Intelligent Apps for a Promising Future awwwards.com2 years ago in #Apps Love535

Early mobile users were content with basic apps such as the Calendar, Calculator, and Clock, but, with the advent of smartphones came an abundance of apps to assist us in every way possible. Today, you have an app for everything and anything, so businesses need to focus on providing a user-friendly experience rather than just maintaining a mobile presence. Next came the shift in trends towards intelligent applications, technologies such as artificial intelligence (AI) and machine learning (ML) have become growth stimulators in various industries. With the integration of more and more systems and devices, AI has become the mediator between machines and humans. The era of intelligent applications dawned when application developers succeeded in integrating AI into software applications. The rise in demand for advanced analytical tools, and an improvement in technologies such as big data and analytics, has led to the growth of the intelligent apps market. Intelligent apps are no longer considered as an innovation, but a necessity that organizations must provide in order to stay competitive. What are Intelligent Apps?The long-gone Microsoft Office assistant ‘Clippy’ could be seen as the humble beginning which would eventually evolve into today’s intelligent apps. Simply put, intelligent apps are applications that leverage historical and real-time data gained from user interactions to deliver relevant, personalized and adaptive user experiences. Intelligent apps use AI-powered algorithms to differentiate between relevant and irrelevant information. Putting this remarkable trait to good use, companies can make real-time changes to their services to improve their position in the market. Applications of Intelligent AppsIntelligent applications use all the data they can to respond to changing circumstances and formulate favorable outcomes. Companies can leverage this to bring about digital transformation and deliver rich customer experiences. Large industries are using intelligent applications that collect and process data from a variety of sources and provide real-time experiences using technologies such as machine learning and artificial intelligence. Coming up are some sectors where intelligent applications are used:Finance: Today’s financial institutions are being expected to transform services using advanced technology. With many start-ups taking their claim of the market, more customers are demanding ease of engagement. The evolution of intelligent apps has transformed the financial sector. Intelligent apps have helped institutions improve their efficiency and consumers can better understand and manage their finances through the use of intelligent apps.Business: Smart apps have the potential to increase operational excellence in the B2B as well as B2C sectors. This next generation of applications can help employees to carry out their work in an efficient manner, for example an organization could develop an intelligent app to alert employees to respond quickly to emails that require an immediate response. Since smart apps deliver highly personalized and contextual information, employees can quickly filter and streamline information on the basis of their needs. Thus, intelligent apps can be used to enhance output and reduce turnaround time. Energy: With the emergence of decarbonization and decentralization, electric utilities and other energy companies are actively exploring effective ways to reduce the imbalance in supply and demand through the use of renewable energy sources in power generation. AI-powered intelligent apps possess tremendous potential to transform the energy and utility sectors. Smart apps can be used to analyze large amounts of data, identify patterns and trends, detect anomalies and make accurate predictions of power requirements. Using predictive analysis, intelligent apps can provide us alerts that help us to improve the equipment O&M and predict downtime, which ultimately enhances the efficiency of the system.Media: Today’s media has shifted from traditional broadcast and cable television to real-time streaming. Self-learning, self-controlling and self-communicating standalone intelligent applications have enabled an entirely different aspect…

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