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Predictive analytics: How to build machine learning models in 4 steps
Predictive analytics is a complex process that involves many steps and procedures—from collecting and preparing data to communicating findings through eye-catching dashboards. But there’s one

Predictive analytics: How to build machine learning models in 4 steps
Predictive analytics is a complex process that involves many steps and procedures—from collecting and preparing data to communicating findings through eye-catching dashboards. But there’s one
- Advanced Analytics, Featured
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5 ways business intelligence helps telcos gain competitive advantage
As an industry that capitalizes on the transfer and exchange of data, the telecom sector has a wealth of data on their hands they can

Quality Data, Quality Results: The Importance of Good Data Quality Management
Organizations across various industries capitalize on business opportunities with the help of advanced analytics that work to capture and convert data into value-creating insights. Capturing

Predictive analytics: How to build machine learning models in 4 steps
Predictive analytics is a complex process that involves many steps and procedures—from collecting and preparing data to communicating findings through eye-catching dashboards. But there’s one

Data collection, preparation, and cleaning: A guide
What do data analysis and baking a cookie have in common? Well, aside from the fact that they both produce something valuable—one being insightful information

How to defend against Ransomware, the threat that holds your data and business hostage
With contributions by Anwar Haq Ransomware has grown to become a significant threat to organizations today, no matter the size or industry. Cybercriminals are exploiting

Who is responsible for cloud security—the provider or customer?
With the shift to distributed workforces and digital business models, cloud infrastructure and tools have become indispensable to the modern enterprise. But this growing reliance

Why and when enterprises should care about Model Explainability
Machine learning models are often used for decision support—what products to recommend next, when an equipment is due for maintenance, and even predict whether a

A huge chunk of machine learning models are never operationalized—here’s why
As organizations refocus and restrategize this year, machine learning projects seem to be on the top of IT priority lists. Innovation is more important than

Selling amid the ecommerce explosion: 4 success factors to consider
The new normal brought digital commerce to the forefront, with customers preferring remote sales, online ordering and payments, and contactless purchases. The question is, are
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