Leadership is contextual. Successful leaders set agendas and choose strategies in accordance with opportunities and risks posed by the external environment. The ability of leaders to understand and interpret the vagaries of the moment for their organisations is crucial in today’s rapidly changing world. 2020 brought that point home all too emphatically.
When COVID-19 hit, organizations using traditional analytics techniques that rely heavily on large amounts of historical data realized one important thing: Many of these models are no longer relevant. Essentially, the pandemic changed everything, rendering a lot of data useless.
At the height of the COVID-19 pandemic, many industrial companies turned to cloud technology to increase their productivity, agility, and resilience, and praised it as
Moderna CEO Stéphane Bancel made the decision to build his mRNA research-and-development platform on public cloud to create what he calls “software for life.” He used the cloud as a means to accelerate therapeutic discovery and development.
There might be a few organizations that know exactly how many servers they’ll require to handle their database needs for any given period of time, but for most large enterprises whose success depends upon flows of multiple terabytes of data in often unpredictable surges, this is rarely the case
More customers than ever are shopping from home in the current health environment, and companies are responding by rapidly deploying cloud-based e-commerce solutions. Azure is helping these companies meet their customers’ needs with robust, customizable, and scalable e-commerce solutions that process transactions quickly and securely.
The pandemic has accelerated enterprises’ digital transformation investments , notably their efforts to use AI and the cloud to meet rising customer expectations. This means, among other things, that virtual agents and other interactive bots should be part of an organization’s customer service toolset.To provide the excellent experiences that customers demand, it’s not an option for enterprises to continue to rely on live agents, which are hard to scale, or outdated contact management systems with rigidly scripted flows, which are as likely to frustrate customers as to answer their questions.
The COVID-19 pandemic came as a wakeup call for organizations to accelerate digital transformation. Enterprises acknowledged the need to digitally enable rapid innovation in developing and launching new business models and products, optimizing business processes, and responding to new requirements of both external and internal stakeholders.
In 2021, each month we will be releasing a monthly blog covering the webinar of the month for the low-code application development (LCAD) on Azure solution. LCAD on Azure is a new solution to demonstrate the robust development capabilities of integrating low-code Microsoft Power Apps and the Azure products you may be familiar with.
Spreadsheets are everywhere! They are one of the most useful productivity tools available. They make organizing, calculating, and presenting data a breeze. Google Sheets is the spreadsheet application included in Google Workspace , which has over 2 billion users .
The first article in this series provided an overview of a data lake solution architecture using Data Fusion for data integration and Cloud Composer for orchestration. In this article, I will provide an overview of the detailed solution design based on that architecture.
Business analysts working with larger and larger data sets are finding traditional BI methods can’t keep up with their need for speed. BigQuery BI Engine is designed to meet this need by accelerating the most popular dashboards and reports that connect to BigQuery.
Data driven enterprises are transforming their businesses by migrating their on-prem data lakes and data warehouses to the cloud so they can enable new analytics at scale. As every enterprise looks to migrate, it’s important that IT leaders don’t forget about a key data stakeholder, the data scientist.
In January 2021, our Workflows orchestration and automation service reached General Availability. At the same time, we updated Workflows with a preview of Connectors , which provide seamless integration with other Google Cloud products. Workflows plus Connectors are a great way to design common architecture patterns that can help you build advanced serverless applications.
