Digital transformation may be the largest shift the IT industry will experience in a lifetime. It’s a term used throughout the tech industry and in various contexts. Gartner defines it as “…anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models,” which has massive implications for almost every organization.

Augmented analytics is trending. You’ve read about it, you’ve heard about it, you may even be in the process of acquiring systems running it. But what exactly is it, and how can you recognize it? As the guys building augmented analytics, we’re here to dispel some of the hype. On the highest level, augmented analytics is the machine learning processes geared at making data more accessible and actionable for both data scientists and business users.

Out-of-the-box integrations are great, and they help organizations see an immediate return on investment when the technologies they have invested in work together seamlessly. However, a little customization to these integrations can dramatically increase productivity and reduce mean time to resolution. Here we will address a couple of best practices and customizations that can take your PagerDuty and LogicMonitor integration to the next level.

GameDays were first coined by Amazon’s “Master of Disaster” Jesse Robbins when he created them intending to increase reliability by purposefully creating major failures on pre-planned dates. Game Days help facilitate the values of chaos engineering. Chaos engineering is the disciplined practice of injecting failure into healthy systems. With modern IT services becoming increasingly sophisticated continuously changing systems, outages are inevitable.

The digital era has brought vast cultural transformations – the sharing economy, microtransactions, lightning-fast communication and much more. Much of this has also resulted in considerable innovation in revenue-related areas. Companies from various industries today manage a large number of revenue streams from different revenue models.

Mortgage giant Fannie Mae shared their AIOps adoption journey from the stage at Moogsoft User Conference 2019