machine learning abstract

Too Much Focus Can Spoil Real Automation Opportunities

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 […]

Read More
equilibrium

Losing Weight Without Spending 4 Hours at the Gym

e·qui·lib·ri·um /ˌēkwəˈlibrēəm,ˌekwəˈlibrēəm/ noun: equilibrium; plural noun: equilibria a state in which opposing forces or influences are balanced. The key to losing weight is to focus on inputs and outputs. If you are eating more calories than you are burning, you gain weight. If you are at a state of equilibrium, you maintain your current weight, […]

Read More
repeat

The 10,000-Hour Rule & IDP

In Malcolm Gladwell’s book “Outliers”, he popularizes the concept that to be great at anything requires at least 10,000 hours of practice. He argues, citing various studies, that the more research conducted into acknowledged high-performing individuals across many fields, the less innate talent mattered and the more critical was a near-ritualistic devotion to preparation and […]

Read More
machine learning

Wrangling the “Simple” Structured Form (And Everything Else for That Matter)

In last week’s article a bubble was burst: automating that simple structured form ain’t so simple. You might have been led to believe by what you read on the Interwebs that your forms are a piece of cake to apply IDP in order to achieve high levels of automation. But what you’re reading is mostly […]

Read More

Straight Through Processing: Getting Beyond the Constraint | Mortgage Classification

Straight through processing is every successful organization’s challenge since all maximize efficiency with existing tools. Explore how to achieve true STP.

Read More
binary code

Why That “Simple Structured Form” Is So Hard to Process

Let me get the following statement out of the way before I begin my rant: most people have very little understanding of what IDP is let alone how to go about achieving great performance – and this includes many of the vendors you’re considering. Just sayin’. So now to that supposedly simple form you’re trying […]

Read More
automation

A Dive Into the Claim of Low Sample Requirements

I’ve written about this before but the topic always deserves a revisit, especially since so many solution providers in the intelligent document processing (IDP) market claim to provide very simple deployments. And why not? Is there anyone looking for something overly-complex? I think not. But it is a far cry to claim a super-simple deployment […]

Read More

In IDP, Trust in AI-Based Automation Is Still an Issue

WIRED held a great virtual event called RE: WIRED where esteemed machine learning thought leader Kai-Fu-Lee spoke about the future of AI and its potential. The discussion covered a lot of aspects including privacy, transparency, and bias where ML is used. One topic covered was the issue of “explainability” of AI, where Mr. Lee says […]

Read More
machine learning

First, Read the Fine Print

It may sound like the classic consumer warning of “caveat emptor” but it seems like a lot of enterprises that should know better are getting swept up in the dizziness associated with machine learning. Hey, cars are about to drive themselves so shouldn’t everything have 100% automation at the highest levels of precision? Not so […]

Read More
abstract image of small blue and white beads

Shred the Binky!

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 […]

Read More
machine learning

There Is No Easy Button, but We’re Getting Closer | Part 3

In order to refresh your memory… here are Part 1 & Part 2. In this last part 3 covering the issue of training samples, we come to the most complex part of the process of curating training sets – High Variance document types. Looking at the Explanation of Payment (EOP) document within insurance payments as […]

Read More
white desk with xray, keyboard, mouse and stethescope

When Revenue Cycle Management Goes Rogue

An interesting story of advanced analytics used not to fight fraud, but potentially to enable it, was highlighted when the Justice Department filed a civil complaint of fraud last week against both a health plan and its technology services provider. At the core of this complaint is the accusation that the technology services provider used […]

Read More
Document Processing

What Does “Template-Less” Really Mean and Is It Important? | Part 2: Template-Less Is Meaning-Less

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 […]

Read More

What Does “Template-Less” Really Mean and Is It Important? | Part 1

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 […]

Read More

The Automation Cheat Sheet for IDP Newbies

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 […]

Read More