Company executives worried about accidental sharing of company data with ChatGPT

The "State of Generative Artificial Intelligence in the Enterprise" report found that ChatGPT is the most popular chatbot in enterprises, followed by CopyAI (35%) and Anyword (26%). Ranked second and third respectively. However, many companies have banned the use of generative AI tools in the workplace, with ChatGPT being the most commonly banned (32%), followed by CopyAI (28%) and Jasper (23%).

Waseem Alshikh, co-founder and chief technology officer of Writer, said, “There’s so much hype about generative AI these days, we wanted to understand what’s actually going on — who’s using it, what tools they’re using, What are they doing with it, and what are the limitations and constraints within the enterprise. The findings are truly eye-opening. Virtually every industry is at least trying to apply generative AI, and it's not just limited to one function within the enterprise . Generative artificial intelligence is widely used in IT, operations, marketing, human resources, legal, L&D, etc.”

Most common generative AI use cases

According to the survey, generative AI The most common applications of AI are generating concise text for ads and headlines (31%), repurposing existing content for various media and channels (27%), and creating broad content such as blogs and knowledge base articles (25 %).

Alshikh said, “Artificial intelligence saves marketers, UX designers, editors, customer service professionals and others a huge amount of time generating new content from scratch. However, the actual value does not only come from the content The fun parts of the development process come from the tedious parts: things like repurposing, analyzing, researching, transforming, and even distributing content. These things can get in the way when you're busy and need to move quickly, whereas generative Artificial intelligence can handle these things automatically."

Using generative AI in the workplace: a blessing or a curse?

The survey yielded significant findings, one of the key findings being that almost All businesses are using generative AI in a variety of functions, including information technology (30%), operations (23%), customer success (20%), marketing (18%), support (16%), sales (15%) %) and human resources (15%) are both the most common implementation areas.

According to the report, 59% of survey respondents stated that their company has already purchased or plans to purchase generative artificial intelligence tools. According to the survey, about 19% of respondents said their companies are using five or more generative AI tools. Additionally, 56% of respondents said generative AI increases productivity by at least 50%, and 26% said it increases productivity by 75% or more.

According to Alshikh, the industries that most widely use generative artificial intelligence technology are construction and IT, accounting for 16%. Financial insurance, technology services and manufacturing accounted for 8%, 8% and 5% respectively, followed closely behind. Particularly at Writer, we see a lot of use cases in finance and insurance. ”

ChatGPT is considered valuable to the general public because it is free, easy to operate, and highly versatile. It is recognized that the tool has many limitations, including a limited data set, insufficient accuracy, and susceptibility to hallucinations and bias effects, as well as data privacy issues.

Alshikh added: "ChatGPT also recognizes that its accuracy is limited. ". In addition to having the ability to create creative stories and sonnets, businesses must also ensure they protect their brand and reputation. Unfortunately, ChatGPT and other similar tools are leading to an increase in misinformation that must be relied upon for accuracy and Brand consistency is a critical issue for enterprises.”

Writer’s New Product Features

The company recently announced new product features designed to provide its enterprise customers with access to data from To the highest levels of accuracy, security, privacy and compliance in all phases of people’s work. These features include self-hosted large language models (LLMs), allowing users to host, operate and customize LLMs on-premises or in the cloud.

Additionally, the company has introduced the Knowledge Graph on the Writer platform, allowing customers to index and access any data source (from Slack to wikis to knowledge bases to cloud storage instances).

Writer CEO and co-founder May Habib said in a written statement: "We provide enterprises with complete control - from what data the LLM can access, to where the LLM is hosted. If you don't have control, There is no way to control the quality, adverse effects, or security risks of outputs based on generative AI."

Key considerations to reduce the risk of generative AI

Alshikh said that for companies like ChatGPT Business models often gather intelligence from a variety of public sources, which may be good for creativity but not good for brand consistency.

He further pointed out that enterprise leadership has realized that competitive advantages can be obtained by implementing generative artificial intelligence in enterprises. However, they also recognize the risks of using free chatbots like ChatGPT, including the possibility of generating inaccurate content and exposing confidential data.

He elaborated that our Writer’s goal is to bring real impact to the enterprise through actual effects, rather than just staying in novel application scenarios. We have solved issues related to accuracy and privacy, and our technology is being deployed in highly regulated industries, including technology, healthcare and financial services for clients such as Intuit and UnitedHealthcare. ”

Given the popularity of ChatGPT, he recommended that companies consider whether ChatGPT or any OpenAI-based tool complies with their data privacy, branding and regulatory policies. In addition, he recommended that companies collect functional use cases and requirements to evaluate Alternatives.

Alshikh advises, “If an enterprise already has a policy in place for the use of ChatGPT, they should consider implementing an ongoing communication and training program so everyone knows which tools are safe, and How to use them without leaking sensitive company data. At the same time, business executives also need to ask themselves some important questions, such as: Is it secure? Does it protect our company's data? Does it allow us to tailor the output to our brand, style, message and company context? Can it integrate into our business workflow?”

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