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Generative AI, also known as artificial intelligence, can generate new material, including text, code, and graphics. It has the potential to revolutionize many industries, including communication product development.
In the enterprise world, customer experience is everything. Businesses need to find ways to provide their customers with a seamless and personalized experience across all channels. Generative AI can help them do this by automating tasks, generating personalized content, and providing insights into customer behavior.
- It will automate content creation, such as writing articles, generating reports, and creating marketing materials. This can save time and resources while maintaining high quality.
- With Gen AI, chatbots will provide more natural and human-like interactions, enhancing customer support and communication in various industries.
- It will be the accuracy of language translation services that makes cross-language communication more accessible and effective.
- It will analyze user data to personalize communication, tailoring content and recommendations to individual preferences.
Additionally, generative AI will generate realistic speech, enabling applications like virtual narrators, voice assistants, and more.
Prominent Generative AI Models
OpenAI’s GPT (Generative Pre-trained Transformer) GPT-3 is one of the most famous generative AI models, known for its ability to generate human-like text. Read more.
Google’s BERT (Bidirectional Encoder Representations from Transformers) – BERT revolutionised natural language understanding and generation. Read more.
Challenges and Ethical Considerations
The rapid advancement of generative AI raises important ethical questions, including concerns about misuse, bias in generated content, and issues related to privacy and consent. These challenges require ongoing research and responsible development.
From BCG reports
Generative AI is expected to capture around 30% of the overall AI market by 2025, reaching approximately $60 billion in Total Addressable Market (TAM).
Past technologies have demonstrated a variety of adoption levels and levels of maturity in their usage.
What do the leaders say…
Businesses Impacted by GenAI
How Generative AI Can Improve Enterprise Customer Experience in Communication and Product Development
To enhance the enterprise user experience in the development of communication products, one can apply it in a variety of ways. Here are a few illustrations:
- Personalized communications: At scale, it can provide customized communications for users. You can use it to create customized emails, social media postings, and even chatbots that can naturally converse with clients. By doing this, companies may better connect with their customers and give them experiences that are more relevant to them.
- Product recommendations: Customers receive personalized product recommendations thanks to generative AI. This makes it easier for customers to identify the goods and services they are most likely to find appealing, which may increase sales and improve customer satisfaction.
- Client support: Using automation to respond to client inquiries and resolve difficulties can improve customer service.As a result, customers may receive quicker and more effective support, with customer service representatives having more time to focus on complex issues.
- Insights for product development: Using it to understand consumer behavior and preferences allows businesses to develop new communication features and products that cater to client wants based on this knowledge.
Advantages of Generative Artificial Intelligence in Communication Product Development
In the development of communication products, generative AI has various advantages. I’ll list a few:
Customer satisfaction has increased. By offering individualized communication, support, and insights, it can assist companies in improving their customer experience.
Sales growth: It can assist companies in growing their sales by making personalized product recommendations and enhancing customer service.
Cost savings: It can save companies money by automating processes and boosting productivity.
Accelerated product development: By offering insights into consumer behavior and preferences, generative AI can assist firms in accelerating product creation.
Example: Telemo
Telemo is a company that uses generative AI to develop communication products for enterprises. One of its products, Telemo’s AI-First, is a virtual assistant that can be used to answer customer questions, resolve issues, and provide support. Telemo Voice Assistant is powered by generative AI, which allows it to have natural conversations with customers and understand their needs.
Telemo’s products help enterprises to enhance their customer experience by providing personalised communication, support, and insights.
How Telemo’s Products Use Generative AI to Enhance Enterprise Customer Experience
Here are a few examples of how Telemo’s products use generative AI to enhance the enterprise customer experience:
AI Chatbot: In the realm of AI chatbots, virtual assistants promptly respond to customer questions and may escalate the situation if needed.
Voicebot : startelelogic has developed its own native AI voicebot engine. These AI agents engage in verbal conversations with millions of users within milliseconds, using speech recognition and synthesis technology.
Contact Center: Customer behavior, market trends, and performance indicators are all useful information that you may get through customer experience communication systems.
In summary
In the development of communication products, generative AI is a potent tool that may improve business customer experience. Businesses may strengthen their relationships with customers, boost sales, cut expenses, and improve product development by utilising generative AI to customise communication, offer assistance, and get insights into client behaviour.
Umesh Pande