Persona Management Ensures Brand Messaging Safeguards Your Reputation
In today’s public sector climate, whether through social media, public affairs, agency announcements, or news reports — misinformation is everywhere. One wrong message can spell disaster:
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A national security official, using an online alias, tweeted critical comments about the presidential administration he was a part of.
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The British Embassy in Washington DC posted a celebration photo of the 200th anniversary of burning the White House.
How Valuable is Data to Government?
Zero-Day Exploits: A Brief History
Of all the types of cybersecurity threats, few are as feared as the zero-day exploit. The term zero-day is used to refer to the fact that the associated software developer or vendor typically had no prior knowledge of the vulnerability in question, and they have zero days to fix it before it is exploited. These types of vulnerabilities can be so damaging that they typically sell for millions of dollars on the dark web or other underground marketplaces.
Six Cryptocurrency Fraud Schemes You Should Know
How Open Source is Driving New Innovations in Data Analytics
Why Automate Data Analytics?
It’s no secret that the world of data is growing at a breathtaking pace. Analytics play a critical role in putting this data in context and ultimately transforming it into useful information. Automation goes a long way in enabling enterprises to achieve and maintain data management scalability.
What is Data Governance and Why is it Important to your Business?

The power that data holds in driving businesses cannot be over-emphasized. Data-driven insights influence most decisions in an organization, and just like your finances, data needs proper management.
Balancing Analytical Approaches in the Real World
There are a plethora of companies out there competing in the analytics space, and data science is the name of the game. However, there is still a need for decision-centric analytics because without domain and business knowledge to direct the more data-centric analytical approach, the direction and relevance of findings can go astray. As entrepreneur and data scientist Damian Mingle said, “Data Scientists open the door.
Keras: Making Deep Learning More Accessible
People often mistakenly use deep learning and machine learning as synonyms. Actually, it would be more correct to consider deep learning a subset of machine learning and about as similar to traditional machine learning as a calculator is to a computer.

