#chatgpt for enterprises

[probablyasocialecologist]

This is it. Generative AI, as a commercial tech phenomenon, has reached its apex. The hype is evaporating. The tech is too unreliable, too often. The vibes are terrible. The air is escaping from the bubble. To me, the question is more about whether the air will rush out all at once, sending the tech sector careening downward like a balloon that someone blew up, failed to tie off properly, and let go—or more slowly, shrinking down to size in gradual sputters, while emitting embarrassing fart sounds, like a balloon being deliberately pinched around the opening by a smirking teenager. But come on. The jig is up. The technology that was at this time last year being somberly touted as so powerful that it posed an existential threat to humanity is now worrying investors because it is apparently incapable of generating passable marketing emails reliably enough. We’ve had at least a year of companies shelling out for business-grade generative AI, and the results—painted as shinily as possible from a banking and investment sector that would love nothing more than a new technology that can automate office work and creative labor—are one big “meh.” As a Bloomberg story put it last week, “Big Tech Fails to Convince Wall Street That AI Is Paying Off.” From the piece: Amazon.com Inc., Microsoft Corp. and Alphabet Inc. had one job heading into this earnings season: show that the billions of dollars they’ve each sunk into the infrastructure propelling the artificial intelligence boom is translating into real sales. In the eyes of Wall Street, they disappointed. Shares in Google owner Alphabet have fallen 7.4% since it reported last week. Microsoft’s stock price has declined in the three days since the company’s own results. Shares of Amazon — the latest to drop its earnings on Thursday — plunged by the most since October 2022 on Friday. Silicon Valley hailed 2024 as the year that companies would begin to deploy generative AI, the type of technology that can create text, images and videos from simple prompts. This mass adoption is meant to finally bring about meaningful profits from the likes of Google’s Gemini and Microsoft’s Copilot. The fact that those returns have yet to meaningfully materialize is stoking broader concerns about how worthwhile AI will really prove to be. Meanwhile, Nvidia, the AI chipmaker that soared to an absurd $3 trillion valuation, is losing that value with every passing day—26% over the last month or so, and some analysts believe that’s just the beginning. These declines are the result of less-than-stellar early results from corporations who’ve embraced enterprise-tier generative AI, the distinct lack of killer commercial products 18 months into the AI boom, and scathing financial analyses from Goldman Sachs, Sequoia Capital, and Elliot Management, each of whom concluded that there was “too much spend, too little benefit” from generative AI, in the words of Goldman, and that it was “overhyped” and a “bubble” per Elliot. As CNN put it in its report on growing fears of an AI bubble, Some investors had even anticipated that this would be the quarter that tech giants would start to signal that they were backing off their AI infrastructure investments since “AI is not delivering the returns that they were expecting,” D.A. Davidson analyst Gil Luria told CNN. The opposite happened — Google, Microsoft and Meta all signaled that they plan to spend even more as they lay the groundwork for what they hope is an AI future. This can, perhaps, explain some of the investor revolt. The tech giants have responded to mounting concerns by doubling, even tripling down, and planning on spending tens of billions of dollars on researching, developing, and deploying generative AI for the foreseeable future. All this as high profile clients are canceling their contracts. As surveys show that overwhelming majorities of workers say generative AI makes them less productive. As MIT economist and automation scholar Daron Acemoglu warns, “Don’t believe the AI hype.”

6 August 2024

[bob3160]

Privacy For Sale - OpenAI’s Two-Tier Standard You Didn’t Agree To

[carlocarrasco]

New rules streamlining VAT refund processes will make Philippines more attractive to foreign investors

In the view of the Bureau of Internal Revenue (BIR), the Philippines will become a more attractive destination for foreign investors due to the new rules streamlining the value-added tax (VAT) refund process, according to a Philippine News Agency (PNA) news article. To put things in perspective, posted below is an excerpt from the news article of the PNA. Some parts in boldface… The Bureau of…

[ngocthienone]

Mua ChatGPT Enterprise bản quyền tại Việt Nam

Trong bối cảnh chuyển đổi số diễn ra mạnh mẽ, trí tuệ nhân tạo (AI) đã trở thành động lực thúc đẩy sự phát triển của các doanh nghiệp hiện đại. Mua ChatGPT Enterprise chính là lựa chọn tối ưu cho các tổ chức lớn tại Việt Nam muốn tận dụng sức mạnh AI để tối ưu hóa quy trình kinh doanh, nâng cao hiệu suất, và đảm bảo bảo mật dữ liệu. Là gói dịch vụ cao cấp nhất từ OpenAI, ChatGPT Enterprise mang đến những tính năng vượt trội, phù hợp cho các doanh nghiệp cần giải pháp AI mạnh mẽ và tùy chỉnh.

Vậy mua ChatGPT Enterprise ở đâu chính hãng tại Việt Nam, và vì sao đây là phiên bản phù hợp nhất cho doanh nghiệp bạn? Hãy cùng tìm hiểu chi tiết trong bài viết dưới đây.

