Generative AI presents an exciting opportunity to empower people without a technical background to harness the power of data – all through the simplicity of natural language interaction.
Imagine a world where anyone can effortlessly navigate vast amounts of information, ask questions seamlessly, and discover connections within data. Generative AI offers an exciting opportunity to enable people without a technical background to harness the power of data, all through the simplicity of natural language interaction.
By far, generative AI has proven its value around helping with content creation. ChatGPT has landed on most people’s computers as an everyday tool. But generative AI has great potential beyond supporting content. This can have a huge impact on how data is used to create business value.
Let’s explore the transformative impact that GenAI can have by looking at a few select use cases that we believe many organizations could potentially benefit from.
At the end of this article, you will also find tips for moving from proof of concept to production deployment.
1. Improve digital customer service with GenAI
Managing a high volume of customer inquiries can be a daunting task. Traditional methods of finding answers through laborious, manual data investigation often consume valuable time and resources. However, with Generative AI, customer service operations can be supported to provide efficient, personalized service in a language the customer understands.
Your client may interact with you in a language you don’t understand, but the dialogue between the two of you will remain fluid.
GenAI’s ability to extract insightful insights from massive amounts of data in seconds is a game-changer for customer service operations. Whether asking questions about product features, troubleshooting technical issues, or seeking recommendations, GenAI can quickly provide accurate and complete answers, saving valuable time for customers and agents.
Generative AI in Customer Service – Things We Learned to Pay Special Attention to
There is a risk of hallucination, and since people often tend to take the GenAI’s answer as the truth, it is important to emphasize that the responsibility for interpretation ultimately lies with the human.
It is important to test the translations. For example, if GenAI is used in customer service to translate answers into Turkish, it can be difficult to be sure that the answers are correct and correctly worded. Thorough testing is essential.
2. Empower your people with real-time insights powered by GenAI – to learn, respond and improve your processes
GenAI can analyze data collected from different processes. Whether data is collected using a process mining tool or analytics, GenAI provides powerful tools for in-depth data analysis.
One of the remarkable advantages of GenAI is its ease of use. With GenAI, there’s no need for coding or technical skills to learn. GenAI’s natural language processing capability allows users to simply ask questions.
This accessibility democratizes information about data, making it accessible to a wider range of people within the organization, regardless of their technical background.
Think of GenAI as a tireless process assistant, always ready to dig deeper into data to uncover hidden insights and optimize operations. From supply chain processes to IoT device data management and financial data analysis, GenAI has the potential to revolutionize a wide range of functions. It allows users to explore unstructured data, discover patterns and gain actionable insights that can lead to significant efficiency improvements and cost savings.
Generative AI working with process data: what we have learned to pay close attention to
When it comes to process data, the large amount of data and its real-time nature constantly provide new insights to GenAI. In such situations, the best results can be achieved by combining different AI technologies, such as Machine Learning (ML) and GenAI. Machine learning manages and learns from structured data, while GenAI can act as a machine learning assistant. It is also important to monitor how well GenAI can infer from existing data. For example, if a user asks why a production line is running 0.5% slower today than yesterday, the answer may not be correct if GenAI cannot find relevant data to infer from. Human validation is essential when interpreting information from GenAI.
3. Strengthen the security operations center with GenAI to deal with cyber attackers
Cyberattackers use automation and AI-generated exploits, along with convincing phishing emails, to gain access to an environment or trick targets into handing over their credentials in a single successful phishing attempt.
Fortunately, rigorous security controls and modern security technologies have proven effective in thwarting the most common attacks in their early stages. However, the evolution of attacks requires a proactive and comprehensive approach.
A modern security ecosystem powered by AI and machine learning helps monitor complex, multi-stage attacks and create an incident timeline by aggregating various attack stages and events.
Enter the GenAI solution, which makes the work of security analysts easier by quickly providing a complete understanding of the attack and suggesting appropriate countermeasures. With GenAI-based incident response, analysts can dig deeper into the dynamics of attacks and countermeasures, while simultaneously training the AI. This symbiotic relationship helps build a collective knowledge base capable of automatically preventing similar attacks in the future.
4. Make it easier for your employees to maintain data quality on an ongoing basis with GenAI
Data quality has always been important, but generative AI solutions make it even more important. If your data is poor quality, your prompts will also perform poorly. But have you thought about how generative AI can also help improve your data quality by simplifying data management?
Business people have the best understanding of their data. But managing data rules and metadata tasks can seem tedious and time-consuming.
With GenAI, you can reduce complexity and manage your data effortlessly through natural language interaction.
By leveraging its ability to detect anomalies, GenAI helps identify inconsistencies and suggests improved data rules for continuous improvement.
For users, this means a streamlined and user-friendly data management process, without the need for deep technical expertise.
Tips for Harnessing the Power of Generative AI and Quality Data to Drive Business Value
The combination of GenAI and quality data has become a powerful force that can drive immense business value. With a wide variety of powerful AI models available, the focus is now on understanding the underlying business problem, selecting the appropriate model, executing the necessary actions, and integrating it seamlessly into operational systems and systems. user workflow.
GenAI applications typically serve as “assistants” to experts, helping them perform various tasks. To ensure successful implementation, it is essential to involve experts from the start.
Collaborating with experts during the design phase, validating the results, and continually refining the GenAI application based on their knowledge is essential to developing a solution that will be used effectively.
High-quality data plays a key role in the success of GenAI applications. The adage “garbage in, garbage out” still applies. If the data quality is poor, the results generated by the model will also be compromised. Therefore, organizations must prioritize data quality efforts to ensure that the information generated by GenAI is accurate and reliable.
It is important to note that implementing GenAI does not require perfection initially. This is the stage where experimentation is encouraged. By involving experts in validating model results, organizations can gain valuable insights, identify areas for improvement, and strengthen overall model performance.
Now is the time for organizations to embark on a journey of experimentation with GenAI. Using the power of generative AI models and high-quality data, businesses can create innovative solutions, streamline processes and generate business value.
Ready to start your GenAI journey? Let’s connect.
