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The Growing Importance Of Data Collection For Customer Service

Smart Data Collective

Fewer experts have emphasized the significance of big data. However, it is becoming increasingly clear that big data is critical to the viability of any customer service strategy. Freshdesk published an article on the importance of big data in customer service. Scheduling errors are a major example.

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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. One of the most important changes pertains to risk parity management. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. What is risk parity?

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Automate Your Yardi Real Estate Data Collection and Management

Jet Global

Having accurate data is crucial to this process, but finance teams struggle to easily access and connect with data. Reduce the risk of human error. Improve data quality. Reducing the risk of using manual processes. Near real-time information is vital to: Save time. No reliance on IT to create or change reports.

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly on Data

Data can be wrong. When we use AI in security applications, the risks become even more direct. As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. Predictions can be wrong. System designs can be wrong.

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The Power of Ontologies and Knowledge Graphs: Practical Examples from the Financial Industry

Ontotext

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. Integrating reporting to move to a more streamlined, efficient approach to data collection. We think their adoption will bring benefits well beyond reporting.

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Google Report Shows Android Users Need VPNs for Data Privacy

Smart Data Collective

Last September, the Government Accountability Office highlighted some of the issues about data privacy. If you have an Android device, you will need to be diligent about protecting against data privacy risks. Some of the risks and potential safeguards to consider are highlighted below. What does this mean for consumers?

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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. billion in 2022, according to a research study published by The Insight Partners in August 2022. from 2022 to 2028.