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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 253
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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. [AI AI companies] have a real use case for the cloud which is somewhat different than what we see from some other companies.

Cloud 238
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Best Data Analysis Software

Neil Patel

A unique feature of Zoho Analytics is its AI-powered assistant that can answer all your questions in the form of meaningful reports. You can use the tool to create and share reports, dashboards, and visualizations, building automated machine learning models. Microsoft Power BI offers two pricing plans: Power BI Pro : $9.99

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Actionable Analytics 101: How to Collect and Use Actionable Data Insights in SaaS

User Pilot

H2O Driverless AI uses machine learning workflows to help you make business and product decisions. IBM Watson Studio is another tool that uses machine learning models and data visualization to help you make business decisions. Alteryx is a platform for data scientists and data analysts.

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The 3 Best Analytics Companies of 2020

Neil Patel

But in the best case, the partners will leverage more advanced technologies, such as machine learning, that can help make better sense of the vast amount of data that you will have. You will find that the best insights from your data come after the raw data is analyzed by a machine, and then made sense of by a human.

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GTM 140: How Microsoft Scaled from $600M to $5B: The Enterprise Playbook with Hayden Stafford

Sales Hacker

Um, the goal was to bring all of those assets of Azure Modern Workplace, the business application side together, build a really powerful data set, um, all within that common data platform on Azure. Back then it was ML machine learning and. What it takes to close a $600M+ deal in the middle of a financial crisis.

Scale 64
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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