Business communication digitisation has reorganised the process of persuasive discourse, which allows not only greater transparency but also advanced deception. This inquiry synthesises classical rhetoric and communication psychology with linguistic theory and empirical studies in the financial reporting, sustainability discourse, and digital marketing to explain how deceptive language can be systematically detected using persuasive lexicon. In controlled settings, detection accuracies of greater than 99% were achieved by using computational textual analysis as well as personalised transformer models. However, reproducing this performance in multilingual settings is also problematic and, to a large extent, this is because it is not easy to find sufficient data, and because few multilingual text-processing infrastructures are in place. This evidence shows that there has been an increasing gap between the theoretical representations of communication and those empirically approximated, and therefore, there is a need to have strong automatic text-identification systems where AI-based discourse is becoming more realistic in communicating with humans.

Artificial Intelligence (AI) and Machine Learning (ML) are becoming an integral part of our lives, at work or home. Enterprises use AI and ML to streamline the business processes and help employees become more productive. AI and ML are used by social media sites, search engines, and OTT platforms to assist users in finding what they want. At home, we use AL-based voice assistants like Alexa, Siri, and Google Home Assistant for several purposes. As days pass, we see ML being extensively adopted by businesses.

Improving Forecast of Sales: Given pile of data has been collected about your prospect (company size, stakeholders, solutions they want) then machine learning will provide the ability to compare it to historical sales efforts, and then the dots can be connected and can help in better predicting what solutions would be effective and the likelihood of the deal closing and how long it will take. This insight will help sales management better allocate resources and predict sales projections. So machine learning can improve sales professionals' responsiveness and proactiveness to anticipate the needs and wants of customers. Being better at addressing the needs before they arise will help in fostering a stronger relationship between clients and sales teams. Sales Communications: One of the most important areas that will witness a dramatic paradigm shift by the advent of machine learning is communication.

Until now, artificial intelligence has majorly been used to streamline manufacturing, customer support, documentation, and logistics. Business communication has largely been a stronghold of humans. But all that is poised to change now. With AI tools getting more advanced and "human-like" by the day, they are more than ready to handle your internal and external business communication single-handedly. Check out the use cases explained in this post.

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on artificial intelligence. As there are many startups working on various different applications, we want to share our insights with you. Here, we take a look at 5 promising genetic algorithm startups. For our 5 top picks, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 5 interesting examples out of 111 relevant solutions.

In the last two decades, the business communication landscape has entirely revolutionized by the advances in machine learning, especially with the rise of the Internet and Voice over Internet protocol (VoIP). Realizing its significance, most enterprises now have acknowledged or performed the integration of disruptive technologies, intending to enhance their communication systems. Business communication is generally considered as a vital internal operation acted in organizations for obtaining commercial benefits. It also refers to the exchange of information between people and employees both inside and outside of companies, helping them to develop and bolster the employer-staff relationship. As a result, it leads to surged business productivity, enhanced efficiency, improved business partnerships, advanced business operations, and considerably boosted the customer base.

In the last two decades, the business communication landscape has entirely revolutionized by the advances in machine learning, especially with the rise of the Internet and Voice over Internet protocol (VoIP). Realizing its significance, most enterprises now have acknowledged or performed the integration of disruptive technologies, intending to enhance their communication systems. Business communication is generally considered as a vital internal operation acted in organizations for obtaining commercial benefits. It also refers to the exchange of information between people and employees both inside and outside of companies, helping them to develop and bolster the employer-staff relationship. As a result, it leads to surged business productivity, enhanced efficiency, improved business partnerships, advanced business operations, and considerably boosted the customer base.

The business communications landscape has changed dramatically in the last twenty years, thanks to Voice-Over-Internet-Protocol (VoIP) and the rise of the internet. Telephone networks are no longer tied to a wired landline network. Instead, your VoIP phone system can be operated from various IP addresses, providing flexibility for workers and devices. Machine learning is further transforming that landscape. Gartner, in their report, Top 10 Strategic Technology Trends for 2020, state that AI and machine learning are increasingly used to make decisions in place of humans.

Experts have predicted that by 2020, approximately 85% of interactions that we will make with businesses will be through chatbots. That is because this technology gets rid of the human weakness of getting exhaustion and round the clock services. From a long list of 20 trends, we have picked, the following chatbot trends for you in 2020. That is because they are the most vital and have a direct impact on your customers. In 2020, instead of typing your query in the chatbot, you are more likely to begin speaking to these bots and get assistance delivered.

AI (Artificial Intelligence) continues to be red hot. Then again, every top tech company is investing heavily in the technology, such as Amazon.com, But AI is more than just about big companies. Keep in mind that the technology is getting much easier and affordable to use. "We are seeing the democratization of AI through open source algorithms, affordable computing power and AI specialized hardware," said Roy Raanani, who is the CEO and founder of Chorus.ai.