So you want to start using AI at your company. Now what? First, evaluate if it has an appropriate place in your company. Many organizations hire a data scientist or an entire AI team with an anticipation of a fast, massive, magical gain. Even though by now most people realize that these expectations are naive, […]
When It Comes to Data Quality, Businesses Get Out What They Put In
Imagine you’ve invited your boss over for a dinner party to try to show off your culinary skills (and perhaps get a promotion). The stakes are high, so you search the web and find the most revered chicken parmesan recipe around. At the grocery store, it is immediately clear that some ingredients are much more […]
How to Maximize IT Talent and Become a Data-Driven Organization
Organizations across the world are striving to be data-driven and use data more effectively to inform decision-making at every level of the business. However, according to the 2021 Big Data and AI Executive Survey from NewVantage Partners, only 40% of companies today manage their data as if it were a business asset. In other words, ambition is […]
Integrated Deployment – Deploying an AutoML Application with Guided Analytics
Welcome to our collection of articles on the topic of integrated deployment, where we focus on solving the challenges around productionizing Data Science. So far, in this collection we have introduced the topic of integrated deployment, discussed the topics of continuous deployment and automated machine learning, and presented the autoML verified component. In today’s article, we would like to […]
5 Ways Data Can Help Save the Planet
A sustainable and equitable world is the holy grail – a world in which planet comes before profit; where equality, diversity, and inclusion are a prerequisite; and where ethics are baked into every aspect of our society and business. While this may seem like decades away from becoming a reality, there is hope. If the UN […]
How Low-Code Is Bridging the Gap Between Data Scientists and Businesses
Coding is a foreign language for many high-level and C-suite executives who lead corporations today. However, it’s hard to find anyone who doesn’t understand the importance of technology and how our future will hinge on mastering it. Although many computer scientists argue in favor of low-code software for data scientists, there is an argument to […]
Active Learning and Its Benefits to Machine Learning Models
Supervised machine learning (ML) models such as classification models that are trained to predict the outcome of an instance (for example, approve or deny loan) are required to maintain high accuracy in production environment – making sure that there are more true positives, true negatives and fewer false positives, false negatives. In order to maintain optimal […]
Make the Journey to the Data Intelligence Promised Land, Securely
To take your organizations to the next level, C-level executives are faced with the compelling need to make sense of your data, generate data intelligence, and create a higher-level understanding of your customers and your business. The only way to get there is to combine your distributed data sets into a consolidated, holistic view of […]
10 Actionable Steps to Create a Data-Driven Culture
By capitalizing on your data assets, do you want to acquire fruitful outcomes and actionable insights to make more informed and rational business decisions? To make your business a purely data-driven entity with a highly streamlined and targeted approach, you must embrace the change dictated by the valuable insights from the correct data analysis. By […]
Five Ways Decision Intelligence Helps Accelerate Data-Driven Decision-Making
With 2022 well underway, many businesses are deploying new data-driven strategies and models to promote growth, accelerate digital transformation, and increase operational efficiency. However, to maximize success, enterprise leaders must incorporate decision intelligence and data-driven insights into their decision-making processes. Decision intelligence is an approach that can help ease the burden of data analysis and […]