By Sridhar Iyengar
Technology: AI, machine learning, chatbots and blockchain
Business applications continue to churn out large volumes of data, and users are trying to mine that information to determine patterns and predict user behaviour.
In e-commerce, 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.
Companies also want to analyse their sales data to correlate marketing dollars spent with 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.
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. AI-powered chatbots are learning how to respond to customers and predict what they want, all to improve the support experience.
We will see in 2018 the continuation of cloud adoption in mid-sized and larger enterprises. The biggest barriers to cloud adoption, security and data privacy risks are well understood and processes and mechanisms have been put in place to mitigate them. Enterprises now also recognise that most cloud companies invest heavily in the security of their cloud infrastructure, platforms and cloud applications. But the in most cases, the security teams of the cloud companies are much larger and much more experienced than their own.
Blockchain, which provides a distributed, secure, and unique system of records, makes it a great choice in terms of enterprise security, especially for identity access management system, which manages user logins and authentication.
In 2018, we’ll like start seeing blockchain adoption in areas such as banking, financial services, and healthcare.