Amalgamation of Big Data and AI
Big Data and Artificial Intelligence are top-notch technologies that are here to stay. The algorithmic methods used in AI are being used to discover patterns, trends and predictions. Big data when merged with AI turns the processing of complex analytical tasks faster. The tasks are performed on Big Data and with the assistance of AI and Machine Learning. The integration of both technologies is sure to revolutionize the future of technology.
End-to-End Big Data Services to focus on Core Business Area
Big Data Platform
Big data platform is a type of IT solution that provides the features and capabilities of several big data application and technologies within a single solution. It is an enterprise class IT platform that enables organization in developing, deploying, operating and managing a big data infrastructure.
Big Data Analytics
Big data analytics is the often complex process of examining and processing large varied data sets, or big data, to uncover hidden value – such as hidden patterns, unknown correlations, market trends and customer preferences and sentiments – that can help organizations make more informed business decisions.
Artificial Intelligence
Artificial intelligence algorithms are designed to make decisions, often using real-time data. AI makes it possible for machines to learn from past data and experience, adjust to new inputs and perform human-like tasks. Application usage of AI is widespread in applications chat bots, NLP, SIRI to Self-driving cars.
Dedicated Big Data Consulting Services exclusively for your business
Powerful Strategy & Analytics
Big data brings powerful strategy to handle massive volume of data generated by enterprise and users int he form of structured and unstructured data
It provides the capability to process the huge volume of data using map reduce kind of algorithm to bring meaningful insights.
Comprehensive Architecture
Big data provides comprehensive stack of technologies to cater industry wide uses cases of analytics. Stack of technologies provides approach for data ingestion, data transformation, data processing and data visualization.
Data Lake and AI Augmentation
Many companies are already sitting on datasets so massive that it’s not possible for humans to deal with the at a to bring value. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information.
How is Big Data and AI helpful?
Big data plays a great role in solving problems. When amalgamated with AI, it serves as a new competitive advantage.
- Target audience
- Customer preferences
- Anticipating customer needs
- Perform risk analysis
- Data safety
- Automate work processes
- Provide predictive analysis
Top Industries disrupted by Big Data and AI
Innovators are discovering new ways to implement Big Data and AI and revolutionise traditional business models. Some of the sectors which are implementing Big Data and AI are:
Intellectual Property
Healthcare Sector
Energy
Retail
IT Service Management
Delivered Works & Assignments
Analytics Platform for Manufacturing Company
A 360 degree view for executives and management to provide better insight into company like high level overview to business verticals to unit level to machine level statistics. In addition to, providing the Finance and HR dashboards to track the operational expenditures and HR attrition rate respectively.
IIOT – Asset Performance Management for Telecom
Internet of things makes devices, sensors and machines intelligent enough which can interact with software application for better remote monitoring, remote management and advance analytics to provide an intelligent eco-system using an application called asset performance management.
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