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Big data was primarily used by big businesses in the past, owing to their broad scope of service demanded more precise data and because they were the only ones who could afford the technology and channels used to collect and analyze the information. Big Data has evolved at an unbelievably fast pace, much like any other process in the business world, the best example being Big Data in the cloud.
2018 at a Glance
Edge Computing
Owing to edge computing, the big data analysis can happen close to the IoT devices and sensors instead of data center or cloud. This means better performance for companies since there’s less data flowing in the network and fewer cloud computing costs as well as a decrease in storage and infrastructure costs because the company can choose to delete irrelevant IoT data. Edge computing can also speed up data analysis, which then allows faster action times from decision-makers.
Chatbots Got Smarter
Facebook allowed developers to integrate chatbots in its Messenger service back in 2016. Many companies have deployed bots to take queries from customers since then, giving them a more personalized method of interaction without human intervention. The foundation of this customer experience is Big Data, as bots process volumes of data to produce the most relevant answer based on keywords in the query. Based on a conversation, they’re also able to pick up and analyze information about customers. Marketers can now collect more/better data with the improvement of bot technology which helps to develop their customer service strategy, targeting of online ads, and also helps businesses cut costs on support resources.
We are awarding some of the best Big Data Solution of the year along with other categories at the 3rd Indian ISV Awards 2018, an initiative from itVARnews (Techplus Media Publication) to acknowledge the best ICT Solutions by ISVs (Independent software vendor), System Integrators, Solution VARs, and MSPs across India. To know more, visit the website now. (http://www.isvawards.itvarnews.com/)
