AI enablement has become a hot topic in recent years, with many businesses embracing the power of artificial intelligence to enhance their operations.
However, there are still skeptics who dismiss it as "just another wrapper" - a buzzword without real substance. In this article, we will delve into the concept of AI enablement, debunk the common myth surrounding it, and explore its impact on various industries.
So, is AI enablement truly a game-changer or just a passing trend?
Understanding the concept of AI enablement
At its core, AI enablement refers to the process of integrating AI capabilities into existing systems and processes and create efficiencies within them.
It involves leveraging AI technologies to automate tasks, gain insights from data, and make more informed decisions. By enabling machines to think and learn like humans, businesses can unlock a whole new level of productivity and efficiency.
But how exactly does AI enablement work? Let's delve deeper into the key components that make it possible:
- Data collection and analysis: AI enablement relies heavily on the availability and quality of data. Through data collection and analysis, AI systems can learn from patterns and trends, enabling them to make accurate predictions and recommendations. This process involves gathering data from various sources, cleaning and organizing it, and applying advanced analytics techniques to extract meaningful insights.
- Machine learning algorithms: Machine learning algorithms are the backbone of AI enablement. These algorithms enable machines to learn from data and improve their performance over time without being explicitly programmed. By training AI models on large datasets, businesses can create intelligent systems that can recognize patterns, classify information, and make predictions.
- Intelligent automation: AI enablement aims to automate tasks that were previously performed by humans. Intelligent automation involves using AI technologies, such as robotic process automation (RPA), to streamline and optimize business processes. By automating repetitive and mundane tasks, employees can focus on more strategic and value-added activities.
- Natural language processing: Natural language processing (NLP) is a branch of AI that focuses on enabling machines to understand and interpret human language. Through NLP, AI systems can analyze text, extract meaning, and generate appropriate responses. This technology is widely used in chatbots, virtual assistants, and voice recognition systems.
These components work together to enable AI systems to understand, process, and respond to human language, automate repetitive tasks, and uncover patterns and insights from vast amounts of data. The potential applications of AI enablement are vast and diverse, spanning across industries such as healthcare, finance, manufacturing, and customer service.
In the frontline industry, AI can be leveraged to enable faster access to information at the touch of a button. Answering questions, which may otherwise lie deep in a dusty handbook, AI can enable frontline workers to find the information they need to perform their tasks without the need for cognitive overload.
As AI continues to evolve, the concept of AI enablement will become even more critical. Businesses that embrace AI enablement will gain a competitive edge by harnessing the power of intelligent technologies to drive innovation, improve customer experiences, and achieve operational excellence.
The Distinction between enablement and “AI wrappers”
The key distinction in one line?
AI enablement tools can’t be replaced by an extension of ChatGPT.
Many tools out there “wrap” around OpenAI’s ChatGPT to perform a task which otherwise could be done by accessing model directly. In essence, it does not create nor enable value add or efficiency which these models couldn’t otherwise provide.
As a result, businesses must undertake and understand inherently its own requirements for AI and the role for which they wish to take within their organisations. The key for business leaders in this buying space then is to answer the question of whether or not the same AI value add could be scaled and leveraged by a technically competent employee.
So, where does Mercu sit?
While Mercu leverages OpenAI’s models and APIs to provide AI services, the layer of ‘AI enablement’ comes from our unique ability to integrate with WhatsApp as well as in conjunction with the delivery of communications.
At it’s core, Mercu’s BaseAI enables team members the ability to complement their employment knowledge, with the core value add of accessibility and convenience that ChatGPT itself cannot otherwise offer to a team of staff on their feet.
Query past trainings, open forms and navigate through company knowledge all from WhatsApp, powered by AI and a learning methodology designed with convenience and knowledge retention in mind.
Curious to see how AI can truly enable your workforce?
Chat to one of our team today.
