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Delivering business value for insurance companies

Collibra

Recapping a discussion moderated by Stijn Christiaens and featuring insurance data experts from Deloitte UK . Insurance is a data-intensive business. Insurance companies need data to better assess risks and price policies competitively, but also profitably.

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UnitedHealth Group invests $8.25M to aid data scientist education

Information Management Resources

The health insurer and the Atlanta University Center Consortium—the oldest and largest consortium of historically black colleges and universities—are partnering to help students become data analytics experts.

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LW ROUNDTABLE: Cybersecurity takeaways of 2023 — and what’s ahead in 2024 ( part 1)

The Last Watchdog

Traditional SIEMs are losing ground to newer platforms optimized for handling large volumes of fast-moving security data and providing greater agility, scalability and real-time threat analytics. Ongoing education and skill development requires educating teams and ensuring employees become proactive contributors to organizational defense.

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How threat hunters stay informed and collaborate 

OpenText Information Management

Externally, they collaborate with clients, cybersecurity insurance companies, and supply chain vendors, and other connections in the industry. Non-technical skills such as communication, problem-solving, and analytical ability are equally important.

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Attracting and Retaining the Next Generation of Information Management Leaders

AIIM

Jeff Lewis from Farmers Insurance pointed out that the pandemic may have shaped the perceptions and experiences of Gen Z, who entered the workforce during the pandemic. This preference for in-person work stems from having completed much of their higher education virtually and a desire to establish meaningful relationships.

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The most valuable AI use cases for business

IBM Big Data Hub

Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. Education In education and training , AI can tailor educational materials to each individual student’s needs. Teachers and trainers can use AI analytics to see where students might need extra help and attention.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.