2023 is looking likely to be a breakout year for artificial intelligence (AI) and machine learning (ML). Some industry-watchers predict that recent breakthroughs in AI might lead to a new revolution in society akin to the industrial revolution, the invention of the internet, or the advent of the smartphone. Yet, 2023 doesn’t mark the invention of AI—just the year it went viral thanks to OpenAI’s ChatGPT technology.
So, did you invest in RPA? Did you buy into the dream of automation? How's it going? Are your bots running at 100% reliability and delivering amazing ROI? Or are you fighting bot breakdowns and struggling to justify the expense of costly RPA bots with poor reliability?
When was the last time you had all the data you needed to make a business decision? Hopefully, it was today. But if it wasn’t, you’re not alone. It’s increasingly difficult for people inside enterprise organizations to harness the power of their data. Even though good decisions are nearly impossible without good data, getting data into the right hands at the right time is easier said than done.
In today's fast-paced and increasingly unpredictable business environment, it's more important than ever for you to deliver value with fewer resources. Modern enterprise process automation platforms are the key to connecting your people, processes, and data and unlocking operational efficiencies.
With the new year well underway, you might be feeling like all the new initiatives, lists of priorities, and looming project deadlines are endless—and you’re probably wondering how you’ll get it all done. Appian is here to help.
The philosophy behind continuous improvement is simple: incremental and ongoing changes to your organization result in more efficient business processes, better products, and superior customer experiences. The pursuit of excellence is familiar to many of us in our daily work, and your organization may already have a culture, goal, or process management method designed to improve performance and facilitate operational excellence.
Today, data is the lifeblood of every organization. Without it, you’re left without key insights into business processes, consumers, employees, and the overall health of your entire organization. And here’s the scariest part: most organizations are on life support due to their inability to properly manage their data and turn it into actionable insights. Data fabric technology can help in a significant way, which is why it’s been getting so much buzz recently.
Data fabrics are getting a lot of attention lately, and for good reason. But, for any topic with a lot of hype, there also tends to be a lot of confusion. If you are still trying to fully grasp where the concept of a data fabric architecture fits amongst all of the warehouses, lakes, lakehouses, and meshes of the data engineering world, let's set the record straight. What is a data fabric? A data fabric is a toolset that connects data across disparate sources to create a unified data model.
Artificial intelligence (AI) and machine learning (ML) bring significant efficiency gains to organizations and should play critical roles in any digital transformation efforts. One major use case for these technologies is AI document processing, also known as intelligent document processing (IDP). Organizations amass a large number of business documents—from invoices in billing departments to medical coding documents at hospitals.
Why do experiences matter? In turbulent economic times, organizations that can't offer high-quality digital products and services with excellent experiences cannot attract and retain customers and employees. Customers today are seeking more than just products or services. They are looking for memorable experiences that create a lasting impact and emotional connection with the organizations they interact with. And they are more than willing to pay more to have those experiences.
