Category Big Data, Cloud, BI

The Best IoT Temperature Sensors for Smart Homes

The Best IoT Temperature Sensors for Smart Homes

The Internet of Things (IoT) has changed our lives in extraordinary ways. A number of new IoT devices have made it easier to manage smart homes and have improved or lives.

According to Dell Technologies, there will be over 41.6 billion IoT devices online by 2025, as more people discover their benefits. More homeowners and businesses are looking for IoT devices to invest in.

A number of IoT temperature sensors have reached the market in recent years. These sensors can be great additions to smart homes, which will make it easier to manage them efficiently. T-Mobile has some information on the benefits of these devices.

What Are the Best IoT Sensors for Smart Homes?

Keeping track of the temperature on your cooling equipment and other temperature-sensitive gear is no longer a matter of placing blind trust in your thermometers. Today, you need to rely on sensitive digital sensors that can remotely monitor the temperature of your commercial and residential equipment in real time. Some of these IoT devices can even be used to program smart devices such as smart ovens.

The second the temperature drops out of its appropriate range, you will receive an instant notification over your smartphone and your laptop. This goes for reach-in coolers, walk-in fridges and freezers, prep stations, greenhouses, and more. It also goes for your home refrigerator, freezer, and heated swimming pool.   

With this in mind, what are some of the best remote temperature sensors you can invest in for your business or residence in the 2020s, and why should you spend your hard-earned money on them during a time of spiking inflation? Before we answer these questions, it might be useful to explain just what a temperature sensor is and how it’s changing both the commercial and residential cooling/heating landscape. These IoT devices offer a lot of benefits for homeowners and businesses.

According to a new report by TechCult, at the base, a WiFi or wireless temperature sensor is an electronic IoT device that is able to record and monitor temperature changes in the place where it’s installed. For instance, in both commercial enterprises and residences located in areas that have four seasons, temperature sensors are a necessity.    

They will post real-time information on your smartphone. You might be able to physically feel changes in temperature in your equipment, but without a sensor, you won’t be able to determine the correct temperature.

That said, here are some of what TechCult believes are the top temperature sensors you can purchase in the 2020s.

The Temp Stick Wireless Remote Temperature and Humidity Sensor

This IoT temperature sensor is said to be one of the most dependable, simple to use, and accurate temperature sensors. The Temp Stick is considered a high-end IoT device when it comes to both commercial and residential cooling and heating equipment. It features many nice features, including the following:

The sensor can be placed just about anywhere and is easy to set up,

You have total control over the information you want and don’t want.

Depending upon where you call home, you can calibrate your sensor to Fahrenheit or Celsius.

The Temp Stick can be temperature programmed.    

If you utilize high-quality batteries, the sensor will give you accurate information for up to a year.

Ruggedly constructed, the Temp Stick can deal with extreme temperatures of -40 to 140 degrees Fahrenheit.

Create your own hi/lo triggers depending on your needs and wants.

The system allows you to send emails and messages to as many accounts as you choose.

The SensorPush Thermometer/Hygrometer

Having been engineered to be small, the SensorPush Wireless Thermometer/Hygrometer is said to be a good choice for monitoring instrument cases, display cabinets, art storage cabinets, instrument storage cases, or any other mega-sensitive environments.

Says TechCult; its diminutive size gives it an edge over similar devices. This IoT sensor also offers the following advantages:  

Battery life can be extended well over 12 months.

While the SensorPush isn’t waterproof, under the right conditions, it can be utilized outside.   

The sensor collects data minute by minute, making it one of the more accurate real-time temperature sensors on the market.

It will save the past 20 days of temperature data on your smartphone.

It’s said to be easy to install. Download the SensorPush app and simply connect with your Bluetooth.

The range is 325 feet so long as the wireless connection is unobstructed.

The SensorPush is said to be engineered for people who don’t wish to place their hands on their hygrometer or thermometer for fear of throwing off their accuracy.     

The La Crosse Alerts Mobile 926 25101 GP

The La Crosse is said to be reasonably priced for such a reliable temperature sensor. It is also armed with new capabilities that other sensors don’t have. For example, it is capable of detecting temperature in soil and water, which makes it the perfect choice for greenhouses and swimming pools.

You can choose how often you would like to receive your real-time date based on the settings you choose. The time intervals are said to be between five and 60 minutes. It is a truly remarkable IoT temperature sensor. The La Crosse also offers the following:

If you choose to have the device deliver data less often, it will automatically save on battery life.

All it takes is three easy steps to start receiving humidity and temperature notifications on your smartphone.  

Its range is up to 200 feet, unobstructed.

Your La Crosse’s capability can be expanded by adding more sensors to cover more area and more equipment.  

La Crosse sends you emails, app notifications, and SMS texts if it detects a problem, such as a weak battery or a bad sensor.

The IoT Has Led to a New Generation of Temperature Sensors

The IoT is one of the most important technological breakthroughs of this century. It has manifested in a number of ways, including the development of remarkably useful temperature sensors that can be monitored and controlled remotely. There are a lot of great benefits of IoT temperature sensors. They can help you track temperatures remotely or even adjust settings on other devices.

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Advances in Data Analytics Key to Business Website Optimization

Advances in Data Analytics Key to Business Website Optimization

Data analytics technology has had a profound effect on the nature of customer engagement. Analytics is especially important for companies trying to optimize their online presence.

Website optimization is absolutely vital for any brand striving to do business online. According to Northern Arizona University, 88% of customers will leave a website due to a poor user experience. The expectations are higher than ever, so brands need to invest in data analytics tools to ensure a great online user experience.

Data Analytics is Vital for Providing a Great User Experience

Website optimization has been a key part of a business’s strategy since the late 1990s. Online presence has become an even more vital component since the 2020 pandemic. With so much competition online and more people using the internet than ever before, it’s vital for your company to have a strong internet presence. While simply throwing everything at the wall and hoping that some of it sticks is a tactic favored by some, you’ll find you get far more organic traffic by optimizing your site with a fine brush rather than a roller.

Data analytics technology is crucial for companies trying to optimize their online presence. Here are some of the benefits of using analytics as part of your UX strategy:

You can use data analytics to measure overall engagement with your website. Google Analytics and other data analytics tools can track how long customers spend on your site, what links they click and whether they convert.

