Solomon is a gadget lover. He is considering buying a new smart TV for his living room. He happened to be in a mall and casually walked into the electronics section and ended up at the Televisions aisle. He likes the looks of a TV on display. He points his smartphone to that TV and in an instant, accesses all the available digital information on that TV – specs, product videos, customer reviews. He decides to go for it. Well, what the retailer did was to convert a shopper into a buyer. What helped the retailer clinch the deal is the integration of Augmented Reality into the in-store experience to take that experience to a whole new level. By placing content directly in front of a potential consumer – in a more easy, personalized and engaging way – the retailer influenced a purchase decision. It is happening, and it is now! The all pervasiveness of digital technologies has changed every industry and every walk of life. While that’s a given, the ability to gauge how an emerging technology is going to impact your business and make the transition quickly is a deal maker. Today, the two trends that are central to Retail are ‘convenience’ and ‘customer engagement.’ Using digital technologies intelligently, progressive enterprises are focusing on innovating on both these aspects in order to convert shoppers into buyers. And the one technology that is literally pushing the boundaries of innovation in Retail is Augmented Reality (AR). AR is a technology that superimposes a computer-generated image on a user’s view of the real world. It is commonly implemented using a person’s phone camera. The technology is well suited to retail as it can be used on a mobile device without the need for a headset. Though Augmented and Virtual Reality are not new, it is their innovative application by Retailers and Brands that is opening new frontiers in creating truly immersive shopping experiences that bridge the gap between digital and real. According to a study by Citibank, AR driven commerce is expected to account for 25% of all online retailing by 2035.

Data collection plays a key role in business success today and leveraging the insights from data is what most companies are looking for to make informed decisions. Be it any industry, leveraging data insight is super important to improve business processes and performance. Whether you are running a test or using any project management suite or compiling the source code, you are generating data. The data then can be turned to data sets. What if you could turn these data sets into useful insights for identifying patterns and predicting future outcomes?

Mobile app development is gaining momentum in the enterprise landscape. With the Mobile-First Indexing and Mobile-Friendly approach introduced by Google, companies have started to look out for mobile app solutions that skyrocket their customer experiences and business performances. The growth of mobile applications (thanks to global digital transformation services) has contributed to different kinds of app development, starting from simple web apps to complex native and cross-platform applications. The aim of this post is to help you with the differences/advantages between these app types for choosing the best one for your unique requirement. Before getting started with the comparison of native vs. cross platform vs. web applications, let’s put a deep dive into the modern trends and future outlook of the mobile app market for enterprise sectors.

How do you look at the HR function? A set of processes, policies, and frameworks that are needed for the smooth functioning of the organization. Or would you look at it as an enabler of business growth through better talent management, employee engagement, workplace experience, and career enhancement? Well, you might choose one of these depending on your industry, size and organization’s maturity. However, progressive organizations that have regard talent as their biggest asset invariably choose the second option. In reality, the HR functions more often than not fail to operate at that level because of resource crunch and the immediate need of managing processes and handling employee concerns. The resolution to this clear and present challenge can now be overcome by automation. Nevertheless selecting the right web application development company or digital transformation services for success can’t be ruled out.

The digital revolution has enabled customers to buy the products or goods they prefer delivered at their doorsteps. Today’s customers want it fast and have no clue over what happens behind the scenes to deliver the same on-time. Growing customer demands and expectations always add more pressure on logistics companies as their staffs have to ensure the warehouse and inventory are properly stocked and managed. With fewer tools and technology, their staffs have to strain a lot to live up to the customer expectations. However, it is very possible today with the help of partnering with reputed digital transformation services.

If you’re reading this article, the chances are that you are either operating in an industrial company that has habitually resigned to discarding a significant chunk of its data, or you are engaged with a firm that is unable to ascertain the significance or the value of the data that they harbour in their dense repositories. In either case, the situation is dire and requires you to have a decision-making protocol in place that can help you limit such lapses in the future. It is where predictive maintenance comes into the picture.

