Data Analytics Platform Data analysis and anomaly detection for CSPs

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

whitePaper | December 29, 2022

At ServiceNow, protecting customer data is a top priority. Different customers have different use cases, so we provide a range of encryption options for maximum security and flexibility. This document provides an overview of these options and is broken into three sections:

whitePaper | September 1, 2022

Artificial Intelligence (AI) is not a recently discovered field. Since the beginning of the computer science discipline, in the late 1950s, AI has drawn a lot of attention in the international scientific community and since then it has represented a field of study which has triggered diverse and numerous research activities.

whitePaper | December 1, 2022

We live in an era of connection and the consumer marketplace is no exception. Businesses are expected to not just meet the needs of customers, but anticipate and exceed them.

whitePaper | September 7, 2022

Today, organizations are increasingly seeking technologies that simplify the deployment of their application workloads in a multi-cloud design to get lower TCO, build best-of-breed solutions, and avoid vendor lock-in. Whether to optimize the costs of running and managing private cloud or to enable developer velocity to efficiently build the modern, intelligent applications of tomorrow, the benefits of multi-cloud offerings are an attractive proposition for enterprises.

whitePaper | May 26, 2022

Clinical trials are becoming more complex and a confluence of forces—including the ongoing COVID-19 pandemic, greater emphasis on patient experience, increasing protocol complexity, and precise value differentiation—is accelerating this complexity. Trials have evolved to include an ever-expanding array of data sources, increased data volume and precision, decentralized clinical trials (DCT), and adaptive designs.