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No pain, lots of gain: invoice automation and machine learning

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We're living in an era of rapid, ever-changing digital transformation. Everyday at AODocs we see businesses struggling with slow, inefficient, and expensive processes simply because they are stuck in their status quo. These companies could gain a lot by understanding how their traditional ways of working could be greatly improved by the right technology and strategies. Finance and procurement departments are particularly lagging behind in terms of implementing the right technology to achieve better performance. And we understand their hesitation.


Square launches mobile app for its Invoices service

ZDNet

Square on Tuesday announced the launch of a new standalone mobile app for Square Invoices that lets sellers send, manage, and receive invoices from a smartphone or tablet. In its original Square Register version, Invoices lets merchants send invoices directly to a customer's email with a direct payment link. The new invoices app functions much in the same way as the desktop version, with the exception of a new feature that's been added that lets users send estimates and confirmation details for future jobs. First launched in 2014, Square said Invoices has a grown into a significant revenue driver within its services ecosystem. Its latest numbers show that more than $13 billion has been processed globally through Square Invoices over the last five years.


5 things I learned while developing a billing system - Arnon Shimoni

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Half a year ago, I joined Pleo, a FinTech startup with around 15,000 customers (we're always hiring at Pleo!). I joined to take on and further develop the billing infrastructure. When I joined, I was actually a bit concerned about the narrowness of the new role and the new team. I mean, really… How much depth could there be in billing? Would we not run out of things to do after 3-4 months?


From artificial intelligence to accounting intelligence

#artificialintelligence

Some call artificial intelligence the fourth industrial revolution -- and it fascinates us, raises many questions, excites us, even scares us a little. But there is no denying that AI makes our daily lives so much easier than it was a few years ago, and much more than we imagined. When we talk about AI, we immediately think about what we use every day, such as virtual assistants or chatbots (e.g., Siri or Cortana), smartphones that identify us through fingerprint or facial recognition, cars that are able to detect pedestrians and to park themselves (often better than humans do). We also think about computers that recognize and analyze documents automatically. AI is also widely present in the business environment.


If only something could intelligently analyze our mountains of paperwork. Hey, let's ask our new friend, machine learning

#artificialintelligence

Sponsored We've spent the last few years building collaboration systems and filling them with our enterprise content. Isn't it time that we did something with those documents and emails rather than simply sharing them on message boards and editing them together? AI could help us use our business information to automate tasks and even prevent employees from breaking industry regulations, if we can only overcome the challenges that stand in its way. Even though employees love digital collaboration, they don't always get the tools they're after. According to Deloitte, 32 per cent of employees aged 40-49 used collaboration tools not supplied by their employer because their own applications had a wider range of functionality than those officially approved at work.