Tag: data

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Cyberinfrastructure Education Reading

Latest Read: Code of Honor

The Code of Honor: Embracing Ethics in Cybersecurity by Ed Skoudis and Dr. Paul J. Maurer.

The Code of Honor: Embracing Ethics in Cybersecurity by Paul J. Maurer and Ed Skoudis

Ed holds a BS in Electrical Engineering from the University of Michigan and a MS in Information Networking from Carnegie Mellon. Today he is the President of the SANS Technology Institute. Paul holds a M.Div.from Gordon-Conwell Theological Seminary and PhD in Political Science from Claremont Graduate University. Today he is the President of Montreat College.

I found this to be one of the most insightful books on cybersecurity and a must read for anyone in the fields of IT, AI, or IR. Jon outlines key elements for cybersecurity teams to X: Espionage (Bletchley Park), Sabotage (Stuxnet), Subversion (2016 US Election Interference), and Cyber Power (China).

It is very welcoming to see Mariano addressing machine learning for predictive cybersecurity. Mariano introduces statistical methods and machine learning easily accessible to security teams with Bayesian inference. Examples predictive detection, anomaly identification, and early warning signs is proving how AI is moving any cybersecurity program from reactive to proactive.

Mariano is including Python scripts and Jupyter-based workflows, providing technically savvy security teams a direct path to experimentation and deployment in their internal test deployments.

This book certainly provides cybersecurity teams with a practical roadmap for driving a data-driven mindset. This can be an excellent resources for organizational leaders to understand business in the age of aggressive malware and data breach announcements.

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Cyberinfrastructure Education Innovation Reading

Latest Read: Data-Driven Cybersecurity

Data-Driven Cybersecurity: Reducing risk with proven metrics by Mariano Mattei.

Data-Driven Cybersecurity Reducing risk with proven metrics by Mariano Mattei

Mariano holds a Masters in Cyber Defense and Information Security from Temple University. She is the former Director Governance, Risk, and Compliance at Layer 8 Security, and CISO at Mattei. Today Mariano is VP Cybersecurity and CISO at Azzur.

It is very welcoming to see Mariano addressing machine learning for predictive cybersecurity. Mariano introduces statistical methods and machine learning easily accessible to security teams with Bayesian inference. Examples predictive detection, anomaly identification, and early warning signs is proving how AI is moving any cybersecurity program from reactive to proactive.

Mariano is including Python scripts and Jupyter-based workflows, providing technically savvy security teams a direct path to experimentation and deployment in their internal test deployments.

This book certainly provides cybersecurity teams with a practical roadmap for driving a data-driven mindset. This can be an excellent resources for organizational leaders to understand business in the age of aggressive malware and data breach announcements.

Continue reading “Latest Read: Data-Driven Cybersecurity”
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Artificial Intelligence Education Innovation Reading

Latest Read: Algorithms and Data Structures for Massive Datasets

Algorithms and Data Structures for Massive Datasets by Dzejla Medjedovic and Emin Tahirovic.

Algorithms and Data Structures for Massive Datasets by Dzejla Medjedovic, and Emin Tahirovic

Dzejla holds a PhD in Computer Science from Stony Brook University and currently serves as a Vice President of Data at Social Explorer. Emin holds a MS in Theoretical Computer Science from Goethe University and a PhD in Biostatistics from the University of Pennsylvania. He is a faculty member at the International University of Sarajevo. Together, Dzejla and Emin are leveraging their expertise in algorithms, data structures, and statistics to provide insights into managing massive datasets.

We now live is a world beyond big data. Today data lakes at petabyte and exabyte scale are common. Zettabyte cannot be very far away. Unlike traditional data warehouses, data lakes in fact accommodate structured, semi-structured, and unstructured data from various sources.

Dzejla and Emin are certainly providing a complex topic in a friendly manner to make complex concepts easy to understand. Readers will learn about deploying the correct type of database solution for your organization’s applications. This was a very enjoyable book to read.

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Education Reading

Latest Read: Judgement Calls

Judgement Calls: Twelve stories of big decisions and the teams that got them right by Thomas H. Davenport.

Judgment Calls: Twelve Stories of Big Decisions and the Teams That Got Them Right by Thomas H. Davenport

Tom Davenport holds a Master’s degree in Sociology and a PhD in Sociology from Harvard. He is Chair in Information Technology and Management at Babson College.

He is a Research Fellow at the MIT Initiative on the Digital Economy and a Senior Advisor to Deloitte’s Analytics and AI Practice. As a former visiting Professor at the Saïd Business School, University of Oxford, and the Harvard Business School, Tom was well positioned as Co-founder of the International Institute for Analytics.

In exploring critical decision-making processes within organizations, Tom is presenting twelve case studies. Judgement Calls reveal how teams address complex decisions and how to improve those outcomes. Key components include collaboration, data-driven insights, and effective leadership. Readers will discover those frameworks and methodologies which can improve your organization’s decision-making by embracing a structured processes.

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