How To Boost Your AI-Powered No-Code Automation Salesforce Testing Strategy

StrategyDriven Managing Your Business Article | How To Boost Your AI-Powered No-Code Automation Salesforce Testing StrategyDigital transformation isn’t just about technology, it is a complete transformation of the way businesses and customers interact. In order to achieve this level of change and adoption, organizations need to reevaluate their sales processes, testing strategies, and tools.

Artificial intelligence (AI) has evolved rapidly over the last few years, with more powerful AI-powered applications and chatbots being introduced on a daily basis. With this increased demand for AI-powered technology comes the need to implement new testing strategies as well as upgrade existing technologies that support these new advancements in automation.

With an increased interest in no-code software solutions, there is a greater need for testers who can work with these software programs. If you’re looking to boost your AI-powered no-code automation Salesforce testing strategy, here are a few things you can do:

Increase Your Test Coverage

Make sure you’re testing all the important functions in your Salesforce org.

Salesforce provides a powerful tool for automating your testing strategy: the Apex code coverage tool. By increasing your test coverage, you can improve the quality of your code and make sure that your Salesforce functional testing is more reliable. Here are some tips for increasing your code coverage:

  1. Use the @isTest annotation to identify test methods. This annotation tells Salesforce that the method is a test method and should be run as part of the automated testing process.
  2. Write unit tests for all of your Apex classes and triggers. Unit tests help to verify that individual pieces of code are working as expected.
  3. Use the Apex Scheduler to automatically run your tests on a regular basis. This will help to ensure that your code is always up-to-date and that new changes haven’t introduced any regressions.

By following these tips, you can boost your AI-powered no-code automation Salesforce testing strategy and improve the quality of your code.

Use Data-Driven Testing

Data-driven testing is a powerful tool that can help you improve your Salesforce automation testing strategy. By using data to drive your tests, you can ensure that your tests are more accurate and effective. This approach can also help you save time and resources by reducing the need for manual testing.

Data-driven testing is a testing approach that is used to validate test data against expected results. In data-driven testing, test data is stored in a data repository, such as a database or spreadsheet. This approach can be used to boost your no-code automation Salesforce testing strategy.

When using data-driven testing, you can create test scripts that are less reliant on code and more on data. This can help you reduce the amount of time and effort required to create and maintain test scripts. In addition, data-driven testing can help you improve the accuracy of your test scripts and the reliability and stability of your Salesforce applications.

Leverage AI-Powered Test Automation Tools

Salesforce is a popular CRM platform that offers businesses a wide range of features and functionality. In order to get the most out of Salesforce, it’s important to leverage AI-powered test automation tools.

There are a number of benefits to using AI-powered test automation tools for Salesforce testing. First, AI-powered tools can help to speed up the testing process by identifying areas that need to be tested and automating the testing process. This can save time and resources for businesses that are looking to improve their Salesforce testing strategy.

In addition, AI-powered test automation tools can also help to improve test accuracy by providing more comprehensive test coverage. By leveraging AI, businesses can ensure that they are testing all the right areas and that their tests are as comprehensive as possible. This can ultimately lead to better results and increased sales.

If you’re looking to boost your Salesforce testing strategy, consider leveraging AI-powered test automation tools. Doing so can help you save time and resources while also improving test accuracy.

Make Sure You’re Monitoring Your Test Results

If you’re automating your Salesforce testing with AI, keeping an eye on your test results is important. This way, you can quickly identify any issues that may arise and take corrective action.

There are a few different ways to monitor your test results. One is to use a tool like Salesforce’s own Lightning Inspector. This tool allows you to see the details of your tests and take action if something goes wrong.

Another way to keep an eye on your tests is to use a third-party tool like Stackify Retrace. This tool provides you with real-time insights into your tests so you can identify any issues as they happen.

It’s important to choose the right monitoring solution for your needs. But whichever solution you choose, make sure you’re monitoring your test results closely so you can ensure your AI-powered Salesforce automation is running smoothly.

By following these steps, you can improve your Salesforce testing strategy and make your org more efficient.

