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Appian 23.2 Brings AI to Processes and Improves Total Experience.

In 2023, AI is everywhere, and not a day goes by without someone developing a new way to use tools like ChatGPT. With the increasing hype about the promise of AI, it’s more important than ever to cut through the noise and focus on how AI can help you deliver real business value. Modern process automation platforms go above and beyond the capabilities of AI alone.


Why Are Data Silos Problematic? How to Fix 3 Top Problems

Your teams need constant connectivity to your organization's data and systems to operate effectively and thrive. And with digital transformation spurring a more rapid pace of innovation and technology adoption, this need for connected, democratized data is on the rise. That makes data silos an enemy you can no longer tolerate. Data fabric is the modern answer for eliminating data silos. Data silos occur when data is stored in separate systems or departments without proper integration.


Your Biggest Request Delivered and More in the Appian 23.2 Release

April showers bring May feature releases to the Appian Platform. Get ready for sunny skies ahead with some seriously great new updates to Appian in 23.2. View documentation, release notes, discussion board posts, and tutorials on Community. The AI buzz is everywhere. If you’ve been getting bombarded with requests to “use more AI,” we’ve got you covered.


AI and Automation: 6 Facts about the Future of Work

Artificial intelligence (AI) and automation stand at the vanguard of the future of work. While it’s impossible to predict with certainty how things will change, a few current trends and stats provide a good sense of where the future of AI and automation will take us. As evidenced by the recent interest in generative AI, companies want to experiment with how to reap deep benefits from automation technology.


Data Fabric 101: What You Need to Know

What can data fabric do for your organization and how does it differ from other data management approaches? This primer will get you up to speed on data fabric essentials and help you explain the basics of this top tech trend. What is a data fabric? A data fabric connects data sets across disparate software systems, whether they’re on-premises or in the cloud, and creates a complete view. It’s both a tool set and an unified architecture layer (also called a virtualized data layer).


AI in Procurement: 3 Ways to Improve Government Acquisitions

Artificial intelligence (AI) is the revolutionary technology that powers assistants like Siri and Alexa, self-driving cars, and personalized recommendations on shopping websites. And it’s safe to say that the AI revolution is continuing to gain momentum across industries and the public sector. AI can be particularly transformative in government procurement, streamlining the acquisition process to save time and money.


What are Data Silos and 5 Best Practices to Eliminate Them

Using data to make decisions is actually really hard. Yet nearly every tech company, business, and team touts “data-driven” as the de-facto way that they operate. In practice, this intention to be data-led is often just aspirational—only about a quarter of organizations report that they are actually data-driven, according to Harvard Business Review. It’s easy to see why organizations strive to more effectively use their data.

Appian 23.2 Product Announcement Webinar

Build AI into your processes with the Appian AI Skill Designer, uncover new insights from your data, and deliver more customized portals and sites. Appian 23.2 supercharges end-to-end process automation. You can now leverage the power of AI and ML to deliver lightning-fast apps that boost efficiency, enable data-driven insights, and create engaging user experiences—all on a single, highly secure platform.

Infuse AI into Your Processes with AI Skills

Artificial intelligence (AI) has captured the collective imagination. Most news stories focus on the impact AI will have on the future and the productivity growth we might see. Yet, the rank-and-file at most companies know the challenges of truly integrating AI into their workstreams. Organizations need results now. Solving real business challenges requires combining the power of AI with human workers in a seamless workflow.