Artificial intelligence (AI), machine learning (ML), and data science are together transforming modern organizations in new ways. These highly advanced technologies—along with a long queue of related technologies—have reshaped global organizations of all shapes and sizes in recent times. The cumulative success of these technologies in businesses is so huge that now the remaining organizations […]
A Pragmatic Approach to AI in the Enterprise
Enterprise artificial intelligence (AI) adoption continues to surge in the wake of the pandemic. According to IDC, the AI solutions market is on track to break the $500 billion mark in 2024 – a significant jump from $341.8 billion in 2021. At the same time, the ROI on AI initiatives is quite low. More than three […]
Why Data Storytelling Matters to Data Scientists
In an increasingly data-driven world, companies worldwide have transformed the way they operate. Much of this is thanks to their ability to access a volume of data that was not available in the past. However, more recently, organizations have realized that simply collecting data is not enough, with many struggling to master the language of data. […]
Case Study: New Innovations in IoT Technologies for Manufacturers
Manufacturers want to save money, conserve energy, and reduce greenhouse gas emissions, but it’s a challenge to see where and when energy use is occurring. When the utility bill arrives, a manufacturer can see how much total energy was used, but energy use is not broken down on a machine-by-machine basis. Invisible energy use hides […]
How AI Can Help Identify Opportunities Before They Expire
Opportunity knocks but once. It’s true – great opportunities must be seized when they come. But it’s also important for organizations to watch for signals and identify opportunities to stay ahead of the curve. Trend identification can span across a broad range of industries and functions such as financial institutions, competitive intelligence, strategic advisory, innovation scouting, and business […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Data Science vs. Data Analytics
The data scientist and the data analyst represented two of the “most in-demand, high-paying jobs in 2021.” The previous year, the World Economic Forum Future of Jobs Report 2020 listed these jobs at the top of a list representing most in-demand jobs across industries. In data analytics, which is often referred to as business analytics, […]
What You Don’t Know About Real-Time Data Is Killing You
One of the biggest pitfalls companies can run into when establishing or expanding a data science and analytics program is the tendency to purchase the coolest, fastest tools for managing data analytics processes and workflows, without fully considering how the organization will use these tools. The problem is that companies can spend much more money […]
Exploring Data Visualization in Three Steps
Data analytics has accompanied me for 15 years already. I started my career as a data analyst in a controlling department immediately following my graduation from the University of West Bohemia; I now work as a data scientist providing consultancy services for a range of different fields. The data analysis itself is the fun part. […]
Case Study: Executing an Effective Data Strategy
Few tasks are more logistically and technologically daunting than providing air, land, and sea transportation for the U.S. military across the entire world. Yet that is precisely the mission of the United States Transportation Command, or USTRANSCOM. According to a Congressional Research Service report, on any given day USTRANSCOM conducts over 240 air missions, sends […]