Artificial intelligence (AI) is quickly becoming integrated into our daily lives, revolutionising how we view automating human tasks. From writing basic texts to creating complex code, AI is increasingly embedded in our routines.
One of the most influential AI tools is the API for large language models (LLM), which enables businesses to embed AI into their operations. These models enhance efficiency, improve decision-making, and unlock new opportunities for growth.
Serverspace’s new service — the GPT API — targets just that: it allows companies to develop AI-powered systems for automating customer data analysis. In this article, we’ll talk about how AI is reinventing industries, its key features, and how it helps businesses that use its service lead the market.
Customer-Focused Solutions
Many companies are using AI to minimise spending, refine workflows, and boost service quality. For instance, Amazon employs Amazon Comprehend, an AI-driven tool that uses machine learning and natural language processing (NLP) to process product reviews. This tool accelerates review analysis by a factor of 596 compared to manual methods. Similarly, Microsoft integrates AI into its Dynamics 365 Customer Service Insights platform for enhanced customer interactions.
On another front, IBM utilises its AI tool Watson to streamline customer request classifications, cutting processing time by half and increasing classification accuracy from 800 to 900 correctly sorted cases out of 1,000. As a result, the company manages 300 additional customer queries daily.
Moreover, AI is automating responses to common inquiries. For example, Zendesk’s Answer Bot reduced response times from 10 to 2 minutes while allowing staff to focus on more complex issues, as it now handles about 2,000 requests daily, freeing up 30% of employee time.
Optimising Business Operations
Many modern organisations are turning to AI to enhance their functional efficiency with impressive results. UiPath, for example, leverages AI within its Process Mining solution, analysing over 10,000 business operations each month. This has helped them identify over 100 obstructions in workflow, resulting in a 20% productivity increase and automating 70% of processes within the company.
AI has also significantly impacted employee training. IBM used Watson to cut training preparation times from 20 hours to 10, saving $500,000 in development costs. Watson generates personalised training materials by analysing employee data, increasing engagement and comprehension effectiveness. In a similar manner, Coursera introduced an AI-powered Mentor Bot to address student questions, reducing response times from 10 minutes to 2 and boosting active student engagement by 15,000 each month.
The Role of AI in Software Development
AI is transforming software and web development processes by making them quicker and more convenient. Facebook introduced M2M-100, an AI-powered translation tool based on deep neural networks capable of processing up to 4.5 billion translations, improving accuracy by eliminating the need for English as a pivot language.
On the development side, Stack Overflow integrated AI into its platform Stack Overflow for Teams, which cross-checks programmers’ questions with an existing knowledge base, reducing the time developers spend on finding technical solutions from 40 to 20 hours a month per employee. This AI integration has saved the company $14.42 million over three years, while drastically improving employee efficiency.
Wix, a leading website creation platform, also leveraged AI with its Wix ADI tool, automating website development. By analysing user preferences, it automatically generates custom website designs, cutting development time from 10 to 3 hours, and driving a 5,000 monthly order increase. As a result, the company saw over $1.24 billion in revenue from creative services subscriptions.
Enhancing Information Security
The impact of AI can likewise be seen in information security advancements. Splunk incorporated OpenAI’s GPT-3 into its SIEM (Security Information and Event Management) system, allowing the company to examine extensive data masses without requiring as many both human and material resources. This automation enables the security team to reduce processing time from 5 hours to 2, as well as to manage 300 more incidents each month and prevent 120 additional threats.
On the same note, Darktrace uses AI to monitor network traffic in real-time, detecting potential threats and categorising incidents by risk level. This technology cuts response times from 5 hours to 2, preventing an additional 300 threats monthly.
AI's Role in Marketing
Marketing is also not exempt from the impact of AI, as it is revolutionising the area by providing businesses with new ways to make campaigns more effective. Alibaba introduced an AI Copywriting Tool that automates marketing material creation by analysing product data and campaign goals. The end result of its work can be indistinguishable from man-made text as it possesses the style, tone and mood of text that’s characteristic for human wording. The tool can generate 20,000 lines of text per second, slashing the time required for content creation from hours to mere seconds.
AI’s impact reaches beyond technology and business; it’s improving the overall quality of life by automating routine tasks and saving time. The trend of integrating AI into business will continue to expand rapidly, leaving companies with a choice: adapt and thrive or risk falling behind in the era of artificial intelligence.