Artificial intelligence is one of the most transformative technologies developed by human beings. According to Google CEO Sundar Pichai, its impact on the progress of human civilization will be greater than that of fire or electricity. Although it’s a tall claim, the potential of AI can clearly be seen in breakthroughs like self-driving cars, no-code platforms, and smart energy networks.

Mobilizing your entire workforce, processes, and operations involves a huge volume of money, technology, time and human efforts, in addition to finding leading digital transformation services or web application development company. Performing this without a well-planned strategy will impact your overall business performance, productivity, growth, and ROI. However, successful business mobilization lies in defining a winning enterprise mobility strategy that is practical. Even before getting started with how to create a strategy it is quintessential to understand what enterprise mobility actually is.

Industry 4.0 solutions like IIoT, Machine Learning, Cloud, have started to revolutionize the manufacturing and the industry experts have started to realize the complete potential of the future digital transformation services, technologies to produce more at reduced cost and time. Embracing the digital transformation (or partnering with a branded IoT app development company) is no more a choice for the manufacturing industry but a must today. So, is your shop floor smart enough? Are you able to bridge the gap between the factory and the shop floor? Well, if these are the questions lingering in your mind, this post is exclusively for you.

Manufacturing has evolved by leaps and bounds over the last few decades in the hidden factory. Advances such as process adjustments, continuous improvement initiatives, and programs such as Lean and Six Sigma have radically transformed the way operators, production managers, and shop floors function. Operators, line supervisors, and senior managers can successfully implement these methodologies to improve efficiency, reduce waste, increase quality, and lower costs. However, most companies continue to struggle with eliminating unseen forms of waste due to a lack of visibility into shop floor performance and processes. Many organizations claim their processes are functioning at very high levels of yield. But are they accurately measuring and reporting their yield levels? Not if they aren’t considering the hidden factory. To better understand the concept of a “hidden factory”, take the analogy of an iceberg. Above the waterline, you see the traditional and captured costs of poor quality, such as rejects, warranty costs, inspection, scrap, and rework. Below the waterline are the hidden costs, which are typically not captured and accounted for such as lost sales, late delivery, excess inventory, long cycle times, and more.

In today’s day and age, manufacturers face cut-throat competition. Continuous improvement is no longer a choice but an imminent necessity to help your manufacturing business stay afloat. But, what exactly does continuous improvement entail in the manufacturing sector? How can your company initiate a journey using best practices and advanced technology to improve and optimize manufacturing processes? Let us explore these questions in-depth!

Digital solutions have transformed the manufacturing floor operations to increase production significantly. Nevertheless, the automation plan has forced the manufacturers to depend highly on PLC, PC-based control systems, SCADA systems, robotic controllers, and HIMs. The problem with this process is safeguarding the plant automation. The automation systems are obsolete and not connected to a centralized workstation using coding logic. The entire control program logic includes various program files for execution. Even a minor tweak to the coding by humans or machine malfunctions, etc., can lead to security challenges, costing the manufacturers massively. So, it is vital to safeguard the plant automation to lower the maintenance cost and eliminate production delays. While many companies tried their proprietary solutions to secure the control logic and prevent production mishaps, the efforts didn’t suffice the need to halt program changes and device management.

Business Intelligence is revolutionizing businesses across the globe today. Several companies are looking to leverage business intelligence for informed decision-making. Data today comes from a plethora of disparate sources such as forms, marketing campaigns, sales, and demographics. In such a scenario, it is vital to unify this data and make sense out of it to drive better business decisions. Unified BI is a powerful technology that helps collate data from various sources, and generates actionable insights that fuel business growth. By leveraging BI, you can improve operational efficiency and get a complete picture of customers and their needs. It enables you to dive deep into customer preferences, market trends, purchasing habits, and more. All these powerful insights can ultimately increase conversions and transform customers into loyal brand advocates.

