The insurance industry has witnessed a significant shift in recent years as technological advancements continue to transform traditional business models. From underwriting to claims management, artificial intelligence (AI) and machine learning have paved the way for innovative solutions that improve efficiency, accuracy, and customer satisfaction. One such breakthrough is the emergence of AI-powered solutions such […]
Why Automated Data Extraction Matters in the Digital Age
In today’s fast-paced business world, one of the best ways for a modern enterprise to optimize processes is to rethink how to manage data. Business documents contain vital information for companies, irrespective of their size and industry. As most of these business documents contain unstructured data, automated data extraction has become a go-to option for […]
2022 Predictions: Databases, AI, Chaos Engineering, and More
As we get started with 2022, organizations continue to leverage new strategies and technologies to maximize the value they get from data. These emerging trends will play a major role in shaping how enterprises use and harness data this year and beyond. Read on for our predictions regarding databases, AI, chaos engineering, and more. Siddon […]
A Beginner’s Guide to AI and Machine Learning in Web Scraping
With uses spanning personalized medicine to the creation of social media clickbait, the use of artificial intelligence (AI) and machine learning (ML) is expected to transform industries from health care to manufacturing. Web scraping is no exception – and while its use is definitely not the answer to every data collection challenge, simple applications of AI/ML can enhance the process and increase […]
Top Use Cases for Data Management Automation
Click to learn more about author Daniel Pullen. Nowadays, we are surrounded by data: We produce a lot of personal data and work with a significant amount of data. When it comes to the business environment, data is crucial for effective decision-making, which makes it a highly valuable resource. But it needs to be well […]
Data Preparation Need Not Be Cumbersome or Time Consuming
Click to learn more about author Kartik Patel. Data drives decisions and, in today’s competitive business environment, the kind of fact-based decisions achieved through advanced analytics are mandatory. These data-driven decisions ensure that a business does not make a misstep or have to guess at forecasts, plans, and the root cause of problems. But, with […]
What Is Augmented Data Preparation and Why Is It Important?
Click to learn more about author Kartik Patel. The average business user does not have a full grasp of advanced data discovery or data preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. If a business provides a solid foundation for self-serve business intelligence […]
Challenges of Integrating Heterogeneous Data Sources
Click to learn more about author Ibrahim Surani. With enterprise data pouring in from different sources – CRM systems, web applications, databases, files, etc. – streamlining data processes is a significant challenge as it requires integrating heterogeneous data streams. In such a scenario, standardizing data becomes a pre-requisite for effective and accurate analysis. The absence […]
The Art of Data Extraction
To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sourcing data from the […]
From a Single Decision Tree to a Random Forest
Click to learn more about author Rosaria Silipo. The co-author of this column was Kathrin Melcher. Decision trees are a set of very popular supervised classification algorithms. They are very popular for a few reasons: They perform quite well on classification problems, the decisional path is relatively easy to interpret, and the algorithm to build […]