Infosys Data Analytics vs Wipro Data Analytics & AI comparison

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Also Known As
Wipro Data Analytics and AI, Wipro DAAI
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Wipro
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Overview

Data is the life and blood of an enterprise that aspires to be digital. It is that strategic asset that helps the business learn about evolving opportunities, hidden threats, changing customer expectations and the competitive landscape, in context and in time to respond meaningfully. This, in turn, helps to automate the supply chain, drive continuous innovation, and create micro-moments based customer experience. Artificial Intelligence powers the core of this data-driven enterprise and creates signals that then act on the business to bring transformational value. And when this is enabled in a Do-it-Yourself culture, everyone, at any given time, is able to move quickly, in the right direction to defend, differentiate and even reimagine the business.

We help our clients adopt this approach to ubiquitously create value from data.

We move them away from the conventional use case or point solution-led approach, towards the path to building industrialized capabilities to monetize data. We begin by creating an integrated blueprint of opportunities - unique to their business - for data-led value creation. Thereon we chart the roadmap to incrementally build the capabilities they need to deliver on the blueprint.

In today’s digital world, data, analytics and AI play a key role in transforming native business operations, creating new business models and unleashing process improvements. Wipro’s data, analytics and AI services, enable organizations to deliver value across the customers’ journey by empowering users with more agile and intuitive processes.

Our services help organizations use data and analytics to create new business models and revenue streams – all while ensuring security, quality and regulatory compliance of data. Underpinned by technologies such as cloud, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and advanced analytics, our solutions help enhance decision making while enabling augmented intelligence and process automation. In addition, Wipro’s crowd-powered consulting helps secure innovation and scale programs to deliver tangible results.

Our AI-First framework is designed to enable data monetization and encompasses:

Robust Processes

Imbibe the Sense-Think-Respond-Learn (STRL) system to convert data to actionable intelligence.

Next-Gen Technologies

Leverage data engineering innovation for semantic architecture, knowledge graphs, and deep neural networks to transform your business. Utilize data consumption approaches to bring data science to life through workflow integration of analytics, visualization of information, and integrated processes for decision-making.

Leading-Edge Capabilities

Take advantage of a world-class internal and external ecosystem comprising technology centers of excellence, research-based solutions and subject matter experts, to power innovation and deliver solutions at scale.

Sample Customers
BMG, USG Boral
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Top Industries
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VISITORS READING REVIEWS
Educational Organization35%
Computer Software Company14%
Government9%
University7%
Company Size
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VISITORS READING REVIEWS
Small Business15%
Midsize Enterprise48%
Large Enterprise37%

Infosys Data Analytics is ranked 11th in Data and Analytics Service Providers while Wipro Data Analytics & AI is ranked 3rd in Data and Analytics Service Providers. Infosys Data Analytics is rated 0.0, while Wipro Data Analytics & AI is rated 0.0. On the other hand, Infosys Data Analytics is most compared with Palantir Foundry, whereas Wipro Data Analytics & AI is most compared with EXL Analytics and Fractal Analytics Eugenie.ai.

See our list of best Data and Analytics Service Providers vendors.

We monitor all Data and Analytics Service Providers reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.