#lowcodeautomation

Appian 24.3 is here! This release is about expanding the value of AI in Appian with new capabilities and compliance certifications. AI has always brought with it the promise of “more:” more productivity, more speed, more convenience, and more knowledge. Appian is doubling down to bring you even more value with AI than ever before, applying it in practical ways that help you meet strategic organizational goals.

"The AI Act has implications that go far beyond the EU. It applies to any organisation with any operation or impact in the EU, which means the Al Act will likely apply to you no matter where you're located." The AI Act, a landmark rule that aims to govern the way companies develop, use and apply AI, was given final approval by EU member states, lawmakers, and the European Commission.

Relationships are hard work. And without good communication, they become strained - regardless of the circumstances. Broker and underwriter relationships are no different. Whether you’re a broker trying to build and maintain rapport with customers or an underwriter trying to assess submissions and determine acceptable risk, a shared understanding of each side's priorities, goals, and pain points is key for healthier relationships and faster processes. That’s where insurance modernization can help.

NatWest tasked Appian with a handful of key objectives related to one of their policies, the Change Risk Review process: to maximise efficiency, provide simple and intuitive ways to meet governance needs, and automate change governance to reduce duplication.

Matt Calkins, the cofounder and CEO of Appian, a leading provider of low-code automation solutions, has thrown down the gauntlet to the AI industry. This week, Calkins unveiled a new set of guidelines designed to promote responsible AI development and build trust between AI providers and their customers

Medical affairs has grown to become a core pillar of the pharmaceutical industry, linking the work of research and development and commercial operations. However, for leaders in the industry, navigating the process and data complexities and communication silos involved can prove challenging. The integration of artificial intelligence (AI) to respond to these challenges and boost efficiencies throughout medical affairs can greatly impact the industry moving forward. Here are three ways AI can support innovation.

Surveys by Sollers Consulting and Ipsos show that customers expect their insurers to process claims quickly when they make a claim. Insurance companies are struggling to respond to customer demands. Sollers and Appian expect the industry to intensify claims automation efforts. Fast claims settlement is the most important thing for insurance customers when it comes to claims handling.

Matt Calkins, co-founder and CEO of Appian, said that though giants like Microsoft, Amazon and Google are spending billions on the tech, ensuring success in AI is “not just about money.” Referring to deals and partnerships between tech giants and smaller AI firms, Calkins said, “If coalitions won the AI race, Google would have won by now.” “The fact that you’ve got enough money to buy, or buy a piece of, Anthropic or Mistral or any of that, that’s impressive — but AI may not be a ‘winner take all’ market,” he added.

Process mining is taking on an increasingly important role within Appian’s automation and orchestration platform. It should provide both more insights into organizations’ processes, but also into the underlying Data Fabric. Of course, there is also the necessary space and focus on AI in version 24.2, with the Appian AI Copilot as the main exponent, in addition to eleven new AI Skills.

"The role of humans is actually going to become ‘more human’ as we continue to enter the AI economy." (Appian CEO Matt Calkins). The rise of low-code application development technologies designed to perform software architecture and workflow process automation and acceleration has been hugely prevalent in the way modern (increasingly cloud-native) IT systems have been built and operated. Software platforms at this level now have an essential responsibility to work with data in a unified, secure, discoverable and optimized way - and this is a reality significantly amplified by the arrival of generative Artificial Intelligence (gen-AI) and its impact on business operations and human welfare.