It all begins with data… From providing patients with the highest quality of care, to accelerating research, improving clinical trials and optimizing efficiency, data is the foundation needed to drive the healthcare and life sciences industry forward.
Author: etechinteladmin
The word migration can be off-putting. Moving to a public cloud is often thought of as a long and painful process full of late nights, downtime, and overworked developers. This puts a lot of pressure on infrastructure owners, who are faced with the challenge of modernizing the IT landscape, reducing their costs, and helping teams innovate.
In 2020, virtually all industries, from retail and manufacturing to finance and hospitality, shifted how they do business, with a focus on digital maturity coming into sharp relief in the wake of COVID-19. The following report describes how digital transformation initiatives evolved throughout the year, as well as where they’re headed in the years to come.
This document describes the experiences of businesses that chose to redeploy self-managed database servers from their data centers or cloud environments to Cloud SQL, Google Cloud’s relational database service for MySQL, PostgreSQL, and SQL Server. Doing so enabled them to reduce their operational costs on the premises while taking advantage of impactful automation and the advanced expertise of cloud service engineers who manage databases in the cloud environment.
Customers are receiving data that’s more organized, useful, and accessible through Google Cloud’s streaming analytics solutions that make data ingestion, processing, and analyzing data actionable. Read this ebook to learn about how organizations like Renault, The Home Depot, and the Golden State Warriors are able to analyze vast quantities of data on business performance in real-time.
Learn how you can discover valuable data at scale by leveraging four components: Data acquisition, analytics, and discovery: Manage various datasets with minimal extract, transform, and load (ETL) activity Burst computing: Employ virtual machines (VMs) to reduce overhead, time, and cost with security and reliability ML and model deployment: Build and operationalize ML models
From the trading pits of the past to the cloud of today, technology has always played a key role in driving ongoing growth and democratization of the financial markets. As the capital markets industry sees an increasing number of investable assets and significant growth in global liquidity, the exchanges that serve these markets need to ensure greater resiliency, accessibility, performance and security going forward.
To drive true digital and business transformation, a BI platform must enable innovative ways for companies to make better decisions quickly and with low human intervention. With BI critical to the vast majority of organizations, the planning, deployment, and leverage of a modern BI solution is essential to extract benefits from company data. In this white paper, ESG discusses the challenges of selecting the right modern BI solution, how to evaluate and evolve the platform, and empower employees for greatest value.
In this thought leadership brief, you will learn: How data and AI are creating new value across the manufacturing value chain What are the strategic areas of improvement for successful large-scale adoption How removing technological barriers empowers manufacturing engineers
Discover new ways to harness your data for real-time insights and actions that can: Improve customer acquisition and retention Drive better merchandising and assortment decisions Run operations and inventory more efficiently