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Benefits and Challenges Advancing Data Maturity in the World of Insurance

Data Virtualization

Reading Time: 3 minutes Insurers are constantly challenged with compliance requirements changes, most of which heavily rely on excellent data management. It is crucial for insurers to examine their current data management practices with a critical eye and assess if they are setup to.

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Enveil, a provider of encrypted, privacy-focused search and analytics tools, raises $25M

TechCrunch

Collectively, as we mature as a digital society, many of us are getting more aware, and more wary, of how our profiles and information exist and are used (and misused) online. Image Credits: Enveil (opens in a new window).

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DevOps in a data science world

Xebia

Many organisations have a new ambition to become a data-driven organisation. In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Data & Analytics as a separate business domain.

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Generative AI in Healthcare

John Snow Labs

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

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What Does Enterprise Risk Mean During the COVID-19 Pandemic?

Battery Ventures

COVID-19 has upended our world. Every industry goes through waves of innovation, from early adoption through take-off, then into maturity. Mature stage: Financial services. Even in a crisis, companies in mature sectors need to be thinking about how to jump to their next S-curve. Take-off stage: Insurance and healthcare.

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Cybersecurity Snapshot: As ChatGPT Fire Rages, NIST Issues AI Security Guidance

Tenable

Plus, how organizations are balancing AI and data privacy. With its new “Artificial Intelligence Risk Management Framework,” NIST hopes to create awareness about AI products’ unique risks, such as their vulnerability to be unduly influenced and manipulated through tampering with the data their algorithms are trained on. And much more!

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How to Overcome Legacy System Integration Challenges With RPA?

Trigent

Robotic process automation, or RPA, continues to grow in popularity from the time it has come into being for the amazing benefits to businesses and independent software vendors (ISVs). RPA continues to mature thanks to advanced technologies that make it an essential aspect of intelligent automation systems. from 2022 to 2030.

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