FlexiLingo
AI success starts with data. As organizations race to deploy AI initiatives, many discover that the biggest challenges aren't GPUs or models—they're data governance, data quality, compliance, and managing information across hybrid environments. In this episode of the Tech ONTAP Podcast, Justin Parisi is joined by Ahmed Al-Nabhani, Senior Solutions Engineer at NetApp, to discuss how enterprises across the GCC region are modernizing their data infrastructure to support AI at scale.
打开播放器：完整文字稿，每个单词都可点击，附翻译和单词卡。
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B2 · 中高级
能看懂电视新闻就会觉得轻松
- 81% 的单词在 B1 或更简单的水平。
- 每分钟 169 词：自然语速，偏快。
- 整集共有 157 个较难的单词（B2 及以上）。
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本集中 8 个较难的单词。点一个查看释义，然后标记一下。
标记几个单词，我们会告诉你这一集是否适合你的水平。
这一集适合你吗？
B2 · 中高级
能看懂电视新闻就会觉得轻松
- 81% 的单词在 B1 或更简单的水平。
- 每分钟 169 词：自然语速，偏快。
- 整集共有 157 个较难的单词（B2 及以上）。
文字稿
本集开头部分。完整文字稿在播放器中。
较难的单词（B2+）
Data modernization is no longer just about where data lives. It is about making data accessible, protected, governed, and ready for the next wave of innovation, especially as organizations look to bring AI from experimentation into production.
This week, Ahmed Al-Nabani joins us to talk about AI, data modernization, and how NetApp helps solve some of your toughest data challenges. I love NetApp because it's so funny. I'm here in the basement of my house and I have Ahmed on the body with me.
We're here to talk about AI stuff like AI data pipelines, AI modernization, and how it really integrates in with the NetApp story. So Ahmed, what do you do here at NetApp and how do I reach you? Thank you so much Justin for having me on this great podcast.
以上是开头部分。 本集其余部分（35 分钟）在播放器中：每个单词都可点击，附翻译、生词收藏和单词卡。
在播放器中继续由音频自动生成，可能存在错误。 音频版权归其发布者所有，并从其订阅源播放。版权所有者可申请删除 — 版权与删除政策