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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data.

Banking 355
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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

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Big Data Sets Impressive New Standards On Integrated Business Systems

Smart Data Collective

In 2013, Wired published a very interesting article about the role of big data in the field of integrated business systems. Author James Kobielus, the lead AI and data analyst for Wikibon and former IBM expert, said that there are a number of ways that integrated business systems are tapping the potential of AI and big data.

Big Data 173
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Predictive Analytics Drives Criminal Justice Reform with Recidivism Forecasting

Smart Data Collective

However, big data has also led to some concerns with racial profiling and other biases. Big data and machine learning technology are helping make it more equitable and reducing the burden on the prison system. Predictive Analytics and Big Data Assists with Criminal Justice Reform.

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Astera Yearly Roundup: 2022

Astera

We have been recognized for implementing, maintaining, and operating an Information Security Management System that complies with the requirements of the standard ISO/IEC 27001:2013. We met with a number of industry leaders and demonstrated our unified, end-to-end data management platform, Astera Data Stack.

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Data Vault 2.0: What You Need to Know

Astera

It serves as a comprehensive framework that supports data integration, storage, and retrieval in a way that is highly adaptable, scalable, and conducive to business agility. This approach is particularly valuable in the era of big data, where organizations need to quickly adapt to changing business needs and incorporate diverse data sources.

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Overcoming Common Challenges in Natural Language Processing

Sisense

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.