Alan Pelz-Sharpe at Deep Analysis is on a mission to prevent organizations from making mistakes by backward thinking, whether it is from taking a “technology first” perspective or relying too heavily on simplistic frameworks to make vendor selections, there are a lot of worst practices to avoid. Even in an age where there is a […]
Rude? Perhaps. True? Definitely. But let’s face it, there are a lot of B2B technology solutions that are hard to grok let alone implement successfully. That CRM system you’re exploring? Functionally complex, and plenty of ways to get it wrong. Automated, multi-channel customer service application? Watch out, or you’ll be under a deluge of angry […]
Parascript is co-sponsoring a talk with Ricoh USA at the upcoming Insurance AI and Innovative Tech conference in Chicago on April 26th and 27th. Ricoh has been doing some fantastic work in the area of combining AI, SaaS delivery models, and turnkey outsourced staffing as part of its new vision for digital transformation. The focus of this talk […]
I just read a great article in Document Strategy’s Spring issue by Alan Pelz-Sharpe, the principle at Deep Analysis. The main premise is that while organizations can choose to tackle digital transformation projects at a large scale, should they? The article goes on to point out some impressive arguments for taking a more selective approach […]
Sometimes it’s not all about adopting AI to make things work better. I was reminded recently about the power and significant benefits of process reengineering in a call with a prospective client. Most companies that deal with document-based data within key processes naturally gravitate to the idea of applying AI to automate a lot of […]
Margin compression and how to deliver new products that are increasingly complex, in an efficient way. Those are two key points made at a recent virtual event hosted by HousingWire and sponsored by us, Parascript. We also found that the pandemic did a lot to highlight the process issues associated with lending including the increased […]
Last week I started a conversation on what template-less means and where it came from. There’s a lot of hype around IDP and the ability to address document automation without requiring the creation of templates that dictate exactly where needed data is found on a page. The reality is that templates if applied correctly, provide […]
Within IDP vendor marketing, if the use of “machine learning” or “artificial intelligence” take the top two spots, coming in a quick 3rd has to be the term “template-less”. The main gist that this use is meant to convey is that organizations shouldn’t have to spend time laying out the various data fields they need […]
I routinely like to juxtapose IDP software with other enterprise software mostly because the differences, while routinely neglected, are vast, and we’re not just talking about applications or features and functionality. When it comes to most enterprise software, emphasis is on user or process efficiency or introducing new capabilities to the business all of which […]
We recently participated in a virtual event with Mortgage Banker Magazine along with industry veteran Keith Mullen from Saxony Partners where we discussed the current state of “process confusion” and the immense costs in time and effort inefficiencies cause. For example, in commercial lending, the hoops and obstacles that have to be overcome are dizzying. […]
What is the most important feature of an Intelligent Document Processing (IDP) product? Hint: You already know but you don’t spend enough time on it. Before I get to the point, let’s discuss how IDP software is different from most other enterprise software. Features & Functionality – The Hopeless Scorecard of Enterprise Software We’ve all […]
Everyone talks about AI (and more appropriately machine learning) as being the silver bullet to the challenge of achieving highly efficient business processes. And on the surface, the excitement and perspectives appear appropriate. After all, machine learning has the ability to see things in data that humans might never notice and automatically perform tasks with […]
