#lowcodeautomation

BPA combines a number of technologies to help organizations orchestrate, automate, and optimize their business processes. BPA delivers cost optimization by upping your efficiency and refocusing your talent on higher value work, but it also fosters the agility your organization needs to succeed in a rapidly changing world. And this already-powerful approach is becoming even more powerful with the widespread addition of artificial intelligence into BPA software, particularly generative AI. When AI is infused into business process automation, it creates a supercharged version of BPA.

Like all industries, generative AI seems to be shaking things up for digital process automation (DPA). But in reality, artificial intelligence is less of a shake-up and more of a natural complement to the capabilities that support a process automation initiative.

Appian (Nasdaq: APPN) announced today that it is named a Leader in the new report, The Forrester Wave™: Digital Process Automation Software, Q4 2023. In the 26-criterion evaluation of 15 digital process automation (DPA) providers, Appian scored the highest of any vendor in the Current Offering category.

Appian, the platform for artificial intelligence (AI) process automation, has announced availability of a new, enhanced version that promises to streamline business processes and decision-making via data-driven insights. The notable update released is Appian's preview of its self-service analytics (SSA) capabilities, which give users the ability to gain insights from Appian's Data Fabric with ease. Data Fabric consolidates data from various sources into a unified and secure data model without moving any of the data, allowing customers to explore and analyse their data through SSA and AI Copilot, a tool designed to assist with data analysis and interpretation.

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.