Data Formatting Issues Are a Thing of the Past with Point-And-Shoot
To complete the suite of files you can simply upload to Coseer, today we are announcing support for Lotus Domino Database files (.DXL). It joins Microsoft Office Suite, Sales Force and other file formats like HTML and TXT as part of our point and shoot capabilities.
Point and Shoot: A Critical Need For AI
Like any breakthrough technology, AI has weathered its share of boom-and-bust cycles. The reason for the “busts” was always the same. Applications of AI could never measure up to expectations. When the first useful AI programs came onto the scene in the 1980s, they were built for small, specialized applications – and still failed. They were inflexible, hard to maintain, and brittle. AI has evolved since then, but enterprise needs more than just a cool bit of technology. Businesses need solutions to their problems. Technology can be a gamechanger, but if it isn’t easy to use, easy to update and maintain, and flexible enough to handle the complexities of modern workflows, it just isn’t worth the headache.
That’s why we’ve worked so hard to bring point-and-shoot capability to AI. (More details coming up on official launch of Point and Shoot at the end of the month).
Now, regardless of the state of your data, regardless of file type, and without need for subject matter expert input or data annotation, all the benefits of enterprise AI are available to you.
Garbage in, garbage out: why clean data matters
Knowledge is the only real competitive advantage left. Today, that knowledge often takes the form of data. Most businesses have no shortage of data; in the era of Big Data, everything imaginable is tracked and stored. But many businesses don’t realize that they are sitting on mountains of bad data. The cost of this is incredible. In fact, IBM research has estimated that the annual cost of bad data for the U.S. economy is $3.6 trillion. Missing fields, bad formatting, duplicates – these are huge roadblocks to making sense of information, AI or no AI.
There may be valuable insights hidden in the piles of bad data, but to get at them, the data has to be cleaned. And this is harder than it sounds.
Are my files compatible with an AI algorithm?
Hiring expensive subject matter experts to annotate and tag existing data is a hefty expense to be sure. But what if your business uses uncommon data formats? Will you even be able to use an AI solution?
In the past, all file types were not created equal. Some AI vendors ask clients to take it upon themselves to export, convert, and re-upload file types that are incompatible with their engine. This is not only expensive, but work intensive and opens up opportunity for other data issues (redundancies, mistakes, etc.)
At Coseer, we want to offload work from the client’s side. Isn’t this the entire point of using AI? To that end, we’ve worked hard on our side to make sure that our engine can handle whatever file type you may be working with.
We can now ingest Lotus Domino databases at the same speed at which we could upload more common Microsoft Exchange data. For those of you saying “I haven’t heard of Lotus in 15 years”, it’s estimated to be in use by more than 30,000 major companies today.
Bring us your tired, your poor, your unannotated
Okay, it’s not a “statue of liberty” moment, but it is a leap forward in making enterprise AI not just scalable, but actually useful for companies big and small. With the ability to ingest more varied data types, we have the ability to make use of more data points – bringing you better insights while still achieving more than 95% accuracy.
Point-and-shoot is as simple as it sounds. Point at the data you are interested in, and we will do the rest, finally bringing you real answers quickly.
Setup a meeting with our team to learn more.