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When trying to find the perfect database to store your company’s valuable information and data, there are many elements to consider. And, while there are a number of great databases available for companies to choose from, the process of choosing the right database for your company’s needs and goals can still be a difficult process. However, as you weigh your options, one database that needs to be on your list of considerations is Vertica.

Data has long been a critical asset for businesses like yours to understand customers, operate more efficiently, inform go-to-market strategies, and retain your best employees. In a digital world, capturing and creating data-driven insights provides a major competitive advantage for those who can turn insights into action.

Data has long been a critical asset for businesses like yours to understand customers, operate more efficiently, inform go-to-market strategies, and retain your best employees. In a digital world, capturing and creating data-driven insights provides a major competitive advantage for those who can turn insights into action.

From viral social media posts to spambots, marketers weigh in with the most common causes of direct traffic spikes (and how to address it).

Most enterprises that have embarked on their digital business journey have quickly realized that data is the foundation of every digital business. No successful digital business has succeeded without a data strategy. So, when I joined Joe DosSantos, Chief Data Officer at Qlik, on the Data Brilliant podcast, we discussed how data has been democratized, why certain organizations have succeeded with digital transformation, and what factors are required to build the culture for success.

We can all agree that protecting your organization’s sensitive and confidential data, including personally identifiable information (PII), is a crucial obligation. Unfortunately, far too many businesses aren’t sure of the best way to fend off attackers or insider threats, so they often fall victim to devastating data breaches.

Organizations increasingly turn to AI to transform work processes, but this rapid adoption of models has amplified the need for explainable AI. Explaining AI helps us understand how and why models make predictions. For example, a financial institution might wish to use an AI model to automatically flag credit card transactions for fraudulent activity. While an accurate fraud model would be a first step, accuracy alone isn’t sufficient.