Since the dawn of conversational commerce, chatbots have been a benchmark in the field of business communications. However, chatbot technology has struggled to be an effective tool as they find it difficult to provide the human touch in conversations. As the struggle for dominance between the efficacy of human agents and chatbots continues, recent developments with regard to the integration of artificial intelligence have given chatbots a significant push. Speed, convenience and effortlessness are essential to a good conversational experience. Conversational AI is transforming the way people interact with business chatbots as they provide a human-like, organic experience that reduces the customer's effort in explaining their needs. Chatbots were invented as a way to reduce human effort in interacting with the customer, allowing the machine to handle the queries and complaints of the customer.

If you find chat bots unhelpful or holding for customer service reps a drag, don't feel bad. It's a natural human reaction -- the kind of human reaction better handled by automated voice assistants powered by artificial intelligence (AI) that are smart, fast and far more humanlike now. Companies are automating everything imaginable for cost savings, efficiency and accuracy in the pandemic era. However, the installed base of not-too-bright chat bots and the inconsistent voice systems they commonly use are quickly becoming outmoded, and customer sentiment is taking a bruising in the process. This state of affairs is fast-tracking consumer experience (CX) to the next level of automated interaction: deploying voice systems that learn and improve, rapidly tapping vast datasets, and creating chat bots and automated voice helpers that are not just better -- they're even empathetic.

I regularly fly with KLM from Minneapolis to New Delhi, and always stop over in Amsterdam. I am frequently in Minneapolis for research and this is my route to go home to take a break from work. I have done the journey so many times that I know almost all the shops at Schiphol inside out. However, one time in summer 2019, the predictability was broken when I missed my connecting flight to New Delhi. I was tired, hungry, sleepy, and the customer-service counter was closed.

Artificial Intelligence, also known as Artificial Intelligence, is well-known for streamlining processes safely. However, when it comes to digital payment solutions, AI goes beyond streamlining and providing security. AI brings automation to online payments and allows users to monitor them. It is fascinating to note seven amazing uses of AI within the payment industry. Although self-driving cars are not a new concept, have you ever considered that the technology behind self-driving cars could be used to fraudulently apply for loans or cards?

For decades, artificial intelligence has been depicted as a sinister force in science fiction. Think of HAL-9000, the main antagonist in Arthur C. Clarke's Space Odyssey series. But while applications of AI and machine learning are indeed sophisticated and carry the potential to be dangerous, my own view is that over the course of this decade, the most frequent encounters people are going to have with these neural technologies will seem both ordinary and positive. But there is one important area of algorithmic use that will require real work. I am thinking here of areas in which prototypes already exist: AI-powered activities that are likely to become normal by the end of this decade: Conversational Commerce, Home Technical Support, and Autonomous Vehicles. However, a fourth one, Institutional Decision Making, has few satisfactory prototypes at this time and so will be harder to fix.

The Covid-19 vaccine has been widely distributed, and business and consumer behavior has returned to a new normal. The recession isn't over, but things are looking brighter. Consumer spending and jobs are recovering. OK, so this may be wishful thinking because none of us really knows what will happen, but I'm an optimist. As president of a marketing firm with a focus on communications and customer engagement, I decided to predict what some of these changes might mean for brands and marketing so that the pragmatic optimists among us can start planning today.

AI or Artificial Intelligence is known for streamlining processes securely, but when it comes to the digital payment solution, AI goes beyond streamlining and offering security. AI brings automation and enables users to monitor online payments. A self-driving or autonomous car is no longer a new concept, but have you ever thought that the technology used behind a self-driving car can be used in finding fraudulent card or loan applications? Yes, the neural network technology or Artificial Neural Network (ANN) is the technology behind the autonomous car. It imitates the human brain and has played a vital role in finding the stolen identities from the Equifax data breach and other incidents.

In a joint research effort forged in 2017, the MIT-IBM Watson AI Lab has put significant resources into a new approach to AI that could provide CX and digital transformation specialists with more accurate intent recognition. Known as "neuro-symbolic artificial intelligence," this approach could allow companies to do more with less data and provide for greater transparency and privacy. Employing the approach to Conversational AI could give brands the ability to "add common sense" to their chatbots, intelligent virtual agents and to the prompts provided to live agents. The science combines the probabilistic pattern recognition capabilities of today's Deep Neural Networks (DNNs) and "deep understanding" with an approach to AI that is based on representations of problems, logic and search that are considered more "human-readable." In a new report, Dan Miller, lead analyst and founder with Opus Research, presents the possibility for enterprises to improve automated conversational systems with significant implications for customer care, digital commerce and employee productivity.

Technology, human behavior, Customer Experience are intersecting through the use of Artificial Intelligence (AI) and taking marketing in a new direction. To understand how it requires a better understanding of what the inventor of the hashtag Chris Messina's calls Conversational Commerce. We spoke to Messina on a recent podcast about this concept and how it applies to customer-driven growth. Messina coined the phrase Conversational Commerce in 2016 to describe all the changes happening in the way we interact with customers in the consumer marketplace. Specifically, it relates to how brands and consumers are going to communicate through messaging and social media. Messina is an expert on this subject.

Google Cloud VP of Retail Carrie Tharp has a long background of embracing disruption. Having joined the Mountain View, Calif.-based tech giant in July, she might be a relative newcomer, but she is no stranger to developing and supporting technology for the changing retail landscape. Tharp spent the past three years at Neiman Marcus Group creating the luxury retailer's digital-first strategy, including shifting to a cloud-centric software stack for marketing and ecommerce and leveraging artificial intelligence and machine learning to drive programs like digital styling, personalized promos and algorithmic buying. Before that, she was immersed in similar tasks at Fossil and Travelocity. One theme that weaves throughout her career: Tharp embraces the challenge of shepherding retail brands through disruption and helping them evolve the way they interact with customers.