The document discusses various topics related to data, analytics, and AI. It mentions that data governance is important but difficult for companies to implement. It also discusses the importance of external data sources and data engineering. One section describes a project that used various Google Cloud APIs to automate video and text translations. Another section reports that companies on average spend $1.06 million on AI and machine learning initiatives and use it most commonly for data analytics. The document promotes following its weekly vlog for similar content.

1. Data, Analytics & AI Weekly
February 22, 2021

2. “Data governance is
like flossing.”
People know it's good for them, but they'd
rather be doing something else".
A Three Point Plan To Do It Right
here

3. Why External Data
Needs To Be Part of
Your Data Strategy
In a 2019 Deloitte survey, 92% of data analytics
professionals said their companies needed to
increase use of external data sources.

4. Why Data
Engineering is so
Important
here

5. The life-changing magic of
making with ML
Perspective API to analyze text, taps into the Video
Intelligence API to create a smart family video archive,
showcases the power of Speech-to-Text, Translation, and
Text-to-Speech to automagically translate and dub
videos…all the way to using the Text-to-Speech API and
AutoML tables create a PDF-to-audiobook converter.

6. Are Organizations
Succeeding at AI &
Machine Learning?
On average, companies are spending $1.06M on AI and
machine learning initiatives.
AND
The most common ways that businesses report using AI
and machine learning functionality is as a component
of data analytics!
More here

7. How CIOs Can
Avoid Making The
Wrong Data
Decisions
More here

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