You can also use data analytics to get a more granular understanding of different visitor demographics and traffic sources. This can help you develop custom pages with responsive content that appeal to each segment of your customer base.

Crazy Egg and similar analytics tools can track what elements of your content customers engage with.

Of course, there are two roads to consider here – hiring a professional team with SEO and UX optimization experience or learning how to do it yourself. The former can be a great option if you can afford it or, alternatively, you may decide to take out a business cash advance to fund it. But with a little time and the right knowledge, there’s no reason why you shouldn’t be able to learn how to optimize your own site. Fortunately, the process is easier than ever if you have the right tools at your disposal.

Here are some ways that you can use data analytics to better optimize your website.

Optimize for mobile

It will come as little surprise that most of us access the internet using our smartphones now. The problem is that most websites are designed to sit on a landscape screen that’s 14 inches or larger and not via touch controls.

If a customer struggles to view or navigate your site on their phone, they could very well easily leave and try a competitor with a more mobile-focused interface. Their negative experiences will also affect your rankings. The solution is to think mobile-first and design your site to work perfectly on a smartphone. Then you can think about the desktop.

The good news is that there are a lot of great data analytics tools designed for mobile UX optimization. Some of the best include UXCam, Pendio, Mixpanel, Firebase and Flurry.

Have a call to action

Every landing page on your website should have a solid call to action, which essentially means directing them to perform an action like signing up for a service, buying a product, downloading a document or contacting your company. The invitation should be obvious (form, button, link, etc.) and shouldn’t be hidden away. Make it big, clear and obvious.

Google Analytics and other analytics tools can help you determine the effectiveness of given calls-to-action. One of the best ways to use data analytics to test your CTA is to create separate landing pages with different ones and create conversion goals. This will help you see which CTAs offer the best conversion rates.

Make it relevant

Make it so that your site is easy to find – the domain name should mean something to your brand or be an exact match, if possible. You could even buy different domains that direct back to your main website to stop competitors from buying alternate domain names and confusing your potential customers.

Then there is SEO or search engine optimization. This is the practice of specifically tailoring your site so that Google and other search engines look at it more favorably when ranking it in their search engine results. This is a very deep subject and a practice that is constantly changing but it’s certainly worth investing in.

Data analytics can help boost relevance in a number of ways. You can use AI and analytics tools like Grammarly to assess the quality and readability of your content. You can also use analytics tools to find similar content to make sure that your content resonates with the expectations both search engine crawlers and users.

Contact information should be easy to find

Don’t hide your contact info under a bushel. People need to be able to contact you and your sales or support team. Without details, you can miss out on transactions, lose existing clients, and be left with poor reviews. Also, don’t be afraid to use social media to engage with customers and create a sharing platform that is more transparent and brings people to your site in a more organic way.

Data Analytics is Vital for Successful Website UX Optimization

Analytics is very important for website optimization. The aforementioned guidelines will help you leverage data analytics to create the best possible user experience.

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Cloud Technology is the New Frontier of Solana Trading

Cloud Technology is the New Frontier of Solana Trading

Cloud technology has driven a number of changes in the financial sector. Alternative financial systems such as cryptocurrency trading have also changed as a result of cloud technology. We have talked about the benefits of using the cloud to trade bitcoins in developing economies like Algeria. However, it can be even more useful for trading newer currencies.

The cloud might help some of the newer cryptocurrencies achieve relevance. Nate Nead wrote an interesting post in stating that cloud computing is the next frontier of cryptocurrency. He mostly focused on the benefits of using the cloud for bitcoin, but it could also be useful for other cryptocurrencies such as Solana.

Cloud Technology Could Help Make Solana a More Viable Cryptocurrency

The most popular Ethereum blockchain was actively used for development and deployment of decentralized apps and smart contracts on the top of it. Over time, the network has become too overloaded with projects running on it, which led to increased fees and reduced throughput. That was when other crypto projects emerged and tried to surpass the Ethereum network with better throughput, faster transactions, and minimal fees. One such successful Ethereum competitor was Solana. It is one of the most popular blockchains where developers massively deploy their products, NFT projects, blockchain games, decentralized apps, etc. SOL is the native coin of the Solana network, and it is traded on all large platforms, so you can buy Solana crypto using any crypto exchange. The Solana price today (November 15, 2022) is $14,59.

Cloud technology is making Solana a more popular cryptocurrency than ever. A growing number of investors are using cloud-based cryptocurrency trading platforms to buy and sell Solana coins.

Cloud technology can also help with mining Solana. You can learn more about cloud cryptocurrency mining in this article by Jake Frankenfield.

Based on the asset’s price chart, experts have made the SOL price prediction, stating that the coin can reach $18 – 22 in 2023. So it is definitely worth buying some coins and holding them until the market trend changes in the future. Now let’s see where you can do this by leveraging cloud-based Solana trading platforms.

Where to Buy Solana on the Cloud?

You can use the WhiteBIT platform to check the Solana live price and buy this asset. According to Capterra, this is a cloud-based trading platform, which means you will get timely access and reliable support.

Why is WhiteBIT the best platform for buying Solana? Because it is an officially operating exchange providing clients safety and all possible trading tools, there are over 400 pairs to trade. Users who have passed verification have no limits on money withdrawal and access to various trading tools and financial instruments.

Besides, on WhiteBIT, you can buy Solana coins directly from your bank card. This option is obviously accessible for verified clients. The process of verification lasts for a couple of days.

To buy SOL on this cloud-based trading platform, follow the steps:

Register an account

Pass KYC

Add your bank card 

Deposit the amount of money you want to spend on buying SOL

Pick SOL and fiat currency you have 

See the Solana live price 

See the fee

Pay the fee

Receive SOL to hour account.

Learn more about trading and the preferences of the Solana blockchain on the WhiteBIT blog.

Cloud Technology Helps Solana Traders

Solana is an up and coming cryptocurrency that has attracted a lot of support among investors. Cloud technology has made it easier to trade Solana, which is helping make the cryptocurrency more attractive.

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Accessible Business Analytics Set to Be a Boon for Small Businesses

Accessible Business Analytics Set to Be a Boon for Small Businesses

It’s hard to overestimate the value that data insights have come to represent to today’s businesses. Investments in analytics tech have risen commensurately, with some 73 percent of respondents telling IDC that they expect to spend more on data-focused software than any other category in 2023.