[chiefastro]

Idea Frontier #4: Enterprise Agentics, DaaS, Self-Improving LLMs

TL;DR — Edition #4 zeroes-in on three tectonic shifts for AI founders: Enterprise Agentics – agent frameworks such as Google’s new ADK, CrewAI and AutoGen are finally hardened for production, and AWS just shipped a reference pattern for an enterprise-grade text-to-SQL agent; add DB-Explore + Dynamic-Tool-Selection and you get a realistic playbook for querying 100-table warehouses with…

[kyocipherfox]

「AIが上司になる未来、来るかも！？」 NTTデータとOpenAIが手を組んだ！ AIエージェントが世界中で働き始めるって話、ちょっと本気で考えてみない？ 俺たち小市民の働き方、これからどう変わるんだろう…。 ↓↓AIとの付き合い方、キョウが本音で語った解説ブログはこちら↓↓ https://yp-kyo.com #yp-kyo #AIエージェント #NTTデータ #OpenAI #働き方改革 #生成AI #つなぎAI #ChatGPT #小市民の未来予想図 #AIと共存 #やっぱりキョウは小市民

[rydotinfotech]

How ChatGPT is Not a Replacement for Enterprise Conversational AI Platforms

ChatGPT is a new dialog-based AI chatbot that uses natural language processing (NLP) and machine learning to generate automated conversations. The field of conversational AI has seen rapid growth in recent years, with the development of new AI models and advancements in AI-powered chatbots. The conversational AI market is projected to reach $32.62 billion by 2030, growing at a CAGR of 23.6% from 2023 to 2030 (Source: Grand View Research). Enterprise chatbots are increasingly being adopted by businesses for business automation, streamlining workflows, and enhancing customer interactions.

AI assistants like ChatGPT enable computers to understand and respond to human input, creating a more natural and intuitive interaction between humans and technology. This powerful GPT-3.5-based AI chatbot can perform a variety of chatbot integration tasks without requiring extensive coding, making it a strong contender in the era of no-code AI. However, despite its capabilities, can ChatGPT truly replace enterprise chatbots? We explore its potential and why it may not be an adequate substitute when compared to a dedicated, enterprise-level AI chatbot solution.

What is ChatGPT?

ChatGPT is a generative pre-trained transformer (GPT) based on the conference paper “Attention Is All You Need.” This transformer model incorporates the attention mechanism, a key component of conversational AI and a type of generative AI that includes architectures like generative Adversarial networks (GANs). As an AI-powered chatbot, ChatGPT can generate new content based on user input, making it a versatile tool for business automation and various other applications. Its capabilities include question answering, content creation, essay writing, text completion, code completion, input data translation, and much more.

The training of this AI chatbot involves reinforcement learning, where human AI trainers provide expected responses that are used as feedback to iteratively improve the model. This process allows ChatGPT to predict the next words in a sentence based on the previous sequence, enabling seamless chatbot integration in various industries.

With the rise of enterprise chatbots and no-code AI solutions, ChatGPT presents both opportunities and challenges. While it enhances automation and simplifies AI deployment, it may not fully replace specialized AI assistants designed for enterprise-level solutions. Like any AI model, ChatGPT comes with its own pros and cons—let’s analyze them in detail.

For any model developed, there are some pros and cons. Let’s analyze that for ChatGPT.

User Benefits of Using ChatGPT

Generates detailed responses and articulates answers.

Capable of keeping track of previous conversations.

Proficient enough to regenerate response for the same user prompt.

Trained to reply in different languages.

Best at answering open-domain questions.

Rejects inappropriate queries.

Limitation Of ChatGPT

Limited and biased training data.

Sensitive to the input.

Writes plausible-sounding sounding but incorrect answers.

Unable to answer correctly for world events that occurred after 2021.

Programming knowledge is essential for custom training and integration.

Lack of scalability.

Existing UI cannot be customized.

A study by Gartner (2023) highlights that while LLMs like ChatGPT improve efficiency by 40%, they are not yet suited for highly specialized business applications requiring structured responses.

While ChatGPT is powerful, it is not a one-size-fits-all solution for business needs. Enterprise chatbots, built using conversational AI platforms, offer domain-specific customization, secure integration, and a better customer experience.

Objective of Conversational AI

The primary goal of Conversational AI is to streamline communication naturally. AI-powered chatbots like ChatGPT enable businesses to automate tasks such as customer inquiries, recommendations, and information dissemination. Enterprise chatbots and AI assistants enhance business automation by improving efficiency and reducing workload. With chatbot integration and no-code AI, companies can deploy AI chatbots without extensive coding. NLP enables these systems to understand and respond intelligently to human input. As a result, businesses can enhance customer experiences while allowing human agents to focus on complex tasks.

Studies indicate that AI-driven automation can reduce customer service costs by up to 30% (Source: Juniper Research).

 

Enterprise Chatbots vs. ChatGPT

1.      Front-end

The user interface (UI) of enterprise chatbots is fully customizable to match a company’s branding, whereas ChatGPT does not provide direct UI customization. ChatGPT needs third-party integration to modify its interface, while enterprise chatbots offer built-in white-labeling for a seamless brand experience.

