Data Science Transforming the ICT domain

Information and Communication Technology (ICT) as a sector has seen a phenomenal growth in the past decade. These companies have access to a great amount of data generated by digital footprints left behind by customers which is increasing exponentially. ICT as a sector has gone an overhaul due to this boom of data generation. Data storage capacity of devices across the globe to store and receive data over network and compute has increased more than ten-folds in a very short duration. All this has driven adoption of new ICT technologies like Cloud Computing, Internet of Things, etc. This certainly demonstrates the emergence of Data Science to convert data into business insights.

Spotlight

Wavicle Data Solutions

Wavicle Data Solutions is a trusted cloud, data and analytics consulting and development partner for businesses that want to get more value from growing volumes of data. Well-known brands across industries work with our team of data management experts, cloud migration consultants, and analytics professionals to modernize their data environments; build robust analytics solutions; and leverage machine learning to improve predictive insights.

OTHER WHITEPAPERS
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Big Data and AI for The Financial Sector: Challenges and Opportunities

whitePaper | September 1, 2022

Artificial Intelligence (AI) is not a recently discovered field. Since the beginning of the computer science discipline, in the late 1950s, AI has drawn a lot of attention in the international scientific community and since then it has represented a field of study which has triggered diverse and numerous research activities.

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Implementing a Modern Data Catalog to Power Data Intelligence

whitePaper | August 9, 2022

This report shows you how a data catalog can help you easily find and then use the data you need.

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The Total Economic Impact of Data Virtualization Using the Denodo Platform

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

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Data Strategy in Connected Business Models

whitePaper | November 25, 2022

In our contemporary environment, data and inherent data strategies constitute vital sources in pursuing and developing customer-centric business models while supporting collaboration between different organizations in creating customer value.

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On Artificial Intelligence A European approach to excellence and trust

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.

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Architecting for HIPAA Security and Compliance on Amazon Web Services

whitePaper | January 27, 2020

AWS maintains a standards-based risk management program to ensure that the HIPAA-eligible services specifically support the administrative, technical, and physical safeguards required under HIPAA. Using these services to store, process, and transmit PHI allows our customers and AWS to address the HIPAA requirements applicable to the AWS utility-based operating model.

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Spotlight

Wavicle Data Solutions

Wavicle Data Solutions is a trusted cloud, data and analytics consulting and development partner for businesses that want to get more value from growing volumes of data. Well-known brands across industries work with our team of data management experts, cloud migration consultants, and analytics professionals to modernize their data environments; build robust analytics solutions; and leverage machine learning to improve predictive insights.

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