Human And AI Collaboration Is Transforming All Sectors

About ten years ago, AI used to be mentioned, along with the fear of human jobs being taken away. However, nowadays, a more practical approach has been developed, replacing that old fear. AI is considered a tool to extend human capabilities.

The evidence of AI’s potential to change how business is done and how it can benefit society, communities, and individuals in general, exists across many fields. These areas range from affordable and accurate diagnostics and healthcare, public safety guarantee, recommendation engines which can record customers’ preferences and then make a suggestion of relevant products customers will probably want to buy, to conversational bots which can improve what customer experience.

When machines and humans collaborate, greater goals can be attained. Below are just some examples of how AI has been helping to redefine each aspect of human’s life.

Making Human’s Daily Life More Efficient And Much Easier

When you go shopping online, you will probably notice the suggestions for items that pop up on the screen and have a unique insight into your head. Nowadays, machine learning-driven and AI-based recommendation engines are of great importance in e-commerce. They also play a significant role in customers’ journey of experience.

In finance, AI has a variety of functions, including assessing risks, supporting advisory services as well as identifying and handling frauds, which helps to ensure the safety of customers’ money.

In navigation, AI helps us to reach our destinations after we call for a taxi or navigate the locations on the map. Likewise, AI also plays our favorite songs that we ask for on our smartphone.

To sum up, nowadays AI plays a vital role in every aspect of daily lives ranging from how people bank, shop, unwind and commute.

A New Limit In The Healthcare system

AI is making complete changes in the way people look at and also handle issues related to the health and outcomes of the patient. The insights it provides are more meaningful, and the processes are also more intelligent. AI focuses on reducing the workload of manual labor, providing more influential interventions and accurate services to all patients, and providing long-term savings for all people who are involved.

There is an increase in the number of healthcare cases in which AI is used, ranging from surgeries by robots for more precise and accurate operations to electronic records of human’s health which all stakeholders can easily access, accurate diagnostics and smart health assistants staying ahead to manage customers’ health.

Enhancement Of Customer Service Via Conversational Bots

Customers nowadays expect to have a new kind of experience, which is “always-on, always me.” That’s where the conversational bots, or AI-driven messaging solutions, have been making everything better. It is possible for users to interact with these conversational bots by using text or voice to execute transactions, access information, or complete tasks.

According to Accenture Ventures in a survey, there was 56 percent of Chief Information Officers, and Chief Technology Officers claimed that the bots are causing disruption in their sector, whereas, there was 57 percent said that these bots could use minimal effort in return for large ROI (Return on Investment).

The conversational bots can perform complicated tasks by combining many interfaces. In the future, with the help of technology advancements, these bots are going to perform without needing for intervention from human and can also take necessary actions.

These chatbots are being embraced by businesses, although there is skepticism around them on whether they can incorporate context and history appropriately to create the desirable personalized experience and whether they can understand adequately the customers’ requirements through human input. Nowadays, virtual assistants help to enhance the productivity of human agents and to deliver conversational, contextual, and timely customer interactions. Also, they can help to resolve problems quickly and satisfactorily.

Serving The ‘Missing Middle’ Space In The Interaction Between Human And Machine

Although AI, as well as related technologies, is rapidly adopted, some jobs can always be done only by humans. On the other hand, there are also other jobs that intelligent automation will be fully in charge of. However, the combination of machines and humans will be seen in maximum roles. According to Accenture, the given term for this space is “the missing middle.”

In some situations, a decision made by AI isn’t enough. Therefore, it is necessary for us to understand the underlying rationale and reasons. In these situations, people will be required to apply their own intelligence and skills. AI with the complementation of human beings can make faster and more accurate decisions.

There will be more actions seen in this space as the human-machine collaboration increases. Let’s take this as an example; large businesses need to manage numerous projects; in other words, they have to interact with a variety of partners, vendors, and clients. For different interactions, there will be different kinds of risks involved. Usually, enterprises go in the wrong direction due to the complexity of these mentioned interactions. Explainable Artificial Intelligence was applied by Accenture Labs; then this company developed a process with five stages to further explain the risks of the projects, the contracts and also some legitimate reasons behind, which helps them to make better decisions.

Accenture Ventures’ Challenge: “Applied Intelligence”

The fact that AI has been driving transformation across different sectors, use cases and industries have been clearly seen. It helps to make things faster, more efficient, and better. Applied Intelligence, which is a unique approach of Accenture Ventures, aims to combine AI with automation, analytics, and data, helping to comprehensively transform businesses across all processes and functions, maximize current investments, developing new technologies and finally scaling arising opportunities.

The 2^nd version of ‘Applied Intelligence’ Challenge this year is searching for start-up businesses which grow with deep technology and also are the best in B2B (Business to Business) use cases in Artificial Intelligence, Industrial AI, Automation, Analytics, and Data.