A new announcement by Microsoft Germany has revealed that the latest version of the Generative Pre-trained Transformer language model, GPT-4, will be released in the coming week. This upcoming version is set to be even more advanced than its predecessor, #GPT3, as it will be equipped with the ability to process and comprehend various types of data, including text, images, and audio. This feature, known as multimodality, is expected to make GPT-4 an even more versatile language model as it will be multimodal, meaning it will be able to process and comprehend various types of data, including text, images, and audio. This new feature is expected to make #GPT4 more powerful, with potential applications in various fields such as natural language processing, advanced voice recognition, and image analysis and understanding. Clemens Siebler at #Microsoft presented several real-life examples of the existing capabilities of AI.

Conversational AI has advanced dramatically since the early days of chatbots with limited capabilities. As time goes on, more industries are realizing the capabilities and benefits these advancements bring. Digital assistants like Alexa and Siri have consumers wondering why the same capabilities can't be used at work. While there are enterprise versions of Alexa and Cortana, conversational AI is still not at a point where a user can ask any question and receive a coherent answer. Like most other types of AI, the best use cases are narrow as opposed to broad.

Five9 provides businesses reliable, scalable, and secure cloud contact center software designed to create exceptional customer experiences, increase agent productivity, and deliver tangible business results. We are driven by a passion to transform contact centers into customer engagement centers of excellence. Since 2001, Five9 has led the cloud revolution in contact centers, helping organizations transition from legacy premise-based solutions to the cloud. The Five9 Machine Learning team is responsible for the development and delivery of AI models and systems that form the backbone of several products, including Five9 Agent Assist, Five9 Interactive Virtual Assistant and several unannounced products under active development. These products are the centerpiece of Five9's strategy to dramatically expand its market footprint, and more importantly, transform the contact center into something that delivers a human experience.

The utility of artificial intelligence in the contact center space is obvious. Whether it's deploying virtual agents to meet spikes in demand, reduce costs and improve CX, or agent assist to reduce handle time, AI can have a transformative impact on the customer and agent experience. Too often, however, these benefits go unrealised due to a perception that implementing the technology is expensive, time-consuming and dependent on technical expertise.

WIRE)--Five9, Inc. (NASDAQ: FIVN), a leading provider of the intelligent cloud contact center, today announced that it has been positioned as a Leader in the first Aragon Research Globe for Conversational AI. The report notes strengths for Five9, including its focus on self-service, seamless handoff between bots and live agents, and App Marketplace for integrations and channels. Aragon Research analysts evaluated 22 conversational AI providers based on three dimensions: strategy, performance, and reach. The report notes that providers positioned as Leaders have comprehensive strategies that align with industry direction and market demand, and effectively perform against those strategies. Five9 is focusing on AI as one of its key innovation strategies.

After the stock market closed today, Five9 announced the acquisition of intelligent virtual agent (IVA) company Inference Solutions. The purchase price is $172 million, $148 million in cash and $24 million when certain bookings targets are met. Inference brings 550 customers, among them several joint Five9 customers -- including Chick-fil-A and Wyndham Hotels. Inference was founded in 2005, spun out from Telstra Research Labs -- think of it as the Australian version of Bell Labs. Headquartered in San Francisco, the company has additional offices in Austin, TX and Melbourne, Australia.

Call center software provider Five9 Inc. has come up a winner yet again, comfortably beating Wall Street's targets with its third-quarter financial results and delivering strong guidance on top of that. The company reported a profit before certain costs such as stock compensation of 27 cents per share on revenue of $112 million, up 34% from a year ago. That was well ahead of Wall Street's forecast of 18 cents per share in earnings and $101 million in revenue. Five9 sells cloud-based contact center software and services for enterprises that enable them to keep track of and manage their interactions with customers. Its software covers traditional phone calls, as well as video calling services, emails and social media interactions.

Once upon a time, people worried that ATMs would eliminate the need for human tellers. Well, there are still like 300,000 bank tellers today. So, why do people worry that AIs are going to eliminate call centers? Rather than call center agents being eliminated by AI, they're turning into - SUPER AGENTS! Yes, this is a thing.

When you think "contact center," you probably think of static scripts. But all that is about to change. "One of the top things customers tell us is, 'Know me. Know who I am when you engage with me.'" What we're all after here is the ultimate customer experience.

Almost every organization is evaluating how technologies such as AI can improve their business. In many ways, the business goals for AI adoption haven't changed for decades. Companies want to improve their customer experience, make processes more efficient and deliver actionable insights to their employees. Fortunately, the computing landscape evolved in ways that allow companies to realize these goals. Cloud computing offers of scalable, low-cost computing that provides a foundation for storage, analytics and AI Cloud computing providers also added toolkits and pre-trained cloud-resident machine learning models.