Running out of budget. Economic calamity. Global pandemic. The risks to our AI initiatives are, literally, all around us. Some of them we cannot control, but some we can. In this piece, we’ll review and assess some of the most common mistakes practitioners make that lead to suboptimal or significantly delayed transformation processes. It’s worth […]
Data Science Metrics: Purpose and Uses
When one thinks of “metrics” in the context of Data Science, the term might denote raw numbers as in descriptive metrics, qualitative labels as in marketing analytics, or comparative labels as in website analytics. Metrics come in many different forms and structures, but the primary objective of Data Science metrics is to measure and report […]
Analytics Solutions: Applications and Use Cases
Data and analytics are particularly critical to today’s businesses because they improve strategic decision-making. Analytics solutions and use cases provide customers with added value in health care, retail, higher education, manufacturing, and other industries that capture a lot of valuable data. By harnessing different types of analytics available, organizations across varying industries can understand how products are […]
Analytics Governance: The Big Picture
Data Governance applied to analytics, business intelligence (BI), or data modeling is nothing new, but Analytics Governance is somewhat different from Data Governance, says Malcolm Chisholm, president of Data Millenium. Chisholm spoke at DATAVERSITY’s Enterprise Analytics Online, stating that Analytics Governance is focused within a more centralized unit rather than the distributed model Data Governance requires. “There […]
OSINT Basics for Safety and Profit
The internet is the world’s largest information database. Inside the giant mountain of data it contains, there are insights and tools to inform just about any issue your organization might be having. The problem is, when confronted with the issues, you can’t simply brandish the whole mountain in defense. To carve out the correct tools, […]
Boost Business Value with a Well-Defined Enterprise Analytics Strategy
As digital technologies spread their roots in the business world, organizations have access to more data than ever. This data becomes an essential organizational asset when utilized for enriching business strategies. But the process of turning data into insights is as important as the data itself. Hence, more and more organizations across sectors are deploying advanced analytics to grow […]
Data Science Solutions: Applications and Use Cases
Data Science is a broad field with many potential applications. It’s not just about analyzing data and modeling algorithms, but it also reinvents the way businesses operate and how different departments interact. Data scientists solve complex problems every day, leveraging a variety of Data Science solutions to tackle issues like processing unstructured data, finding patterns […]
The Role of Decision Science in Shaping Business Analytics
The field of decision science focuses on making data-informed decisions. Decision science helps to analyze the impact of a decision on the business. The best decisions are often made with a combination of data and precise business questions. The more precise the questions, the more precise the data requirements will be. Harvard’s Center for Health […]
Is Your Business Ready for Data Science?
As data science and AI technologies become more integrated into everyday business processes, more and more companies are seeing their tremendous benefits. But there are challenges with successfully deploying AI in a manner that drives measurable business outcomes. I wanted to share with you some of the best ways to address those challenges and help […]
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 […]