Assists the sales staff in assessing potential application of company products to meet customer needs and preparing detailed product specifications for the development and implementation of customer applications/solutions. Ensures that the application/solution is functioning according to specifications. May provide software development and consultation to prospective users and/or product capability assessment and validation. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Principal Duties and Responsibilities: • Provides timely and accurate answers to customer inquiries under the guidance of experienced peers.

It is challenging to disregard Artificial Intelligence (AI) and its effects in today's digital age. Artificial intelligence is significant in seeing and understanding how organizations operate. AI services and programs can transform everything about the business. AI and automation are promoted to be the biggest game-changers in the century. Most organizations are presently moving to Machine Learning and Artificial Intelligence to change interactions, connections, incomes, and services.

Companies are embracing artificial intelligence (AI) technology in a variety of settings, but one part of the business--the contact center--is receiving extra AI investment. The contact center AI market is projected to reach a compound annual growth rate of 23 percent by 2024. Businesses are implementing new technology to help relieve various pressures on their contact centers. They need to scale to sustain increasing inbound communications, and to maintain consistent messaging and quality across communication channels. They need to support a shift from on-premise to remote work.

Artificial intelligence (AI) is more than just cyborgs in movies trying to destroy humanity. It has actual real-world applications that can make our lives better and our businesses stronger and more profitable. In retail, artificial intelligence is being adopted rapidly - between 2016 and 2018 there was a 600% increase in adoption. Unfortunately the adoption rate is still relatively low, ranging from 26% for home improvement stores to 33% for apparel and footwear. If AI can make such a big difference, why isn't everyone adopting it?

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.

Companies are increasingly turning to chatbots for customer care, employing them to answer questions or direct people to the right team member to talk to. Basic assistants can route calls in call centers to the correct staff member, while more advanced chatbots equipped with natural language processing and deep learning may be able to assist customers with their inquiries. PSFK researchers explored how brands are exploring conversational interfaces that enable more emotive, responsive and personalized chatbot assistants, which can help customers in a range of different industries. As Business Insider reports, "In the next three to five years alone, chatbots will become nearly ubiquitous, and work seamlessly with human customer support agents to provide customers with efficient, personalized responses." Amazon Amazon developed a cloud-based call center software called AWS Connect that uses the speech recognition technology behind Alexa to interpret what callers want and routes their calls accordingly.

In recent years, advances in machine learning have propelled its use to the forefronts of virtually every industry in the modern economy. This exciting new way to conduct business is thus being increasingly relied upon to provide better customer service experiences at a fraction of current cost. What specific strategies are the world's most innovative companies employing to get the most out of machine learning, and what exactly does it hold for the customer service industry? Recent developments in the collection and analysis of huge sums of data have fundamentally altered how most businesses operate. Companies are now able to collect data and metadata about their consumers, which helps them determine which products or services will be the most popular, and can analyze their own data to detect wasteful trends. Machine learning means your company's programs can make use of this data without being explicitly programmed to do so, as programs collect, learn, and adapt by utilizing ever-greater sources of data.

Moneycontrol Bureau HDFC Bank's interactive humanoid IRA (Intelligent Robotic Assistant) which has been deployed at their Kamla Mills branch in Mumbai will guide customers to the various counters. This includes cash deposit, foreign exchange, loans among others in the first phase. IRA's language of communication will be English in the first phase. Nitin Chugh, country head, digital banking at HDFC Bank said that based on the response of the customers, they will take a decision on IRA's deployment in other branches across the country. HDFC Bank has developed IRA in partnership with Asimov Robotics, a start-up based in Kochi.

India-based HDFC Bank is about to introduce its first "humanoid" branch assistant – Ira. The human-sized robot was built together with artificial intelligence (AI) company Asimov Robotics. HDFC says there are plans to bring more robots to its branches, depending on customer feedback. Ira is part of a broader AI focus at HDFC, which the bank unveiled last year. The bank is calling on fintech firms, including start-ups, to get in touch with ideas on virtual reality (VR), augmented reality (AR), internet of things (IoT) and rural banking tech.