Are computers really as good as people at classifying data?

November 6, 2020

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Over the past decade, computer power has increased exponentially. With the meteoric rise of powerful tools like Artificial Intelligence, the gaps between human and computer have narrowed quite significantly.

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Digital Transformation is Obsolete

November 5, 2020

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Digital Transformation as a business term has been overused and abused to the point where we should stop saying it.

It has joined the ranks of some of the other annoying and overused terms like giving 110%, putting lipstick on a pig, and synergy...just to name a few. Pick your favorite.

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Machines Never Sleep

October 6, 2020

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The Bright Side of Automation: Machines can help humans sleep better at night.

 

Automation is everywhere in our personal lives. From a Roomba 960 vacuuming the house while you are out, the Polaris P955 cleaning the pool, and your Oster automatic coffee machine(I can’t afford a Cuisinart) patiently waiting to brew your morning coffee. Take it a step further with a Google Nest Hub, practically everything in the house is at your fingertips or the tip of your tongue with voice commands.

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Maximizing the Power of Metadata                 - Is Data Management the New Cool?

October 6, 2020

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What is Metadata? It is data that provides information about other data. It summarizes basic information about data, making finding & working with particular instances of data easier.

Where is it? It can be internal, within the contents of the file. Or, it can be external, residing in a database, catalogue, library or an index associated with the file.

How is it created? It some instances, it can be created manually, but most metadata is created automatically by the applications used to create the file. 

What is it good for? Now here is where it gets interesting….

 

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A Byte of Rice - The Scale of Enterprise Data

July 3, 2020

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If we begin with this analogy, that ONE BYTE OF DATA = ONE GRAIN OF RICE. Here is what that volume looks like if we apply it to the larger units of measure for data sets.

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The 5 MUST ATTEND Sessions at #AIIM20

February 26, 2020

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“Conferences can be overwhelming: they’re loud, bright, full of new faces and punctuated by advertisers jostling for your attention. Without a clear plan of action, professionals risk wasting an invaluable opportunity to learn and develop”

Charlotte Woffindin, Senior Product Manager, Amazon UK

Many conference goers suffer from FOMO (fear of missing out). They pack their day full of sessions only to find themselves overloaded with information and turning into a conference zombie. Pick your “A” sessions first and then talk to others about which ones they are attending and why?

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Put Records Managers in the Driver Seat

March 8, 2019

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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. 

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Overcoming a case of AI FOMO in 2019

February 22, 2019

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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).

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The four steps to becoming an AI Enterprise

February 11, 2019

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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.

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The State of Artificial Intelligence in 2019

July 14, 2020

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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.

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