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Now that the initial effects of pandemic on work are waning, many employees previously hesitant to quit their jobs are now doing so, resulting in what has become known as the Great Resignation. As a result of fewer employees in general and more employees working remotely, companies have attempted to automate as many processes as possible and turned to robotic process automation (RPA). Source: How Robotic Process Automation Improves Employee Experience

Fortune estimated that the company lost almost $100 million in revenue during the outage. As individuals and businesses around the world clamored to understand what went wrong, many began to realize that if one of the largest platforms in the world could go down, the same could happen to their business. Source: The Lessons Remote Work Leaders Should Learn From Facebook’s Service Outage

Internal communications has proved its worth during the pandemic, and many (but sadly not all) comms teams are riding high. Where it’s possible, teams are now turning their attention to the road ahead, a road filled with an unprecedented degree of comms complexity. With the arrival of Microsoft 365, Workplace by Facebook, Slack and a whole crop of employee apps, we now have more internal comms channels not less. What’s needed is a clear way forward. Source: A Digital Maturity Model for Internal Communications

Small Data Is Not New According to Bryan Philips Cupertino, Calif.-based In Motion head of marketing, small data is the opposite of big data. It is a term that describes data sets with fewer than 1,000 rows or columns. The term was coined in 2011 by researchers at IBM to describe datasets that are too small for traditional statistical methods. In contrast to big data, small datasets can be analyzed using estimation. Examples of small datasets include customer transactions, social media posts, and individual genome sequences. Source: Why It Might Be Time To Start Looking at Small Data

As mentioned in the introductory piece of this series, three important threads run through every organization: technology, policies and activities. How these threads are woven together create the cultural fabric that is the organization we experience, and how we shape and weave these threads as the organization transforms is what separates success from mediocrity or failure. In turn, transparency within an organization, as well as for any digital transformation effort, is a critical component to weaving those threads together in a way that leads to success. Source: Saying ‘Transparency Is Good’ Is Not Enough: It Must Be Ingrained in Your Policies, Culture and Technologies

In the enterprise, the target deployment of AI is now likely to include customers, business partners, business executives, salespeople, assembly line workers, application developers and IT operations professionals. As AI reaches a larger set of employees and partners, it requires new enterprise roles to deliver it to a wider audience. Source: Why Artificial Intelligence May Not Offer The Business Value You Think

When I consult with clients on developing a digital policy program, we almost always start by looking inward. We talk about their strategic goals, whether their current content strategy supports those goals, whether they’re exposing the business to unnecessary risks, whether their employees have the skills and resources they need, whether their IT infrastructure is sufficient, what security protocols are in place, how they maintain compliance with a hairball of laws and regulations, etc. Source: Do Your Digital Policies Include the Voice of the Customer?

The 2021 Gartner CIO Agenda (behind paywall) survey gathered data from 1,877 CIO respondents in 74 countries and all major industries, representing approximately $4.7 trillion in revenue/public-sector budgets and $85 billion in IT spending. The resulting report argues the support for remote work that the COVID-19 pandemic brought will be one of the biggest wins. CIOs now have the attention of the CEO, and they have convinced senior business leaders of the need to modernize technology. Source: Practical Tips for Digital Transformation

Data management, simply put, is the process by which an organization stores and distributes data around the digital workplace as well as figuring out the best and most compliant way to gather it. With the digital workplace built around applications that run off data or that enable workers to access data, data management and associated technologies are now one of the most important assets in an organization. Source: Data Management Is What Makes the Digital Workplace Work

As one of the leading trends in technology, Artificial Intelligence (AI) continues to gain in popularity for marketers and sales professionals, and has grown to be an essential tool for brands that wish to provide a hyper-personalized, exceptional customer experience. The availability of AI-enhanced customer relationship management (CRM) and customer data platform (CDP) software has brought AI to the enterprise without the high costs that were previously associated with the technology. Source: 4 Ways AI is Driving Better Customer Experience