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Embracing Data and Emerging Technologies for Quality Management Excellence


In today’s rapidly evolving business landscape, the role of quality management (QM) is undergoing a significant transformation. No longer just a compliance checkbox, QM is emerging as a strategic asset that can drive continuous improvement and operational excellence. This shift is largely propelled by the adoption of intelligent technologies and the strategic use of data, […]

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Author: Anthony Hudson

7 Ways AI Will Transform Data Storage


The rapid adoption of artificial intelligence and machine learning (AI/ML) over the past year has transformed just about everything – ushering in a new era of innovation and growth the world has never seen. The same goes for data storage, where the technologies’ impact will be transformative, enabling greater business agility that companies need to […]

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Author: Scott Hamilton

Machine Learning Techniques for Application Mapping


Application mapping, also known as application topology mapping, is a process that involves identifying and documenting the functional relationships between software applications within an organization. It provides a detailed view of how different applications interact, depend on each other, and contribute to the business processes. The concept of application mapping is not new, but its […]

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Author: Gilad David Maayan

Forget p(Doom): Here’s How to Hold AI Accountable by Creating an Inference Economy


AI’s existential risk is no laughing matter: As much as the tech world tries to make sense of it all, nobody definitively knows whether the dystopian “control the world” hype is legit or just sci-fi. Before we even cross that bridge (real or not), however, we need to face a more immediate problem. We’re already […]

The post Forget p(Doom): Here’s How to Hold AI Accountable by Creating an Inference Economy appeared first on DATAVERSITY.


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Author: Sishir Varghese

Machine Learning: Challenges and Opportunities for Modern Data Executives


The transformational promise of artificial intelligence (AI) and machine learning (ML) for enterprises has fueled enormous excitement and massive investment by data executives. One estimate predicts that AI’s contribution to the global economy could reach an extraordinary $15.7 trillion by 2030. That’s more than the current combined economic output of China and India. Yet, there seems […]

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Author: Nina Zumel

Unleashing the Power of AI and ML in Data


In today’s insight-informed world, businesses of all sizes need to be able to access and analyze their data in order to make informed decisions. However, data is often siloed in different systems and difficult to access, making it challenging for businesses to get the insights they need. The demand for help to streamline these operations […]

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Author: Justin Kearney

Strong AI/ML Must Be Founded on a Strong Data Strategy


The list of use cases powered by artificial intelligence (AI) and machine learning (ML) technologies is growing exponentially across nearly every business sector. Enterprises of all kinds are leveraging these advanced capabilities and scaling them through automation to improve business process management, sharpen organizational strategies, and reap more analytical and predictive insights from data for […]

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Author: Adam Glaser

Overcome Data Parsing Obstacles with the Power of Machine Learning


Web scraping is used for, among other things, getting the vast volumes of publicly available data needed for training algorithms for machine learning (ML). The relationship between data scraping and ML is, however, symbiotic rather than one-sided. On the other side is ML’s ability to improve the fundamental procedures underlying web data gathering, making it […]

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Author: Juras Juršėnas

What Is a Feature Store in Machine Learning?


A feature store is a centralized platform for managing and serving the features used in machine learning (ML) models. A feature is an individual measurable property or characteristic of data that is used as input to an ML model. In order to build effective ML models, it is critical to have high-quality, well-engineered features that […]

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Author: Gilad David Maayan

Data Explainability: The Counterpart to Model Explainability


Today, AI and ML are everywhere. Whether it’s everyone playing with ChatGPT (the fastest adopted app in history) or a recent proposal to add a fourth color to traffic lights to make the transition to self-driving cars safer, AI has thoroughly saturated our lives. While AI may seem more accessible than ever, the complexity of AI models has increased exponentially.  AI models fall […]

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Author: Sanjay Pichaiah

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