Articles about Chatbots

Over the year from August 2024 to July 2025 the top 10 AI chatbots collectively pulled in 55.88 billion visits, accounting for 58.8 percent of all AI tool traffic.

Within this group, ChatGPT is the undisputed leader, drawing 46.6 billion visits (up 106 percent year-on-year) and holding 48.36 percent of the entire AI tools market share.

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Artificial intelligence is having an impact on more and more areas of our lives. In the customer service field it's increasingly being used to improve customer experience and create more effective interactions.

But how good is AI at dealing with customers? And are businesses using it effectively? We spoke to Josh Kim, co-founder and CEO of AI-based chat and customer experience platform Channel Talk, to learn more.

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Unlocking the Secrets of Prompt Engineering propels you into the world of large language models (LLMs), empowering you to create and apply prompts effectively for diverse applications, from revolutionizing content creation and chatbots to coding assistance.

Starting with the fundamentals of prompt engineering, this guide provides a solid foundation in LLM prompts, their components, and applications. Through practical examples and use cases, you'll discover how LLMs can be used for generating product descriptions, personalized emails, social media posts, and even creative writing projects like fiction and poetry.

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Many enterprises have begun to rely more heavily on chatbots to provide software support, and this often means customers find it hard to get in contact with an experienced, human engineer when they encounter an issue that they need help resolving.

While this might save costs in the short term, it can seriously damage the company’s brand in the long term. We talked to Craig Mackereth, EVP, global service delivery at Rimini Street to find out about the overuse of AI chatbots for enterprise software support and ways that vendors could use generative AI to actually improve the customer experience.

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A new Dark Side of GenAI report from Immersive Labs looks at 'prompt injection' attacks, in which individuals input specific instructions to trick chatbots into revealing sensitive information, potentially exposing organizations to data leaks.

Using data gathered from a public prompt injection challenge the report finds a worrying 88 percent of participants successfully tricked the GenAI bot into giving away sensitive information in at least one level of an increasingly difficult challenge.

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Most of us are familiar with chatbots on customer service portals, government departments, and through services like Google Bard and OpenAI. They are convenient, easy to use, and always available, leading to their growing use for a diverse range of applications across the web.

Unfortunately, most current chatbots are limited due to their reliance on static training data. Data outputted by these systems can be obsolete, limiting our ability to gain real-time information for our queries. They also struggle with contextual understanding, inaccuracies, handling complex queries, and limited adaptability to our evolving needs.

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Many companies have blocked access to public LLMs like ChatGPT due to security and compliance risks, preventing employees from taking advantage of the benefits of generative AI for day-to-day use.

Even when employees do have access, mainstream LLMs lack the ability to query an organization’s internal data, making insights unreliable and considerably limiting enterprise value for chat applications.

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Employees are embracing generative AI and its capabilities, with 86 percent of respondents to a new survey saying they want to use GenAI at work, and 52 percent seeing GenAI as a great tool to find more relevant information.

The study, of over 2,000 US adults conducted by Arlington Research for Coveo, finds 56 percent of respondents believe GenAI tools would save them at least an hour a day at work. However, more than 50 percent of respondents' companies don't have a GenAI policy in place to enable their employees to leverage these capabilities safely and privately.

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Thanks to high-profile tools like ChatGPT, we've witnessed AI appearing in more and more areas and projects this year. Next week sees the launch of the latest Chatbot Summit, held at ExCel London on October 11-12, bringing together industry experts to share practical skills, knowledge, and insights.

We spoke with Chatbot Summit 2024 founder and executive chairman, Yoav Barel, to discuss the impact of AI technology and how businesses can prepare, as well as what summit attendees can expect from the event.

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The latest Phishing Threat Trends Report from Egress, based on data from its Egress Defend email security tool, reveals that nearly three-quarters of AI detectors can't tell if a phishing email has been written by a chatbot.

Because they utilize large language models (LLMs), the accuracy of most detector tools increases with longer sample sizes, often requiring a minimum of 250 characters to work. With 44.9 percent of phishing emails not meeting the 250-character limit, and a further 26.5 percent falling below 500, currently AI detectors either won't work reliably or won't work at all on 71.4 percent of attacks.

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The world is increasingly buzzing with stories about AI generated content. Today when you contact a business you might equally well be talking to a bot as a human, but is it possible to spot AI generated content and should we be worried about it?

We spoke to Gaurav Kachhawa, chief product officer of conversational messaging platform Gupshup, to find out how to distinguish AI-generated content, as well as the ethics that surround its use.

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Most businesses now offer their customers multiple means of getting in touch, with many providing online chatbots as a customer service channel.

But new research released by Twilio shows that without taking advantage of first-party data to understand their customers and personalize their approach, businesses are missing key opportunities to engage.

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If you’ve been interacting with your favorite brands lately, you’ve likely noticed that chatbots seem to be everywhere. We are a society obsessed with instant gratification. We want answers immediately and often that means rolling the dice on using a chatbot to see how close they can get to what we are looking for. As the use of chatbots expands, so can the number of chatbot failures each day. At the same time, customers’ expectations of what a 'good' chatbot experience is has never been higher. And not meeting these stringent expectations means disappointing the customer, which can also result in loss of business, or worse, damage to your brand.

No matter what industry a chatbot operates in, connecting and communicating with people is its primary function. The formula for success for chatbots is the same as it is for traditional customer service channels: quick and effective service. Even though conversational AI has made great technological strides, the user experience is still lacking, especially when it comes to handling natural language processing (NLP), latency, data security, and other issues.

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The ChatGPT artificial intelligence bot has been causing a bit of a buzz lately thanks to its ability to answer questions, ask follow ups and learn from its mistakes.

However, the research team at Cybernews has discovered that ChatGPT could be used to provide hackers with step-by-step instructions on how to hack websites.

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Keeping communication open with customers is an important part of any business process, and we’ve seen a lot of change in how we do it. UK businesses are growing fast, and so are the ways they react to customer service inquiries, with efficiency and ease front of mind.

With virtual customer demand heightened even more during the COVID-19 pandemic, live chats and chatbots have become something businesses value for their communication. Chatbots especially have had an emphasis placed on their value, being considered forward-thinking.

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