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How BI Improves Risk Management within Organisations

Sisense

As businesses adapt to the pandemic and shift to new norms, risk mitigation strategies have become as normal and ubiquitous as having a fire escape in the office. Smarter, AI-driven learning and development initiatives will help mitigate risk in our rapidly evolving world.

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How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

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Essential skills and traits of chief AI officers

CIO Business Intelligence

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks.

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How Data Analytics Is Changing The Insurance Industry

Smart Data Collective

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. Unlike property and vehicles, cyber risk is an entirely different entity altogether.

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Future-Proofing Your Business with Hyperautomation

CIO Business Intelligence

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. It requires careful analysis of all processes, and in many cases changes to how individual process operate and interact.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. We also used FactSet’s market data solutions for historical and streaming market quotes and trades.

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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

Take advantage of data analytics. One of the biggest reasons AI has become so valuable is that it is so tightly integrated with data analytics. Using data analytics technology, you can study this data to gain valuable insights to help with decision-making. Consider improving user experience.