While emphasizing data analytics has become the standard for the business community as a whole, smaller teams are often the exception. Small business owners are still prone to see business intelligence as a luxury that they can’t afford, as it requires employing data specialists to manage dedicated data repositories, data consolidation and ongoing coded queries – all of which is a non-starter for organizations where each team member is required to wear so many hats.

There are encouraging signs, however, that this sentiment is on its way out, and with a recession looming, small business leaders are going to need data insights to help optimize their strategies.

Many specialized data tools are now available as self-service web apps, making enterprise-grade data software more affordable and circumventing the need for dedicated servers. The expertise barriers have also been lowered, with onboarding rendered simple and quick – today, even non-data experts can set themselves up and make data-based strategic decisions on an ongoing basis.

With a better understanding of what the advantages analytics bring, small business owners are finally getting started with business intelligence.

Consolidating Information

Analytics gives business owners an accurate picture of the state of their ventures. Fortunately, businesses are likely already gathering data from the various business apps they use. All this information can be imported to analytics tools for processing.

Modern business intelligence platforms can integrate with hundreds of data sources like marketing communication tools, ecommerce platforms and payment providers to create this holistic picture. Business leaders can then consolidate whatever performance metrics matter most to them into dedicated interactive dashboards and dynamic reports.

Businesses that use cross-functional management suites can also explore their built-in analytics tools. Business management app vcita, which allows small teams to handle client relationship management, payment collection, appointment booking and marketing activity under one platform, uses Google’s Looker BI software to generate reports from specific operational areas that already flow through the app.

For example, a service business owner can examine their appointment conversion data to check which services are the most popular or how many customers follow through with each booking. By analyzing these specific areas of the business, entrepreneurs can readily spot issues and implement improvements.

Visualizing Trends and Extrapolating Predictions

Traditionally, it takes a certain level of specialized expertise and experience to make sense of raw numbers. What makes analytics accessible to most people is visualization. Modern tools can readily create charts and graphs to help users spot trends from their data.

The only thing that small business owners have to do is integrate their apps with visualization tools. The cloud version of Tableau, for instance, allows non-technical team members to use native “connectors” to import data sources like Salesforce, QuickBooks and Amazon Seller Central, helping merchants visualize data based on historical sales figures.

By plotting line charts of monthly sales for products, it’s possible to identify peak seasons and top-performing items. These insights can then be used as the basis for promotions and marketing campaigns.

Analytics can also be predictive. Through machine learning, even basic tools can crunch historical data and provide predictions readily. Combined with visualization, analytics can help owners of even the smallest businesses to plan for the immediate future, like increasing inventory to prevent stockouts during peak sales.

Performing Analysis in Natural Language

Analytics platforms are constantly innovating to further lower barriers to entry. Developers use effective usability design and artificial intelligence so that non-experts can perform data analysis capably.

By applying artificial intelligence, platforms can allow users to use natural language to interact with analytics platforms. Intelligence platform Phrazor, for example, allows for queries to be phrased using simple questions. Keying in a question such as, “Why did my sales grow in the last six months?” can bring up sales data within the period and the possible answers to the query.

Inversely, natural language report generation is now also emerging as a standard. Alongside visualizations, reports with accompanying insights can be generated in natural language, allowing less data-savvy business owners to create easily understood reports quickly.

Making Key Decisions Using Data

According to the Small Business Administration, about two-thirds of new businesses survive in their first two years. Armed with a clear picture of the states of their companies, entrepreneurs can quickly pinpoint whether they are poised for survival or growth. They can decide which business areas to focus on to improve their standing or pivot their business if necessary.

Through analytics, business owners can base their decisions on solid information – or, at the least, validate their intuition.

While today’s business environment is volatile to say the least, specific sectors and niches are still projected to be growth industries, providing opportunities to smarter owners of small businesses. Through business analytics, small businesses can create viable strategies to navigate their respective markets and position themselves to thrive and succeed.

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Intellectual Property Law Becomes Murkier As More Creations Are Created with AI

Intellectual Property Law Becomes Murkier As More Creations Are Created with AI

Last September, various news outlets picked up the story of an AI-generated painting taking first place at the Colorado State Fair’s art contest. To create the winning piece, the contestant entered some text into Midjourney, an online app that creates images based on text input. The result is a piece called ‘Théâtre D’opéra Spatial,’ one of the first AI-generated images to win an art contest.

While the blue-ribbon finish is a milestone-worthy achievement in AI technology, not everyone is happy. Some artists have accused him of cheating, even though the contest didn’t explicitly prohibit AI-generated imagery. Others were understandably worried that they might lose their artistic jobs to robots in the future—‘the death of artistry,’ they commented.

But this story spurs another problem. Who can be the legitimate owner of creations that anyone can create using such programs? Is the practice considered plagiarism? As it stands, intellectual property law is partly prepared to tackle this.

How AI Generation Works

Ahmed Elgammal, director of Rutgers Art and Artificial Intelligence Laboratory, explains in his article published in American Scientist that these programs employ one of two algorithm classes. The majority of these programs use generative adversarial networks (GAN).

Contrary to popular belief, some human input is still necessary for running these programs, and GAN is proof of that. The user feeds the algorithm hundreds of pictures, and the algorithm tries to imitate them as best it can. Then, the user goes through the generated images, tweaking the algorithm based on the ones they deem acceptable.

The later iteration is the artificial intelligence creative adversarial network (AICAN), which the laboratory has been developing since 2017. It takes human input out of the equation, forcing the AI to learn through the images fed to it alone. AICAN’s results have surprised researchers, as they were so accurate that people couldn’t tell that AI made it.

The Ownership Dilemma

In both GAN and AICAN, Elgammal presents an interesting thought. When his team exhibited AICAN’s works throughout the United States, people constantly asked for the artist’s name. He stressed that while he developed the algorithm, he didn’t have control over what it would do. In this instance, is the rightful artist the algorithm itself or its creator?

It wasn’t this complicated before, as the human artist would be credited even if they used tools like paintbrushes or even Photoshop. After all, these tools could only act with direct input from the user. But with AI generation, AI can make decisions regardless of human input.

Amid the lack of a clear answer to this dilemma, other AI generation programs have made steps to allow their outputs to be used for commercial purposes. OpenAI went down this route with its DALL-E 2 system, as per its announcement last July, coinciding with the creation of paid plans. 

