Quantum computing is on the cusp of turning the data science world upside down, offering a level of processing power we’ve only dreamed of until now. This new frontier has an incredible potential to reshape the way we approach data analysis, predictive modeling, and solving the kind of complex problems that have always been a tough […]
Unveiling the Power of Dark Data in Strategic Decision-Making
If you’ve never heard of dark data, you’re not alone. Setting aside the ominous name, dark data isn’t something that is inherently bad – although, in practice, it usually does end up this way. Dark data is usually unstructured data, though it can also be semi-structured or structured data that a business collects and stores but […]
IoT Data Governance: Taming the Deluge in Connected Environments
The Internet of Things (IoT) has rapidly redefined many aspects of our lives, permeating everywhere from our jobs to our homes and every space in between. However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. This article, which is infused with insights from leading experts, aims to demystify […]
Semantic Web and AI: Empowering Knowledge Graphs for Smarter Applications
Data is the cornerstone of innovation in today’s highly digital world. However, in its raw state, data isn’t very useful as it lacks meaning and context. This is where the Semantic Web comes in – it provides a framework that imbues data with meaning, allowing machines to understand and process it just as humans do. […]
The Power of Graph Databases to Detect Fraud
Graph databases play a key role in fraud detection within intricate, complex networks, helping security teams keep pace with modern fraud techniques that are becoming increasingly more sophisticated. Graph databases can identify patterns and relationships in big data, reducing the level of complexity so that detection algorithms can effectively discover fraud attempts within a network. […]
The Growing Impact of AI on Data Science in 2023
While AI’s ubiquity is becoming increasingly evident through everyday tools like chatbots, smart cameras, and smart content generation, there’s an expansive universe of less recognized but highly potent advancements poised to redefine how data scientists interact with and leverage the burgeoning volume and complexity of datasets. Emerging AI trends such as natural language processing, reinforcement learning, […]
When to Use AutoML vs. Manual ML: A Full Guide
Automated machine learning (AutoML) is a set of tools and techniques that automate the design, training, and deployment of machine learning models. AutoML has become essential due to the amount of data involved when creating ML models, helping to save a significant amount of time, human resources, and money. Although manual machine learning is not obsolete, automating […]
Should You Consider a Unified Data Model?
A unified data model allows businesses to make better-informed decisions. How? By providing organizations with a more comprehensive view of the data sources they’re using, which makes it easier to understand their customers’ experiences. A singular, interrelated network that’s connected to one source of truth gives organizations a more efficient, accurate, and comprehensive analysis of […]
Data Strategy Prerogatives That CIOs Need in 2023
Without data, businesses wouldn’t have much to work with when making informed decisions. Data by itself, though, isn’t enough for business leaders to rely on when they’re driving growth; a gigantic collection of data isn’t worth nearly as much as a data strategy defining how you use and manage your data. Without a solid data […]
How Descriptive Analytics Leverages Data for Better Decisions
Organizations are recognizing that data can be a powerful business asset, and are investing in data analytics to provide this valuable tool. According to research, more than 95% of all organizations today incorporate data initiatives into their business strategies. However, most businesses falter when it comes to effective and efficient uses of data. Descriptive analytics, the most […]