Rise Of Technology Usage In The Response To Post COVID19 Crisis

The Covid-19 pandemic is a really difficult time for all. It has triggered a panic button all over the world as a medical emergency, disrupting the global economy and hitting businesses hard in the area of operation and survival.

The consequences such as social distancing, lockdowns, low production/demand, lack of labor, and a high degree of uncertainty, have questioned their continuity.

But digital technology has helped pandemic hit businesses to keep up and running like least affected.

Thankfully, many tech companies are promptly offering next-level digital technology to keep their businesses operational even amidst the crisis.

As the need for digital infrastructure has grown for businesses during this emergency, solutions like custom app development and cloud computing have proven beyond useful.

A Reality Check for Businesses

From retail, healthcare, and finance industries to grocery, apparel, and salon, every industry has to quickly adapt to the new situation; to serve their customers safely and fast.

They have to consider options of virtual contacts, eCommerce tools, and technologies to respond to this crisis-ridden situation in a better way. These drastic changes in business sectors are long-term.

Pandemic and Contribution of Tech Stacks

Businesses are left with no option but to digitize all or some part of their activities to protect customers and employees put under travel restrictions due to the pandemic.

Some of the tech stacks have already confirmed that they are getting a record number of requests for the implementation of remote work and digital services across multiple domains.

Again, shopper behaviors and ways of interactions have changed considerably, and the demand for digital technology is likely to continue in the future.

Nearly around 75% of shoppers are using digital platforms for the first time.

Web and mobile app development companies have to make sure that the approaching businesses are digital-ready and don’t miss a single customer in this unstable condition.

Recent data from McKinsey (Source: Covid-19 US Digital Sentiment Survey) shows the accelerated rate of digital adoption among US businesses and customers in different industries.

Web application development

mobile application development

(Source – mckinsey.com)

Challenges and Digital Adoption in the Press

The Covid-19 pandemic has thrown many challenges at businesses – the most important being the company management and financial stability, thus making business resiliency and continuity their ultimate priority.

There are a few other areas where businesses are facing challenges such as reducing operation costs, maintaining data security, etc.

Digital technology helps pandemics have a low impact on businesses by taking their eCommerce development to the cloud platform and automating the whole business from supply chain to sales management.

Digital Transformation to Address Pain Points

Digital technology is a savior for businesses in the pre-Covid19 and post Covid19 era. It is not just a good to have a feature – but a necessity for companies to weather the effects of the pandemic.

And as businesses now come to consult with tech companies more and more, they are seen struggling in the following areas:

  • Deploying remote staff
  • Reaching out to customers virtually
  • Remote access to business activities and details
  • Adding to agility and competence
  • Stay safe against new cybersecurity related issues
  • Cutting down operational costs and improving supply chain activity

While businesses are undergoing organizational, cultural, and social change, tech companies have been providing the required support to help them cope up with it gradually.

Restructured Traditional Business Model

Empowering businesses digitally is not all about facilitating remote access; they will have to be available 24/7 online taking/processing orders and addressing issues that employees are facing on the personal/professional front.

Digital technology has successfully removed in-person client meetings and customers are no doubt experiencing an increased speed of response in the digital framework.

Companies are now able to build excellent virtual customer contacts that could be easily shifted to core business activity post-crisis.

The insecurity triggered by the Covid-19 crisis is encouraging businesses to review their IT infrastructure and make sure that they work on the limitations there to work remotely.

Businesses are now more versatile in the area of decision making and seen enjoying new customer engagements and conversations than before.

Effect of Digital Transformation

Digital transformation is the key to overcoming the pandemic and helping businesses get robust and resilient for the future.

To start with, many companies have sped up the adoption of digital technology and tools that will quickly connect with their workers, clients, and partners safely, without making huge investments.

New-age digital solutions like SaaS, Cloud, Data Security, and Automation have come together to make businesses pandemic-proof.

Digital Implementation in Full Glory

With work from home now becoming a standard, the importance of cloud service has grown more.

And so far, you may have seen many businesses move to comprehensive WFH mode without any disturbance – thanks in real life to SaaS and cloud solutions providers, which are offering cost-effective packages.

Hundreds of custom app developments have been carried out to connect home bound businesses to collaborative/management tools for their continuity.

Similarly, web and mobile app development companies continue working remotely and writing codes in cloud-based secure environments.

Some of them even include built-in and cloud-managed features such as AI-backed applications for greater functionality during this pandemic.

BCP is no longer a tick-in-the-box habit, rather has become a strategic strength for businesses. When facing supply chain issues during lockdowns, they have started to gain the ability to find raw supply chain data in real-time.

Businesses now use AI and other advanced technologies like IoT, blockchain, 5G coverage, and edge computing to finely balance operating costs, creating a solid supply chain worldwide and turning unimaginable into the projected.

They have reached the goal of building better, smarter supply chains by integrating both data and technology.

It helps them to escape the current pandemic effect as well as unexpected events in the future.

Conclusion

Distributed staff, virtual contact facilities, Artificial Intelligence, and machine learning, data, and analytics: 

  • all of them are part of the coveted digital world
  • already exploited by the businesses in different ways
  • and to variable degrees during this pandemic.

