The pandemic has pushed IT departments to adapt quickly to various challenges. A new report, IT's Changing Mandate in an Age of Disruption, suggests that to continue with various digital transformations and increase adaptability for the future some IT improvements must be made. For the insurance industry, artificial intelligence and machine learning may be key, according to the report, which was conducted by the Economist Intelligence Unit, supported by Appian, an enterprise software company. The report includes information from two surveys, conducted in May and June of this year, and responses from 1,002 IT and senior business executives, who worked across six different sectors including financial services and insurance and were from nine countries. Forty-one percent of respondents from the insurance industry said expanding the use of AI and machine learning is the most impactful way that technology can help organizations respond to potential changes.

All the sessions from Transform 2021 are available on-demand now. Low-code automation platform Appian today announced that it acquired Lana Labs, a process mining company, for an undisclosed amount. Appian says that with the addition of Lana, it'll be able to deliver actionable and continuous process optimization with people, systems, and data in the same workflow. Digital transformation and the ability to adapt quickly are critical in today's business environment. That's why a growing number of companies are adopting process mining, a family of techniques that support the analysis of operational processes of event logs, with the goal of turning event data into insights and actions.

Software company Appian this morning unveiled the latest version of its low-code automation platform. The new release introduces AI-driven intelligent document processing (IDP) and developer collaboration features, as well as enhanced DevSecOps capabilities and what Appian calls "low-code data," a code-free approach to unifying enterprise data. Research firm Gartner estimates the market for hyperautomation-enabling technologies will reach $596 billion in 2022, up nearly 24% from the $481.6 billion in 2020. As organizations look for ways to accelerate the digitization and structuring of data and content, technologies like document ingestion and natural language processing will remain in high demand. Low-code data headlines the enhancements launched today.

Research firm IDC estimates that global revenue from artificial-intelligence hardware, software, and services will climb roughly 12% annually to reach $156.5 billion this year, and spending is expected to accelerate as coronavirus-related pressures ease. The firm projects a compound annual growth rate of roughly 17.1% for the category across the five-year period spanning from 2020 through 2024. Artificial intelligence (AI) has the potential to influence almost every industry, and the overall economic impact of the tech will exceed what's spent on hardware, software, and services many times over. The great news for investors is that the artificial intelligence revolution is still in its early innings, and the beneficial impact that it will have for industry leaders is still underappreciated. With that in mind, here's why Appian (NASDAQ: APPN), Xilinx (NASDAQ: XLNX), and Facebook (NASDAQ: FB) are three top AI stocks to buy this month.

Nobody knows for sure what the post-COVID world will look like. But you can certainly bet it's going to be different. The pandemic has already pummeled the global economy and exposed weaknesses in supply chains and vintage software systems. But it has also accelerated automated delivery of goods and services, autonomous customer interactions and forced companies once skeptical of work-from-home culture to embrace it more than ever before. "And, yet, for many executives," says Muthulakshmi (Lakshmi) N, Global Head, Intelligent Process Automation and AI at Tata Consultancy Services (TCS), "a major roadblock to scaling automation is the misconception that aggressive, holistic automation will produce widespread job loss. But this view fails to imagine the new types of jobs that will be created when automation frees employees from work that can be done faster, better, and less expensively by artificial intelligence (AI)."

Over a decade ago, a nebulous idea called "the cloud" started to gain momentum. Using the internet to deliver a service to a remotely located user was a novel concept, but today, it's an essential piece of the economy. Artificial intelligence (AI) is likewise an important but oft-misunderstood technology. It's still developing, but it promises to create a new segment of the economy based on the automation of simple tasks and raw data crunching. Researcher IDC estimates that some $37.5 billion was spent globally on AI systems in 2019. That's not a particularly large sum, but IDC thinks that figure could roughly triple by 2023.

Improving efficiency allows organizations to get even more done in the same amount of time. When it comes to developing apps, low-code allows businesses to quickly build custom applications to suit their needs while Robotic Process Automation (RPA) allows businesses to automate mundane tasks so their human employees can focus on more important work. Appian is known for its low-code software but through a series of recent acquisitions, the company has expanded further into automation by offering customers the ability to automate tasks through RPA and do so intelligently using AI. TechRadar Pro spoke with the company's CTO, Mike Beckley to learn more about its expansion into automation. Low-code is a unique approach to building business applications – fast.

This week, Appian announced the first acquisition in its 20-year history. It was for a startup based in Spain called Jidoka. The company is the developer of an RPA (Robotic Process Automation) platform, which is ranked No. 1 by Gartner Peer Insights. Appian is a leader in the BPM (Business Process Management) and low-code markets. This technology's allows for quick development of enterprise-grade applications, which has been key for digital transformation.

TYSONS, VA – Appian (NASDAQ: APPN) today announced the latest version of the Appian Platform. The new release of the low-code application development platform increases the speed and business impact of low-code automation for developers, administrators, and end-users. The latest version delivers enhancements to Appian AI, further-expansion of Appian's Connected Systems architecture, integrated Health Check in every application, and simplified DevOps, making it easier than ever to develop, deploy, change, and manage Appian applications. Appian AI, a fast way to add best-of-breed artificial intelligence to any Appian application, now offers Google Cloud Translation as a Connected System. Customers can enable any app to detect languages and translate text with no coding. In addition, this release provides an updated Google Cloud Vision Connected System which now offers integration with Optical Character Recognition (OCR).

An increasing number of software coding tasks are being handed off to AI functions, especially in ... [ ] the low-code & no-code arenas. What software needs now is more AI. This is the universal mantra that every software application development and data platform company will beat out relentlessly throughout 2020. The rise of Artificial Intelligence (AI) and the Machine Learning (ML) processes that feed it and make it smarter has driven every software industry specialist to look for avenues where it can surgically enhance its products and services with additional layers of automated intelligence. Low-code software company Appian has clearly been drinking from the same AI Kool-Aid pot as everybody else; the company's latest platform release features a range of AI assists designed to make low code software development a more intelligently abetted process.