Best Tech Business Niches To Get Into

StrategyDriven Entrepreneurship Article |Tech Business Niche|Best Tech Business Niches To Get IntoThe employment landscape of today is more uncertain than at any point in history. With the seemingly endless digitization of business and the rise of Artificial Intelligence (AI) and Machine Learning (ML), it seems there isn’t a single area of commerce that isn’t being transformed by technology.

However, while many might view the increasing reliance on computers and machines in the workplace as a negative thing, technology is opening a world of opportunities for aspiring entrepreneurs and bringing entirely new business prospects.

If you’re looking for ways to jump on the tech bandwagon and start capitalizing on our brave new world, below are some business ideas you could look at developing now to gain a head start before the masses follow.

Graphic and web design

As the real and virtual worlds continue to merge, there is now a huge demand for designers that can aid companies in promoting themselves online and in print. Building a strong brand is essential in today’s highly competitive markets, and firms the world over are starting to wake up to the considerable importance of promoting themselves effectively both on and off-line.

Sign design, engraving and marking

While there’s little doubt about the effect the web and associated online technologies have had on business, there will always be a demand for more traditional signage, vehicle livery and engraving skills. Modern laser cutter technology is now more accurate and precise than ever, making it easy to accurately transfer digital designs onto everything from glass to laminate, wood and metal.

3D printing

For the vast majority of businesses, a 3D printer is an expense they simply can’t justify – so investing in the tech and setting up as a dedicated service provider makes good commercial sense. These days, a professional 3D printing machine can cost as little as $10,000 but will soon pay for itself as you build a market and take more clients on board.

3D printing is becoming increasingly popular for educational purposes, construction, and in particular, manufacturing and prototyping – and the demand shows no signs of slowing.

Mobile application development

When Steve Jobs first showcased Apple’s flagship mobile device, the iPhone, on June 29th, 2007, surely even he couldn’t have predicted the massive societal shift-change his product would cause. These days, pretty much all of us have a smartphone that we rely on for day-to-day tasks like messaging, browsing, emailing and shopping.

Today’s smartphones have usurped a multitude of devices – everything from personal music players to cameras and satnavs – and the majority of these capabilities are powered by mobile applications.

Mobile app growth has been exponential over the last few years and continues to increase at breakneck speed. In 2016, research shows there were a total of 140.6 billion app downloads globally. By the end of 2021, that figure is forecast to grow to a whopping 258 billion, representing an 83% increase over just five years.

Working as an app developer, you will have options to build and market your own software (normally generating revenue from sales, advertising or subscriptions) or could go the more traditional route and build applications for clients (getting paid per project). Certainly, one thing is for sure – apps are here to stay, and app development will be a key niche for the foreseeable future.

4 ways to future-proof your business

StrategyDriven Managing Your Business Article |Future-proof your business|4 ways to future-proof your businessThe business landscape is highly volatile. New developments both economic and social can have a massive impact on how your business functions. This sometimes makes it seem difficult to plan ahead, exposing you to problems further down the line. Future-proofing a business isn’t as difficult as it sounds, though, and these tips should help.

1. Invest in automation and artificial intelligence

Automation and artificial intelligence go hand in hand and they’re both set to play a big role in the future of business. You can start today by automating simple tasks like answering emails, setting automatic software updates for your network and even your social media profile. Artificial intelligence is everywhere, too, and easy to implement. Chatbots can streamline your customer service department and they can even be used to build mailing lists and work on customer outreach programs. Adopting these technologies early will ensure that your business is well equipped to face the future, whatever it holds.

2. Hire an advisor

No matter your intentions, your knowledge of future tech can never really match up to that of a professional advisor. These people spend every day of their lives learning about how businesses will develop. They specialize not just in predicting business trends, but in telling you how best to leverage them. Advisors like are well placed to make predictions and ensure that your business never falls behind the curve. An additional benefit of hiring an advisor is that they take the strain off you and your staff. Future-proofing demands an enormous amount of data crunching and analysis. Having somebody else do this for you frees up staff to concentrate their energies elsewhere.

3. Research

Research and development is a key component of any healthy business. Continual innovation ensures a steady flow of ideas that can be transformed into products and cash flow. Future research is slightly different, however. It pays to research what your competitors are doing and how bigger businesses in your sector are embracing change for the better. Keep a continual eye on your customer base, too. Demographics might change as time goes by so it’s important never to lose sight of who you’re selling to. A continuous cycle of research and implementation ensures that you’re never taken by surprise if a sudden change occurs or market conditions shift.

