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ISVs vs SaaS: What’s the Difference?

Stax

Some well-known examples are Adobe, a design and creator platform, Autodesk, a leading construction management system; and Meditech, a healthcare information systems solution. Microsoft Azure, Amazon Web Services (AWS), or Salesforce AppExchange). What are SaaS companies?

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What is an ISV Partner? Here’s Everything You Need to Know About Independent Software Vendors

Stax

From healthcare to construction to finance, every industry is powered by digital solutions tailored to their unique needs. AWS, Microsoft, Salesforce) to integrate, co-market, and grow together. Think: cloud platforms and operating systems like Microsoft, Amazon Web Services (AWS), the Salesforce ecosystem, or a payment platform.

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Best Resources for Data Analysts

User Pilot

They work in many different industries, from business and finance to healthcare and government. Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis. What does a data analyst do?

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What is a Data Analyst? Responsibilities, Salaries, and More

User Pilot

They work in many different industries, from business and finance to healthcare and government. Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis. Google Data Analytics, Microsoft Azure Data Scientist Associate). What does a data analyst do?

Data 52
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SaaStr Podcasts for the Week with Byron Deeter, Elliott Robinson, Henry Schuck, and Jason Lemkin

SaaStr

This here is an example from a Burmese restaurant called Thamee, in DC, which has partnered with World Central Kitchen, and they’re donating thousands and thousands of meals to people in need, healthcare staff, and frontline workers, Black Lives Matter protesters in the community. It is staggering.

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Data Scientist Job Description and Templates

User Pilot

For instance, a data scientist at a healthcare company might focus on analyzing patient data to identify patterns and predict health outcomes, while a data scientist at a financial institution might specialize in developing fraud detection algorithms and risk assessment models. Bonus points : Experience with cloud platforms (AWS, Azure, GCP).

Data 52
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AI Food Fights in the Enterprise

Andreessen Horowitz

From a strategy standpoint, let’s say you had a big dataset like a healthcare dataset, some kind of security dataset, or Nielsen’s dataset. It will be like AWS, GCP, and Azure. We’re trying to figure out which of them I should give it to.” This is what’s happening internally right now.