Regardless of how clever the machine or how brilliant the algorithm, the success of intelligence-based solutions is intrinsically tied to the quality of the data that goes in. That’s why, aside from its people, data is the most important thing an organization owns. Data must be the first stop on the journey to implementing artificial […]
Unlocking the Value of Hidden, Unstructured Data
Data is the fuel of the fourth industrial revolution. Data is the lifeblood of the enterprise. Data powers the information age. We’ve heard these statements so many times that they’ve almost lost their meaning. But what if I were to tell you that you are only using 10 to 20% of this fuel to power […]
How Data Automation Is Reshaping Pharma Regulatory Publishing
Pharmaceutical regulators are facing ever-evolving, complex, and stringent requirements for the regulatory approval of new and existing products on the market. What’s more, as technology changes our ability to capture data from more sources, the volume of data in the life sciences sphere is growing exponentially, creating a challenging data analytics paradigm. The key is how to […]
How to Start Using AI at Your Company
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 […]