Using Data Science Techniques to Promote Cross-Selling Opportunities and Understand Client Needs
Explore market basket analysis and sentiment analysis for identifying cross-selling opportunities and understanding client needs in this data science presentation.
What AI Can See From Space Is Troubling
Explore the capabilities of Sentient, a top-secret AI system using satellite data to make global predictions, and its potential implications for society and privacy.
Big Data Analytics with AI: Enhancing Pandas for Advanced Data Processing
Revolutionize data analysis by merging Pandas with AI. Automate cleaning, create smart visualizations, and perform predictive analytics using OpenAI's language models.
How to Build Your Brand Using AI
Discover AI's transformative role in branding: enhancing customer experiences, personalizing strategies, and boosting brand identity through predictive analytics and dynamic content creation.
Adding Machine Learning to Applications via Simple Database Queries
Discover how to integrate ML into applications using familiar SQL queries in Google Cloud's database and analytics products, no prior ML experience required.
AI and the Future of Business Analytics
Explore AI's impact on business analytics, covering trends, insights, and expert perspectives on leveraging AI for improved software development and data analysis.
Building an AIOps Platform at Enterprise Scale with Google Cloud
Develop an enterprise-scale AIOps platform using Google Cloud tools to optimize infrastructure, predict issues, and automate remediation for improved efficiency and cost control.
VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models
Explore interactive visualization for comparing and selecting predictive models, integrating performance, instance, and feature-level analysis to support informed decision-making in machine learning.
Covariate Shift - Challenges and Good Practice in Machine Learning
Explore challenges and best practices in covariate shift, a crucial concept in machine learning, with insights on improving model performance and adaptability in changing data distributions.
Predictive ML - How Unilever is Improving its Forecasting
Unilever's reusable predictive framework improves forecasting processes using ML models, enhancing manual predictions and filling gaps for various business metrics at different granularity levels.
Machine Learning for Developers
Learn to implement predictive capabilities and voice recognition in your applications, understanding machine learning concepts and challenges without needing to be a data scientist.
Machine Learning for Developers
Explore predictive capabilities and voice recognition for developers. Learn to build smart apps using AWS Machine Learning and Amazon Alexa, enabling voice-powered experiences and custom skills.
Forecasting Development Timelines - Bringing Accuracy and Predictability to Software Projects
Optimize product roadmap management using historical data for precise delivery forecasts. Explore Cardagraph's innovative technique to enhance project planning and fulfill commitments confidently.
Leveraging ML in Multi-Family Real Estate Industry: From Predicting Rentals to Streamlining Operations
Explore innovative ML applications in multifamily real estate, from predicting renter trends to optimizing maintenance. Learn how data-driven strategies enhance property management and operations.
Unleashing the Value of Customer Intent with Intelligent Interventions
Explore AI/ML techniques to understand customer intent, reduce session abandonment, and enhance online retail experiences through data-driven interventions.
AI for Hospitals at Scale - Building and Deploying Machine Learning Models in Healthcare
Discover how machine learning models are trained and deployed across hospitals, focusing on zero-shot learning for patient deterioration prediction and scalable microservice architecture for healthcare applications.
Cisco XDR Detection Analytics and Generative AI in Cybersecurity
Discover how Cisco XDR leverages generative AI and advanced analytics to enhance threat detection, correlation, and response capabilities in modern cybersecurity environments.
The Essentials of Evaluating LLM Systems
Master practical techniques for evaluating LLM systems, from defining criteria and selecting evaluators to implementing heuristic models and conducting nuanced assessments for enterprise AI applications.
Analyzing Science Fiction Hacking vs Real-World Cyber Attacks - A Comparative Study
Explore the fascinating relationship between science fiction and real-world hacking through analysis of 200 fictional and 800 real cyberattacks, revealing predictive patterns and societal impacts.
OSINT for Physical Security Intelligence - Rapid Data Collection and Analysis
Master efficient OSINT techniques for physical security, focusing on rapid intelligence gathering, predictive analysis, and actionable insights for critical situation assessment and risk management.
Predictive NPS (pNPS) - Using Machine Learning to Generate Customer Satisfaction Scores
Discover how machine learning transforms NPS surveys into comprehensive customer satisfaction predictions, enabling proactive engagement and scaled-up business growth opportunities.