Big Data is too complex to be skillfully handled by traditional processing techniques and Artificial Intelligence is one key area it has found solace in. While Data will soon replace Gold as the most important asset to mankind, putting it for appropriate use has transformed seeking information. Not to miss, the biggest of impactful technologies be it Internet Of Things, Machine Learning or even the Decentralized Apps, Big Data drives them all.

Here’s what the trends have it in 2018 for Big Data innovations.

Talking Robots Will Get Smarter Challenging Existing Live Support Systems

Starbucks have deployed Chatbots to take orders in text while MasterCard lets them reply to your transactional queries. They are cool good examples of automated chatting with website visitors in a more personalized way such that humans don’t guess if they are chatting with a robot. A step ahead of rules based action against a word; Chatbots are processed with possible combinations of the word in the natural language and its varying meanings thereby achieving better communication experience.

New business analytics tools have looked beyond Siri towards more organic communication between humans and machines and hinting at dependable virtual assistance. Such enhanced levels of Customer Experience (CX) has Big Data as the underlying engine that processes volumes of data and produces the most relevant answer based on the keywords in the query, as posted by the user.

Besides, staying focused to the point without losing customer interest; Chatbots are uninterruptedly live, collect and analyze customer data as an enriched knowledge base for different channels. Moreover, they are learning to negotiate too.

In 2016, Facebook allowed developers to integrate Chatbots to its messenger services.

From 30,000 bots deployed in first 6 months to over 100,000 today, the platform is processing 2 billion messages every month. Doubling the interaction between businesses and customers, the use of bots will rise from Facebook to other platforms by next year.

Businesses are already saving upto $0.70 per interaction and a promising 2018 will lead to 85% of AI governing customer interactions by 2020 is surely an exciting hint for the enterprises looking to cut down drastically on support resources.

Big Data Analytics will Include Visualization Models

A survey of 2800 experienced BI professionals in 2017 predicted data discovery and data visualization would become a significant trend. Data discovery now is not just about understanding the analysis and relationships but also represents ways of presenting the analysis to reveal deeper business insights. Humans have greater ability to process visual patterns effectively. Compelling and captivating visualization models will become the choice for processing big data sets making it one of the most significant big data trends in 2018.

2018 will be the year of Streaming Success

2018 will be the year when the goal of every organization adopting big data strategy would be to achieve true streaming analytics: the ability to process and analyze a data set while still it is in the process of creation. This means gleaning insights which are exactly up-to-the-second without having to replicate datasets. As of now, this means making a compromise with the size of the dataset or tolerating a delay but by end of 2018 organizations will be very close to removing these limits.

Accurate Product Searching, Faster Shopping And Many More

E-commerce holds immense potential for the exponential customer data it has direct access to and there couldn’t be a more lucrative platform for Big Data applications to unlatch their ability. One of the largest online retail stores Rockher.com has the most talked about AI implementation backed by IBM Watson. ROSI, the integrated search engine does more than a usual search by computing data of diamonds in inventory and produce accurate results as per the Shape, Occasion, Size and Budget details given by the user.

Such deep customization in search coupled with response time down to a fraction of seconds has steered the focus of others in the league. India’s largest online fashion store Myntra is working towards automated custom clothing without any human intervention. Moreover, the brand wants automated recommendations to users asking for fashion questions. Yet again, the AI tool will crawl through data of years of trends and predict fashion trends for users in advance.

For the retailer, AI will be able to analyze every click performed and track it towards the customer preference for a particular product.

As the global population steering towards online stores will increase significantly to 8.9%, the zest to convert a visitor into a customer will see a momentous shift towards AI tools coming into play in 2018. The acceptance will grow steadily throughout 2018 and will rise by 2019.

2500 Trillion $ from online retail sales are projected for 2018, definitely AI has a role to prepare for.

AI and Machine Learning to be faster, smarter and more efficient in 2018

AI and Machine learning technology are growing at a lightning pace helping businesses transform through various use cases such as real-time ads, fraud detection, pattern recognition, voice recognition, etc. Machine learning was among the top 10 strategic technology trends in 2017 but 2018 will witness it beyond rule-based tradition algorithms. Machine learning algorithms will become faster and more accurate helping enterprises make more appropriate predictions.