In the post-crisis phase, they are likely to expand faster.

Are you feeling the heat of the Covid-19 pandemic and looking to overcome it with technology? Let’s discuss! 

I am sure our tech experts and full stack developers can guide you in the right path.

The Influence of AI and ML in Mobile App Development

Until a few years ago, artificial intelligence (AI) was just a name for a unique innovation that could make machines perform tasks that were typically reserved for humans.

Now artificial intelligence has become a buzzword in the market, especially in mobile app development.

As more and more artificial intelligence courses empower professionals to boost their careers, AI and its subset machine learning are transforming every industry for better performance and cost effectiveness.

Further, as the economy leans towards digitization and the consumers spend most of their time on smartphones, enterprises have shifted their focus to making themselves accessible on the digital medium.

As a result, the impact that artificial intelligence and machine learning could have on modern app development has caught the fancy of many innovators.

According to a report by Gartner, smart mobile apps were one of the top strategic trends of 2017, and considering the pace of innovation in the domain, this is just the beginning.

Personalized Recommendations:

Making personalized recommendations to users is one of the most effective and widely sought after application of AI in mobile app development.

As the attention span of users becomes limited, it becomes more important to supply them with relevant content to maintain user engagement.

To continuously engage users, mobile app developers design AI algorithms that can monitor the choices users make and then insert them into a learning algorithm.

As a result, the users are recommended content that they are most likely to engage with.

Such learning algorithms and recommendation systems are also one of the significant sources of revenue generation for mobile entertainment apps like Netflix, and e-commerce applications like Flipkart, Amazon etc.

Mobile App

(Source: artjoker.net)

Any business that runs on making relevant suggestions to users can benefit from this aspect of AI in mobile app development.

For this reason, the ability to integrate AI recommendation systems in mobile applications is one of the sought-after skills in mobile app development.

Automated Reasoning Techniques:

Automated reasoning techniques work on studying massive amounts of historical data and applying the resultant insights in solving the problem at hand.

The automated reasoning techniques make it easier for mobile app developers to optimize their functions by providing the best alternatives to perform a task.

Navigation systems are perhaps the best examples of automated reasoning.

For instance, mobile applications like Google maps and on-demand cab service, Uber, makes use of automated reasoning algorithms to optimize routes in a manner that gets users to their destinations in minimum possible time.

The automated reasoning works from travel data collected from drivers who have previously traveled from the same routes.

Adapting to User Behavior:

AI and machine learning have now evolved to learn user behavior patterns to provide them with a more seamless mobile app experience.

Through natural language processing and machine learning techniques, mobile application developers can integrate virtual assistants in the application architecture.

These virtual assistants observer user behavior, understand their preferences, develop a pattern, and then modify their functionalities in a manner that can be of best use to them.

This technique is also used by banks in their mobile apps to detect fraud in online payments.

A pattern-detecting algorithm embedded in the app design automatically tracks through each customer’s purchases, and can instantly recognize if a purchase has been made that doesn’t fit well with the usual customer behavior.

These pattern recognizing algorithms grant a degree of efficiency to mobile apps and are one of the most demanded skills in an application developer.

Voice Optimization:

The impact of voice optimization on modern mobile app development cannot be stressed enough.

Not only has it proved convenient regarding accessibility and navigability, but it has also promoted a more connected mobile ecosystem.

In 2014, as much as four billion devices were connected to the Internet; Gartner expects this figure to have risen by five times by 2019.

The Internet of Things (IoT) is not just limited to smartphones and computers, but now there are smart TVs, watches, lights, thermostats, and many more.

As homes become smart, consumers prefer all their applications in one device instead of switching from one device to another.

Voice optimization thus provides them with a universal interface for all their devices in one single mobile application.

For instance, Google Home and Amazon Alexa allow their users to manage all the connected devices through a single, voice-optimized mobile application interface.

Opportunities to Creatively Deploy Codes:

Not only are AI and ML providing meaningful add-ons in mobile applications, but they are also transforming the way in which app developers deploy their codes.

Thanks to the flexibility offered by AI, developers can release newer versions of the app more frequently, and with better enhancements.

Now that AI techniques have become accessible and can be employed by just about anyone with the relevant knowledge, application algorithms can be designed and implemented for a variety of tasks.

For instance, scanning a QR (Quick Response) code not only transmits necessary information but based on your preferences; a single scan can return information that the users are most likely to spend time with, thus significantly increasing user engagement.

Increased and prolonged engagement with users is one of the primary objectives behind the development of any application and is the most desired skill in mobile app developers.

When it comes to retaining customers through a mobile app platform, the first few sessions are incredibly crucial.

The integration of AI and machine learning techniques with mobile apps make it possible for users to have a more memorable experience with the application.

As a result, mobile application developers who have a comprehensive understanding of AI and automated learning will be in higher demand for creatively applying machine learning techniques.

Mobile app development is a rapidly evolving market, and through their behavior learning and recommendation algorithms, AI and ML make the app experience more valuable to the users.

We are at Andolasoft continuously updating ourselves with the latest algorithm of AI and ML to provide high user experience while developing a mobile app for our customers.