#lowcodeautomation

The extraordinary promise of artificial intelligence is driving a profound transformation in the world of business technology. AI’s capacity to analyze data, automate tasks and augment human decision-making stands as a beacon of opportunity for organizations seeking growth, efficiency and innovation. Generative AI, specifically, heralds a potential productivity revolution for knowledge workers and IT teams.

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?

Artificial intelligence (AI) has reached a tipping point in the public consciousness. Much of this has been driven by technology developments related to AI tools, including ChatGPT. However, for enterprises shaping forward-looking AI strategy, a critical part of the conversation that needs to be addressed is the issue of private AI vs public AI. It’s important to understand the data privacy and regulatory implications of each approach, especially for public organisations or private sector companies in heavily regulated industries. Let’s explore both approaches to better understand the potential impact of each...

The Appian Platform for process automation is your gateway to the productivity revolution with an architecture powered by AI. Discover the next-generation, AI-powered platform for process automation.

Right now, developers are doing the impossible - building applications in record time that truly transform industries, improve business processes, and unlock radical productivity. And they’re doing it with two tools: Generative artificial intelligence (AI) and low-code. Combining generative AI and low-code enables developers to build powerful applications at a whole new pace. This makes these employees more valuable and productive than ever, as well as reducing both time and costs in the development process.

There's no question that this year, we're seeing dramatic upheavals in the data and analytics space. AI, of course, is the subject du jour, but any discussion of AI and its potential must, by necessity, involve the data teams that provide the information that makes AI successful. Here are what industry leaders and experts see as the most important technologies shaping the growth of data-driven enterprises.

The French Ligue Nationale de Rugby (LNR) is using the Appian Platform to optimize game-day and tournament organizational processes. 50% reduction in game-day hotline calls, 24% reduction in legal workload from management and compliance app delivered in less than five months.

Case management is a specific type of knowledge work in which processes are less structured, interactions are more ad hoc, and events and milestones are difficult to predict. It is often a core operational element of an organization. Getting the building blocks of case management right is critical to helping organizations deliver a continuum of products and services to customers, stakeholders, and constituents.

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. A wide variety of Industries have been using AI for decades, which brings up the question: What are some common AI/ML use cases? What use cases should business and IT leaders track, as they shape a holistic process automation strategy?

Appian is now branding itself as the “End to End Process Platform”. This branding reflects their use of new AI/ML/Large Language Model technologies with RPA (robotic process automation) and process mining to solve complex business process challenges quicker than ever.