The Cycle of Progress Mapping the digital transformation journey

January 2, 2019

Businesses are adopting the latest technology innovations to thrive and survive in the global digital economy: 53% IoT. 51% Predictive Analytics. 46% AI. 44% Blockchain. Despite the negative hype – business leaders don’t fear that robots will take over the world Just 3% of decision makers think that AI will have a negative impact on business or society. But senior leaders think their business is further along in their digital transformation journey than it actually is: 41% Board Members.

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Rippleshot

Rippleshot’s big data technology monitors merchants to detect data breaches early, reduce losses from credit card fraud and protect brand reputation…

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Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

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Ai in Manufacturing

Infographic | December 16, 2019

AI enables organization to optimize product availability by decreasing out of stocks and spoilage. AI can also help with getting a better understanding of sales patterns. AI enables organizations to expediate product development and R&D by reducing the test times and driving more concrete insights from customer data and demands

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Big Data Analytics and IoT

Infographic | May 10, 2022

IoT has the potential to increase delivery and supply chain by 15%. Globally, $1 trillion is expected to be spent on Internet of Things (IoT) technology. By 2025, data collected from IoT devices is expected to be 73 ZB.

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The People and Tech Behind Data Science

Infographic | January 12, 2020

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data.

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How to use your transactional data: benefits of data-driven spend analytics

Infographic | June 23, 2022

Get more value from your transactional data. Discover the benefits of data-driven spend analytics and start improving your procurement strategies today.

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Data Science vs Computer Science vs Data Analytics

Infographic | May 14, 2021

With the rapid development of the technology sector, it can be quite a challenge to keep up with all the niches and stay current on their advancements. Of the many fields that are responsible for the increasing buzz in the sector, Data Science, Computer Science, and Data Analytics are three critical domains that spearhead the revolution in technology.

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Rippleshot

Rippleshot’s big data technology monitors merchants to detect data breaches early, reduce losses from credit card fraud and protect brand reputation…

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