-level maths is explained in simple and easy-to-understand terms.
Jeff Heaton: a YouTube channel by a Ph.D. VP, Data Science at RGA, Adjunct at Washington University, St. Louis, who explains neural networks and other technologies in a simple way.

If you want to talk to Oleksii regarding artificial intelligence software development or engage our services to create an AI of your own, contact us!

How AI Based Software Development Is Transforming Healthcare

Posted on October 6, 2021August 30, 2023 by mkoftielieva

When you hear about AI-based software development for healthcare, what do you imagine this tech can do? Are you thinking about AI-powered devices that tune into your brainwaves? Or do you think of technology capable of diagnosing diseases remotely? Perhaps, you can even imagine talking to a robot-therapist?

Or do these things sound like something out of a sci-fi movie?

It turns out that all of it is true now. The applications of artificial intelligence in healthcare are revolutionizing many medical fields. Already, VR and AR solutions can help people who had almost no hope for recovery only a decade ago. Moreover, various methods of AI automation in healthcare make help available to those living in remote communities.

AI technology is literally saving lives. Keep reading to find out how it does it and what we can expect to see in the future.

Uses of AI-Based Software Development in Healthcare 2021

Artificial Intelligence in Healthcare: Assisted Therapy

The most basic form of AI-assisted therapy is the use of a chatbot for primary therapeutic interventions. Basically, the AI acts as a therapist and offers support and guidance in a patient’s moment of need.

The efficiency of psychotherapy has long been proven. But now, you might wonder whether Artificial Intelligence can replicate the effects of talking to a human therapist.

According to an extensive study from Stanford University, AI is capable of effectively helping people suffering from anxiety and depression.

The most crucial benefit of AI-assisted therapy is that it makes mental healthcare accessible to people who have no other way to get it. At the moment, there are both free and paid therapy apps that offer different interventions for depression and anxiety. The user, essentially, receives a type of self-guided therapy with AI acting as an assistant on this path.

Chatbots can also be used as support in a traditional therapy course. Patients can turn to them between sessions when they require immediate help. This both improves the patient’s mental state and makes therapy more affordable.

Moreover, chatbots do not only offer support and guidance. These healthcare AI software solutions also collect data about your condition daily. Then, they can analyze this data to provide insights into anxiety or depression-inducing patterns that a therapist can use to improve your treatment.

Using the app, you can also track your own progress. In itself, this kind of tracking can be highly beneficial for a person struggling with challenges, like depression. To have tangible proof of one’s positive progress is a vital motivator.

AI Automation in Healthcare: Chatbots and Telehealth for Remote Areas

The COVID-19 pandemic highlighted many problems within the healthcare system. One of the biggest among them is a desperate need to make healthcare services more accessible. And AI-based software development can do that.

Conversational artificial intelligence and telemedicine have saved hundreds of lives already. Moreover, these technologies are fast becoming indispensable for offering preliminary diagnostics and ongoing treatments.

Healthcare AI software solutions allow doctors to stay connected with patients no matter where they are located. In addition, they can offer basic education, support, and guidance to people who require immediate help or ongoing supportive treatments.

The potential of artificial intelligence in these areas is immense, states a study published by the Institute of Electrical and Electronics Engineers. Its full transformative power can be realized in rural areas, especially in developing countries where access to healthcare is limited. And the situation got exponentially worse with the added strain of pandemic restrictions.

At the moment, there are technologies in development that will enable immediate and effective use of telemedicine in emergencies. However, this field is only growing. Therefore, everyone with ambitions to create an outstanding app that can change the world should consider this industry.

AI-Based Software Development: VR Treatments for PTSD

Exposure therapy has proven to be a highly effective treatment for phobias and PTSD. VR tech has the power to enhance these treatments and make them much more accessible. Already, there is solid evidence that VRET (VR Exposure Therapy) can help treat phobias. In addition, studies of using this treatment as part of PTSD therapy showed positive results, reports Frontiers.

Unfortunately, at the moment, this technology isn’t widely available in clinics. Therefore, applications of VRET are limited. Also, there are only studies conducted with soldiers and veterans. Therefore, broader possibilities of VR healthcare AI solutions are still unexplored.

However, there is hope that making the tech accessible will enable researchers and therapists to develop more effective treatments. We are only starting to acknowledge the severity of the impact that PTSD has on society as a whole. And while there are some effective treatments for this condition, they are limited. So, this branch of applying artificial intelligence in healthcare is still full of possibilities.

Specialized Healthcare AI Software Solutions: Healium

The applications of AI-based software development for healthcare take many forms. But none of them so far are as futuristic as Healium, an app that tunes into your brainwaves. The app claims to be an ‘immersive media’, as Healium’s CEO said to Forbes.

This app uses wearable devices to ‘read’ the body’s electricity and help users create their own unique relaxing world. The goal of Healium is to help fight anxiety and ease stress management.

The app uses a combination of AR and VR tech, game design, and storytelling, all powered by research in neuroscience. The result is a solution that can help people manage anxiety through techniques of immersive meditation.

Healium is currently unique, but its rising popularity indicates that it won’t be the only app of this kind. The pandemic made anxiety levels skyrocket worldwide. Therefore, various stress-reducing techniques are popular as never before. Artificial intelligence applications in healthcare are most efficient for this purpose as AI can adapt to every user’s individual needs. Therefore, it can offer highly personalized treatments.

