#lowcodeautomation

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.

AI went mainstream in 2023 dominating news headlines, LinkedIn feeds, and business conversations. However, despite witnessing significant progress over the past year, we are only at the cusp of AI’s potential. For the banking and financial services industry, AI isn’t just a new tech trend. It’s a powerful tool that will have a wide range of impacts, from risk management to operational efficiency and customer experience.

While generative AI offers great potential to accelerate productivity and innovation, it poses new challenges to business leaders. For instance, how do organizations prepare their workforce for a future where humans and AI work together to make critical decisions and complete complex tasks? How can they adopt generative AI safely across the business? How do they make sure that no one is left behind?

"Appian has undergone a significant transformation during the past 15 years, becoming a hyper-automation platform with a strong emphasis on AI and data management. All our acquisitions since the start have allowed us to facilitate the integration of analysis and mining capabilities into Appian's automation and development processes." ... hear more from Miguel González - Appian Vice President for Southern European Union and Latin America.

In 2023, enterprises experimented with AI to streamline operations, reduce costs, minimize errors, assist customers, and automate repetitive tasks. With the ongoing generative AI boom, the possibilities for using AI within large organizations are expanding. As we look forward to 2024, let’s explore the hottest artificial intelligence trends shaping the enterprise landscape.

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.