Predicting Exploitability - Forecasts for Vulnerability Management
Discover how machine learning models can predict vulnerability exploits with 90% accuracy, enhancing security forecasting and vulnerability management strategies.
Big Data Technology - The Real World Minority Report
Explore big data's role in cybersecurity, including network analysis, domain reputation, and machine learning techniques for threat detection and prevention.
Justice for Sale
Exploring how technology can address inequalities in the criminal justice system, focusing on mass incarceration and providing affordable legal tools to balance access to justice.
Playing the Short Game - The Effects of Data Breaches on Share Prices
Explore the financial impact of data breaches on public companies through stock price analysis, examining trends and predictive models to understand the true cost of security shortfalls.
Cognitive Automation With Machine Learning In Cybersecurity
Explore cognitive automation and machine learning in cybersecurity, covering risk analytics, threat detection, and incident management. Learn how ML enhances fraud detection and security operations.
Strike a Pose - Gesture Recognition in JS with Machine Learning
Explore gesture recognition using JavaScript, Arduino, and machine learning to create intuitive human-technology interactions. Learn to build a simple system for smarter, adaptive experiences.
Making Friends With Artificial Intelligence
Eric Horvitz explores the human-centric future of AI, discussing how computational systems will complement human cognition, anticipate needs, and help us prepare for surprises in supportive ways.
The People Analytics Revolution is Coming – Are You Ready?
Explore the People Analytics Revolution: how AI and machine learning are transforming hiring and workforce management, balancing data with human intuition for better decision-making in talent acquisition and retention.
Apps Are Making Us Dumber
Explore the impact of proactive design on user experience, decision fatigue, and cultural shifts. Learn to create anticipatory software and distraction-free interfaces in this thought-provoking talk.
The Mathematician Who Cracked Wall Street
Explore how mathematician Jim Simons applied complex math to finance, revolutionizing Wall Street and using his success to support math education and scientific research.
Babar-ians at the Gate - Data Protection at Massive Scale
Explore data protection challenges and solutions for Big Data environments, focusing on security considerations for Hadoop and emerging vulnerabilities in large-scale data management systems.
2016 Predictions and How History Repeats Itself
Explore cyber predictions, hacking motivations, and industry trends with insights on threat intelligence, zero-day attacks, and the encryption debate.
Predictive Analytics and Machine Learning - Real Use Cases for IT Security Professional
Explore real-world applications of predictive analytics and machine learning in IT security, covering data mining, modeling techniques, and practical implementation strategies.
Data Science for Business - Repeatable and Objective Data Science Process
Explore the Team Data Science Process (TDSP) for efficient predictive analytics and AI integration in business processes, focusing on agile methodology and practical implementation strategies.
Turbocharging DevOps with AI Adventures
Explore AI-powered DevOps innovations and their impact on software development processes, enhancing efficiency and productivity in modern tech environments.
Predictive Testing in JavaScript with Machine Learning
Applying machine learning to JavaScript testing for efficient test selection, reducing unnecessary runs and improving overall testing effectiveness.
Rise of the Machines
Explore machine learning and predictive analytics with Azure ML in this primer, led by Microsoft's Director of Architecture Josh Holmes.
The Next Evolution of Intelligent Assistants
Explore the future of AI assistants with experts as they discuss anticipating user needs and predicting behaviors in this forward-looking talk.
Everyone Can Do Data Science in Python
Learn essential data science techniques using Python, numpy, pandas, and sklearn. Explore real-world use cases with code snippets and live demos in IPython notebooks.
What's the Fuzz All About - Randomized Data Generation for Robust Unit Testing
Explore randomized data generation for robust unit testing using the Hypothesis library in Python, enhancing test coverage and detecting potential bugs through dynamic testing approaches.
Improving Data Analytics with Azure Machine Learning
Explore Azure Machine Learning for data analytics, from data classification to model selection, integration, and deployment in Data Factory pipelines, enhancing decision-making and insights.