A subfield of artificial intelligence, machine learning (ML) uses algorithms to detect patterns in data and solve complex problems. Numerous fields and industries depend on machine learning daily to improve efficiency, accuracy, and decision-making. Recently, ML technologies have been reinforced by two subfields of their own: deep learning (DL) and computer vision. Read on for real-world examples […]
Data Science 101
Data Science is an interdisciplinary field that allows businesses to study and analyze large volumes of data and derive meaningful information from it. It combines elements of artificial intelligence, machine learning (ML), and knowledge engineering to uncover insights from data. Data Science uses ML techniques such as supervised learning, unsupervised learning, deep learning, and reinforcement learning […]
Seven Essential Data Management Skills
As businesses continue to promote a culture of data democratization, effective strategies for managing data migrations and ensuring secure data access are gathering steam. IDC predicts that advanced Data Management skills will be necessary for up to 50% of everyday business operations in both large enterprises and small organizations this year. Data centers are becoming increasingly important for […]
Data Literacy Assessment: How to Measure Success
There is no silver bullet for how organizations can drive data literacy throughout their organizations, but a few general elements include technology, processes, training and programs, and change management. Once an organization starts using data on a daily basis to extract actionable insights – and both the business leaders and line managers start valuing data […]
The Future of Deep Learning
Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely acknowledged for “humanizing” machines. Many of the advanced automation capabilities now found in enterprise AI platforms are due to the rapid growth of machine learning […]
Data Strategy 101
Organizations that treat data as a business asset look for ways to transform the entire business ecosystem into a data-driven entity. Yet, aligning business goals with data goals is neither easy nor straightforward; a systematic and well-defined Data Strategy must be conceived and developed to take the data-enabled business practices forward. In this Data Strategy 101 […]
The Fundamentals of a Data-Driven Approach
Organizations with a data-driven approach cultivate a culture that uses data and business insights to drive all company decisions. A data-driven organization encourages all stakeholders to base everyday business activities on data and insights instead of relying on their gut. In this data-focused business environment, data analysts safely serve as the “eyes” of the business, […]
Data Architecture Trends in 2023
With the onset of the pandemic, global businesses began to realize the power of operational efficiency, scalability, and growth. With this realization came the crucial need to shift their data centers to managed service ecosystems – cloud platforms in all their variations. However, locating a suitable data center partner on the cloud has not been an […]
The Importance of a Change Management Plan for Digital Transformation
In times of uncertainty in the global business landscape, the organizations that are quick to adapt and respond to change are the ones that survive crises such as the pandemic. In the past five years and especially during the pandemic, global organizations have been under tremendous pressure to adopt digital transformation to survive. The truth is that […]
Data Science Trends in 2023
Data and analytics are helping change the business world and as we head into 2023, this is the right time to predict how to work with data, by getting ready with the new year’s top data and analytics trends. Some of the top data-related trends driving the market today include advances in Data Science, data […]