Stax

APRIL 18, 2024

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?

Outsourcing Services 88

Outsourcing Services SaaS Payments Payment Services Payment Methods 88

User Pilot

JULY 25, 2024

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?

Artificial Intelligence 52

Artificial Intelligence Data Azure Machine Learning 52

User Pilot

JULY 28, 2024

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

Data Artificial Intelligence Machine Learning Data Analysis 52

User Pilot

JULY 28, 2024

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

Data Technical Review Artificial Intelligence Machine Learning 52

Andreessen Horowitz

SEPTEMBER 25, 2023

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.

Enterprise 110

Enterprise AI Artificial Intelligence Generative AI 110

User Pilot

JULY 14, 2024

They work in many different industries, from business and finance to healthcare and government. 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.

Artificial Intelligence 52

Artificial Intelligence Data Machine Learning Data Analysis 52

User Pilot

JULY 14, 2024

Bonus points : Experience with cloud platforms (AWS, Azure, GCP). finance, healthcare) or lead and mentor junior data scientists. Look for companies working in areas that pique your interest, such as healthcare, finance, or technology. Experience with data visualization tools (e.g., Tableau, Power BI).

Data 52

Data Technical Review Artificial Intelligence Machine Learning 52