AI models are subject to a common unintended consequence: data sycophancy. This term means that an AI query of a specific dataset will amplify any biases already inherent in that dataset. Here are examples of common sycophancy effects: This sycophancy effect, and the risks it poses, can be counteracted with
Information Evolution works with a lot of enterprise software firms that have back-end content management systems (CMSs) that are essential to keeping management costs low and ROI high. Like every other software firm on the planet, the developers of these services are deploying AI enhancements to their tools. As power-users
A lot of lip service is paid to continuous improvement, but what is it, really? For Enterprise SaaS firms and market intelligence services, their products are judged by their functionality, workflow integration, response times, and accuracy. The keys to incremental improvement, therefore, are: This three-step process is a part of
I’ve never been a fan of using the word “solutions” to describe software. In fact, I gave a speech in 1997 where I mused upon the day when “shoes” would be called “foot protection solutions”. That said, it must be conceded that “code” and “software” are not inherently intuitive descriptors
One of the lessons I’ve learned over the years from working with start-ups and ‘intrapreneurs’ at enterprise SaaS firms is how to tactically roll out new information services. The classic model is to first build a minimally viable product (MVP) with a limited scope and then scale it incrementally, making
According to the leaders of business and government, every decision made is based on rock-solid “data”. While this may reassure people, those of us in the data trenches know that “data-driven decision-making” is always the goal but the devil is in the nature of the data. And if “data is
As the value of refined data to enterprise SaaS products continues to increase, the role of the managers responsible for gathering, processing, and maintaining mission critical data – “DataOps” managers – has become essential. So, who are these new Data Ops professionals and what do they do? In the software
Estimated data gets a bad rap. AI is based on the probable likelihood that something is accurate (based on semantic analysis, training, and probability) and nobody has a problem drinking this Kool-Aid from a firehose. But when it comes to the commercial data that powers enterprise SaaS products, product managers
At Information Evolution we see many companies that invest in AI, analytics, and automation tools, but overlook the fundamentals of their data supply chains. A few simple rules (and the right partner) can help firms eliminate process bottlenecks, access data in once inaccessible silos, and ensure that there are no
Inc. Magazine just announced that Information Evolution is No. 4312 on their annual list of the 5,000 fastest-growing private companies in America. This recognition is based on our growth over the past few years, and for that we are deeply thankful to the innovative software companies that trusted us with
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