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What is big data and why is it important to Business ?

Analysts Corner

Velocity refers to the speed at which data is generated, analyzed, and processed. Variety refers to the different types of data generated, such as text, images, and video. Why is big data important to business? Healthcare providers can use big data to analyse patient data to improve treatment outcomes and reduce costs.

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5 Considerations for Choosing the Right Data Center

Smart Data Collective

Data center compliance can mean the difference between passing an audit and getting entangled in litigation. Security is also an essential consideration for data centers. For example, healthcare providers who handle sensitive patient data require data centers that are explicitly HIPAA-compliant.

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Fundamentals of Data Analytics

The BAWorld

Organizations may gain a competitive advantage, streamline operations, improve customer experiences, and manage complicated challenges by analyzing massive amounts of data. As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities.

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How AI is Changing the Data Integration Process 

Astera

These algorithms can identify patterns in data and use machine learning (ML) models to learn and adapt to new data sources. AI also uses computer vision to extract data from images and videos. These algorithms are particularly useful when dealing with data sources that have different data formats or structures.

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Must-Have AI Features for Your App

Sisense

Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .

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Ethical Concerns With AI/ML – Some Myths vs. Facts

GAVS Technology

These technologies are expected to lead to disruptive innovation in all spheres. AI applications can raise challenges in the healthcare industry. Balancing the privacy of patients with safety is crucial, as many patients may be reluctant to share certain categories of data like genetic information or family history.

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A Guide to Building Better Data Products

Juice Analytics

One of our clients has data on the learning activities of more than 60% of all healthcare workers. But before getting down to designing the data product, you'll want to get the right people in place. She crafts the interface and interactions to make the data intuitive. Want to know more? Give Juicebox a try.?.