Role Of Artificial Intelligence (AI) In Architecture

Artificial Intelligence

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20 Dec 2021
6 Min read

Role Of Artificial Intelligence (AI) In Architecture

Artificial Intelligence (AI) is currently used in modern businesses for more than just gathering data to better programme computers for various jobs. It’s leveling the playing field and making AI a necessary component for organizations to grow and innovate.

An overarching AI architecture is required to move businesses to the next level. When paired with other advanced technologies like natural language processing (NLP), automation, machine learning (ML), and more, having a robust AI architecture will continue to enable huge digital change across enterprises and business sectors.

According to companies across industries, customer experience is the foundation for corporate success and essential to staying ahead of the competition. AI has supplemented – not replaced – human talents to improve the way organizations connect with their consumers by optimizing exchanges between people and automated technologies. We must investigate how AI may be incorporated into existing business systems to construct an AI architecture of the future to unlock AI’s actual worth for enriching customer experience and enhancing communications.

Future-Proofing Operations Through Digitization

Businesses have changed dramatically in the last year and a half, as the COVID-19 pandemic impacted how we operate and interact online by allowing individuals to stay connected even when separated. This has resulted in greater adoption of digital methods across various applications, including artificial intelligence (AI) and automation, to assure business continuity, produce improved outcomes, and curate high-quality contactless experiences.

Businesses must now construct a multi-layered AI architecture that combines industry knowledge with cutting-edge technology such as natural language processing (NLP), robotic process automation (RPA), machine learning (ML), and sophisticated analytics. When applied over a cloud-based architecture, it can positively influence numerous business activities, including sales and marketing, customer support, operations, finance, human resources, and more. What happens now that the core parts of conversational automation and AI are in place? How can we improve our engagement and interactions with people and machines by further developing AI and maximizing its potential?

The next step towards more intelligent AI is comprehending emotion and analysing visual data. Integrating speech and facial expressions to understand the full context of human discussions is where AI’s true potential lies. Businesses will witness a reduction in overall operational expenses, increased revenues, and improved efficiencies due to implementing AI across the board.

The Science Of Emotion And Technology

According to IDC Futurescapes, at least 65 percent of Forbes’ Global 2000 companies will use NLP, machine learning, and deep understanding by 2022. These models will allow for use cases such as task automation and question answering in customer service, human resources, procurement, etc. By delivering automated, intelligent, and valuable discussions with customers that create better business results, this powerful marriage of AI and video has the potential to usher in new waves of transformation.

Businesses will be able to use video technology to analyze, analyze and better comprehend people’s facial expressions, emotions, and levels of engagement during meetings and when customers connect with businesses. The information gleaned from this data will assist organizations in making better-informed decisions that will improve their operations. Above all, AI will contribute to the advancement of better, more human communications through digital channels.

For example, a virtual conference speaker addressing a crowd of more than a hundred people will never honestly know if every person in the room is paying attention. Companies that use video AI, on the other hand, can detect and interpret facial expressions and eye movements to determine how attentive an audience is. This data can then be sent back to the speaker, allowing them to learn and improve their presentation and public speaking skills during and after the event. The data may even determine how the audience feels about a particular product or service.

The Capacity To Change Is Limitless

The ability to “detect and act” on all aspects of conversations – including visual, emotional, and engagement cues – is becoming increasingly vital in today’s digital-forward environment. A robust Artificial Intelligence (AI) architecture that combines all aspects of a business will be a strategic differentiator for firms trying to gain a competitive edge, allowing them to innovate and alter entire industries. As businesses become more reliant on intelligent technologies to support and improve the quality of their interactions with customers, AI will continue to play a crucial part in the future of customer experience.

While a work in progress, AI as an “all-thinking, all-knowing, context-switching” technology is still a long way off. Only 20% of AI will be closer to artificial general intelligence (AGI) by 2026, according to IDC. AI will be capable of actual thinking, human-like logical leaps, and the ability to connect several bits of data from various sources to arrive at a comprehensive response at that time – but that is still five years away.

Conclusion

In the future, Artificial Intelligence (AI) architecture will enable fresh waves of digital transformation by providing automated and intelligent conversational and collaboration tools. This will improve communication between all divisions within a company, resulting in better, more unified outcomes.

So, if you wish to grow your business using AI architecture, Contact the ONPASSIVE team to know how.

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