Data has become the most important asset for all kinds of organizations in today’s information driven world. Coming out of silos, a hoard of systems now feed customer and business records into big data lakes, subsequently making it available for diverse use cases. With data becoming more dynamic, efficiency in moving data has become crucial giving rise to upgrades to new architectures like edge, core, and cloud. The new systems are adding intelligence to the data by mining and deep learning.
In a recent study commissioned by SAP called the ‘Digital Transformation Executive Study’, 94% of the top 100 leaders have already invested in big data analytics. This number can be expected to increase significantly in 2018. Recent years have witnessed upsurge in big data and analytics related business tasks with enterprises garnering unbelievable amounts of data. The next step is looking at different areas where this data can be utilized.
Industry expects analytical tools to become a norm as organizations focus on customer experiences and value delivery. Application areas of analytic tools will include security analytics to address threats from increasingly mobile workforces and application base that spans multiple clouds and explore alternate security paradigms, by detecting, predicting, and averting threats through accumulation and analysis of data from different sources. Another big application is productivity analytics, with AI integrated into business processes enabling better informed data driven decisions. A new emerging trend is Insights-as-a-service which is delivering data-driven decision making and strategizing for businesses. Cognitive technologies like machine learning and predictive analysis will help organizations deliver business goals and optimize business processes and strategies. Another new trend is the Smart Data platform which is a concoction of on-premise, cloud and hybrid framework. Smart Data Platforms are already witnessing wide implementation. There is an expected rise in opportunities and skill sets like data scientist, AI experts, and Data Analysts.
WHAT THE INDUSTRY PREDICTS FOR 2018:
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“We saw the rise of big data in 2017 and the trend will continue to gain speed as organizations work on accessing and preserving big data with trends like micro-subscription models and AI powered self-service and power resolution.”
Mahesh Lalwani
VP, Head of Data & Cognitive Analytics
Mphasis
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“As data becomes self-aware and diverse than it is today, the metadata will make it possible for the data to proactively transport, categorize, analyze and protect itself in coming years.”
Anil Valluri
President
NetApp India & SAARC
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“The Indian IT industry is in a phase of continuous disruption thanks to technologies such as Big Data analytics, IoT, AI and Blockchain and large enterprises are driving this growth as they recognize the competitive advantage by adoption of these next gen technologies.”
Kamolika Peres
Vice President, Strategic Customers Program
SAP India
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“2018 will be the year enterprises will work towards harnessing opportunities created by integration with a huge surge in the adoption and usage of digital workspace technologies, creating ripples in the earlier established organizational structures.”
Makarand Joshi
Area Vice President and Country Head
India Subcontinent
Citrix
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“2018 will see a significant acceptance of the concept of data democratization; sharing the right kind of data with the right team, individual and organization across various systems and entities.”
Guna
GM
Center of Excellence – Analytics
Happiest Minds
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