How Master Conversational Bot is going to reshape your interactions with machines? – Part 1/3
The frantic digital expansion of bots results in digital fatigue rather than an augmented user experience.
In the ever-expanding realm of digital connectivity, applications have become integral to our daily lives. On average, users navigate between 46 to 80 mobile applications, while employees grapple with 40 to 90 workplace app. This proliferation of applications, driven by a genuine desire to enhance productivity, facilitate information access, and foster digital connections, has inadvertently given rise to many challenges. App fatigue, confusion, workflow bottlenecks, decreased productivity, and security lapses are becoming increasingly prevalent, exacerbated by the overlapping functionalities of many tools.
Despite aiming to boost productivity, facilitate access to information, and enhance digital connections, the growing number of apps brings its own set of challenges. Issues like app fatigue, confusion, workflow bottlenecks, decreased productivity, and an uptick in security lapses are becoming more common. This is exacerbated because many tools have similar functions, leading to redundancy.
Now, the trend is shifting towards Conversational Bots powered by Generative AI. OpenAI opened their App Store, enabling developers to publish applications leveraging models like ChatGPT 3.5 or 4+. Concurrently, software vendors are announcing the integration of their Conversational Bots, promising task automation.
In 2023, we witnessed the consequences caused by this app abundance. The scattered resources and divided attention from various digital interfaces have fragmented the user experience, resulting in inefficiencies and dissatisfaction. Independent Conversational bots add to the problem by reinforcing silos and diminishing performance. As a result, users struggle to fully embrace these digital interfaces, underscoring the challenges posed by their fragmented nature.
The solution is clear: we need a more cohesive, unified, and user-friendly interface. The Master Conversational Bot emerges as a promising solution to overcome this challenge, marking a pivotal moment in the evolution of our digital interactions.
Master Conversational Bots (MCB) aims to re-invent human-machine interactions.
Thinking back to the early days of the internet, finding information was difficult with different web browsers and siloed. Understanding the user struggles, Google simplified access to diverse information through a single, streamlined web browser. Far from stopping there, it expanded its scope and capabilities to include other features, such as maps, calendars, email, photos, news, videos, and more. Today, Google offers a unified platform that integrates all these services under one umbrella and allows users to access them with voice or text input. Google Assistant, for example, can answer questions, perform actions, and give recommendations across different areas and devices.
This is what Master Conversational Bots (MCB) aims to do for Customer and Employee experience (CX and EX)—using Generative AI as an intelligent system that can understand and respond to natural language queries and commands across various domains and tasks. An MCB can also integrate data and functionalities from different sources, such as search engines, social media, e-commerce, productivity tools, IoT devices, and more. Plus, with its learning ability, it’s a system that can personalise responses and suggestions based on the user’s profile, history, location, and intent.
At onepoint, we believe major players such as Microsoft, Google, and Meta are expected to integrate a MCB into their popular communication platforms and productivity suites. In 2024, users will be able to open their usual communication platform to access products and services, as information will be delivered to them instead of requiring active searching.