AI-Based Software Development in Healthcare: Prescription Video Games

Here is the validation of all those hours spent playing by all computer gamers worldwide. FDA approved the first computer game as a valid treatment for children with ADHD. Granted, it’s not an excuse to spend 14 hours playing PUBG every day. However, it’s clear evidence that games can be a power for good.

Prescription games are very different from regular ones. But they rely on the same interactive technology. The first-ever FDA-approved game went through seven years of clinical trials and proved that an interactive play could make a quality change for some people’s lives.

At the moment, this technology is only used for ADHD. But the potential for applying AI-based software development in this area is tremendous. So, if you have an app idea, you should go for it!

Bottom Line: AI-Based Software Development for Healthcare Is Saving Lives

There are many uses for artificial intelligence in healthcare and even more are possible. This is a field that requires more ideas and products that can improve and even save countless people’s lives. Today, there are solutions that make healthcare accessible. But there is a lot of room for growth. An experienced AI software development team working with scientists and powered by innovative ideas can transform the world by improving healthcare.

How to Use an AI-Powered Platform to Make Data-Driven Decisions

Posted on September 8, 2021August 30, 2023 by mkoftielieva

Advanced robots, self-driving cars, automated delivery bots, Internet of Things, and all the other cool and sexy tech we have today all run on some kind of an AI-powered platform. But those platforms only exist because of data. Data analytics is at the heart of AI, business, and the world as a whole today. So, if you want to get ahead, you must wield its immense power for making business decisions. However, the human brain cannot compute such enormous blocks of information. So, you’ll need to use a SaaS analytics platform to do it for you.

How to Use an AI-Powered Platform to Improve Your Decision Making

The best thing about Big Data is that it holds the answers to all your questions. Actually, it can even predict the future if used right. And that means ‘if it’s processed by an AI-powered platform geared toward predictive analysis.’

No business today can survive without data analytics. It’s because you literally can’t make decisions without the insights derived from data. You might only rely on your monthly business reports or go for a broader scope including global economic reports. But the point is that you have to make decisions based on something more concrete than your intuition. It means understanding what types of data analytics exist. And more importantly, how to use them at different stages of decision making.

Types of Data Analytics Performed by an AI-Powered Platform

Descriptive

Descriptive data analytics provides you with answers to the question “What happened?” In essence, you can use this data to understand how your business is doing. Then, depending on how deeply you analyze various processes, you can decide which areas to focus on.

There is no doubt that these insights from a basic AI-powered platform are extremely beneficial. They are especially handy when you need to identify areas where you can cut costs.

That said, descriptive analytics insights are somewhat limited. They only give you information about your past business performance and don’t consider any outside factors affecting it.

Diagnostic

Diagnostic data analytics is used to understand why something happened. Performing this analysis is the logical next step after collecting descriptive data insights. At this point, the AI-powered platform can delve deeper and understand why some of your business decisions failed or succeeded.

Bear in mind that diagnostic analytics will require a wider scope of data than your internal business reports. Also, it will be, at least somewhat, based on conjecture. It’s hardly possible to account for all potential factors that affect any business outcome. Therefore, you’ll have to accept that while highly valuable, these insights are also not absolute.

Predictive

Predictive analytics is far more advanced and requires the implementation of an AI-powered platform. Machine learning, in particular, is the basis of any successful predictive analytics. Insights derived from it allow you to see what is likely to happen shortly. Therefore, you can use them to make decisions that might propel your business forward.

This kind of prediction for future trends is most valuable for businesses that want to grow. However, any forecasts cannot be 100% accurate. There are just too many factors that are beyond your control that affect the outcome. Many of these factors are macroeconomic and volatile.

Bearing that in mind, you should use predictive analytics to develop a proactive approach to business. It can help you plan, especially for the situations that might affect you in the future. Thereby they help your business prepare for potential challenges.

Prescriptive

Prescriptive data analytics is the most advanced type, and it can provide the most valuable insights. At this state, an AI-powered platform will aim to give you guidance on what actions you can take. To get the most value from these insights, you need to have specific questions in mind. Then, analyzing your goals and data will enable the AI to determine the actions necessary to achieve your desired results. These insights are primarily based on the data obtained from predictive, descriptive, and diagnostic analyses.

However, prescriptive analytics will also use technology like simulation analysis to discover solutions to potential or current problems. Of course, these solutions are subject to the same limitations as any predictive analysis. But they are highly valuable as they enable you to reduce risks that are inherent to any business.

Implementing Insights Delivered by an AI-Powered Platform

Studying a real-life example is the best way to understand how an AI-powered platform can benefit your business. Marquètte is a piece of SaaS data analytics software developed by Devtorium and powered by proprietary AI tech. It uses a combination of data analytics methods and technology to conduct a SWOT and PESTEL analysis of any field.

On the user side, this looks like you are conducting a simple internet search. However, in reality, AI goes through huge blocks of data in order to find concrete answers to your questions. So, when it’s done its job, you get a summary that answers your question in detail and includes actionable insights. Then, as a business owner, you can put those into action right away. Thus, you ensure your company derives maximum benefit from the information.

Businesses can use the insights provided by Marquètte to:

Revamp your brand design for increased impact
Find new areas for your business to expand in
Predict challenges your company needs to prepare for
Adjust your marketing strategy for maximum efficiency
Answer any industry and niche-specific questions you have
Forecast business development when planning for the future

As you can see, an AI-powered platform is an invaluable ally for any business. So, the only question is whether you want to use an existing solution, like Marquètte, or to have custom SaaS data analytics software developed for you.

Category: AI Tech