Efforts to democratize Data Science can be described as creating an environment that allows people with little expertise to perform Data Science research. This approach can be especially useful for businesses desperate to access the skills of a data scientist, but unable to hire one. A variety of user-friendly analytics tools have become available to support staff […]
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 […]
An Introduction to Reinforcement Learning
In this blog post, I’d like to introduce some basic concepts of reinforcement learning, some important terminology, and a simple use case where I create a game playing AI in my company’s analytics platform. After reading this, I hope you’ll have a better understanding of the usefulness of reinforcement learning, as well as some key […]
How to Make the Jump to AI
AI and machine learning models are being used to help companies stay competitive by discovering new revenue opportunities, improving risk management, detecting fraud, and streamlining business processes. But years ago, data science wasn’t even on the curriculum at universities, so many software engineers are acquiring the necessary skills on their own. From my experience, anyone who […]
3 Common Business Intelligence Challenges
Typical business intelligence implementations allow business users to easily consume data specific to their goals and daily tasks. The ability to analyze both past and present events unlocks information about the current state and is essential for remaining competitive in today’s data-forward market. With that in mind, there are some common business intelligence challenges that […]
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, […]
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 […]