Click here to learn more about Amit Levi. In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […]
The Three Pillars of Trusted AI
Click to learn more about author Jett Oristaglio. As AI becomes ubiquitous across dozens of industries, the initial hype of new technology is beginning to be replaced by the challenge of building trustworthy AI systems. We’ve all heard the headlines: Amazon’s AI hiring scandal, IBM Watson’s $62 million failure in oncology, the now-infamous COMPAS recidivism […]
ETL vs. Data Preparation
Extract, Transform, and Load (ETL) technologies, managed exclusively by IT, have until recently been the primary tool used to combine data from multiple sources and thus provide the ability to drive important business decision making for organizations. But, with the advent of self-service data preparation, business users and subject matter experts (SMEs) can find those […]
Best Practices for Supply Chain Analytics in the Post-COVID-19 Era
Click to learn more about author Ashok Sharma. There are few crises in world history that have affected the supply chain like COVID-19. The pandemic has caused unprecedented stress and brought an insane level of scrutiny. Business leaders need to think differently and take appropriate measures to streamline their supply chain operations, using data as their […]
Integrated Deployment: Continuous Deployment
Click to learn more about author Paolo Tamagnini. In this second article of our integrated deployment blog series – where we focus on solving the challenges around productionizing Data Science – we look at the model part of the process. In the previous article we covered a simple integrated deployment use case. We first looked at an existing […]
What Is Spearman’s Rank Correlation and How Is It Useful for Business Analysis?
Click to learn more about author Kartik Patel. This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. What Is Spearman’s Rank Correlation? 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 […]
Slides: How AI Makes Analytics More Human
Slides: How AI Makes Analytics More Human from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar People think AI makes analytics less human, replacing human decision making. But the truth is, AI actually makes analytics more human. Augmented analytics are helping organizations finally […]
Webinar: How AI Makes Analytics More Human
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar People think AI makes analytics less human, replacing human decision making. But the truth is, AI actually makes analytics more human. Augmented analytics are helping organizations finally break through the low levels of adoption and limitations typical of […]
Fundamentals of Self-Service Business Intelligence
It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]
How to Ensure Your New Cloud Data Lake Is Secure
Click to learn more about author Brian Lachance. Enterprises migrating on-prem data environments to the cloud in pursuit of more robust, flexible, and integrated analytics and AI/ML capabilities are fueling a surge in cloud data lake implementations. The rationale is justified: Compared with legacy on-prem infrastructure, cloud data lakes – if implemented correctly – promise […]