FEATURED CONTENT

Women’s Equality Day: Reflecting On What We’ve Accomplished And Where We’re Going

In honor of National Women’s Equality Day, we spoke to several women in the tech industry to learn how they’re working to level the playing field and breaking the glass ceiling.

• Why All-In-One Is Fast Becoming The Standard In CRM
• Addressing Preference Management With Channel Granularity
• Dajon Data Management Switches To Scanners From Alaris

• Making The Jump From Manual To Automated Processes

  Many businesses scan their organizations and wonder which processes among many are the most appealing candidates for automation. The answer may surprise you. While you might believe the big wins are in fixing inefficient processes, the most immediate gains actually come from applying robotic process automation and intelligent automation to prioritized, well-defined and well-executed processes.

• When It Comes To Disaster Recovery And Business Continuity, You Don’t Get A Number Of ‘Takes’ To Get It Right

  After a natural disaster, the primary focus is rightly on health, economy and the environment. Given recent events, it is clear that heightened attention on Disaster Recovery (DR) must be paid by those in the M&E industry. While the broader scale of DR planning includes facilities, power, cooling, communications and people, data backup for recovery remains key to business continuity. To ensure business data is safe and recoverable in the face of a natural disaster, it’s important to invest in the right strategy, protection architecture and data storage solution for the business. Here’s some actionable advice that organizations of all sizes across M&E can take to better protect themselves in the face of a natural disaster.

• Delivering On The Promise Of AI: Real-Life Benefits For Content Management

  Enterprise leaders have long awaited the potential information management benefits of artificial intelligence (AI). Machine learning, natural language processing, and other AI-based technologies are already helping companies by automating the classification of files and simplifying the way employees engage with content. But the real promise of AI goes beyond just helping organizations classify content during the capture or ingestion process – it lies somewhere in the “digital landfill” that exists within modern organizations.