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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.

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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. Minimising risk by ‘infusing’ AI. ” Anna adds.

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Data Analytics Helps Hedge Funds Improve Customer ROIs

Smart Data Collective

We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well. Countless industry have been shaped by big data. The market for financial analytics was worth $8.2 Robust risk management is a type of risk management that is a cornerstone of successful hedge fund management.

ROI 72
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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Since AI has proven to be so valuable, an estimated 37% of companies report using it. AI is particularly helpful with managing risks. Many suppliers are finding ways to use AI and data analytics more effectively. How AI Can Help Suppliers Manage Risks Better. Failure or Delay Risk.

Risk 134
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What the Digital Operational Resilience Act means for you

CIO Business Intelligence

Every business in some form or another is looking to adopt and integrate emerging technologies—whether that’s artificial intelligence, hybrid cloud architectures, or advanced data analytics—to help achieve a competitive edge and reach key operational goals. So, who needs to adhere to DORA?

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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?

Big Data 106
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. FactSet has several datasets available in the AWS Data Exchange marketplace, which we used for reference data.