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Enterprise Use Cases For AI Transformation

Forbes Coaches Council

Thomas Lim is the COO of Technicorum Holdings, a Web 3.0 Coach & Dean with Thrive Consulting and Master Trainer: PEARLS Coaching Framework.

In the dynamic world of technology, monumental strides in artificial intelligence (AI) have permeated every industry, from entertainment and healthcare to education and event management. AI presents an unparalleled opportunity for businesses to streamline operations, personalize experiences and make data-driven decisions. In this article, we will delve into how these key considerations play out across various sectors.

Beyond the OpenAI ChatGPT shared environment, AI adoption is all about enabling enterprises to install their own enterprise-grade large language model (LLM) AI infrastructure. The key to this is that the content needs to be secured and the machine learning process kept within a "walled garden." I expect that demand for consulting and implementation services of LLMs will grow exponentially, particularly those with a complete AI tech stack with a good enterprise-grade chatbot prompt manager and a personality modulation layer. The ease of uploading and training AI via machine learning and having an autonomous task agent would make for a good enterprise solution whereby the data is secured within its own walled garden.

Reimagining Interactivity In Entertainment Through AI

In entertainment and communication, an emerging trend is the creation of interactive, hyper-realistic avatars. Whether these avatars serve as personal communication tools or professional presenters, they're reshaping how we interact with digital platforms.

Critical to the success of AI in this arena is a user-centric approach. Platforms now offer a spectrum of avatar options—from basic talking heads to full-body motion-capture avatars, mirroring the user's movements and expressions. This tiered approach ensures that all users can access AI-enabled features, regardless of their budget.

A user-centric design approach is pivotal. First, identify the diverse needs of your user base. Then, shape your AI service offerings around these requirements. By providing a variety of solutions, businesses can ensure the broadest audience can access and benefit from their AI technology, driving both customer satisfaction and bottom-line growth.

A media and entertainment client of mine seeks to increase customer engagement. The idea of a bot is "old-school," but a personalized concierge can be a reality based on AI. Having a trained AI companion that remembers its interactions with every customer and is not only able to answer very specific queries but also initiate "conversation" is a game changer.

In general, AI-enabled systems that can "relate" to their users will provide a competitive advantage, whether these take the form of interactive services, customer support, training or all manner of advisory functions.

Democratizing Education And Wellness With AI

In the educational sector, generative AI is a powerful tool for addressing challenges like content creation. For many educators, creating comprehensive, engaging e-learning courses can be a daunting task. However, AI can revolutionize this process, helping formulate lesson plans and construct slide decks and even creating avatar narrators.

The path to democratizing education with AI starts with understanding the industry's pain points. One such obstacle is that e-learning courses are typically linear, and irrespective of the learner’s pace or prior knowledge, everyone is presented with the same material. A project I am working on seeks to make "mass customization" a reality with AI. The envisioned AI solution will chat with the learner at the outset and establish some baselines, then recommend a course flow that is personalized. Frequent assessments will target the learner’s weaker areas, thereby helping ensure optimal learning outcomes are achieved. Such a product would disrupt remote learning and also democratize access, delivering high-quality educational resources to a wider audience in a tailor-made manner.

In health and wellness, AI can revolutionize personalized well-being. What I am postulating here is a full wellness ecology built around the user. For instance, an individual, John, using an AI-driven health and wellness platform inputs his personal details and health metrics. The AI platform, utilizing this data, crafts a comprehensive, dynamic wellness plan tailored to John's lifestyle and health goals. By monitoring John's progress and adjusting recommendations based on real-time data, the AI guides him effectively toward his health goals and gamifies the wellness journey for him.

This exemplifies how health and wellness providers can leverage AI to provide personalization that enhances user experiences and health outcomes based on parameters that adapt to and are calibrated to the user’s motivations and confidence. By making their wellness goals attainable, the chances of a sustained health and wellness journey can be increased substantially.

Revitalizing Event Management Through Virtual Reality

In the event management sector, virtual environments can create compelling, immersive experiences that often cannot be replicated in real life. From corporate events to educational seminars, AI-driven virtual environments provide a novel way to engage audiences and transcend geographical limitations.

Creating these virtual experiences requires a blend of innovation and big-picture thinking. The only limit in virtual reality is the imagination. Therefore, the focus should be on designing unique experiences and iterating based on user feedback. Embracing a culture of innovation and continuous improvement can lead to groundbreaking virtual offerings that redefine the event experience.

A client of mine is experimenting with auto-generated 3-D avatars in virtual worlds that are thematic based on current real-world events. Imagine being able to participate virtually in a fully AI-generated event that complements a "live" event. The virtual event would even be personalized for you via a 3-D avatar concierge guide. Experiencing such virtual realities may be possible very soon.

While AI has transformative potential for businesses, it carries risks, including data security concerns, overreliance on technology, the rapid pace of change and ethical concerns like algorithmic bias. Business leaders would do well to strike a balance between AI adoption and risk management, taking a thoughtful, strategic approach to incorporating AI into their businesses. They must ensure not only technological preparedness but also an ethical, legal and cultural readiness for this disruptive technology.

In conclusion, implementing AI across different industries requires a deep understanding of the challenges specific to each industry, coupled with a commitment to a user-centric design approach and enabling personalized experiences. With a focus on individual preferences and data-driven insights, businesses can harness the power of AI to better transform their operations, revolutionize their customer experience and remain at the forefront of their industries. As we navigate this AI revolution, the key to success lies in being responsive to user needs, daring to dream big and being committed to educating and reskilling the workforce to work with, and not against, artificial intelligence.


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