Digital transformation is revolutionizing manufacturing companies, and this trend is all set to continue. The evolution of technologies like the Internet of Things, Artificial Intelligence, Robotic Process Automation, Mobile Applications, Cloud, etc. are transforming the way manufacturing shop floors work. And companies leveraging these technologies thrive and others just falter. Manufacturers have many challenges to negotiate. To name a few are Manual or partially automated processes Inventory management Lack of visibility on the shop floor operations Lack of technology, tools and resources Expensive machine maintenance Manual asset tracking and management All the above challenges hamper the production rate, and manufacturers are left with no choice but to invest in digital transformation solutions to accelerate their shop floor operations. Many companies have switched to no code analytics as it is simple and efficient. With a no-code analytics platform, manufacturers can amplify their production while reducing machine maintenance costs. Above all, they can harness real-time data and analyze the trends to prevent machine failures and plan for improvements well in advance. By 2024, low-code application development will be responsible for more than 65% of application development activity. (Source: Gartner) Today, I will walk you through the benefits of using no code analytics platform for your manufacturing unit. Let’s dive deep into the discussion.

Leveraging the traditional development platforms for application development is a headache for most companies today due to the cost of hiring a new developer and the time taken to complete the project. Especially, small and medium-sized companies face the above challenges as they have a tight deadline in front of them to develop and deliver the applications. But, developers are the hot property in the market, and hiring a developer for a project costs massively for these companies. Matching the skill gap and resource shortage has forced SMEs to focus on solutions that will simplify app development while expediting the development time. One such solution most SMEs prefer today is the low-code platforms. The platform’s growth has been imminent over the years, and the trend is set to continue. According to the latest report, the global low code development platform market size was USD 10.82 billion in 2020. The market size is expected to rise from USD 13.89 billion in 2021 to USD 94.75 billion by 2028 at a CAGR of 31.6% during the forecast period. The market is expected to grow in the coming years, owing to increase in demand for technological advancements for business digitalization. (Source: Globalnewswire) This post will discuss the significance of low-code development platforms, its benefits, and ways to use them effectively. Let’s get started with the discussion.

The Internet of Things has left no stones unturned, and the latest to feel the impact of the emerging technology is the Finance industry. So far, the faster-growing sector has been investing in many futuristic technologies, and they believe investing in IoT can dramatically transform the lives of their workforce, vendors, and customers. IoT is growing at a breakneck pace, and there is no wonder that almost all industries widely leverage this advanced technology. IoT is an excellent addition to the Finance sector with fantastic use cases across every industry.

Artificial intelligence is reshaping many industries, and healthcare is not an exception. Starting from face recognition of staff to diagnosing the most complicated diseases is seamless with the help of AI. AI is impacting every section of healthcare and has surplus use cases in the ever-growing Healthcare sector.

Healthcare plays a prime role in improving the well-being of people around the globe and is an ever-growing industry. Every day, a massive volume of patients throng the healthcare centers, and the professionals strive to render a seamless experience for them. Apart from this, healthcare is a significant revenue booster for any country as the industry accounts for 1/3rd of revenue.

In the world of application development, two approaches have gained significant traction: no-code and low-code development. These methodologies offer businesses the ability to create applications with reduced reliance on traditional coding practices. In this blog post, we will explore the differences between no-code and low-code development and examine their respective use cases.

No-code development platforms have revolutionized the way software applications are built and deployed in recent years. The main advantage of working with No-Code development platforms is that they empower professionals with little to no programming experience to create fully functional applications, greatly reducing the dependency on traditional development methods. By eliminating the need for coding, businesses can maximize efficiency, accelerate development cycles, and drive innovation. In this blog, we will take a look at the best practices and tips to help you make the most out of no-code development.

The volume of documents that organizations handle daily can be overwhelming. From invoices and contracts to resumes and legal documents, the need for efficient and accurate document processing has never been greater. This is where Document AI, comes into play. Document AI refers to the use of AI technologies to automate document processing tasks, such as data extraction, classification, and validation. By leveraging the power of AI, organizations can streamline their document processing workflows, improve efficiency, and reduce manual errors.

According to a recent study by McKinsey, organizations that effectively integrate AI into their software development processes can boost productivity by up to 40%. However, despite this potential, many companies struggle to realize these gains due to critical challenges that hinder AI’s full adoption. While AI promises to streamline workflows and accelerate time-to-market, achieving these outcomes requires overcoming specific obstacles derailing productivity. Here’s a breakdown of the critical challenges limiting productivity in accelerated software development and how organizations can overcome them: