9 Reasons to Make the Move to a Cloud Contact Center

whitePaper | February 27, 2020

For the new digital customer, user experience trumps all. Rising customer expectations are driving businesses to rapidly transform and innovate through intelligent applications – built in and for the cloud – that are always available with real-time updates and insights. In order to meet these demands, organizations are embracing digital and IT transformation initiatives, enabled by hybrid cloud platforms.

whitePaper | June 15, 2022

According to IDC, the Dedicated Cloud Infrastructure-as-aService (DCIaaS) market will grow revenues by more than 100x over the next five years. In another IDC survey, 61% of enterprise respondents indicated that they have migrated workloads to dedicated cloud services or onpremises infrastructure.

whitePaper | September 13, 2022

With the cloud becoming the optimal choice for progressive enterprises, there’s always doubt about what a hybrid cloud will prove to be. In this playbook, we decode the fine details about managing a hybrid cloud and how VMware Aria cloud management makes it simpler, which we first shared as a blog series. From migrating to the cloud to seamlessly extending your data center and modernizing apps, make the most of this unique solution.

whitePaper | February 26, 2020

The 3GPP-based global cellular networks are connecting things-to-things and things-to-persons across borders. Many industries are experiencing the benefits ofcellular IoT, for example in the consumer electronics, automotive, railway, mining, utilities,healthcare, agriculture, manufacturing and transportation sectors. There are over 1 billion cellular IoT connections today in 2020, and Ericsson forecasts around 5 billion connections by 2025.With 5G in the market, almost every industry is exploring the potential of cellular connectivity for fundamentally transforming businesses. In some regions, governments are encouraging adoption of IoT via direct and indirect incentives to promote sustainability,innovation and growth.

whitePaper | November 26, 2019

The buzz surrounding artificial intelligence (AI) is hard to ignore. Huge data sets and large amounts of compute are the perfect match for deep learning, astonishing us with algorithms that have beaten grandmasters at games of chess and Go. Today, with access to no more than a web browser, the benefits enabled by breakthroughs in image and speech recognition not to mention machine translation and more are just a few clicks away. There’s the growth of the cloud to consider too. We’re depositing more and more of our data on virtual drives that make it easier to share, back-up and transfer information providing us with new opportunities both in the office and at home. But what do machine learning and cloud computing mean for scientific research? How can these tools help researchers to manage and navigate the vast datasets generated by increasingly sophisticated detectors and experiments? At big science facilities, data streams that used to be megabits per second are now hundreds of times faster, sometimes even more, as detector upgrades come online and new instruments are installed. That’s a lot of data to analyse and verify.

whitePaper | April 30, 2022

While Cloud services offer flexibility, scalability and economies of scale, there have beencommensurate concerns about security. As more data moves from centrally located server storage to the Cloud, the potential for personal and private data to be compromised will increase.