Remove Artificial Intelligence Remove Disaster Recovery Remove Machine Learning
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How we built an AI unicorn in 6 years

TechCrunch

Alex Dalyac is the CEO and co-founder of Tractable , which develops artificial intelligence for accident and disaster recovery. Here’s how we did it, and what we learned along the way. It started when I took a course on Coursera called “Machine learning with neural networks” by Geoffrey Hinton.

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10 top priorities for CIOs in 2025

CIO

Generative AI, when combined with predictive modeling and machine learning, can unlock higher-order value creation beyond productivity and efficiency, including accretive revenue and customer engagement, Collins says. Drafting and implementing a clear threat assessment and disaster recovery plan will be critical.

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Tractable raises $60M at a $1B valuation to make damage appraisals using AI

TechCrunch

Its business today is based mostly around car accident recovery — where users can take pictures using ordinary smartphone cameras, uploading pictures via a mobile web site (not typically an app). Hover secures $60M for 3D imaging to assess and fix properties.

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Why Your Healthcare Organization Should Consider HPE GreenLake for EHR

CIO

Furthermore, supporting Epic Honor Roll requirements, purchasing cycles, and disaster recovery places heavy demands on staff time, and recruiting, training, and retaining IT professionals can prove difficult. Implementing, maintaining, and scaling the solution can be slow, complicated, and costly.

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Competition is stiff, but retailers know what it takes to compete

CIO

Schwartz is an adjunct research advisor with IDC’s IT Executive Programs (IEP), focusing on IT business, digital business, disaster recovery, and data management. She often writes about cybersecurity, disaster recovery, storage, unified communications, and wireless technology.

Retail 97
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What is a managed service provider? Strategic outsourcing for IT services

CIO

This is achieved through efficiencies of scale, as an MSP can often hire specialists that smaller enterprises may not be able to justify, and through automation, artificial intelligence, and machine learning — technologies that client companies may not have the expertise to implement themselves.

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Designing generative AI workloads for resilience

AWS Machine Learning - AI

That will safeguard your prompts in case of accidental loss or as part of your overall disaster recovery strategy. High availability and disaster recovery – Embedding vectors are valuable data, and recreating them can be expensive. Is your vector database highly available in a single AWS Region?