The proliferation of AI-generated creations—not just images—will profoundly affect copyright and trademark application processes. Since applying for a trademark involves searching for any conflicting application, the likelihood of stumbling upon one can increase. Businesses might get stuck in needless intellectual property conflicts—a ‘legal minefield,’ as legal experts say.

The Law As It Stands

The legal implications of AI-generated creations are slowly inspiring actions. Following the case of ‘A Recent Entrance to Paradise,’ another AI-generated work, the U.S. Copyright Office said last February that such works aren’t eligible for copyright due to the lack of human authorship. The program responsible, Creativity Machine, created it with virtually no human input.

Then, in September, media repository Getty Images followed the example of some websites by banning AI-generated content. Its official statement stated concerns with the copyright status of such works and unaddressed relevant issues as the reasons for the move. Other similar websites have done so mainly in support of human-based creativity.

In spite of these developments, some blanks in the relevant legalese have yet to be filled, namely on the matter of fair use. According to an article published in the Texas Law Review, there’s no law upholding fair use of training datasets at the moment.

As mentioned earlier, AI generation programs rely on inputted data—such as publicly available images—to produce results. AICAN was fed around 80,000 works that have embodied Western art for the past 500 years. Most of these, if not all, were made with human hands, but there’s a good chance that some have copyright protection.

Legal experts ponder the implications of AI-generated work that uses copyrighted training data. Not only is it ineligible in the eyes of the U.S. Copyright Office, but it also raises the question if it’s considered plagiarism. Is it plagiarism if a user takes credit for an AI-generated creation? Is the program committing plagiarism if it takes copyrighted work?

The AI generation programs’ developers are cautious about guarantees. According to DALL-E’s Terms of Use, the program doesn’t guarantee that it’ll work as the user intended. Others, like Midjourney, are reluctant to provide legal assistance if the work gets involved in legal trouble.

Current Legal Options

Experts say it’s highly likely that the ambiguity regarding AI-generated content will remain in the following years. According to the World Intellectual Property Organization (WIPO), as it stands, the world currently has two legal options to rely on.

The first is, as demonstrated by the U.S. Copyright Office’s decision, to deny copyright to all non-human-generated content. Apart from the U.S., authorities in Australia and the European Union have settled similar cases by rejecting copyright applications on the grounds of works not being entirely made by human hands.

The second is to credit the creator for any work generated by any AI programs. This option is evident in the United Kingdom, as stated in Section 9(3) of the Copyright, Designs and Patents Act 1988, which not only gives credit to the human creator but also grants the work copyright protection. Other countries that have taken this approach include India, Ireland, and New Zealand.


Intellectual property law will struggle to catch up with the proliferation of AI-generated creations in the digital age. WIPO asserts that as the technology behind the programs evolves, the fine line between human-made and AI-generated art will blur. A time will come when distinguishing the two will be practically impossible, for which the law might not have an answer.

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What Data Scientists Must Know About Italy’s Tech Credentials

What Data Scientists Must Know About Italy’s Tech Credentials

The demand for AI and data science professionals is growing all over the world. Many data scientists are pursuing careers in Europe and Asian, which means that they have to be aware of the opportunities and requirements abroad.

Italy is one of the most promising countries for people seeking careers in data science. Italian employers spent $78.3 billion on big data last year. This figure is expected to grow as more companies discover the benefits of investing in big data and AI.

However, Italy also requires data scientists and AI programmers to possess the right credentials to seek employment. You will need to make sure you are familiar with them before you can get a job as a data scientist.

Italy is Home to a Growing Market for Data Scientists

As the global financial situation becomes increasingly concerning, many businesses are turning to technology to shore up their foundations. Small businesses are using data analytics tools to cut their expenditure, while some large firms are exploring international options when it comes to tech innovation.

One of the newest arrivals on the scene, with a multi-city tech ecosystem that is just beginning to come of age, is Italy. Its cities do not yet have the long-term tech credentials of established centers such as London, where tech companies raised $18.4 billion in 2021, or Berlin or Paris. However, a number of Italian cities are growing fast in terms of their tech scenes.

At present, Italy’s tech scene is on a par with Latvia’s in terms of its development. It has attracted some of the best data scientists in the world. Both countries have nurtured their first unicorn during 2022. Latvia’s was print-on-demand group Printful, which raised $130 million, while Italy’s was fintech start-up Scalapay, which raised $497 million in Series B funding. In total, investments in tech start-ups in Italy equated to around €1.4 billion in 2021.

Home-grown talent

When it comes to tech talent, Italy is punching well above its weight. Some 12% of Europe’s top tier AI researchers come from Italy, despite the fact that Italy accounts for just 8% (approximately) of Europe’s population. The country is also home to some of the best data scientists in Europe. The country is attracting an increasing amount of venture capital funding to its tech scene and has begun capturing the attention of the international community.

Rome (Italy’s capital) and Milan (the country’s financial center) have rapidly established their tech scenes in recent years. They have invested heavily in big data, as they try to find new ways to scale economic growth and boost technological progress. Milan is currently developing an entire tech district, with not just workspaces but also a start-up accelerator and research labs. Padua, in the northern Veneto region, meanwhile, is the latest newcomer. This city is a semi-finalist in the European Rising Innovative city category of the European Capital of Innovation Awards (iCapital) 2022.

Tapping into Italy’s Tech Scene to Discover Qualified Data Scientists

If your business is one of those drawn to Italy’s blossoming tech scene to find some talented data scientists or AI programmers, it’s time to take on board some tips around language and culture. Italian workers are known for putting in long hours and for being both focused and productive at work. They also value the social side of business interactions, developing personal connections within the hierarchical framework that still typifies much of Italian working life (though Italy, like many other countries, is seeing its rising tech entrepreneurs take a less formal approach to working life).

In language terms, any business looking to get involved in Italy’s tech scene will do well to partner with an Italian translator that they can rely on. English to Italian translation (and vice versa) will be a regular, ongoing requirement. What is the best Italian translator? It is a service that delivers tech expertise alongside Italian translation. Translating tech documents requires technical knowledge. According to language services provider Tomedes, whose native Italian translators have translated thousands of documents for official and professional use, that means sourcing an Italian translator with relevant experience who understands technical language and concepts, as well as the particular nuances of the Italian tech scene.

