Java IoT Authors: Zakia Bouachraoui, Liz McMillan, Kevin Benedict, Elizabeth White, Yeshim Deniz

Related Topics: Government Cloud, Cloud Security

Government Cloud: Blog Feed Post

Are You Thinking Through System Improvements after the Xmas Terror Attack?

Information technology in the federal enterprise does not work like it does in Hollywood

Government Information Technology on Ulitzer

Information Technology in the federal enterprise does not work like it does in Hollywood.   Although there are plenty of success stories to go around, federal IT is more limited and constrained than we would all want, for lots of reasons. Some of the reasons are just do to complexities and limited budgets.  Some of the reasons are for security.  Some of the reasons are because of  the way the government funds its agencies and manages programs. And some of reasons are because we humans have designed things using the wrong models and implemented them to serve workflows that are flawed to begin with.

This last point is something that I hope enterprise technologists all try to improve on for all our systems.

But perhaps the most important systems to consider improving right now are the ones supporting our national security decision-makers in the field.  These systems will very likely be under review in as part of the investigation into the Xmas terror attack.

There are a huge number of data-focused systems involved that could have been part of stopping this event. The most famous of these are the Terrorist Identities Datamart Environment (TIDE) and the Terrorist Screening Data Base (TSDB).  Other data sources that will need to be scrutinized exist at the Department of Homeland Security, Department of State (especially visa applications), and the intelligence community.

We can expect lots of thought will be put into how many very large enterprise grade data systems interconnect and interoperate together as part of the reviews and after actions underway right now.   I’m sure all concerned in the review of what went wrong in the national security community will realize the problems were not IT and the human element is absolutely the most important to understand.  But still there will be more that systems can smartly do to help humans do right.

I have two recommended pieces of reading for anyone involved in studying what went wrong and how to fix it. Both are from the same thinker, Jeff Jonas. Jeff publishes great thoughts on his blog at: http://jeffjonas.typepad.com, and frankly I recommend all enterprise technologists familiarize themselves with all his writings.  But two pieces stand out as being incredibly relevant to systems design to stop back actors:

Perpetual Analytics and You won’t have to ask– data will find data and relevance will find the user.

In the first piece on Perpetual Analytics Jeff describes the approach to data analytics most organizations find themselves in, where data is extracted from existing systems and secondary analysis is conducted on the extracted data across the entire enterprise whenever a question must be answered.  The ocean must be boiled every time a new analysis is conducted.  This boil the ocean approach does not scale.

He uses the term “perpetual analytics” to “…describe the process of performing real-time analytics on data streams.  Think of this like “directing the rain drops” as they fall into the ocean – placing each drop in the right place and measuring the ripples (i.e., finding relationships and relevance to the historical knowledge). Discovery is made during ingestion and relevant insight is published at that magical moment. ”

Check out the post for more, you will be glad you did, I’m sure.

The other piece I’d recommend you study is You won’t have to ask– data will find data and relevance will find the user .   It highlights a very important shift in approaches to getting the right data to find the right data and make relevance that will find a user. Here is how Jeff put it:

“Next generations of information management systems will not principally rely on users dreaming up smart questions to ask computers. Rather, this new breed of technology will make it possible for data to find itself and relevant discoveries to find the consumer (e.g., a user). And all in real time of course. While this will bring with it new policy debates like which data will be permitted to find which data and who is notified of what relevance, I am going to stay focused in this post on what this technology will enable.”

Another thing all of us who have ever worked in the federal IT business know, it can be very hard to change/improve legacy systems and legacy approaches.  But our existing systems are calling out for improvement, and I’m certain Jeff Jonas is spelling out a model that will improve upon the current approach.

Do you agree?

Related posts:

  1. Protecting Federal Networks Against Cyber Attack
  2. How can we judge enterprise-class CTOs and CIOs? Rank them on the Kundra Scale
  3. Six Enterprise Mega Trends to watch in 2010

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

IoT & Smart Cities Stories
New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Transformation’ demands rapid delivery and continuous iteration of new competitive services via multiple channels, which in turn demands new service delivery techniques – including DevOps. In this power panel at @DevOpsSummit 20th Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, panelists examined how DevOps helps to meet the de...
According to Forrester Research, every business will become either a digital predator or digital prey by 2020. To avoid demise, organizations must rapidly create new sources of value in their end-to-end customer experiences. True digital predators also must break down information and process silos and extend digital transformation initiatives to empower employees with the digital resources needed to win, serve, and retain customers.
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, will provide an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life ...
Smart Cities are here to stay, but for their promise to be delivered, the data they produce must not be put in new siloes. In his session at @ThingsExpo, Mathias Herberts, Co-founder and CTO of Cityzen Data, discussed the best practices that will ensure a successful smart city journey.
"Space Monkey by Vivent Smart Home is a product that is a distributed cloud-based edge storage network. Vivent Smart Home, our parent company, is a smart home provider that places a lot of hard drives across homes in North America," explained JT Olds, Director of Engineering, and Brandon Crowfeather, Product Manager, at Vivint Smart Home, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
LogRocket helps product teams develop better experiences for users by recording videos of user sessions with logs and network data. It identifies UX problems and reveals the root cause of every bug. LogRocket presents impactful errors on a website, and how to reproduce it. With LogRocket, users can replay problems.
@CloudEXPO and @ExpoDX, two of the most influential technology events in the world, have hosted hundreds of sponsors and exhibitors since our launch 10 years ago. @CloudEXPO and @ExpoDX New York and Silicon Valley provide a full year of face-to-face marketing opportunities for your company. Each sponsorship and exhibit package comes with pre and post-show marketing programs. By sponsoring and exhibiting in New York and Silicon Valley, you reach a full complement of decision makers and buyers in ...
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
Data Theorem is a leading provider of modern application security. Its core mission is to analyze and secure any modern application anytime, anywhere. The Data Theorem Analyzer Engine continuously scans APIs and mobile applications in search of security flaws and data privacy gaps. Data Theorem products help organizations build safer applications that maximize data security and brand protection. The company has detected more than 300 million application eavesdropping incidents and currently secu...
Rafay enables developers to automate the distribution, operations, cross-region scaling and lifecycle management of containerized microservices across public and private clouds, and service provider networks. Rafay's platform is built around foundational elements that together deliver an optimal abstraction layer across disparate infrastructure, making it easy for developers to scale and operate applications across any number of locations or regions. Consumed as a service, Rafay's platform elimi...