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Everything You Need to Know about API Adoption

Businesses must evolve and innovate to stay competitive in the ever-growing market. API adoption has witnessed an extraordinary surge across industries. Over 85% of enterprises are already using APIs or are in the process of doing so, a testament to how APIs are integral to defining business operations. APIs act as messengers, enabling different software applications to talk to each other and share data. Businesses can create a unified data architecture by integrating applications through API adoption.

5 Data Fabric Use Cases IT Leaders Should Know About

The magic of a data fabric architecture lies in its ability to unify data access and integration, enable real-time analytics, enhance governance and security, and boost operational efficiency. It’s not just a tool; it’s a game-changer. For IT leaders in this age of acceleration, understanding the top use cases of data fabric can mean the difference between winning and losing the race for customers and market share.

A Complete Guide to API Generation

API generation automatically creates an API based on pre-defined code and specific requirements, such as data access methods. APIs are the essential unit of a hybrid integration platform (HIP), an architectural approach to connecting everything or anything through a digital pulse. In this hustle to connect everything digitally, organizations need a process to acquire safe and secure APIs. API generation can make this happen, allowing companies to generate and deploy APIs without writing code.

AI Orchestration: Setting the Stage for Enterprise Modernization

Integrating artificial intelligence (AI) into business operations is no longer optional—it’s necessary. Yet, too often, businesses fail to reap the full rewards. AI can’t produce the results that impress stakeholders and drive tangible results unless you take a strategic approach to its deployment.

Appian Platform for the Public Sector

The Appian Platform brings #AI, #ProcessAutomation, and #DataFabric together in a low-code environment so you can unleash digital innovation. With Appian, you’ll automate and optimize your processes from beginning to end so you can compete and win in our rapidly changing world. Learn more at appian.com. The Appian Platform enables you to: See how Appian can help you drive business efficiency, streamline compliance, and connect users and constituents in end-to-end business processes. Appian process automation moves missions forward!

Revolutionizing Financial Services with AI: Harnessing Speed and Real-Time Data in the Cloud

In today's financial services landscape, the need for speed is paramount. Traditional financial processes are no longer sufficient to meet the demands of modern consumers and businesses. The synergy of three emerging technologies promises to expedite financial services processes: By implementing a data fabric, financial institutions can break down silos, enabling data to flow freely across the organization.

Generative AI vs Predictive AI: Knowing the Differences

Generative AI has received the lion’s share of the press. With good reason—it’s revolutionizing the way we do work and do business. But it’s not the only game in town. Predictive AI also places a role across enterprise use cases like demand forecasting, maintenance, and customer experience. This blog will discuss these two types of AI: generative AI and predictive AI.

An Introduction to Active Data Governance

The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. But now, with the data-driven culture, modern enterprises are adopting an agile approach toward data governance that primarily centers around data accessibility and empowering business users to take responsibility for governing and managing data.

A Guide to Automated Data Governance: Importance & Benefits

Automated data governance is a relatively new concept that is fundamentally altering data governance practices. Traditionally, organizations have relied on manual processes to ensure effective data governance. This approach has given governance a reputation as a restrictive discipline. But, as organizations increasingly adopt automation in their governance processes, this perception is changing.

What is API Monitoring? Best Practices to Track API Performance and Metrics

API downtime can cost businesses an average of $140,000 to $540,000 per hour. Maintaining reliable and high-performing APIs has become critical for any digital business’s success, with much at stake. This scenario is where API monitoring steps in. An important part of API management, monitoring API metrics allows organizations to detect issues rapidly and optimize their API performance.