INSIGHTS & PERSPECTIVES

How do you make sure that your AI/ML project doesn’t land in the heap of failures? The best way is to properly align your AI initiatives with the business’s strategic goals from the get-go....

How do you get started with machine learning? A good first step is choosing the right use cases for machine learning (ML). Given that some 87% of machine learning projects fail ...

Data scientists are experts at answering business questions with data. They may use tools such as machine learning, deep learning, artificial intelligence, and natural language processing...

The nation’s largest grocery chain knows it must build relevance, loyalty, and authority with its customers in order to command customer preference...

No matter how creative you are, you can’t possibly proactively identify every possible data validation. You have to accept that some, perhaps even most, of the possible data problems will be found...

What’s the cost of having bad data quality? Gartner estimates that organizations lose $15 million per year from bad data. IBM puts the cost to U.S. companies at $3 trillion per year...

What makes an organization successful at being data champions? A recent survey sponsored by Tableau and conducted by IDC...

Previously, we wrote about the benefits of using machine learning (ML) to replace costly algorithms and adapt more fluidly to changing data. In this blog, we give you a step-by-step primer on...

Algorithms are used across all industries to manage big data – from predicting buying trends (how much toilet paper a store should buy) to adding products to online product catalogs...

If you’re selling directly to consumers online, one of the best ways to enhance customer loyalty is through eCommerce subscriptions. That means enabling customers to automatically...

Innovation leaders and product teams look to remain competitive by developing new digital products and services that drive value. But building a digital product or developing a...

Digital innovation is the key to staying relevant in today’s business world. With post-Covid demand for your products and services, now is the time to think about digital...

A serverless architecture is a way for companies to build applications without having to manage the back-end infrastructure. It sounds like a dream, and it can be, but there are complexities to...

Data visualization is a game-changing tool for powering your data analytics, and Microsoft Power BI continues to gain strength as the go-to solution for data visualization. In this webinar, you will learn...

Creating a customer journey map is a collaborative process of gathering qualitative and quantitative data to create a visual story of how people interact with your product to achieve their goals...

This last year forced companies to make complex decisions on the fly, accelerate digital adoption, and become even more nimble as we navigate changing market demands...

Cost savings have been one of the biggest drivers pushing companies to adopt a cloud data infrastructure in recent years. As IT teams have been focused on building data cloud solutions...

If your organization is using data analytics to tell you only what has happened – you’re already behind. With the maturity of cloud architecture over the past few years, the value that data can...