Anomalous data can be disastrous to enterprise Data Management. Data corruption frequently occurs due to data silos or inconsistent data formats, divergent views of data through different systems, human errors, multiple data entries of the same data by multiple users, poor Data Governance and many more reasons. With an ever-growing stream of high-volume, high-velocity data […]
Types of Analytics Used in Organizations
Data analytics in businesses help uncover competitive intelligence, actionable insights and trends. Different types of analytics enable businesses to gain an edge over their competitors. In the “data first” era, data-driven insights and decisions have become the key drivers of business performance. This post reviews the different types of data analytics routinely used in enterprises. […]
Data Audit in the Age of Machine Learning: Goals and Challenges
Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence. What does this mean in terms of data audit? Let’s discuss it. […]
IT Teams Can Turn Insights into Action with Unified Observability Technology
Today IT teams are woefully understaffed and overwhelmed with dozens of pressing daily demands from across their organizations. They are under pressure to drive the performance, accessibility, and security of IT systems, services, and applications at a time when the uptick in remote work has made it even more challenging to support those areas. Their […]
How to Reduce AI Bias and Ensure Your AI Is Truly Intelligent
The importance of artificial intelligence (AI) cannot be understated. From a 5% increase in EBIT to the potential to create trillions of dollars in economic value, AI is the technology businesses are rushing to scale – and failing to do so could be catastrophic. But while AI has come a long way, there is one challenge that continues to hold it […]
Data Science Tools: Smart Assistants for Data Analytics
In a globally competitive world, businesses that haven’t invested in Data Science tools can have difficulty making timely decisions or applying actionable insights. Today, data scientists’ greatest asset is the technology platforms or the tools that they have access to. The tools of the trade can mine and analyze petabytes of data in seconds and […]
AI: The Key That Unlocks Clinical Trials and Matches Patients with Prospective Therapies
Thanks to ever-evolving advancements in modern medicine, many diseases and medical conditions with severe sequelae can now be treated through therapies not yet on the market. The clearest example of this was patients getting early access to the COVID vaccines during trials that undoubtedly saved lives. But while a clinical trial may potentially save a patient’s […]
Training a Machine Learning Model to Building a Predictive Web Application in Three Easy Steps
Do you remember when we took you through the nine circles of hell with parameter optimization and a cup of tea? We introduced a parameter optimization workflow that uses four different machine learning models, individually optimizes the hyperparameters, and picks the best combination of machine learning method and hyperparameters for the user. However, the usual data scientist journey […]
Machine Learning Best Practices
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 […]
Maximizing ERP Systems with AI and Wide Data
In the current business landscape, traditional enterprises are looking for agile technologies to accelerate growth and digital transformation. Many of these organizations have petabytes of data stored in enterprise resource planning (ERP) systems and while ERP platforms can provide an overview of “what happened,” many organizations want to know “what will happen” or “what’s the persona of my user?” or […]