4. Gather data

Following on from the previous point, translate themes into data. If your identify shifts in the market, customer base changes or the mass adoption of a new technology occurs, translate those trends into raw data. This makes change more easily quantifiable and gives you something to compare, month on month, year on year. Data allows you to trace not just the trajectory of your business, but that of the business world as a whole. Too many companies are taken by surprise by sudden market shifts, but if you continue to amass and monitor data, it shouldn’t be a challenge to identify potential disruption before it happens.

10 Examples of AI In Our Everyday Lives

StrategyDriven Online Marketing and Website Development Article |AI|10 Examples of AI In Our Everyday LivesPerhaps you think that artificial intelligence (AI) or machine learning (ML) are concepts that do not concern you at all or are too complicated for everyday use? In theory, you may be correct, but in practice, these concepts are already an indispensable part of your daily life, though you may not be aware of them. In this article, we will give you ten examples of AI in our everyday lives.

Do you remember the image of artificial intelligence you had in 2010? At that time, for most of us, artificial intelligence was reserved mainly for science fiction works. It was not yet anchored in our daily lives. It was, in fact, a research discipline. Over the past eleven years, this technology has made great strides in many industrial sectors. It has also burst into our daily lives and has materialized in the form of smartphones and autonomous cars, robotic vacuum cleaners, and self-propelled lawnmowers. Based on a few particularly relevant examples, see for yourself how much artificial intelligence has changed the world in recent years.

Email Messaging

Electronic messaging relies heavily on AI to optimize its performance and increase user satisfaction. Our email boxes have been learning over time thanks to advanced algorithms—for example, spam filtering. Spam filters rely heavily on artificial intelligence, which can process large amounts of messages and detect new spam flooding of your inboxes very quickly.

The publishers of these spam emails change their strategies regularly. As a result, having a few keywords is not enough to identify adverse content. Hence the need to use AI solutions. A perfect example is Gmail from Google, which uses TensorFlow and blocks over 99.9% of spam.

Search Engines

Search engines could hardly function without AI, given the massive size of the web. The AI is deployed in robots that crawl the sites to index them, classify them, and ascertain the display order according to the search expressions. As a result, search engines are fully harnessing the benefits of AI: Technology is helping to understand user behaviors better and drive better outcomes for brands and internet users alike.

Social Networks

AI largely determines the way information is displayed, especially on social networks. For instance, Facebook distributes posts from followed pages, then filters them to highlight those considered most significant while covering the rest. However, no matter what social media platform you use, what you see and do in these applications is primarily influenced by machine learning. As a result, AI controls the channels you see when browsing these platforms or the notifications you receive.


While it’s impossible to predict the future with precision, an excellent data-driven strategy allows marketers to get a more holistic view of upcoming consumer trends. As a result, consumers receive more personalized purchase suggestions based on research conducted by sellers and based on their purchase decisions made so far. As a result, online retailers increasingly use AI consulting companies to take full advantage of the available data and provide their customers with more personalized offers, thus generating higher revenues.

Banking applications

When discussing online shopping, you cannot ignore online banking. Banking is one area that has adopted technological inventions earlier than most other areas. Secure payment is possible in particular thanks to artificial intelligence, as systems continually learn to recognize fraudulent transactions. Have you ever got information from your bank when you purchase using the new device? That is a case where banks used artificial intelligence to detect any potential fraud. Notifications from banks and financial institutions regarding their services and products are examples of artificial intelligence that allows you to understand your preferences, requirements, and financial condition to propose appropriate products.

But the process goes further. Banks use artificial intelligence in many areas, including analyzing customer investment trends, providing customer service, and more.

Chatbots and Customer Service

For most retailers, dealing with many inquiries and comments from consumers through multiple phones, email, and social media channels can be challenging even for the most experienced marketing departments. For this reason, brands are increasingly using chatbots.

