Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Exploring Technological Horizons with Recorded Future
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > Exploring Technological Horizons with Recorded Future
AnalyticsPredictive Analytics

Exploring Technological Horizons with Recorded Future

AlexOlesker
AlexOlesker
4 Min Read
SHARE

Technological innovation can be a huge advantage to early adopters or a massive disruption to organizations that do not see it coming.

Technological innovation can be a huge advantage to early adopters or a massive disruption to organizations that do not see it coming.

For the Department of Defense, disruptive technology is literally a matter of life and death, so they try to predict the high impact innovations of the future using a method called “Technological Horizon Scanning.” The premise behind the technique is that the greater the distance between two fields, the greater the impact would be if they were to come together.

Think of historical examples such as internal combustion and transportation, electricity and illumination, or, more recently, distributed computing and gene sequencing. Traditionally, the Department of Defense had relied on statistical clustering to identify candidates then mathematically analyzing the different permutations of their combination.  This brute force technique would often take so long that once the data crunching and analysis was complete, the technology the Pentagon was exploring was no longer cutting edge.

More Read

Image
Google Flu Trends: Importance of Veracity, the 4th V in Big Data
Virtualization and Cloud Computing
How to Score 300,000,000 Customer Records for $3
Analyzing the Results of Analysis
Blogging Increasing in Popularity Among Gen Y

The Department of Defense turned to Recorded Future to make exploring technological horizons faster, more accurate, and verifiable, leading to a recent case study published on the Recorded Future blog. Recorded Future is a temporal analytics engine that pulls from over 150,000 sources daily and indexes results for analysis by event, entity, and time. It also includes events set to occur in the future and, by indexing those projections, harnesses the predictive power of the Web. Recorded Future also provides visualization tools to help detect trends.

Recorded Future improved the Department of Defense’s Technological Horizon Scanning in several ways. The service was able to work with more data than analysts could handle on their own in multiple languages and from a variety of media,  allowing them to keep up with the fringes of a various technical and scientific disciplines. Recorded Future then added structure to that Big Data with temporal context. It did so without losing complexity, as analysts could dig into individual data points to find additional information and sources. This allowed them to separate outliers from legitimate hints at technological shift. Rather than having to create and consider possible technological permutations, Recorded Future allowed the Department of Defense  to compare and monitor real-world predictions to quickly narrow the scope of its verification. As a result, the Pentagon was able to shorten the process of creating data-driven technological predictions from months to weeks. Those predictions also became more accurate, as Recorded Future allowed them to track which predictions came true to perfect their methodology.

Just as the Department of Defense uses Recorded Future to monitor and forecast protests and unrest, the temporal analytics engine has helped predict disruption in another field, technology. With Recorded Future, analysts can to anticipate, identify, and prepare for technological advancement that is till beyond the horizon, thereby helping the Department of Defense plan, research, and strategize about the future.

This post by AlexOlesker was first published at CTOvision.com.

TAGGED:forecasting
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic
Ai agents
AI Agent Trends Shaping Data-Driven Businesses
Artificial Intelligence Exclusive Infographic
Why Businesses Are Using Data to Rethink Office Operations
Why Businesses Are Using Data to Rethink Office Operations
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

IBM acquires Star Analytics
Analytics

IBM to Acquire Star Analytics for Financial Data Integration

8 Min Read

Forecasting: standard methods

2 Min Read

Data Mining Book Review: Future Ready

2 Min Read

Forecasting Lessons from Heathrow’s Snowpocalypse

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?