Mobile app development

What difficulties do projects aimed at digital transformation face? We listed five major roadblocks that can impede digital transformation initiatives in our post on issues related to digital transformation. Lack of talent Pushback from employees dangers to security Insufficient funding and a vague budget Insufficient business agility By using a no-code development platform, you can get beyond these obstacles and move your digital transformation along more quickly. Code Digital Transformation: What Is It? The process of using low-code or no-code development platforms to automate and simplify corporate operations without requiring a lot of coding knowledge or experience is known as "no-code digital transformation." Without having to start from scratch with coding, these platforms let business users construct digital solutions like chatbots, online and mobile applications, and workflow and process automation tools. 1. Addressing the lack of talent Digital transformation attempt...

Use of artificial intelligence in agriculture There are many ways to leverage AI to improve efficiency and productivity in agriculture. We have collected some examples to illustrate some of them. Market demand analysis Analysing market demand is a key aspect of modern agriculture. AI helps farmers choose the best crops to grow or sell. Descartes Labs is a New Mexico-based company that provides farmers with an AI-based platform to predict market demand. The company develops machine learning algorithms that analyse satellite images and weather data, providing valuable insights into optimal planting times and best crops. Descartes Labs can analyse data patterns to predict market demand for specific crops and help farmers maximise profits. Risk management Forecasting and predictive analytics can help farmers reduce the risk of crop loss. For example, Intello Labs is an Indian startup company that uses artificial intelligence (AI) to help farmers analyse produce quality and reduce food los...

Robotic process automation (RPA) is a system that allows businesses to automate processes and tasks typically performed by employees. The system can operate across a variety of applications, platforms and sectors. RPA integrates well with existing IT infrastructure and requires no additional installation. Businesses don't need to make huge investments to automate the processes they need. There are many ways to use RPA effectively, some of them are mentioned below. Customer service Modern consumers are accustomed to quick responses and efficient solutions. Automation makes it possible to deliver the results your customers want. An automated customer management system can triage queries and provide early responses to customers. Automated systems can separate queries into various categories such as technical department, service department, etc. Sorting ensures queries are routed to the correct customer care agent for quick resolution. There is no need to forward customer calls from on...

Advantages of artificial intelligence in the market. The introduction of artificial intelligence (AI) in the retail industry has brought many benefits that will change the way businesses operate and interact with customers. From improving customer interactions to improving operations, AI serves unique purposes. Key benefits of AI in the market include: Personalization: Artificial intelligence allows marketers to analyse vast amounts of customer data to understand preferences, purchase history, and attitudes. This data is used to provide tailored advice, product offers and tailored marketing campaigns. This level of personalization increases customer loyalty and the likelihood of conversion.Don't take it back.Improve communication with customers. Chatbots and AI-powered virtual assistants are available 24/7 to answer customer questions, provide product information, and assist with purchases. This ensures a seamless customer service experience that improves customer engagement and lo...

Introducing artificial intelligence into businesses may sound new, but AI has been used in banking and financial services for a long time. Payments companies are using machine learning to detect and prevent fraudulent transactions, and as computing power and storage capacity improve, this detection happens in real time. 1. Compliance and fraud detection The banking industry has a colourful past costing investors millions of dollars. Laws such as the Sarbanes-Oxley Act (SOX) of 2002 imposed heavy fines on players who violated the rules. Therefore, it is in the best interest of banks and financial institutions to automate compliance as much as possible. A decision management system can help you detect fraud early and create comprehensive audit documentation. Third-party audit activities may disrupt normal operations if staff are away to provide missing details or account for items. With the right software and machine learning , the information captured in the system is accurate and error...