2017 has seen a number of disruptive technologies that became the topics of discussion around boardroom tables all over the world. Technologies such as AI, cloud, sophisticated security solution and the blockchain have become integral parts of companies’ plans for the future. In this article, I am highlighting the top six key technology trends that are likely to dominate discussions in 2018.
Technology Trends For 2018
Artificial intelligence, machine learning with data analytics and business intelligence
Business applications continue to churn out large volumes of data, and users are trying to mine that data to determine patterns and predict user behavior. In ecommerce, users want to know customers’ buying patterns, which will help market products better. Website designers want to understand how visitors move through their sites in order to improve conversion rates.
And companies want to analyse their sales data to correlate marketing dollars spent on sales dollars generated. Business intelligence and data analytics activities are becoming easier to perform, and that’s driving their adoption in mainstream businesses that are seeking to make better, faster decisions.
The rise of AI-powered chatbots in customer service and support
Over the past few years, chatbots — the automated, human-like chat responders — have been more an experiment, with limited adoption. Now, chatbots are becoming more mainstream as people see the benefits of those experiments, especially in customer service and support. Unlike human customer service and support reps, chatbots don’t have the physical and mental inconsistencies that can degrade service levels. More, AI-powered chatbots are learning how to respond to customers and predict what they want.
Based on customer history or questions customers ask during a chat session, AI-powered chatbots can ask users what they need and even ask leading questions, all to improve the support experience.
Use of natural language processing as a new form of human-computer interface
Star Trek fans aren’t the only ones who’ve been waiting for this prediction to manifest. Business users, too, are eager to have computers understand natural language. Take a sales manager who wants to generate a quarterly report. If the manager has to ask for it from an analytics specialist, the manager has to explain what she’s looking for and hope the specialist accurately translates her request into something the computer can process in order to generate the information she wants.