eSecurity Planet
MAY 27, 2021
The explosion of ransomware and similar cyber incidents along with rising associated costs is convincing a growing number of insurance companies to raise the premiums on their cyber insurance policies or reduce coverage, moves that could further squeeze organizations under siege from hackers. Insurers Assessing Risks.
Reltio
MAY 12, 2020
In the first installment of our Data Innovator Spotlight series, we examine what makes an effective data innovator. Data innovators have a seat at the table in meetings where transformation discussions happen. They share their point-of-view about the strategic use of data in their company’s transformation.
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IBM Big Data Hub
FEBRUARY 13, 2024
Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.
IBM Big Data Hub
APRIL 18, 2024
Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.
Collibra
JUNE 1, 2022
Collibra Adaptive Data and Analytics Governance helps create a culture of trusted data that fuels better decision-making by: Bringing metadata into one central location via native integrations and APIs to important data sources, business applications, data science and BI tools so that data is available and easily accessible across your organization.
Collibra
MARCH 4, 2020
However, there’s always the risk of a bottleneck that leads to delays in meeting urgent requests. Decentralized: Each business group has its own data office, freeing up the function to serve particular needs and priorities — a major advantage when agility is the prime driver of growth.
IBM Big Data Hub
JULY 17, 2023
By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.
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