Tomedes’ highly tech-savvy, tech-driven translation expertise has satisfied many clients over the past 15 years, including major players in digital industries, such as Amazon, Microsoft and Google. Key to its service delivery is an in depth understanding of the Italian language, including those words such as gattara and abbiocco, which have no direct translation in English (the former is a woman who takes care of stray cats; the latter a sudden desire to sleep after a hearty meal). The company has used some of the most sophisticated big data tools to expedite its service delivery.

How do I choose a good translation service? Firstly, keep those technical requirements front of mind. Next, ask the agency who it is that will translate Italian for you. It should always be native speakers of the target language – so if you need English to Italian translation, it should be native Italian speakers delivering your documents. Likewise, if you need an Italian to English translation service, it should be native English speakers who undertake the work. They have a number of AI and big data algorithms that make the job go by more quickly.

It’s also important to look for a translation service with experience of business and marketing translation. Your Italian translation needs likely won’t relate solely to technical documentation. Instead, you will need to connect with other businesses, working out supply chain logistics, manufacturing deals and more. You will also need to market and/or advertise your products, whether through social media, content marketing, pay-per-click advertising or myriad other channels. It’s likely you’ll need legal translation at some point too – particularly around contract law or employment law – so be sure to factor that into you plans.

For each of these tasks, you will need not just a qualified linguist, but an Italian translator with relevant experience. So, when you’re choosing a translation service, be sure to grill the agencies you speak to on the breadth of their experience, not just their language expertise.

Given the explosion of interest in Italy’s tech scene over the course of 2022, the stage has been set for the country to achieve big things in 2023 and beyond. It’s the ideal time for forward-thinking businesses to engage with the Italian tech marketplace and be a part of the country’s future. The fact that the Italian Ministry of Economic Development began awarding €45 million worth of funding in September 2022 for certain blockchain projects, of course, may also be a powerful reason for your business to set its sights on a future venture in Italy.

Data Scientists and AI Programmers Are Discovering New Opportunities in Italy

Italy is home to a thriving tech sector, which has attracted countless data scientists in recent years. Anyone in this profession should consider relocating to this Mediterranean country. However, they must be familiar with the credential requirements first.

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Machine Learning is Invaluable for Mobile App Testing Automation

Machine Learning is Invaluable for Mobile App Testing Automation

Machine learning technology has transformed countless fields in recent years. One of the professions affected the most by advances in machine learning is mobile app development. The market for mobile artificial intelligence is projected to be worth nearly $9.7 billion within the next five years, since machine learning helps developers create powerful new apps.

We have talked extensively about some of the benefits of AI and machine learning in mobile app development in previous blog posts. However, one of the benefits that we haven’t talked as much about is the application of machine learning for testing new apps during the design process. Apps need to be carefully tested, so it is important to use the right strategies to do so.

App developers can find novel ways to use machine learning to automate the testing process. This can reduce the costs of app development and help them spend more time on other essential tasks.

Machine Learning Enables App Developers to Automate Essential Processes Like Testing

In the past, mobile applications were much more straightforward and had fewer features than the mobile apps we know today. As the features increased and the functions of the apps became more intricate and complex, the app testing process required adaptation to meet the requirements of the modern applications.

Testing of applications nowadays can be done manually or automatically, but in the past manual testing was the only way. As the features of the apps increased and became more enhanced, manual testing became extremely timeous and difficult. This is one of the main reasons app developers use AI and machine learning.

This is where automated mobile app testing became the way to go for modern apps with more features and capabilities and only 13% of app developers reported that they only use manual testing. App developers use test automation to enhance app testing processes and to simplify the entire testing process.

Companies like HotShots Labs use automation testing tools for all the mobile applications that we develop to ensure we provide the highest quality applications to our clients. They are able to accomplish this process with the use of advanced machine learning algorithms. Machine learning has helped them streamline the process considerably.

1.      What Is Automated Mobile App Testing?

Automated mobile app testing refers to the evaluation process that mobile app developers should run through for each application that they develop to ensure the mobile apps perform correctly before publishing. The process relies on advanced machine learning algorithms that help make the process go more smoothly and rapidly.

There are various test automation frameworks that developers can choose from to find the perfect mobile testing framework for their specific application and to evaluate how it will operate on different mobile devices and on different operating systems such as Android and iOS.

How do testing tools that use machine learning work? Mobile app testing tools are used to run through the entire operation process of the application using a test script as if it were a user operating the application. In this way errors and bugs are picked up, and can be fixed or updated to ensure efficient operation of the mobile app.

The testing tools run through different test scenarios and test cases to detect any errors that might be in the development code of the mobile application, and therefore these automation testing tools are extremely beneficial and developers, therefore, rely heavily on automatic mobile testing.

2.      7 Benefits of Automating Mobile App Testing with Machine Learning

There are a number of reasons that app developers may want to use machine learning technology to automate the testing process. Some of the biggest benefits are listed below.

Enhance Publishing Timeframes:

repetitive operations are automated throughout the mobile app testing process, saving a lot of time, and accelerating the test execution process.

Enhance Application Functionality:

Automated mobile app testing thoroughly validates app functionality and makes sure there are no faults or flaws that might affect it. Thus, it allows mobile apps to operate efficiently.

Enhance App Security:

Security flaws in mobile apps can result in the theft of client information and reputational damage to enterprises. Security flaws in a mobile app can be easily spotted and fixed by using the right mobile app testing strategy and mobile automation framework.

Improved Application Performance:

Several performance tests are done during automated mobile app testing to make sure there are no performance holdups in an application and that it functions properly under all user loads.

Boosts App Loading Speed:

Mobile app developers must offer quicker loading times for both Android and iOS apps since slow mobile app loading speeds negatively affect user experience. By eradicating flaws from the app, automated mobile app testing provides a quicker download time.

App Multiple Platform Compatibility Verification: 

This ensures that the mobile apps are compatible with multiple operating platforms and software to boost user experience. App integration tests are also run to ensure sufficient performance.

Boosts Cost and Time Efficiency: Test automation of mobile applications protects brands from abrupt app failures or crashes, saving enterprises a significant amount of money and preserving their good name. Automated testing also ensures that testers do not have to allocate their time towards tedious and repetitive duties. It also guarantees that tests are run faster.

3.      How to Use Machine Learning to Automate Mobile App Testing

Here are a few things that you need to do when you are trying to automate the mobile app testing process with machine learning technology. You want to follow these steps carefully.

