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Build Knowledge and Gain Confidence in Your Data-Driven Decisions

Big Data, Analytics & Machine Learning Thumbnail

Leveraging big data and analytics allows helps your organization learn from the past, model the present, and prepare for the future. Promising new and emerging technologies like AI/ML NLP, reinforcement learning, media recognition and predictive analytics can vastly improve the speed, availability and accuracy of these data-driven insights.

Enhanced by long-standing partnerships with leading data and analytics providers and niche players, Xoriant will apply our extensive data management, advanced analytics, data science and emerging technology experience to help you become a modern, data-driven enterprise.

Technology and Engineering Expertise

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Invest, Influence and Impact

Data and Analytics Investment

By 2021, organizations that provision an augmented data catalogue to data consumers will realize 3x faster ROI from their data and analytics investments.

Source: Gartner

Gain 3x ROI from your data and analytics investments.

Augmented Analytics ROI?

Augmented Analytics

Over the next 5 years, data and analytics leaders must ensure that an integrated governance program covers self-service, IoT and decentralized analytics programs. By 2022, augmented analytics technology will be ubiquitous, but only 10% of analysts will use its full potential.

Source: Gartner

By 2022, augmented analytics technology will be ubiquitous.

AI is the New Core Technology

AI - New Core Technology

Most enterprises struggle to develop AI pilots into production. It’s up to IT leaders to develop and nurture infrastructure strategies to enable the evolution of AI pilots into scalable production and value realization.

Source: Gartner

By 2022, containers will become integral to 85% of AI pipelines.

AI – The Road to Production

AI - Road to Production

Organizations still face major road-blocks to operationalizing AI development. IT leaders must move beyond the POC to ensure that more projects get to production and do so at scale in order to deliver business value.

Source: Gartner

By 2023, 85% of AI solutions will focus on concrete industry domains.

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