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What future do BPO companies have in the face of Artificial Intelligence

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he BPO sector welcomes the future of AI

Opportunities and threats have increased due to technological developments in the business and private sectors. The emergence of COVID-19 and the digital revolution of society and commerce have hastened technical change even more. This prompts a lot of important queries. Is there any hope for the Business Process Outsourcing (BPO) sector? How do you innovate and prosper in such a situation? The BPO sector will endure and prosper, but it must be ready to change and keep up with rapid technological advancement.

In a 2018 report, researchers from Yale and Oxford universities suggested that by the end of this decade, AI will surpass humans in many routine tasks. For instance, they forecast that AI would be more adept than humans in certain skills by 2027 such as driving and writing essays. The future we have seen in the movies is now a reality. Everyone has consequently begun to doubt long-standing corporate tactics and are now reevaluating their strategies.

However, even while AI can automate many tasks, the most challenging issues facing humanity today will require a combination of human input and trained AI algorithms, as well as the efficiency and quality that results from this combination.

Thanks to advancements in technology, outsourcing has become increasingly popular and accessible, enabling businesses of any size to find solutions with just a few clicks.

HOW ARTIFICIAL INTELLIGENCE CAN BE USED

Although the terms artificial intelligence (AI) and machine learning (ML) are common, what do they actually mean?

Unlike the inherent intelligence exhibited by people, AI is intelligence demonstrated by robots. The usage of neural networks, which imitate cognitive processes depending on a given input, has conditioned it. This is comparable to how the human brain functions. Artificial intelligence (AI) is distinct from natural intelligence in that it lacks consciousness.

It was during the Second World War when AI research began. It has recently become viable and inexpensive due to improvements in computing technology and performance. Although still in its infancy at this point, AI technologies are capable of matching or even outperforming humans in some activities. Weak AI is the name for this type of AI. A good illustration of this is IBM’s Deep Blue, which, in the late 1990s (Kasparov vs. Deep Blue), became the first computer to defeat humans in the game of chess. As good as Deep Blue was at chess, it was incapable of any other task, which is a sign of a weak AI.

Strong AI, often known as artificial general intelligence (AGI), is a type of AI that is capable of learning any task that can be learned by humans. It is what we typically refer to as artificial intelligence (AI)—a totally autonomous, intelligent being. We are still decades away from that degree of development, according to many scientists, and some experts think we will never be able to produce intelligence of that caliber.

WHAT ARE SOME OF THE MOST REGULAR WAYS AI IS USED IN BUSINESS?

AI can assist humans in many problem-solving endeavors. Its most frequent uses include:

  • Data tagging, which labels items in audio and visual media
  • Quality control
  • Automatic synthesis
  • Automated translation
  • Speech recognition
  • Natural language generation

One of the most widely used forms of AI is machine translation. It enables businesses to quickly and cheaply translate content across language barriers. Machine translation is often used by law firms in the US to support multilingual eDiscovery procedures. To convert a vast number of documents into one language so they may be easily studied, machine translation is utilized. Legal practitioners can more easily understand the essence of the text and make better decisions about their cases thanks to the capacity to translate these documents at scale and at low cost. In an era of cross-border e-commerce and a heavily intertwined global economy, this is becoming more and more crucial.

Additionally, machine translation enables businesses and translators to cut expenses while handling more content, expanding into more markets, and speeding up the release of marketing materials. This is a fantastic example of how AI is bringing about change across several industries. It improves productivity and frees up human attention for new activities with added value. The localization and expansion of businesses in the translation sector as a whole have been spurred by the rise in digital marketing activities as well as the high demand for content production and translation.

Natural Language Generation NLG is a technology that creates text from just a few words. Applying it to product specifications to create a full-text product description that can be utilized for e-commerce experiences is a fantastic example of this.

In order to assist readers in comprehending material faster, auto-summarization, or the process of creating a summary from lengthy documents, this type of AI reduces the text to its essentials. With the use of this technology, humans may quickly analyze text and improve their decision-making based on relevant data.

WHAT IS ROBOTIC PROCESS AUTOMATION?

Software bots or AI digital workers are used in robotic process automation (RPA) to automate repetitive tasks. Opening emails and their attachments, relocating files and directories, copying and pasting text, and completing forms are all tasks that it is capable of handling. 

However, more operations can now be automated thanks to recent technological advancements. RPA may therefore be seen as posing a threat to the BPO sector. According to the CEOs of the companies surveyed in Deloitte’s latest “Global RPA survey,” roughly 20% of the labor in their organizations may be automated by RPA tools.

It’s interesting to note that the same study states that RPA enabled 61% of these organizations to lower costs, allowing them to reallocate resources to other higher-value jobs. As a result, many businesses and BPOs are incorporating RPA and AI into their operational procedures. By 2020, 72% of businesses are anticipated to test and use RPA.

No matter what, RPA is already at our doorstep and it will alter how businesses run. The majority of businesses do not anticipate reducing their personnel, which is good news. Instead, they hope to provide their personnel with more fulfilling jobs to complete. They will eventually be able to achieve previously unheard-of levels of productivity. 

What effects will AI have on the BPO sector?

AI will impact the BPO sector in a number of ways, including:

  • Assisting businesses in automating routine, uncomplicated chores,
  • Enhancing human workers to enable them to concentrate on higher-value jobs.
  • Giving managers knowledge of difficult decision-making processes.
  • Modifying company processes and accelerating business growth.
  • Improving productivity and cutting costs.

It’s likely that incorporating AI into your business processes will give birth to revolutionized operations. It will enable you to tap into your workforce’s full potential, refocus them on tasks that add more value, and give them more time with your clients. Three crucial components—AI technology, data, and humans—must be included in a well-thought-out strategy for the successful deployment of AI technologies. To succeed, these three components must be combined.

The BPO sector can gain a lot from implementing AI and boosting value-added operations within their business. Additionally, it creates a chance to go from low-value services to higher-level services that the high-tech industry wants. Although AI will be helpful in many ways, ignoring it could cause the organization to fall behind or even become outdated in the marketplaces of the future.