Life Science AI Search Simplified
You Have It...
Worldwide, it is estimated that we generate over 2.5 quintillion bytes of data every day. That is a huge amount, but what does that mean. Here is just a small sample of the data we create every day:
- We send 18.7 billion text messages
- 681 million tweets on Twitter
- Upload 71.1 million photos on Instagram
- Send 281 billion business emails
This does not even touch on all the various business documents that we create and share with our colleagues all over the world. Over the lifespan of a typical company, you can only imagine how much data is generated and stored in your company’s numerous repositories. Just think of all the countless emails, presentations, spreadsheets and documents that get generated every day. Multiply that across thousands of employees and it's not hard to see we generate a tremendous amount of information in the life span of each employee.
This number grows even larger when you think about how long the company has been in business and equates to hundreds of millions, billions and even trillions of dollars which have been invested in the developing of these information assets that we use to run our businesses every day. Think of all the clinical trials, promotional marketing campaigns and regulatory submissions you have been or are involved in.
“Companies spend a lot of money paying employees to look for something they already paid them to create.”
Can You Find It?
Unfortunately, this content is scattered across dozens if not hundreds of repositories, many of which are old, hard to use or virtually inaccessible. Thus, our most expensive assets - our employees - spend all their time searching and in many cases recreating the same information.
According to a McKinsey report surveying 268 top executives, employees spend 1.8 hours every day - 9.3 hours per week, on average - searching for and gathering information. In another report, IDC data shows that “the knowledge worker spends about 2.5 hours per day, or roughly 30% of the workday, searching for information. These findings are astounding in this day and age.
In the 2018 Definitive Guide to America’s Most Broken Processes, Nintex conducted a survey of 1,000 U.S. full-time employees across various industries and departments and found that 39% of the people interviewed observed broken document management processes within their organization. Not surprising 49% said they have trouble locating documents.
Based on these statistics, let's assume an average yearly salary of $80,000; that means a company that employs 1000 workers would spend about $24 million per year looking for data. It is safe to say companies spend a lot of money paying employees to look for something they already paid them to create.
Docxonomy Simplifies Cognitive Search
Every day we search for answers when we google the weather, the latest score in a game, or any other information that we frequent on the web. We are used to immediate answers and quick results in the public domain. Unfortunately, when we go to work the experience pales in comparison. As defined above we spend countless hours trying to search for information across numerous repositories. How amazing would be if we could simply “google” the documents that exist behind our firewalls?
At Docxonomy, we have solved this problem. We have transformed the enterprise search by applying powerful new techniques making the search process more intelligent. We use modern technologies and powerful models built on artificial intelligence and machine learning algorithms to streamline and help people look for information. We bring the search experience - that we all know and love every day - behind the firewall.
Using our powerful intelligence engine coupled with our prebuilt connector framework, you can quickly connect to your disparate systems and begin to crawl and index data within minutes. Once the crawl begins, the intelligence engine starts to surface the indexed content and you can start searching immediately. It doesn't get any easier than that.
As a life science professional, imagine how powerful it would be to simply type in the search box for a side effect (or even ask a question!) and hit search.
Whether your files are stored in Documentum, Veeva, Sharepoint, network shared drives or any other repository; you have one place to search for answers. Even more powerful, you don’t have to enter any metadata to get this process started. You simply configure, turn on the connector and let Docxonomy do all the work. Docxonomy will use our powerful intelligence engine to read the documents like a human being and automatically classify and index them for you. Docxonomy will index any existing metadata found on the file or in the source system however, more importantly, it will extract insight directly from the content.
Once you execute this search it will quickly return all the results by scoring and highlighting the most relevant, contextual snippets of text it finds from your questions.
Furthermore, you can quickly sort the results leveraging many prebuilt Life Science aggregations which automatically identified entities - like pharmaceutical name, side effect, route of administration and many more. In a matter of seconds, you can slice your results and quickly get to the relevant content you need to do your job.
Is your current search platform even remotely close to letting you “google” the millions of completely unorganized files on your shared drives? Can you do that from a mobile device?
At Docxonomy, we believe there is untapped potential stored in your countless unconnected data repositories containing hidden wisdom. We enable instant, secure and knowledgeable access to both unstructured and structured information by affordably leveraging the latest developments in artificial intelligence and machine learning to gain insight like never before.
We believe that searching your business content should be as easy as googling the weather.
You have it. Can you find it?
Visit us at canyoufindit.com to learn more.