Establish Automation Test Plan

This step is completed by developers by creating a plan on which devices will be used in the testing phase and what specifications the devices should have. This plan will also include the type of testing that will be conducted and will be detailed at a later stage in the testing process.

Create Test Scripts and Test Cases

This is a crucial step as this will set out the exact functionalities and operations that the test should focus on. These scripts and cases can be used multiple times for different testing operations as it is a base followed by developers in the testing process.

Establish Mobile App Test Setting

In this step developers need to install the application that needs to be tested on the right devices, and developers should ensure that testing data can be monitored and revisited for enhancement and amendment purposes.

Proceed with Testing

In this step the developer will action the testing process through the automated testing framework. The mobile app test automation framework and tools will then perform the tests based on the type of testing required as stated in the first step. These types of tests can include Functional testing, Continues Testing, Usability testing, UI testing, User acceptance testing, Performance and load testing, Security testing, Accessibility testing, and Digital testing.

Use Machine Learning to Automate Mobile App Testing Strategically

There are many benefits of using machine learning in the mobile app development process. One of the top benefits is that it can help automate testing. Automated mobile application testing provides numerous benefits and if the testing done correctly and the right steps are followed, at the end of the automated mobile app testing process you should have an app that performs effectively and will therefore be ready for the big launch.

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Is Artificial Intelligence Setting A New Standard For Web Design?

Is Artificial Intelligence Setting A New Standard For Web Design?

Artificial intelligence is playing an important role in modern creative professions. There are a lot of reasons a growing number of companies are turning to AI technology. One poll showed that 61% of companies found that AI and machine learning were their best data investments.

One of the industries that is evolving by adopting new AI tools in web design.

Here is a fact that you should consider. According to content marketing statistics, 32% of marketers say visual images are the most important form of content for their business, which is probably why you’re here. AI is crucial to helping these companies use these new images.

How AI is Changing the Nature of Web Design

Mirza Irfan of Usability Geek discussed some of the benefits of AI in web design. These benefits include improving UX and creating ADI (artificial design intelligence) solutions).

If you’re a web designer or web developer, your job is to work to make a website functional and attractive. You must consider the user experience (UX) every step of the way.

If you are not sure where to start when creating awesome eye-catching visuals for your digital marketing, then you should keep reading. You will find out why AI is helping companies meet these standards.

The best way is to synthesize all that information down to these four basic design principles:





These principles predate the existence of AI. However, AI is helping designers reach them more effectively.

These concepts do not just apply to web design and UX, but rather anything you want to make look smooth, clear, and eye-catching (i.e. graphics, blog articles, and Facebook ads).

By the end of this article, your site will have an ace up its sleeve in design. You’ll have a secret hand to trounce the visual competition by providing you with effective principles to enhance your visual content.

The Three Stages of Design with AI: A Formula for Visual Success

When figuring out the visual design of a website and the ways to leverage AI to achieve it, the design process can be broken up into three parts:

Target Research: Researching and thinking about the target audience.

Strategic Goals: Understanding the company goals and how the goals impact the user.

Creative Design: Applying creative design thinking to develop a smooth and enjoyable end-user experience.

What Does It Take to Master the Principles of Design in the Age of AI?

The short answer? Not as much as you think!

You will find that there are a number of new AI tools that simplify the process. This helps reduce the need to be a skilled designer. The AI algorithms can do a lot of the heavy lifting for you.

Web designers often have a background in graphic design, art, advertising, or another creative discipline. But AI is becoming a more important competency.

However, as marketing teams become smaller, professionals of different backgrounds have had to take over the responsibilities of graphic designers. They use easy design tools online like Canva and Visme to create custom graphics.

Trained web designers or creative marketers alike should always focus on the actual needs of the people you are designing for, a.k.a. be human-centric in your website design.

This makes for a simple and enjoyable user experience.

4 Basic Visual Design Principles

Here’s where we get to the juicy material: contrast, repetition, alignment, proximity. These 4 basic design principles will make sure your content has good UX, no matter the graphic. Your website will be visually stimulating to visitors and leave a memorable, positive impression.

1. Contrast

Contrary to popular belief, web designers can contrast more than colors. This includes:

Shading: Light vs. Dark

Size: Big vs. Small

Patterns: Solid vs. Ornamental

Fonts: Serif vs. Sans serif

Color: Complementaries, Adjacents, Triads

Themes: Symmetry vs. Asymmetry

Texture: Rough vs. Smooth

Check out the example below to see how the contrast between light and dark is used to draw attention to the form fields in a website popup:

Here’s my number one suggestion for employing contrast:

Establish a brand color palette carefully and early.

Browsing existing color palettes on Adobe Color is extraordinarily helpful. You can determine specific hex codes, proper combinations, etc. You can even use the Adobe Color software to dissect the exact colors inside existing images if you found a color online that you are dying to have!

The image above is a user experience example of contrasting colors to guide readers’ eyes where the designer wants them to go.

What are the first things your eye catches? Is it first the image, then the heading, and then the button?

If so, the Taab web designer who created this was successful.

2. Repetition

Repetition is an important element of web design that automates the user experience. It makes going through your webpage faster and easier because users do not have to constantly go back to get to a different page. For example, a web designer should always include the main menu for a website on every page to allow the user easy access to all pages on the website.

Backtracking runs the risk of losing visitors and having them click off their page due to complexity or laziness.

Always make the user experience and simple and smooth as possible!

In addition, visual repetition also contributes to:




In psychology, the fact that our brains rarely need to hear the whole message before putting the pieces together is called heuristics. Repetition contributes to this phenomenon by calling on a user’s memory to fill in the missing parts.

In other words, the user knows what to expect. Repeating elements contribute to building the big picture a lot faster. Your user will be able to understand a graphic or navigate a website if they’ve been exposed to a similar design or pattern for that content.

Keep consistency throughout your website to maximize the user experience. If the menu bar is on the top-right corner of one page, make sure it is in the same spot on every other page.

Design aspects you can repeat:

Logos (make sure to choose the right file type for this, weighing up vector vs raster graphics)



3. Alignment

Alignment is not just good for your back, it is good for your UX design!

