There’s a lot of hype out there about artificial intelligence (AI) and how it’s revolutionizing this or transforming that. But in this timely remix of a previously published post, AI expert Joanna Bryson (@j2bryson) calls out AI hyperbole and helps us cut through the smoke and mirrors on: Note: Bryson is Professor of Ethics and Technology at the Hertie School of Governance in Berlin where she educates future technologists and policymakers on digital inclusion and AI governance.

After nearly a year of dealing with COVID-19, organizations like yours have learned a lot of lessons. Lessons you didn’t ask for, and maybe never wanted to learn. But important lessons that help you protect employees as you get back to onsite work, whenever that may be. Read on for three key takeaways from companies handling COVID-19 cases in the workplace, from the best way to manage contact tracing to the importance of establishing a single response hub.

As young children, our parents do their best to protect us from harm. We’re taught not to play in the road or speak with strangers. As we grow and our environment changes, these foundational lessons guide us even when we are old enough to know better than to touch a hot stove.

At Appian, we are driven to make it faster and easier for you to build applications that help you run your business more efficiently. We obsess over finding new ways to empower you to get more value from your systems and data to maximize your resources and improve your business results. That’s why we are thrilled to be designated a Gartner Peer Insights “Customers’ Choice” for Enterprise Low-Code Application Platforms (LCAP) for 2021.

Technology drives change but change has become particularly frenetic in the last decade. This trend, says Fintech expert Chris Skinner, is partly inspired by the global financial crisis, but equally enabled by the digital revolution. “I am a technologist,” says Skinner “and have spent all of my career looking at how technology might change the future of finance and financial services.

Insurance legacy systems are often seen as one of the biggest barriers to speeding up innovation and digitalization. And the COVID-19 pandemic has made even clearer how important it is to be able to respond quickly to changing conditions, and a less physical world. So how can insurers make the most of their legacy systems and avoid creating new ones in the process?

We live in a world where FinTech automation is forcing traditional banks to move faster and deliver better customer experiences. This new world demands a completely different business model from traditional financial institutions.

It’s amazing how much we can get done by automating business processes. Whether it’s augmenting human labor, reducing risks, or making customers happy, when we do automation right, we can make big things happen in any organization. Perhaps this is why: In other words, falling behind the automation curve could be lethal. Coming out on top means automating as if the future of your business depended on it.

If 2020 taught businesses anything, it’s that being able to turn on a dime and change everything about how you operate isn’t a “nice to have” – it’s a must. The demand for low-code technologies and automation was already climbing, but the COVID-19 pandemic accelerated the need to re-orchestrate broken processes and reduce manual tasks.

The mainstreaming of low-code development has changed the business automation landscape. And the blistering pace of this fast-moving trend—of combining and scaling artificial intelligence, and low-code—is at the heart of the hyperautomation movement. So says Neil Ward-Dutton in his chapter of the recently published HYPERAUTOMATION, a collection of expert essays on low-code development and the future of business automation.