CIO
DECEMBER 21, 2022
After Google’s cooperation with T-Systems and the “ Delos ” offer from Microsoft, SAP, and Arvato, AWS now follows suit. Across the globe, customers should not wait any longer for a magical one size fits all solution or ever trust that their due diligence of regulatory requirements can be delegated to any vendor.
TechEmpower CTO
AUGUST 21, 2023
The answer is to engage a trusted outside source for a Technical Review – a deep-dive assessment that provides a C-suite perspective. At TechEmpower, we’ve conducted more than 50 technical reviews for companies of all sizes, industries, and technical stacks. A technical review can answer that crucial question.
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CIO
OCTOBER 24, 2023
When we consider what security means for an organization, most think of needing to secure systems and devices like cloud computing instances, servers, employee workstations, and other tech commonly seen in the workplace. To address this, attack surface management (ASM) offers a lifeline for organizations to secure their OT systems.
CIO
NOVEMBER 7, 2023
These global events have also underscored the crucial significance of safeguarding our critical infrastructure against domestic or foreign attacks. It’s easy to envision the outcomes that could arise from a major assault on our vital infrastructure.
CIO
APRIL 28, 2023
After Google’s cooperation with T-Systems and the “ Delos ” offer from Microsoft, SAP, and Arvato, AWS now follows suit. Across the globe, customers should not wait any longer for a magical one size fits all solution or ever trust that their due diligence of regulatory requirements can be delegated to any vendor.
Xebia
AUGUST 9, 2023
With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.
CIO
JULY 10, 2023
For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.
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