Records Managers have the toughest job. They are supposed to tell everyone who can "save a file and where" which inevitably disrupts the way everyday users work. They build out proper taxonomies and then add a bunch of metadata on top of it, which is a recipe for unmanaged data and unhappy users. Their projects are measured in years and rarely cause a ripple in the pond of data. Imagine that you are tasked with understanding an ocean of data and every single file's life-cycle with a budget that gets you an ice cream cone and last years Super Bowl hat.
Everyone is clamouring for enterprise search to work "just like Google" but success is only possible with good content and quality metadata. Findability comes from using the right business terminology and language. But organizations need to consider the variability of terms that comes from different departments and business units. Finance may refer to documents using different terms than legal might. Take a look at The Dirty Secret of Enterprise Search: It's All About Good Content by Jed Cawthorne to learn more about enterprise search.
Overcoming a case of AI FOMO - published Janurary 2018
Just over a year ago, we discussed the urgency of Artifical Intelligence projects on our blog. In early 2018, organizations were trying to grasp how best to implement AI solutions before they fell dangerously behind. Now in 2019, the challenge is still the same, but companies are finally starting to realize what's causing the pain. (Hint: it's data).
Organizations need to improve data quality and information architecture to power their transformational efforts. Artificial Intelligence and Machine Learning have proven effective tools to gain insight into enterprise documents and kick off the journey to automation.
The promise of Artificial Intelligence has been dominating the headlines for the last few years, promising massive disruption across all industries. “Fifty-three percent of global data and analytics technology decision makers are implementing or expanding their use of AI, while another twenty percent plan to implement AI in the next 12 months.”1 Even though AI has been dominating the headlines in 2018, there has still been very few massive deployments of enterprise AI. Instead, CXOs have been focusing on quick win AI projects to drive real ROI. In 2019, this shift will continue as organizations realize that a massive enterprise AI deployment is not possible with the current state of their data.
Why settle for your enterprise search looking like this...
when it could look like this?
Forrester just released their Predictions 2019: Digital Business report. They're seeing 2019 as a year of economic uncertainty. Budgets are expected to see increasing pressure, meaning businesses will need to get back to basics and deliver manageable chunks of innovation while driving tangible outcomes. Winter is coming - no one can afford vanity projects.
AI-powered automation is changing document management. AI is significantly faster, more reliable and cheaper at managing your documents than humans. It's why organizations are turning to technology to replace manual tasks and improve compliance.
Sept 20, 2018 — Shinydocs joined an elite group of IT solution providers last night for the CDN Channel Innovation Awards (CIA). Twenty organizations from across Canada were recognized for the creation of solutions and services that provide their partners and customers with a unique value proposition.