Since the official announcement in November 2022, there has been an enormous amount of buzz and excitement about OpenAI's ChatGPT. Industry experts are publishing articles about it, social networks are filled with comments about it, and local, national, and global news organisations are reporting stories about it. From students using ChatGPT to complete assignments for class to me getting a little help from ChatGPT to write my latest'Virtual Viewpoint' column, it certainly seems like everyone is testing it out. As a specialist within the conversational AI space, Creative Virtual is excited about what ChatGPT and the technology behind it bring to our industry. We've been having lots of discussions with our customers and partners, as well as internally, about how this can deliver value to businesses using our V-Person solutions.

Raghu Ravinutala is CEO and cofounder of enterprise-grade conversational AI platform Yellow.ai. Globally, conversational AI solutions have seen a significant uptick in the past few years, with Covid-19 being a true inflection point as the technology transitioned from a "good-to-make" to a "must-make" investment. And the demand graph has just continued to soar higher in the following months, bolstered by continued innovations in this space. In fact, according to Report Linker, "The Global Conversational AI Market is expected to grow by $1.14 bn during 2022-2026." While there has been noteworthy progress in the field of conversational AI, there is still room for advancements that can tackle limitations that restrict the true potential of the technology. Manual data training is one such limitation.

With a growing demand for customer engagement, conversational AI improves user experience and business communications as well as provides opportunities for more conversion rates, better revenues, and customer satisfaction. Creative Virtual’s Founder and CEO, Chris Ezekiel, recently talked with Sadika Sayyad and shared his views on the topic “Enhance User Experience with Conversational AI” Sadika: Brief us about your company and offerings. Chris Ezekiel: Creative Virtual is a world leader in conversational AI for customer and employee engagement. As a pioneer in the industry, we have played a pivotal role in the evolution of this technology and the ways it...

As the end of 2022 draws near, it is time once again for Creative Virtual's annual year in review blog post. Every year we take this opportunity to reflect on the hard work of our team, our contributions to the conversational AI industry, and a few of our company's biggest highlights from the past 12 months. Two of the things we are proudest of at Creative Virtual are our experienced, dedicated team and the unique expertise we provide to our customers and partners. Whether it's through our product development or our collaborations with individual clients, it's important to us that we consistently deliver the best solutions possible. Having an analyst group recognise us for this is always an exciting bonus – and that's what happened again this year.

One particular subdiscipline, conversational AI, is paving the way for systems capable of holding a discussion at a human-like level, opening UP various doors in fields from customer services to sales and marketing. However, when it's no longer possible to distinguish between man and machine, a whole host of issues are bound to crop up, especially if AI models have not been developed and audited in a responsible manner. To hear more about the opportunities associated with conversational AI, as well as the potential pitfalls, we spoke to Dinesh Nirmal, head of data, AI and automation at IBM. Conversational AI refers to the different types of AI software or solutions that are designed for people to talk to and communicate with. We train conversational AI using vast amounts of input data, essentially language and phrases that teach it how to recognize words and imitate human interactions. In a business context, this is useful in many different situations, especially customer care.

Artificial intelligence is transforming modern business and the modern way of life. Along with machine learning and continuous human support, artificial intelligence is seeing vast adoption rates across entire industries and sectors. Software development and software testing are definitely two of the best examples of AI application as well as the use of machine learning and deep learning systems to achieve short, mid, and long-term goals. Software developers and dev agencies can nowadays lean on AI and machine learning to streamline their processes and ensure better output and performance. Let's take a closer look at some of the most interesting ways software developers can leverage AI and complementary technologies like machine learning to enhance software development and testing.

Around February 2021 early access was granted to Jarvis 1.0 Beta. On 28 July 2021, NVIDIA Jarvis got rebranded to Riva. I always thought of the name Jarvis to be too generally used already. The good news is, the core technologies, performance and roadmap remain unchanged. On 28 March 2022 NVIDIA Riva 2.0 was launched.

I think it's safe to say that we all love to get a good deal – or at least feel like we are! – and save a little money whenever we can. I think we can also all agree that are certain times when going with the cheapest option or skimping on a line in the budget doesn't pay off in the end. You get what you pay for, right? A conversational AI solution is one of those projects that your organisation should be careful not to underfund. Without the proper level of financial support and ongoing funding, you will never achieve success with a conversational AI project.

Amazon Web Services is putting the focus on partners' conversational artificial intelligence (CAI) solutions that could spell the end of organizations' customers screaming "representative" to an interactive voice response phone system or getting stuck in a dead-end or circular digital chat loop. AWS is highlighting solutions from consulting partners including Cation Consulting, Deloitte Consulting, Quantiphi and TensorIoT and technology partners including NLX, ServisBOT and XAPP AI that allow organizations to deploy chatbots, virtual assistants and interactive voice response systems that incorporate AWS artificial intelligence and machine learning services. Their solutions employ services including Amazon Kendra, a machine learning-powered search tool that allows users to search unstructured text using natural language; Amazon Lex, a service for building conversational interfaces into applications using voice and text; and Amazon Polly, a text-to-speech service that converts text into lifelike speech. The new partner initiative comes as the demand for CAI interfaces continues to grow, according to Arte Merritt, who leads AWS partnerships for contact center intelligence and conversational AI. End-customers increasingly prefer to interact with businesses on digital channels, and businesses want to increase user satisfaction, reduce operational costs and streamline business processes, Merritt said in a blog post.

Artificial intelligence (AI) has steadily become more integrated into daily life, and this is evident through Google maps, face recognition, and autocorrect. Joining their ranks is breakthrough conversational AI technology. Conversational AI entails technologies that allow computers and machines to create automated messages and speech-enabled applications. This allows for human-like interactions between humans and devices. As more and more platforms begin to rely on AI-based customer services, it's no surprise that the conversational AI market is projected to reach $18.02 billion by 2027.