Next week is the release of the 2020 Gartner Magic Quadrant for Content Services Platforms (CSP). In the world of enterprise technology solutions, businesses rely on analyst reports like the Magic Quadrant to help guide their strategy. Recognition of vendors by respected analysts like Gartner are a central tool for organizations that are reviewing cornerstone technology — in this case Content Services Platforms.
When we think of data breaches, we think of nefarious hackers located in a dingy basement halfway around the world who want little more than to extort money. While some cybersecurity events do fall under that umbrella, an incredible 40% of breaches still occur the exact same way: as a direct result of the actions of your employees.
At its core, the concept behind the Four Eyes principle is a simple one — it’s simply a matter of getting two different people to approve some type of action before it can be taken. You’ve no doubt heard the old saying of “two heads are better than one.” This is simply the same concept, applied to the larger world of business.
Let’s track the timeline of responses over the last twenty years… IDC reports that workers who manage, create, or edit documents for a company were spending up to 2.5 hours per day searching for what they needed.
While it’s absolutely true that no two digital transformations are created equally, maybe the most important factor for digital transformation at scale is that it begins and ends as true company-wide efforts. Without a clear understanding of the importance of the project — along with buy-in from any and all key stakeholders along the way — your efforts will be doomed to failure before they’ve even had a chance to really get going.
Automation in the workplace is when computers perform the types of tasks that would normally require human intervention, thus freeing up the valuable time of living, breathing employees so that they can focus on those matters that truly need them. These days, modern-day automation systems leverage artificial intelligence and machine learning to perform everything from speech recognition to translation between languages to tasks that require visual perception and much, much more.
