Tag: ChatGPT

10 realistic business use cases for ChatGPT

In the rapidly evolving landscape of AI and natural language processing, ChatGPT has emerged as a powerful tool with myriad potential applications.

Lists of creative and imaginative use cases for generative AI tools such as ChatGPT abound. But in a corporate context, it’s crucial to determine the most pragmatic and pertinent applications for specific business needs.

Explore the importance of accurately assessing ChatGPT’s capabilities, compare OpenAI’s ChatGPT Enterprise plan with the free version, and review practical use cases that could benefit businesses.

Assessing the benefits and limitations of ChatGPT

ChatGPT is a language model that generates text based on the input it receives. It can provide coherent responses and simulate humanlike conversations. However, it’s not infallible, and it occasionally produces biased or inaccurate content, in part because the model was only trained on data through September 2021.

In addition, ChatGPT’s training data was not fact-checked, and the model can generate responses to users’ questions even if no factual information exists — a phenomenon known as hallucination. Also, because the data is not curated, it often contains biases that won’t necessarily align with business or client priorities.

Together, these limitations mean that organizations need to be judicious in their use of ChatGPT. This is particularly the case for applications that involve inputting sensitive information or using the model in important decision-making processes.

ChatGPT Enterprise, ChatGPT Plus and ChatGPT free edition

As of August 2023, OpenAI offers a ChatGPT Enterprise version for businesses alongside a free version and a Plus version available to consumers. Understanding the differences between these options is essential for enterprises to make an informed decision.

  • Control and customization. The Enterprise edition provides more control and customization, with longer inputs, more advanced data analysis features and stronger privacy protections for input data. This is
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Sharing sensitive business data with ChatGPT could be risky

“Those queries are stored and will almost certainly be used for developing the LLM service or model at some point. This could mean that the LLM provider (or its partners/contractors) are able to read queries and may incorporate them in some way into future versions,” it added. Another risk, which increases as more organizations produce and use LLMs, is that queries stored online may be hacked, leaked, or accidentally made publicly accessible, the NCSC wrote.

Ultimately, there is genuine cause for concern regarding sensitive business data being inputted into and used by ChatGPT, although the risks are likely less pervasive than some headlines make out.

Likely risks of inputting sensitive data to ChatGPT

LLMs exhibit an emergent behavior called in-context learning. During a session, as the model receives inputs, it can become conditioned to perform tasks based upon the context contained within those inputs. “This is likely the phenomenon people are referring to when they worry about information leakage. However, it is not possible for information from one user’s session to leak to another’s,” Andy Patel, senior researcher at WithSecure, tells CSO. “Another concern is that prompts entered into the ChatGPT interface will be collected and used in future training data.”

Although it’s valid to be concerned that chatbots will ingest and then regurgitate sensitive information, a new model would need to be trained in order to incorporate that data, Patel says. Training LLMs is an expensive and lengthy procedure, and he says he would be surprised if a model were trained on data collected by ChatGPT in the near future. “If a new model is eventually created that includes collected ChatGPT prompts, our fears turn to membership inference attacks. Such attacks have the potential to expose credit card numbers or personal information that were in the training data. However,

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How ChatGPT Ranks the World’s Best Business Schools

How would ChatGPT rank business schools? And how accurate would a list of full-time MBA programs actually be from the AI chatbot?

To put it to the test, we asked the former question to get at the latter query. The result?

Naming the top MBA programs was too complex a task for ChatGPT-4. Though the artificial intelligence program that is all the talk of the technosphere generated a list of reputable programs, the rankings were contextually vague and inconsistently founded upon further interrogation. Some information the AI chatbot identified as its ranking evidence was plainly false. ChatGPT also changed ranking placements in different answers with no real sense of justification, but one always remained first. By and large, ChatGPT’s ranking is more a reflection of a business school’s longstanding reputation, rather than a revealing list that uncovers MBA programs that are more likely to slip through the cracks.

ChatGPT named Harvard Business School the best program in the world. But while HBS is undoubtedly a world-class school, it has been languishing in the rankings lately, generally situated somewhere in the top five but not No. 1 in any reputable list since 2020. Harvard has ranked fifth in Poet&Quants’ aggregate ranking the last two years; in 2023, The Financial Times named HBS’ MBA program the third best, while U.S. News & World Report ranked it fifth in 2022; the latter’s 2023 ranking is due in mid-April.

CHATGPT SELECTS HBS FOR ITS PRESTIGE

“Based on various sources and rankings, HBS is often ranked as the top MBA program,” answers ChatGPT-4, Open AI’s newly-released and fine-tuned large language model accessible only through a $20 monthly subscription.

From 2021-17, HBS ranked the #1 school five times among six different publications. Rankings were from P&Q, U.S. News, Forbes, Bloomberg BusinessWeek, and

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ChatGPT is a data privacy nightmare. If you’ve ever posted online, you ought to be concerned

ChatGPT has taken the world by storm. Within two months of its release it reached 100 million active users, making it the fastest-growing consumer application ever launched. Users are attracted to the tool’s advanced capabilities – and concerned by its potential to cause disruption in various sectors.

