So. Much. Data.

According to some estimates, 90 percent of the world’s data was created in the past two years, and growth is only accelerating. While storage costs have dropped as data volumes have ballooned, organizations are still running into trouble when they don’t optimize their data storage environments for factors such as cost and regulatory compliance.

By embracing solid data lifecycle management practices, you can overcome major challenges — such as cost, retrieval, disaster recovery and management — and keep up with the rapid pace of your data’s growth.

Education and government organizations are accustomed to strict regulations on data privacy and security. Organizations must stay compliant with regard to how and where they store data; who can access it, how and for what purposes; and how they preserve privacy in data analysis. But this year, leaders in all sectors are taking another look at their data — and, in some cases, deploying master data management solutions — to maintain compliance in remote operations.

One reason for the renewed attention to compliance is that many organizations are collecting new types of data. In schools and colleges, for example, videoconferencing platforms may capture video and audio, along with academic and personal information. Many organizations have managed remote work by expanding their use of cloud computing, which triggers encryption and security protocols for data at rest, in transit and in analysis.

Onsite, organizations are gathering data through technology solutions designed to facilitate safe interactions and maintain social distancing, such as thermal imaging for temperature screenings or video recordings and analytics for occupancy control and contact tracing. All this data must be properly managed and stored.

The promises of the CMDB have been around a long time. The Information Technology Infrastructure Library (ITIL) popularized the concept back in the 1980s and 1990s as a foundational element of IT service management.

The benefits are clear: having a trusted data source with a rich set of relational information provides organizations with decision-making capabilities to support more efficient operations, better user experiences and proactive mitigation of risk. The marketplace has no shortage of services, technologies and service management platforms that support and rely on the CMDB. A CMDB, and by extension, the capabilities it enables, continues to be an important goal for organizations, even more so now considering the impact of digital transformation.

2020 has been an incredible year for Microsoft and especially for Microsoft Teams. With many organizations quickly adopting new ways for employees to work from anywhere, Microsoft Teams has seen a meteoric rise in usage for meetings and collaboration. In fact, Microsoft recently announced that by the end of April 2020, usage of Microsoft Teams had surpassed 75 million active users, a massive increase from the 44 million users reported the previous month.

One of the greatest assets of Microsoft Teams is that the platform is growing and adding new capabilities on a seemingly weekly basis. As organizations look for new ways to use the platform and further integrate Teams into their business processes, they will soon discover solutions for customized workflows, business process automation, direct integrations with Microsoft and third-party applications that provide a single pane of glass experience, and even industry vertical-specific functionality for supported tenants.

To help organizations discover some of these capabilities, I compiled a list of four unique use cases that organizations might consider for the next stage in their Microsoft Teams journey.

For organizations to realize the potential value of AI, according to McKinsey, their AI strategy must align with their corporate strategy. They need a “clear data strategy that supports and enables AI,” and they must invest in staff and technical training to ensure they have the skills to implement AI at scale.

I keep those imperatives in mind when I work with business and IT leaders who wonder how AI might help their organizations. My advice to them: To get the most out of the technology — to make AI work for you — it pays to take a phased approach to implementation.

On its own, the baseline data captured on the Service Portal can be useful. The Portal logs can be found under Service Portal > Log Entries, and some basic reporting can be found under Service Portal > Usage Overview. While the baseline functionality is powerful, with a little configuration you can capture and display more usable information. This blog post will share some suggestions for how to glean more value from the baseline data.