That’s because alignment accomplishes the following:

Sets a hierarchy

Makes your design orderly

Adds a sense of professionalism

Alignment is one of the most vital design principles for beginners and the top tool for effective alignment is grids. Grids work very well in helping web designers maintain spacing between objects so as to not overwhelm the user with too many elements on a page.

Check out the example below for an example of how a web designer can use grids to organize the layout of a webpage:

Without alignment, your website can look unprofessional and lack order. It runs the risk of looking amateur and unattractive. Equally bad, your users will be confused and click off the page.

You want your website to be cohesive and for all of the elements (buttons, text, graphics, etc.) to be aligned neatly and consistently.

Horizontal alignment includes:

Flush-left (also called left-justified or ragged right)

Flush-right (also called right-justified or ragged left)


Fully justified

With vertical alignment, elements can be aligned vertically, which includes top, bottom, or middle (center).

Here’s a PRO TIP:

Ignore the little voice inside telling you that you can fit just one more thing and go for a “clean” design!

Design aspects you can align:




Rows and columns

Buttons and icons



4. Proximity

Last, but not least, we have proximity. Here’s a breakdown of what proximity does:

Connects Elements: Objects that are closer together are more likely to go together in the user’s mind.

Finishes Ideas: Using heuristics in proximity lets the design fill in the blanks for a reader.

Accelerates Understanding: Design elements that are close together speed up the comprehension of the reader.

Interestingly, the design principle pf proximity is relatively unknown compared to big-name principles like contrast.

Of course, these ideas are meant to be used in conjunction, but if you absolutely had no way of employing contrast, you could still get your point across with the principle of proximity.

Often, proximity is best combined with repetition to form consistent spacing between particular sets of elements.

If you need help planning out the structure of your design, you could use the golden ratio, which leverages proximity to maintain balance.

Here’s an example of the golden ratio at work:

AI is Changing the Nature of Web Design

AI is changing the role of web design in crucial ways. It couldn’t have come at a better time, because having a user-friendly website is more crucial than ever. You need to ensure your business gets the attention it needs. Keep visitors on your page by incorporating these design tips in every aspect of your website. By employing contrast, repetition, alignment, and proximity into the user interface, yourself, web designers and developers will be able to increase the user experience and ultimately drive conversions on your website.

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AI Can Amplify Benefits and Temper Risks of Bitcoin Investing

AI Can Amplify Benefits and Temper Risks of Bitcoin Investing

AI technology has been invaluable to the financial industry. The amount of money that fintech companies are spending on AI is projected to grow by 16.5% a year from 2022 and 2030.

AI is changing the alternative financial sector as well. For example, many bitcoin investors are finding creative ways to use AI to improve their trading strategies. In fact, AI has played a key role in the growth of bitcoin popularity.

What Are Some Ways that You Can Use AI in Your Bitcoin Trading Strategy?

There are a number of ways that you can use AI technology to improve your bitcoin investing strategy. Here are some ideas.

Use AI to Automate Your Trading Strategy

One of the biggest benefits of AI is that it can automate your bitcoin trading strategy. AI-driven trading systems like Immediate Edge have made trading easier than ever. As we stated before, AI-based bitcoin trading can disrupt the bitcoin market.

AI-based trading systems help you take advantage of the volatility of the cryptocurrency market and make large amounts of profit. The software uses multiple market parameters and critical market data to break down and analyze market movements. AI-driven bitcoin trading application can perform all the heavy lifting for you, from speculating on market fluctuations to taking out profitable trades and executing them.

You don’t have to do anything because all the work will be done by the system itself. Just sit back and enjoy or monitor your profits. The algorithm technology has great accuracy in detecting market rates to give you peace of mind for investing. This bitcoin robot provides the same opportunities to both experienced and inexperienced.

The process is very simple, the software buys the most active cryptocurrency of each moment and sells it when it increases in value. Before selling an asset, the algorithm takes into consideration the price of that asset on all cryptocurrency exchanges and sells it on that exchange where its price is higher.

Predict Price Movements with Predictive Analytics

AI has also led to the inception of predictive analytics technology, which can also help bitcoin investors. Predictive analytics algorithms are able to evaluate a number of different variables and identify future price movements. This can help you take advantage of market inefficiencies.

Since bitcoin is a much less efficient market than stocks and bonds, it is a lot easier to exploit new information to make a profit. AI-driven technology can help if you are willing to invest in predictive analytics.

What Are the Benefits of Using AI as a Bitcoin Investor?

There are plenty of different reasons you may want to consider investing in Bitcoin. These benefits will be even more significant if you are willing to invest in AI technology to support your bitcoin trading strategy. Some of the arguments for buying Bitcoin are listed below.

Inflationary Hedge

One of the main reasons to consider buying Bitcoin has to do with there being a finite number of Bitcoin out there. Whether fiat currency always has an inflationary risk because more can always be printed. Monetary and fiscal policy can drive the overall value of the dollar to decrease. You can boost your returns even more by using AI, which makes it an even better inflationary hedge.

Limited Supply

Bitcoin will never have this inherent risk attached to it. There are only 21 million bitcoins and as many as 3.7 have been likely permanently lost. As a result, there’s only going to be 17.3 in circulation at any given time.

Transactional Usage

AI isn’t the only new technology that is helping with bitcoin trading. Blockchain is also extremely important for cryptocurrency investors.

There is a lot of hope that one day Bitcoins will be used for transactions on a wide scale. As Bitcoin gets increasingly mainstream, it can be used for more and more transactions whether you are paying for a movie ticket or something else. It’s getting more mainstream attention as you’ll find it showing up on popular and widely used financial sites alongside the stock market and precious metals.

Bitcoin is inherently more secure because of its blockchain technology. The blockchain technology used in Bitcoin is completely decentralized. Thus, it makes for a much more secure way to complete transactions. This also allows for transactions to go smoother without middleman interference and fees being imposed.

Digital Gold

There is a lot to like about Bitcoin having a finite supply. Because of this, it’s been seen as the digital version of gold. Being compared to gold is always a plus because gold has been a tremendously stable store of value dating back to 550 B.C. While Bitcoin is relatively new in comparison, it’s much easier to use in day-to-day transactions than gold has ever been with the use of a crypto trading app.

