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Combat AI-Powered Threats with Cybersecurity Simulations & Other Practices

Smart Data Collective

This method is in direct contrast to the typical security training program that relies on lectures or seminars delivered by security experts. These seminars build awareness but do not ensure employees change their behavior when confronted with a challenging situation. Simulation helps you account for these disparities seamlessly.

Testing 88
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The art of selling: IT budget approval made easier

CIO Business Intelligence

Sitting in this selling seminar, my persuasive difficulties with the CEO and CFO became immediately apparent to me. There might be a need in Finance for more low-code and no-code tools to assist users with risk assessments, or a need in Field Operations to upgrade servers that fail daily and jeopardize their work. That is the sell.

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How Novanta’s CIO mobilized its data-driven transformation

CIO Business Intelligence

On investing in capabilities: We’ve set up something called a BI Center of Excellence where we train and have workshops and seminars on a monthly basis that team members across Novanta can join to learn about how they could leverage data marts or data sources to build their own reporting. Here are some edited excerpts of that conversation.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources. They can use AI and data-driven cybersecurity technology to address these risks. It also prepares personnel on how to best respond to situations involving enterprise data compromises. In summary.

Testing 123
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Upskilling ramps up as gen AI forces enterprises to transform

CIO Business Intelligence

The goal is to shift the company from simply providing information to enterprises, says Mary-Alice Vuicic, chief people officer. As enterprises race to integrate cutting-edge tools and platforms, a greater focus to reskill employees on responsible and effective deployment becomes mission-critical. And then there are the legal risks.”

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

I first met Ralph in the early 1990’s while attending one of his seminars. Video: Empower 2021: Mitigating the risk associated with sensitive data across the enterprise. Ralph Kimball developed a data modeling and database design paradigm for this very need, it’s called dimensional modeling and/or star schema design.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. for DG adoption in the enterprise.