A much less discussed implication is the privacy risks ChatGPT poses to each and every one of us. Just yesterday, Google unveiled its own conversational AI called Bard, and others will surely follow. Technology companies working on AI have well and truly entered an arms race.

The problem is it’s fuelled by our personal data.




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Everyone’s having a field day with ChatGPT – but nobody knows how it actually works


300 billion words. How many are yours?

ChatGPT is underpinned by a large language model that requires massive amounts of data to function and improve. The more data the model is trained on, the better it gets at detecting patterns, anticipating what will come next and generating plausible text.

OpenAI, the company behind ChatGPT, fed the tool some 300 billion words systematically scraped from the internet: books, articles, websites and posts – including personal information obtained without consent.

If you’ve ever written a blog post or product review, or commented on an article online, there’s a good chance this information was consumed by ChatGPT.

So why is that an issue?

The data collection used to train ChatGPT is problematic for several reasons.

First, none of us were asked whether OpenAI could use our data. This is a clear violation of privacy, especially when data are sensitive and can be used to identify us, our family members, or our location.

Even when data are publicly available their use can breach what we call contextual integrity. This is a fundamental

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What Marketing And Advertising Specialists Can Expect From ChatGPT

Founder and President of The Evoke Agency, a 4x Inc 500 and 5000 firm focusing on social media, content creation and public relations.

By now, you have probably heard of ChatGPT, Google’s Bard, Microsoft’s Sydney or any number of artificial intelligence (AI) programs that have become the present fascination of the tech industry. Once ripped from the pages of pulpy 1970s sci-fi paperbacks, AI is now so very much real that it’s available to the public and is being used as an asset in the working world.

Many companies have been using the advantages of ChatGPT to propel their businesses forward. As a forward-thinking company, my agency has already begun research into how we might be able to best utilize AI. While we’ve yet to integrate it into our own practices, knowing how others might be using it is key to staying ahead.

Attracting nearly 40 million users per day, ChatGPT is one of the many chatbots being utilized to provide customer service, draft copy and even assist in market research. As it continues to become more ubiquitous and the technology powering it matures, we will continue noticing several major changes in the marketing and advertising industries.

Customer Communications

In order to be used in direct customer communications, chatbots are fed an incredible amount of data to “learn” how to respond to common customer inquiries. The more data they’re fed, the more accurate the capability of response.

Millennials may remember wasting time on instant messenger by launching silly questions at the chatbot SmarterChild, whose clunky responses often provided a few minutes of entertainment while users waited for their human friends to come online. ChatGPT’s communication functions far exceed the limits of 2000’s tech. Able to replicate near-human speech patterns, these bots can provide streamlined communication between company

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Microsoft Offers Businesses Custom ChatGPT Solutions

Microsoft has revealed it is going to help businesses build their own, customized versions of ChatGPT using the technology provided by OpenAI.

The news comes shortly after the company made Microsoft Teams Premium, which utilizes ChatGPT to take meeting notes during conference calls, generally available to businesses.

Microsoft hopes that corporations, as well as other organizations like government departments and schools, will soon have their chatbots specifically tailored towards their respective needs.

Custom ChatGPT for Businesses Incoming

According to CNBC, Microsoft is preparing to launch technology that will allow businesses and other organizations to build their own, custom versions of ChatGPT, using the technology developed by OpenAI as a base to build on.

Businesses will reportedly have the opportunity to remove both Microsoft and OpenAI company branding from their chatbot, as well as create customized messages that will appear before staff members initiate conversations.

At present, ChatGPT can’t formulate cogent answers relating to events that have happened since 2021, due to the information the bot has been trained on.

However, Microsoft plans for these custom chatbots for businesses to be able to process up-to-date information; companies will be able to refine the character of their chatbot by inputting data over time.

OpenAI Hits the Bigtime

Since it burst onto the scene just a couple of months ago, ChatGPT has already become a household name, reaching 100 million active users in the time since its release.

The site is regularly at capacity as both companies and individuals continue to experiment with the technology, which is currently available for free.

However, the average discussion with ChatGPT costs startup OpenAI a few cents, CEO Sam Altman revealed in December – so the company will have spent millions of dollars already providing the service to users.

While Microsoft understands the importance

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Employees Are Feeding Sensitive Business Data to ChatGPT

Employees are submitting sensitive business data and privacy-protected information to large language models (LLMs) such as ChatGPT, raising concerns that artificial intelligence (AI) services could be incorporating the data into their models, and that information could be retrieved at a later date if proper data security isn’t in place for the service.

In a recent report, data security service Cyberhaven detected and blocked requests to input data into ChatGPT from 4.2% of the 1.6 million workers at its client companies because of the risk of leaking confidential information, client data, source code, or regulated information to the LLM. 

In one case, an executive cut and pasted the firm’s 2023 strategy document into ChatGPT and asked it to create a PowerPoint deck. In another case, a doctor input his patient’s name and their medical condition and asked ChatGPT to craft a letter to the patient’s insurance company.

And as more employees use ChatGPT and other AI-based services as productivity tools, the risk will grow, says Howard Ting, CEO of Cyberhaven.

