The Innovation Digest
Featured
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
Subscribe to the Innovation Digest
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
Working apart together: how to improve outcomes with data analytics
While originally a crisis response to enable business continuity, flexible work options are starting to define the modern workplace. Organizations around the world were thrust
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
Unblock innovation
the new way
Discover data-first ways to solve the impossible.