What does the new ChatGPT Enterprise bring to the table for businesses?

OpenAI has unveiled "ChatGPT Enterprise" with the intent of attracting the corporate realm to its blossoming software realm. Is OpenAI merely striving to keep pace in the enterprise AI race?

Several enterprises are targeting the same space with generative AI. Cohere, for example, is tailoring Large Language Model solutions for corporate users. Anthropic has collaborated with Scale AI with an enterprise focus, and even Microsoft Azure boasts its OpenAI offering. Open-source contenders like Meta's LLaMA 2 are also vying for attention in the commercial arena.

But there's no denying ChatGPT's indelible mark on the mainstream, once boasting a staggering 100 million monthly users. Given its iconic status in the AI field, the enterprise version might sway firms waiting for a product from this industry giant.

Enterprise-grade generative AI

ChatGPT Enterprise emphasizes robust security, unrestricted access to GPT-4, elongated context frames, superior data scrutinizing capabilities, and adaptability.

For tech-savvy business leaders, such as CTOs and IT heads, the security of ChatGPT for Enterprise is important. OpenAI seeks to allay any hesitations, asserting, "Customer prompts or data are not used for training models." Also, the company employs "data encryption at rest (AES-256) and in transit (TLS 1.2+)." OpenAI's ChatGPT for Enterprise has also undergone rigorous evaluation, earning SOC 2 Type 1 credentials, with Type 2 on the horizon. As for data storage, OpenAI assures "ChatGPT Enterprise securely retains data to enable features like conversation history. You control how long your data is retained. Any deleted conversations are removed from our systems within 30 days."

Highlighting the superiorities of ChatGPT Enterprise over its standard counterpart, OpenAI's blog mentions unparalleled access to the swifter GPT-4, allowing fluid and effective interactions. An enhanced context window facilitates processing extensive inputs. Advanced data assessment (formerly called Code Interpreter) equips technical and generic teams to scrutinize details swiftly.

Moreover, collaborative features such as shared chat templates further boost efficiency, and complimentary credits for OpenAI's API present bespoke options for enterprises desiring a customized LLM experience.

Regarding its pricing, OpenAI remains tight-lipped, suggesting that costs will vary based on specific enterprise needs.

What to expect from ChatGPT Enterprise in the future?

OpenAI's recent post reveals its unwavering dedication to the continuous development of ChatGPT Enterprise. Ambitions include:

• Features like safe personalization with corporate data merging,

• A self-administered ChatGPT Business package for compact teams, 

• Enhanced tools for data evaluation.

Aimed at roles like data analysts, marketers, and customer assistance, OpenAI aspires to provide specialized solutions.

Enterprise transition to AI

Enterprises are treading cautiously in the AI realm, either due to concerns about data security, AI misinterpretations, or simply lacking the requisite tech prowess. While there's palpable eagerness among executives to harness generative AI's potential, recent research by KPMG indicates most (60% of those surveyed) believe that while generative AI holds monumental future significance, they are possibly a couple of years away from deploying its inaugural solution.