ChatGPT: Your Partner in Enterprise Data Management
The Benefits of Integrating AI into the Workplace
In recent years, the adoption of generative AI in workplaces, especially among larger companies, has become more common. Chatbots for customer support, AI for product suggestions, and intelligent filters to manage emails are becoming more and more popular. And organizations are now automating manual tasks such as knowledge management and document processing. To comprehend this process, I explored the capabilities of ChatGPT for handling enterprise data.
In this post, I’ll share my insights on the integration of AI and automation in work environments and discuss how ChatGPT can contribute to effective data management.
The present condition of automation and AI in the workplace
As of 2023, nearly 70% of companies already integrated automation technologies within one or more divisions or functions of their businesses. They are mostly directed towards tasks involving inputting data, managing digital documents, overseeing sales and customer support, and supervising inventory.
However, AI is still struggling to keep up with crucial tasks and processes integral to daily operations in enterprises.
- 90% of global employees struggle with repetitive, time-consuming tasks, consuming about 21 days of their annual working hours.
- 47% of digital workers face difficulties in accessing essential information vital for effective task completion.
- 58% of employees highlight the challenge of swift document access as a key issue in modern digital workplaces.
Not having a focus on valuable automation and failing to manage knowledge and documents reduces business productivity, leading companies to discover fresh approaches to automation, like ChatGPT.
ChatGPT’s potential in the workplace
ChatGPT, an AI chatbot that understands human language and generates responses, was launched by OpenAI in November 2022. Within a few months, it attracted 100 million active users. In less than a year, Coca-Cola, Snap.inc, Slack, and Salesforce adopted it.
Being the world’s most successful AI project to date, ChatGPT swiftly entered digital workplaces, helping with customer support, marketing, content creation, software engineering, sales, and recruitment and improving business productivity by an impressive 74%.
Still, the question remains: How can ChatGPT be used beyond casual web searches and email text creation?
How can ChatGPT help enterprises with data management?
If an LLM can learn from the internet, it can also learn from unique business knowledge, like company documentation. It is useful for workplaces because:
- A special tool can pull out text from different file types like PDF and JPEG. It can help analyze various business documents.
- With LLM tools, you can work with many documents at once. The tool turns small bits of data into special word codes, which help sort the text.
ChatGPT uses special databases to store documents and their codes. Data is split into parts and stored as codes, including user questions. The system measures how close these codes are to each other, showing the most relevant ones.
By using this system, companies can make a virtual assistant similar to ChatGPT. This assistant can understand company information and help with work tasks.
How does that work in practice?
Imagine an Account Executive needs details about a client the company has worked with for 30 years. Some info is in offline files, others in Word, Excel, and PDFs. There’s also scattered data in general sources, like reports or databases. Without AI, analyzing it takes a long time.
Here’s how it works with an LLM tool.
- Upload files to create an inside database.
- Type in something, like the client’s name.
- Use special instructions to “talk with the documents.” It lets you control how the LLM looks at data and gets info quickly.
- Find more ways to use documents. When you ask, LLMs can do helpful things like calculate totals and summarize data.
This kind of solution makes work smoother for people in various jobs and industries:
- Accountants save time dealing with money paperwork, invoices, and pay records.
- HR and hiring teams can automatically check employees’ and candidates’ info.
- Data experts learn about customers faster and automate looking at old info.
- Logistics workers make supply chains better and find delays’ causes.
- Healthcare workers sum up patient histories quickly.
- Civil engineers in construction get exact cost and past project data.
Companies could get a tool powered by LLMs that would solve different tasks for them. Some free LLMs can even learn from their own data, which makes automation even bigger.
What’s next for ChatGPT in the workplace?
I’ve mentioned roles benefiting from AI, especially LLMs. But the real potential of generative AI isn’t fully known. So, it’s wrong to only use tools like ChatGPT for particular industries and user roles. What’s clear is humans still have a big role in handling new tech at work, and your AI success depends on how fast you learn.
Moreover, companies should already be thinking about the other side of automation. Which means taking active steps to handle risks, figuring out the skills needed, and carefully rethinking basic business methods to match different levels of AI use.