“There was this big migration of data from on-prem to cloud, and the next big shift is going to be the migration of data into these generative apps,” he says. “And how that plays out [remains to be seen] — I think, we’re in pregame; we’re not even in the first inning.”

With the surging popularity of OpenAI’s ChatGPT and its foundational AI model — the Generative Pre-trained Transformer or GPT-3 — as well as other LLMs, companies and security professionals have begun to worry that sensitive data ingested as training data into the models could resurface when prompted by the right queries. Some are taking action: JPMorgan restricted workers’ use of ChatGPT, for example, and Amazon, Microsoft, and Wal-Mart have all issued warnings to employees to take care in

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What if ChatGPT was trained on decades of financial news and data? BloombergGPT aims to be a domain-specific AI for business news

If you were going to predict which news company would be the first out with its own massive AI model, Bloomberg would’ve been a good bet. For all its success expanding into consumer-facing news over the past decade, Bloomberg is fundamentally a data company, driven by $30,000/year subscriptions to its terminals.

On Friday, the company announced it had built something called BloombergGPT. Think of it as a computer that aims to “know” everything the entire company “knows.”

Bloomberg today released a research paper detailing the development of BloombergGPT™, a new large-scale generative artificial intelligence (AI) model. This large language model (LLM) has been specifically trained on a wide range of financial data to support a diverse set of natural language processing (NLP) tasks within the financial industry.

Recent advances in Artificial Intelligence (AI) based on LLMs have already demonstrated exciting new applications for many domains. However, the complexity and unique terminology of the financial domain warrant a domain-specific model. BloombergGPT represents the first step in the development and application of this new technology for the financial industry. This model will assist Bloomberg in improving existing financial NLP tasks, such as sentiment analysis, named entity recognition, news classification, and question answering, among others. Furthermore, BloombergGPT will unlock new opportunities for marshalling the vast quantities of data available on the Bloomberg Terminal to better help the firm’s customers, while bringing the full potential of AI to the financial domain.

The technical details are, as promised, in this research paper. It’s by Bloomberg’s Shijie Wu, Ozan

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Is ChatGPT the long run of internet marketing?, Advertising and marketing & Advertising News, ET BrandEquity

<p>Representative image (File photo)</p>
Representative picture (File photograph)

Have you at any time imagined about what is actually typical between Terminator, Matrix and Star Wars? These motion pictures took all of us to the globe of artificial intelligence in remarkable, funny, and terrifying means. They gave us a sneak peek into the significantly fantasized long run. Now ChatGPT has brought that a lot fantasized long run exceptionally near to all of us.

ChatGPT has develop into a section of our daily chit chats. We have began imagining how it will rework telemedicine, customer service, e-training, or even on line advertising.

ChatGPT is a Generative AI, a chatbot that is about to change the way you market and promote. Can you envision, just after only five times of its start, Chat GPT surpassed 1 million customers! Instagram took 5 months to attain that variety.

ChatGPT is amazing!

I consider it will fully modify the way we see promoting. I do not signify to say conventional marketing will finish. Alternatively, it will evolve from click on-primarily based type into anything that is far more nuanced and focused.

Never have faith in me? Let us get deeper into this.

Will ChatGPT revolutionize marketing?

There are a lot of innovations that have increased user encounter in the past. Irrespective of whether it is a calculator, a camera or a 3D printer. ChatGPT will revolutionize the way brands interact with their shoppers.

Each time any innovation transpires, we start evaluating it with human creativity. But we forget that these improvements are carried out by human beings only. They do not finish human creativeness, relatively greatly enhance it. Permit us fully grasp it with a simple illustration. When the digital camera was launched in the market place did it change proficient artists? No, it can not be in contrast with

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How Will ChatGPT Affect Your Job If You Work In Advertising And Marketing?

Recently, there’s been a lot of excitement about ChatGPT – the public preview release of OpenAI’s chatbot powered by the GPT3 language model. There’s no better way to get people interested in – and perhaps worrying about – artificial intelligence (AI) than showing it in action. And ChatGPT certainly acts as a powerful demonstration of what AI can do today.

Ask GPT to answer a question, or to create a piece of writing, and it will respond in well-structured, natural-sounding human language that most people simply would not guess has been created by a machine. Of course, this has immediately got people asking what the implications are for us humans – and one of the first professions to fear that they could be facing the chop are marketers.

This seems to be rational because many aspects of marketing and advertising involve creating text – whether it is writing copy for adverts, creating marketing emails, or just writing simple social media posts. Now that everyday machines are apparently able to carry out these tasks, is everybody working in these jobs in danger of becoming redundant?

The fact is that throughout history, we’ve seen that new developments in technology have tended to create new jobs as quickly as it makes old jobs redundant. What’s more, the jobs that are created are often more technical, creative, or highly-skilled – meaning that they are higher paying and often more rewarding.

For example, the arrival of mechanized farm equipment reduced the need for unskilled field workers but created a need for skilled engineers and technicians. And the dawn of the computing era made a lot of low-paid clerical filing workers and typists redundant but created higher-paid jobs in software engineering

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