Generative AI is by far one of the most important milestones in the history of artificial intelligence. With this technology, even smaller companies can benefit from artificial intelligence enhance their operations, and save a lot of time. In this post, we want to show you four areas in which generative AI consulting can help you up your game and produce better results. Let’s have a look!
While generative AI has transformed many sectors, today, we want to focus on four of them:
- Coding
- Data insights
- Software testing
- Customer service
We selected these four because they are rather universal, and thousands of companies need them in their daily operations.
Generative AI in Coding
Generative AI significantly streamlines the coding process. It’s possible because gen AI can help you with:
- Automating the generation of code snippets, modules, or even entire applications
- Providing suggestions to your team on how to improve the coding process.
With gen AI, developers can rapidly prototype and iterate on their ideas without writing every line of code themselves. Generative AI tools can actually convert natural language descriptions into code, enabling even people who are not experienced in coding to participate in software development.
This way, your IT team can focus on more complex tasks because the first part of the work is automated almost 100%. And as we mentioned, generative AI can also suggest improvements for existing code, thus helping your team to maintain the high quality of the code and reduce the time spent on debugging and manual reviews.
This is what one company did. They analyzed how much work goes into coding on a daily basis. This included development, automation testing, and unit testing. And this company found that around 70% of the daily work was coding-related. This company decided to implement a gen AI tool that would provide suggestions for current coding work. The result? This company got a 2x increase in productivity and a 50% reduction in reworking the code.
Generative AI in Data Insights
Here, generative AI plays a crucial role when it comes to transforming raw data into actionable insights. By processing vast amounts of data on auto-pilot, AI algorithms can quickly identify patterns and trends that might be overlooked by human analysts.
What’s more, gen AI models can simulate different scenarios based on historical data, thus helping your business make informed decisions. This application is especially helpful in such areas and sectors as finance, marketing, healthcare, and supply chain management, where forecasting and trend analysis help with planning and increasing operational efficiency.
One European company implemented an automated data platform that utilized generative AI. As a result, this company could get a higher level of business value from their data without breaching the GDPR regulations. After implementing this gen-AI solution, this company saw a 50% year-on-year growth, a 20% increase in performance and over $7M in savings over the course of just five years.
Generative AI in Software Testing
Generative AI is immensely helpful when it comes to software testing. This technology can help you with:
- Automating the creation of test procedures and cases
- Identifying edge cases
- Predicting potential software failures.
AI-driven testing tools can generate comprehensive test procedures and actions that cover a wide range of potential scenarios. As a result, your company can ensure that the software you’re working on is thoroughly tested under various conditions, reducing the risk of bugs and improving its overall quality.
One Canada-based insurance company implemented such a solution. They introduced generative AI software testing solution that allowed them to achieve a more effective testing process. The company reported 40% savings in work and slightly over 30% increase in the overall quality assurance.
Generative AI in Customer Service
Lastly, generative AI plays a big role in customer service. Here, this technology is used to enhance the customer experience and improve customer service efficiency. Of course, the first thing that comes to mind are AI-powered chatbots and virtual assistants that can handle the majority of customer inquiries, thus providing instant responses and personalized assistance to your customers.
That’s because generative AI tools are capable of understanding natural language and can generate relevant answers, making customer interactions more human-like and effective. As a result, your company can reduce operational costs and let human agents or consultants handle more complex and sensitive interactions.
But generative AI in customer service doesn’t end here. In 2023, Wendy’s started their journey to implement generative AI offerings in their restaurants (starting with Ohio). Generative AI at Wendy’s will allow it to have conversations with customers but also to understand made-to-order requests and generate responses to frequently asked questions.
Wendy’s gen AI solution is powered by Google LLMs that have access to Wendy’s menu, the company’s business rules, and the logic of customer interactions. The solution is also integrated with the restaurant’s hardware and the POS system. Wendy’s expects that this new technology will take the complexity out of the ordering process so employees can focus on preparing and serving meals, thus additionally shortening the whole process.
Use Generative AI Consulting to Grow Your Business
All of the technologies and solutions we showed you in this post are already available. And because generative AI is more and more popular, they are reachable even for smaller companies. If you want to achieve similar results or utilize generative AI in any other way, start with the generative AI consulting service. It will help you decide on how to implement generative AI and where. One of the companies that offer such a service is Addepto. You can reach out to them to find out more, and they will guide you through the whole design and implementation process.
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