In this digital age, voice assistant technologies are constantly evolving at an exponential rate across the world. According to research by IDC, the worldwide market of voice-enabled devices is expected to grow at a 12% CAGR from 2018-2022.
According to Deloitte, “RPA continues to meet and exceed expectations across multiple dimensions including improved compliance (92%), improved quality/accuracy (90%), improved productivity (86%) and cost reduction (59%).” RPA is being used in many ways across multiple business sectors such as banking, retail, transportation, government and so on. RPA has advanced considerably in the last couple of years and is expected to manage customer-oriented processes along with internal processes, in the coming years.
According to Gartner, “The Robotic Process Automation software market will grow by 41% year over year to 2020”. The big tech companies like Google, Amazon, Apple and Microsoft are investing heavily into machine learning and RPA. Thus, for the last couple of years, robotic process automation has been deployed extensively across many industries such as retail, utilities, finance, government etc. Despite of this growth, RPA is still shrouded with many myths around its potential and working. But before busting these myths, let’s first understand-
The rapid development and growth of Artificial Intelligence, NLP (Natural Language Processing) and Machine Learning has empowered voice technology. With voice assistants entering our everyday lives at a blistering speed, they are making major waves in the hospitality landscape. Tech leaders such as Google, Amazon, Microsoft have upgraded their amazing and interactive voice assistants in a way to enhance guest experiences.
Taking a look back in 2018, there have been significant technological advances in the IT industry. Software technologies such as Blockchain, IoT, AI etc. have remained a hot topic in the past couple of years. However, these technologies are still evolving with much better use cases in 2019. According to a report by Gartner, the software industry is forecasted to experience an 8.3 percent growth in 2019.
As a result of growing customer demands to build large-scale and complex applications, microservices has become a buzzword. The number of businesses building or switching from monolithic to microservice architecture is growing at a rapid pace. Leading companies like Disney, Airbnb, Twitter etc. are adopting microservice architecture to support continuous delivery and scalability of applications.
By the end of 2018 Q3, 25 billion have been downloaded from app stores. Considering the popularity and use cases, a mobile app has become an imperative part of a business’s tech-strategy.
According to Gartner, there will be 25 billion voice-enabled applications and other IoT devices by 2020. There has been a significant growth in the adoption of virtual assistants across industries. Artificial intelligence improvements and other technological advancements are driving this growth of virtual assistants.
Back in 2014, Gartner coined the term “low-code” to recognize platforms that enable users to build custom mobile applications simply by dragging and dropping pre-built features. These tools or platforms does what traditional development approaches (programming languages, libraries, frameworks) do for building an application, but in a fraction of time than the latter.
The introduction of chatbots revolutionized customer and brand interaction. With the ability to mimic conversations and offer instant, digital connection, chatbots made their way into businesses like a wildfire. In fact, Gartner predicts that by 2021, more than 50% of enterprises will spend more annually on bots and chatbot creation than traditional mobile app development.
Businesses, irrespective of the industry are making the most out of chatbots. While chatbots act as a 24x7 customer service agent for one business, it may help another by providing data points to predict user behaviour. Thus, a chatbot programming, technology, and type depend a lot upon the customer base it is going to serve. The latter segment discusses different types of chatbots that can be developed to simplify the way businesses interact with customers.