With chatbots, the customer experience is smoother. Social media and customer service teams can free themselves from tasks like scheduling appointments and focus on more strategic activities. They can seek out brand ambassadors and create interaction with user-generated content (UGC). Through intelligent learning, chatbots can better understand the language used by each customer, which makes interactions more authentic and easier to navigate. It also allows brands to respond more quickly to micro-moments–targeted junctions where consumers look for specific products or information.

Artificial Intelligence and Smartphones

Imagining life without cell phones seems like a challenge. However, the various applications in our cell phones are now an integral part of our daily life. Many of these applications are based on artificial intelligence. The intelligent assistants built into our phones, such as Siri, Alexa, and Google Assistant, are the most prominent examples of AI that most of us know and use.

In addition, more and more mobile technology platforms are developing solutions that use artificial intelligence to manage various aspects of the device, such as battery management, event suggestions, etc. One of the standard functions, such as unlocking the screen with the image of a face, also uses artificial intelligence. As a result, AI-enabled services are now an essential part of iOS and Android platform updates.

Smart Homes

Alexa and Bixby come to mind when it comes to using AI in the development of smart homes. However, these applications of artificial intelligence are not limited to these intelligent voice assistants. A great example of smart homes are AI apps that save energy by automatically turning lights based on human presence. And we also have intelligent speakers, apps that change the color of light according to today. These are just some of the applications where AI is used to make homes smarter.


In the morning, you leave your apartment and log into your favorite navigation app. What happens most often? Without even typing a single character, it offers to take you to your work or school, if that’s where you are used to going at that time. Artificial intelligence has changed our traffic habits. Thanks to navigation applications like Waze or Google Maps. These determine the shortest route and estimate the time of arrival. They can even take real-time traffic into account to automatically change the trajectory to avoid traffic jams.

There is no doubt that AI will grow more and more, and thanks to it, people will become more productive and lead a more comfortable life to a higher standard. The possibilities offered by artificial intelligence seem endless. Therefore, we should enjoy them and use them instead of perceiving them as a threat.

How you can use AI to become a more effective leader

StrategyDriven Management and Leadership Article |AI|How you can use AI to become a more effective leaderOne of the greatest challenges of business is dealing with the unknown. As a business leader, you must manage risk and reward every day of your working life.

The ability to know if a new product has been marketed correctly or if your customers are satisfied with your brand is something only skill and experience can bring.

However, the rise of artificial intelligence is a potential ace card up your sleeve, waiting to be used. Armed with the ability to understand your market better, interact with it and know precisely what customers will want next can give you a huge advantage over your competition and help you lead your business far more efficiently.

Here’s how:

You can make far more informed decisions

What is the most important information you need when making a tough sales decision? Consumer data. Without it, you are operating blind, and the right decision is perilously tricky to make.

Thankfully, AI – such as the system – changes this, because it can collect and quantify gigantic amounts of data on both your customers and your company. This allows you a deep, meaningful understanding of every single one of your prospects, one-time buyers and lifetime customers. The AI analyzes this data and gives you an easy-to-process report, giving you all the information you could ever need to make a reasoned decision about your brand strategy.

You know exactly how your customers are feeling

Because of this huge resource of information, you can connect far more personally with what your customers are feeling about your brand. As a business leader, it can be almost impossible to stay in touch with ‘on-the-shop-floor’ colleagues and the buyers themselves.

Previously, you could be handed completely warped information on the state of the market. Customer surveys can only go so far. This gives you the ability to correct any flaws in your products and better position your brand in the market.

While AI software will be used differently by different departments, you can use it to stay better connected to the day-to-day running of the overall business and track its progress.

Cut down on wasted resources

When marketing your product, it is difficult to analyze what works well and what doesn’t, especially with any real precision. This often leads to huge swathes of the resource being invested in advertising campaigns and even products that consumers simply don’t want. By using AI software, you can minimize this expenditure and focus on the prospects that are most likely to buy, and the products most likely to sell.

Avoid making mistakes

AI is, obviously, not human. This means it overcomes human flaws by remembering everything it has learned and never making the same mistake twice. Even the most level-headed business leader cannot deliver this level of consistency.

With every passing marketing campaign, the AI software will remember what went well in the past, and what can be improved upon in the future. This allows you to minimize the chances of managerial error and gives you peace of mind that (in theory at least) your strategy should improve the more you use AI.