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Low Code

Generative AI + Low-code: 4 Things to Know

Ancient Greek mathematician Archimedes once said, “Give me a lever long enough and a fulcrum on which to place it, and I shall move the world.” He was right. When you intelligently use the right tools, you can move worlds and accomplish what on the surface seems impossible. Right now, developers are doing the impossible—building applications in record time that truly transform industries, improve business processes, and unlock radical productivity.

What Bank Stress Testing Can and Can't Do

Leaders are taking a closer look at bank stress testing in the wake of recent bank failures. The significant impact of these collapses on the financial system, along with the government's extensive measures to prevent additional bank failures, is increasing the sense of urgency around enhanced regulatory supervision.

Back-end application hosting made easy

For the day-to-day developer, deployment and hosting, plus the subsequent management of solutions in production, is a considerable challenge, especially if it’s outside their immediate skill set. Hosting applications can be complex. Besides the obvious challenges of scalability, security, and reliability (up-time), you must consider where your application will be hosted, how you plan to deploy it, how to monitor it, and more.

Regulatory Compliance in Banking: 5 Steps to Take Now

The first quarter of 2023 was quite a rollercoaster ride for the banking industry, marked by not one but two of the largest bank failures in U.S. history. As a result, regional banks took a hit as well, losing nearly $200 billion in deposits in just one week, according to the Federal Reserve. Because regional and smaller banks in the U.S. make up over a third of total bank lending, any pullback in credit provisioning could undermine financial stability and growth. The bottom line?

3 Data Silo Examples and How to Break Them Down

“Data is knowledge, knowledge is power, and bad data equals bad decisions,” says Appian Senior Solutions Consultant Ben Crawley. We’ve all felt the sting of poorly integrated solutions, hard-to-access information, and sometimes, inaccurate data. This “bad data” is often the result of information that’s spread across different systems, creating data accuracy challenges and preventing you from having a single source of truth for your organization's information.

Thoughts on Low Code and No Code Automation Tools | Prathamesh | #lowcode #nocode #automationtesting

In this insightful video, Prathamesh shares his expert perspective on the topic of low code and no code tools in automation testing. With his extensive knowledge and experience in the field, Prathamesh discusses the advantages, challenges, and considerations when using these tools for test automation.

Workflow Optimization: 3 Examples and Best Practices

Think about a time when insufficient information or inaccessible data slowed you down from completing an assignment. Or maybe a time when your work required a lot of manual data entry that caused human error and rework, taking time away from higher value tasks. These moments of process frustration and inefficiency are exactly what workflow optimization can help with. Workflow optimization describes the strategies and measures taken to improve the flow of tasks and make processes more efficient.

Workflow Orchestration: Key Facts and 5 Best Practices

If you think workflow orchestration sounds like tech jargon, check out this simple explanation and consider practical advice for how to apply it to your business processes. Let’s start with the basics: what is workflow orchestration? Put simply, workflow orchestration is the end-to-end management of people, digital workers, systems, and data in a process.

3 Process Mining Success Stories and 6 Common Use Cases

Process mining is a trusted tool for continuous improvement. It helps you understand your business processes as they actually are, shows you all of the variants and deviations, and provides suggested explanations for why process problems are occurring. Knowing how process mining works is one thing—putting it into practice is another. How do you know what makes a process a good candidate for mining? And how can you build a business case that a process needs to be mined?