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Microsoft as a Mirror - What We Can Expect for SaaS in 2023

Tom Tunguz

We saw moderated consumption growth in Azure and lower-than-expected growth [elsewhere]. Segment Expected Growth Productivity 12% Office Commercial 6% Office On-Premise -25% LinkedIn 5% Dynamics 13% Intelligent Cloud 18% Azure 26% Server -3% Services -3% 2. Machine learning shines as the one bright spot amidst declining growth.

Azure 236
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10 Predictions for Data at the Impact Summit

Tom Tunguz

Look no further than the massive companies pushing the public & the private market forward: Snowflake, Databricks, Amazon, Azure, Google Cloud. 2020 is the decade of data. It’s quite possible that data products have created more market cap than any other subsegment of SaaS in the last five years.

Data 227
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A Flare Across the Clouds : Cloudflare's Earnings Report

Tom Tunguz

Machine-learning companies are an important agent of growth & seem to be less loyal to a platform as they seek the most economical solution for their data storage & compute needs. Yesterday, Cloudflare announced earnings. I’m adding Cloudflare to the list of tracked companies for this series.

Cloud 222
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Best Resources for Data Analysts

User Pilot

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets.

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How to Become a Data Analyst [+Tools and Resources]

User Pilot

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets.

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Data Analyst Job Description and Templates

User Pilot

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets.

Data 52
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Best Resources for Data Scientists

User Pilot

To excel, leverage resources like books (e.g., “Python for Data Analysis”), webinars (Data Science Salon, BrightTALK), blogs (Data Science Central, KD Nuggets), podcasts (Lex Fridman Podcast, Data Skeptic), and certifications (Senior Data Scientist (SDS), Microsoft Certified: Azure Data Scientist Associate, etc.).

Data 52