#lowcodeautomation

2023 is looking likely to be a breakout year for artificial intelligence (AI) and machine learning (ML). Some industry-watchers predict that recent breakthroughs in AI might lead to a new revolution in society akin to the industrial revolution, the invention of the internet, or the advent of the smartphone. A wide variety of Industries have been using AI for decades, which brings up the question: What are some common AI/ML use cases? What use cases should business and IT leaders track, as they shape a holistic process automation strategy?

Appian is now branding itself as the “End to End Process Platform”. This branding reflects their use of new AI/ML/Large Language Model technologies with RPA (robotic process automation) and process mining to solve complex business process challenges quicker than ever.

How can you find time to drive efficiency across your organization when there is so much digital work to be done? This is one area where hyperautomation and digital transformation initiatives intersect. Let’s demystify some of the gray areas surrounding what hyperautomation technologies and tools can help you accomplish as you shape automation strategy and select tools.

Appian has rolled out Appian Protect, a new set of security offerings providing data monitoring and end-to-end encryption for cloud and mobile applications. Appian Protect gives Appian customers more control over their security posture, with top-tier encryption capabilities, 24x7x365 monitoring, defense-in-depth data protection and a host of compliance accreditations.

Insurers use automated underwriting technology to make faster and more precise underwriting decisions, resulting in improved efficiency and profitability. But more than that, automated underwriting represents a trend that will play a critical role in the insurance industry's future growth and success.

Appian (Nasdaq: APPN) announced today that it is named a Leader in the inaugural Everest Group insurance technology report, Digital Claims in Property and Casualty Insurance Solutions - PEAK Matrix® Assessment 2023. The report analyzes 17 digital claims solution providers for P&C insurers across multiple evaluation dimensions.

It began with the pandemic. Consumer spending shifted from experiences to goods, spiking demand. Ports clogged due to shutdowns. Factories operated at reduced capacities from sickness, lockdowns, or even infrastructure issues like rolling blackouts. But it didn’t end there. The ripple effects have continued. Supply chains continue facing upheavals, particularly with respect to inflated prices and global conflict like the war in Ukraine. This leaves supply chain professionals on shaky ground. Predictability is necessary for proper planning, procurement, delivery, and more.

The Know Your Customer (KYC) process plays a critical role in helping banks and financial institutions prevent financial crime while improving onboarding speed for customers. Get advice on key KYC strategies, procedures, and trends.

The need for a comprehensive and forward-looking data strategy is clear. When you research data strategies, you are presented with a myriad of options, from data warehouse and data lake to data fabric and data mesh. So how do you know which option will work best for your business and your plans?

On the surface, KYC (Know Your Customer) compliance seems simple enough—financial institutions are responsible for knowing detailed information about their retail and institutional customers. In reality, however, managing the customer onboarding process and subsequent KYC procedures can be tedious, time-consuming, and disjointed. The good news is, you can simplify and automate highly complex KYC processes with a low-code solution.‍