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How Snowflake Empowers Healthcare & Life Sciences Organizations to Generate Real-World Evidence for Better Patient Outcomes

How we eat, exercise, work, and rest play an important role in influencing our health outcomes. It’s been established that healthcare and life sciences (HCLS) organizations can improve health outcomes when they have access to this type of data on patients to inform real-world evidence.

Databases vs. Data Warehouses: What are the differences?

When it comes to data management, there are two main options: databases and data warehouses. Both have their unique benefits and drawbacks, so it can be challenging to decide which option is best for your business. This article will discuss the differences between databases and data warehouses and help you decide which option is right for you.

What are Fully Integrated Ecommerce Platforms?

The advantages of fully integrated Ecommerce platforms include: As an Ecommerce business, your hands are already full enough without worrying about IT integrations. You constantly need to be improving the customer experience, performing inventory management to keep products in stock, refining your predictions and forecasts, and a variety of other activities.

Maximize Your API Revenue

The International Monetary Fund (IMF) is projecting a significant slowdown over the coming years, with global growth dropping sharply from an estimated 6.1 percent in 2021 to 3.6 percent in 2022 and 2023. Meanwhile, Reuters polls reveal that the global streak of high inflation is far from over. As such, businesses need to be doing all they can to maximize their revenue – not through increasing spend on new infrastructure, but by getting maximum business value out of their existing product.

5 Things To Look For In An Embedded Analytics Partner

Embedded analytics can help companies gather as much information as possible and gain a competitive edge, be it via sophisticated data mining, data visualization, and reporting, capabilities. However, not all business intelligence (BI) partners are equal. This blog will help you identify what you should look for in an embedded analytics partner. Table of Contents.

Best Practices for Succeeding with MLOps

Data science is an important skill, but the hard truth is many organizations aren’t seeing the ROI showing that data science work is making a business impact. Yet today, many organizations are still struggling to adopt a holistic approach centered around creating business value. Instead, they are focused on theoretical work. Here at Iguazio, we recently held a webinar with Noah Gift, founder of Pragmatic A.I. Labs, professor, author and MLOps consultant.

How is big data analytics changing the retail market?

The retail industry is being reshaped by big data analytics. From supply chain management optimization so your favorite product is always in stock to deliveries that happen in under 1h that fulfill the immediate customer needs, retail businesses are using predictive analytics to drive growth. In this article, we will look at what big data analytics is and what are the three main drivers it uses to reshape the retail sector. Let us start with some clarity surrounding the terms.

Algebraic Data Types in Elixir

Elixir is a dynamically-typed language. Types in Elixir are checked when a program runs, not when it compiles. If they don’t match up, an exception is thrown. In statically-typed languages, types are checked during compile time. This can help us write code that is correct, understandable, and refactorable. But it also introduces a certain focus on types as the foundation for your application. One interesting concept is to use types to model your business domain.

Should our Exploratory Testing Be Automated?

Exploratory tests are always different tests that are created and conducted at the same time. According to this concept, their automation may appear unnatural. Nonetheless, the deployment of automation based on predetermined and unpredictable circumstances may be of interest: the detection of business flaws. Exploratory testing emphasizes discovery, research, and learning, whereas automation testing focuses on test designs, test cases, test procedures, and test outcomes.