2.      Programming Knowledge

No-code Assistant Platform enables businesses to build chatbots without programming. Features like drag-and-drop bot training, API integration, and ticket generation make them accessible to non-technical users. In contrast, ChatGPT requires programming expertise for custom training, API integration, database connectivity, and advanced functions like OTP verification and payment gateway integration.

3.      Integration

Enterprise chatbots support direct integration with business platforms, including websites, WhatsApp, Facebook Messenger, and other social channels. Providers offer seamless integration, ensuring businesses can deploy chatbots effortlessly. ChatGPT requires developer support for integrations, making it less accessible for businesses without coding expertise.

NLU & Re-training Complexity

Enterprise chatbots leverage domain-specific Natural Language Understanding (NLU), ensuring highly accurate responses based on business-specific datasets. No-code platforms simplify AI training with drag-and-drop UI for model refinement. In contrast, ChatGPT requires complex fine-tuning, which is more resource intensive.

5.      Cost

Enterprise AI platforms offer flexible pricing models such as on-premises installations, staff training, chatbot development services, and pay-as-you-go plans. Pricing is not restricted by word count or token limits. On the other hand, ChatGPT's pricing is token-based, meaning costs increase with usage (e.g., number of training words, prompt tokens, and response tokens).

A study by Gartner (2023) reports that conversational AI adoption is growing at a CAGR of 23.6%, but businesses prefer structured enterprise chatbot solutions over general AI models.

Benefits of Using Conversational AI Platforms for Enterprise Chatbots

1. No-Code Platform

The No-code Assistant Platform enables businesses to develop fully managed AI-powered chatbots without requiring programming knowledge. Even non-technical users can build business-specific chatbots effortlessly. The drag-and-drop dialogue manager allows easy knowledge base setup and response configuration with minimal input. No-code platforms help businesses reduce development costs and improve chatbot efficiency.

2. Customized Training

Customizable training and flow design features allow organizations to tailor their chatbots to meet specific business needs and customer expectations. This leads to a more personalized and context-aware chatbot experience, enhancing user engagement and overall satisfaction.

3. Analytical Dashboard

AI chatbot platforms provide real-time data insights with graphical visualizations of chatbot traffic, location-based visitors, engagement rates, user feedback ratings, and sentiment analysis. The platform also offers customizable dashboards, allowing businesses to monitor chatbot performance and optimize responses effectively.

4. User-Friendly Interface

No-code AI platforms offer an intuitive, easy-to-use interface that simplifies chatbot creation. Businesses benefit from drag-and-drop tools that streamline chatbot design and deployment. This accessibility makes AI adoption easier for companies of all sizes, fostering widespread adoption and automation.

The cost-effective and highly adaptable Conversational AI platform has gained widespread acceptance among businesses. Its seamless integration with websites, social media platforms, and CRM tools simplifies deployment. Experience AI-powered automation—book a demo or contact us today!

Conclusion

While ChatGPT is a versatile AI model, it lacks the business-specific customization, security, and integration capabilities that enterprise chatbots provide. Enterprise AI chatbot platforms offer scalability, robust security, and tailored AI solutions to enhance customer experience and streamline business processes.

As AI adoption increases, organizations are integrating chatbots, voice bots, and IVR solutions into their workflows. Businesses seeking a custom AI-powered chatbot can connect with Rydot Infotech at info@rydotinfotech.com for expert AI solutions.

[northwoodsguru]

Manus AI vs GPT: Discover how a new autonomous, multi-agent system challenges GPT’s global scale & proven performance in AI's next era!

[dr-iphone]

ChatGPT 價格解析！免費與付費方案差異、費用詳解，哪種適合你？

OpenAI 不斷開發新的模型，也為 ChatGPT 推出新功能，如今 ChatGPT 已經成為許多人的 AI 助理，無論是工作、讀書或創作都能派上用場。最近 ChatGPT 增加了「記憶」功能，只要與它交談，它會擷取使用者喜愛的各種細節和偏好，給出更符合需要的回應，也變得更加實用，還有即時互動的「進階語音模式」，甚至還有「GPT Store（探索 GPT）」。 Continue reading ChatGPT 價格解析！免費與付費方案差異、費用詳解，哪種適合你？

[vsonker]

OpenAI Launches its First Reasoning Model "GPT-4 Turbo (Grok)" for ChatGPT Enterprise

OpenAI Launches its First Reasoning Model “GPT-4 Turbo (Grok)” for ChatGPT EnterpriseEnglish:OpenAI has made a significant leap in the world of artificial intelligence by launching its first reasoning-focused model, GPT-4 Turbo, also known as “Grok.” This model is an advancement tailored specifically for ChatGPT Enterprise, designed to enhance AI’s ability to understand, analyze, and respond with…

[entertainmentwebadda]

A huge language model called Claude AI can produce language that is of human quality in response to a variety of inquiries and prompts.

[carlocarrasco]

PEZA investment pledges jump 249% in January-March 2025

The Philippines is enjoying a surge of investment pledges in the Philippine Economic Zone Authority (PEZA) with a 249% jump in the first quarter of 2025, according to a Philippine News Agency (PNA) news article. The surge is expected to create many new jobs. To put things in perspective, posted below is an excerpt from the report of the PNA news article. Some parts in boldface… Investment…