Last year, I wrote about my top four predictions for natural language processing (NLP) in 2021. As we approach 2022, a lot has happened in the world of artificial intelligence (AI) and machine learning, and NLP is behind a lot of that momentum. Growth has continued steadily, with 90% of tech leaders indicating that their NLP budgets have increased […]
Cumulocity, IoT, and Analytics
Today, all of our digital devices and sensors are interconnected in the Internet of Things. My company has built an extension for the KNIME Analytics Platform that enables you to connect to Software AG’s Cumulocity IoT platform so that you can use the more advanced analytics provided by KNIME on your Cumulocity data. The concept behind the Cumulocity platform […]
Transforming Analytics with a Modern Data Stack
There’s been a lot of talk about the modern data stack recently. Much of this focus is placed on the innovations around the movement, transformation, and governance of data as it relates to the shift from on-premise to cloud data warehouse-centric architectures. When it comes to the analytics layer – which sits on top of the modern […]
What Is SVM Classification Analysis and How Can It Benefit Business Analytics?
This article provides a brief explanation of the SVM classification method of analytics. What Is SVM Classification Analysis? SVM classification is based on the idea of finding a hyperplane that best divides a dataset into predefined classes. The goal is to choose a hyperplane with the greatest possible margin between the hyperplane and any point […]
Data vs. Disaster: 5 Ways Analytics Is Helping Tackle Climate Change
With the recent Intergovernmental Panel on Climate Change (IPPC) report painting a worrying picture of our battle against climate change, we will explore five ways analytics can help turn the tide. The UN Secretary-General, Antonio Guterres, called the report “a code red for humanity,” adding that “the alarm bells are deafening and evidence irrefutable.” U.S. President Joe […]
Is DataOps the Savior of Under-Pressure Analytics Teams?
DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. And many believe it could now finally be about to enter the mainstream. The number of data requests from the business keeps growing […]
Web Scraping for Science and Policy
Back in 2020, when the COVID-19 pandemic was in its earliest, scariest stages, researchers found that localized search trends could predict outbreaks more accurately and quickly than other measures. User-generated inputs on the internet provided access to useful and actionable insights. All of the predictions had been garnered from Google Trends and similar search-engine-based tools. However, there […]
4 Key Steps to Using Customer Data More Effectively
Customers now interact with brands in a variety of ways. They can shop in person at brick-and-mortar locations, talk with customer service representatives by phone, or browse, make purchases, and leave feedback online. Data is generated and collected at each one of these – and numerous other – touchpoints. But many companies do not know […]
Tutorial: Importing Bike Data from Google BigQuery
Click to learn more about author Emilio Silvestri. To match the increasing number of organizations turning to cloud repositories and services to attain top levels of scalability, security, and performance, our company provides connectors to a variety of cloud service providers. We recently published an article about KNIME on AWS, for example. Continuing with our series […]
What Is the Karl Pearson Correlation and How Is It Useful for Enterprise Analysis?
Click to learn more about Kartik Patel. This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel. A […]