As you can see, there are plenty of strong arguments as to why Bitcoin could be a good investment decision. However, there are equally as many reasons not to buy Bitcoin and these arguments could be considered even stronger. These include:

Bitcoin Is Overbought

One of the things you don’t want to do is buy at the peak of bull markets. Bitcoin is up a lot over the past 5 years or so. Because of this, you could be buying way too high which can expose you to a lot of unnecessary risks. Since May 19, 2020 Bitcoin is up 7,876%.

You will want to use AI-driven trading strategies to better anticipate future price movements, so you can purchase at the right time.

The Risk to Reward Is Skewed

One of the biggest reasons to avoid buying Bitcoin right now is because it’s priced too high that the risk-to-reward ratio is skewed. Bitcoin cannot continue to surge in value as it has in the previous 5 years. While it’s impossible to predict the price movement of any asset, it’s reasonable to expect Bitcoin’s value to not continue going up in a straight line. If it continued to grow as it did in the previous 5 years, it would put the total value of Bitcoin at $88 trillion in only 5 more years. This is nearly impossible to think about considering that’s over 4 times the USA’s Gross Domestic Product for the year 2020. It’s simply not going to happen and the mania days resulting in exponential growth are likely over.

There’s More Competition

In the earlier days, Bitcoin was one of the only cryptocurrencies out there generating a lot of appeal among investors. Nowadays, you will find a lot of cryptocurrencies available and there are limited barriers to entry for making new ones. This has led to the entire market being flooded with cryptocurrencies. For instance, Dogecoin was created as a meme and it achieved a $43 billion valuation as of May 18. Ethereum is another that has a value nearing half of what Bitcoin is worth. And Ethereum utilizes a similar decentralized payment network and has other applications like smart contracts that make it highly intriguing.

The Crackdown Could Happen At Any Moment

Global governments can crack down on the cryptocurrency market at any time. It’s an unregulated space. A lot of governments could eventually ban cryptocurrencies. The crypto space already has the IRS’ attention.

Hyperinflation Fears Have Always Been There

There’s always been this talk about hyperinflation and about how the value of the dollar is going to tank and plummet. However, to this point, it has never occurred. A lot of people have been investing in precious metals like gold because of this with minimal returns.

The Volatility

Bitcoin is easily one of the most violative assets out there. Bitcoin can make the stock market look stable with how volatile it is. Cryptocurrency is a pure speculation play at this point and not many people want to put their money into something that carries so much risk.

AI Technology is Changing the Future of Bitcoin Trading

A growing number of bitcoin investors are taking advantage of the benefits of AI technology to improve their strategies. AI-driven trading can help bitcoin investors boost profitability considerably.

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Why Big Data Is The Future Of Sales And Marketing

Why Big Data Is The Future Of Sales And Marketing

Proper marketing and sales prospects play a huge role in improving the success rate of your business. The strategy can either be offline or digital. However, digital marketing has become the major focus of marketers across all industries, mainly due to how customers interact and engage with modern businesses. 

Seeing an opportunity and knowing how and when to take advantage of it defines the majority of where today’s marketers stand. To develop effective and optimized strategies in this ever-changing marketplace, a smart marketer needs to know how to leverage technology. Enter Big Data. Although big data isn’t a new concept, it has become a sought-after technology in the last few years.  

The following blog discusses what you need to know about big data. You’ll learn what big data is, how it can affect your marketing and sales strategy, and more. Keep reading. 

What Is Big Data?

Big data refers to an extremely large volume of data sets, including structured and unstructured data from several sources. The big data is so vast that it’s hard for outdated data processing techniques to capture, manage or process the data sets. However, with the right software, it’ll be easier to process the data sets, addressing previously inaccessible business problems. 

Basically, big data has three characteristics: variety, volume, and velocity. In other words, the data sets contain great variety, coming in increasing volumes with high velocity. The data sets can come from publicly accessible sources such as the cloud, social media, and sites.

A business can utilize the data sets to access customer details such as likes, interests, purchase history, and more. Examining this crucial data makes it easier to develop personalized techniques to improve your marketing effort. 

Also, if you’re dealing with other businesses, you can employ big data analytics tools to examine b2b data and find out information such as hidden patterns, market trends, and more. Hence, you’ll develop a marketing effort that beats the competition, improving your future sales and brand awareness. 

How Can Big Data Revolutionize Future Marketing And Sales?

The following are the reason why big data is the future of marketing and sales. They include:  

Better Insights 

This is one of the ways big data can revolutionize future marketing and sales. Developing deeper insights into your target audience can take time and effort for most businesses. The concept of knowing your customer (KYC) was initially used by financial institutions to prevent bank fraud.

However, with big data, it’s easier to access crucial KYC data such as customer preferences, purchase history and patterns, likes, and more. Whence, it’ll be easier to develop personalized marketing efforts, improving their effectiveness and leading to increased sales. 

Additionally, it’ll be easier to understand how customers view and interact with your brand, improving business intelligence. Improved business intelligence allows you to bring about positive changes, such as improving existing products.   

Help Increase Conversion Rate 

This is another way big data might revolutionize marketing strategies. As discussed above, big data might help you develop deeper insights into your customer. Hence, it’ll be easier to understand what they need and why. Understanding customers’ behavior makes it easier for businesses to develop strategies that meet their needs and expectations, increasing the chances of conversions. 

Also, big data makes it easier for marketers to know when to respond to leads. Failure to respond at the right time may affect your conversion rate, affecting the overall sales and revenue. However, applying the insights of big data analytics in all areas of marketing makes it easier to respond at the right time, increasing the conversion rate. 

Making Pricing Decisions 

Your pricing decisions may affect the effectiveness of your overall marketing effort. When using basic data sets, you will need more information to make the right pricing decision. However, big data allows you to access crucial information such as incentives, completed deals, competitor pricing, product cost, demand, value, and more. You can use these data to achieve clarity in pricing, which can be crucial in the business-to-business (B2B) sector. 

Additionally, accessing crucial customer and current economic status may provide valuable insights into pricing. Thanks to technological advancement, you can also integrate advanced solutions such as automation to improve accuracy and reduce errors in your pricing process.  

Also, big data can help you access ever-changing information such as exchange rates, government spending, growth rate, and other data which are crucial when making the correct pricing decisions.  

Bottom Line

As discussed above, big data has become a crucial aspect of modern marketing and sales prospects. However, before integrating this technology into your marketing efforts, it’s important to understand how it might boost your strategy. Conduct extensive research to ensure you’re equipped with the necessary know-how, giving you value for your money.

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