Insuring the Digital Revolution
Explore the digital transformation of the insurance industry with Allianz Technology CEO Barbara Karuth-Zelle, discussing challenges, opportunities, and strategies for established players to thrive in this evolving landscape.
Is Crypto the Future of Banking?
Explore the future of banking with Revolut's CEO as he discusses crypto integration, institutional involvement, and the evolving landscape of digital finance.
Pulling Back the Crypto Curtain
Unraveling crypto mysteries: Actor Ben McKenzie and journalist Jacob Silverman explore the industry's darker corners, financial realities, and survival prospects in the latest crypto winter.
Diversity, Equality and VC
Explore strategies to increase diversity in venture capital, addressing funding disparities for underrepresented groups and proposing solutions for a more inclusive industry.
How the Fusion of Adtech and Fintech Will Disrupt the Marketing Industry
Explore how adtech and fintech integration revolutionizes direct-to-consumer experiences, focusing on the automotive industry's online customer journey and seamless purchasing processes.
Striving for Ultimate Low Latency
Explore techniques for achieving ultra-low latency in C++ programming, focusing on high-frequency trading and market data processing. Learn optimization strategies and pitfalls to avoid.
C++11 - High-Level Threading
Explore C++11's high-level threading capabilities, including locks, mutexes, and futures. Learn to solve common threadsafe programming challenges using these components.
Linear Programming Made Easy with Boost Proto
Linear programming optimization using Boost Proto. Learn to model and solve complex decision problems efficiently with CVX++, a declarative domain-specific language embedded in C++.
HPX - A C++ Runtime System for Parallel and Distributed Computing
Explore HPX, a C++ runtime system for parallel and distributed computing. Learn about its innovative approach to multi-core processing, asynchronous task execution, and scalable addressing for high-performance applications.
Argot - Simplifying Variants, Tuples, and Futures
Explore Argot, a library simplifying complex operations with tuples, variants, and futures in C++. Learn powerful techniques to enhance code readability and efficiency in handling these abstractions.
Parallelism on Ranges - Should We?
Explore parallelizing C++ ranges, discussing implementation challenges, algorithmic fusion, and potential benefits using HPX library examples. Insights on combining composability with performance in modern C++.
What is Low Latency C++? - Part 1
Explore low latency C++ across industries, examining challenges and techniques for efficient programming in time-critical systems like finance, audio, and gaming.
What is Low Latency C++? - Part 2
Explore advanced C++ techniques for low-latency systems, covering CPU caching, data structures, concurrency, and memory management to optimize performance in finance, audio, and gaming.
Applicative - The Forgotten Functional Pattern in C++
Explore the powerful applicative pattern in C++, its practical applications, and how it enhances code simplicity and composability across various programming scenarios.
Derivatives Analytics with Python & Numpy
Explore financial derivatives analytics using Python and NumPy, focusing on efficient implementation and practical applications in quantitative finance.
Derivatives Analytics with Python & Numpy
Explore financial derivatives analytics using Python and NumPy, focusing on efficient implementation and practical applications in quantitative finance.
Python for Finance Part 1
Learn to leverage Python for financial analysis, modeling, and algorithmic trading. Explore practical applications in quantitative finance and risk management.
Python for Finance Part 2
Explore advanced Python applications in financial analysis, modeling, and algorithmic trading strategies for enhanced investment decision-making.
Probabilistic Programming in Python
Learn probabilistic programming in Python using PyMC3 for flexible statistical modeling, automated parameter estimation, and uncertainty quantification in data science and scientific research.
Lessons Learned with Asyncio - Look Ma, I Wrote a Distributed Hash Table
Explore asyncio for concurrent programming in Python, focusing on event loops, coroutines, futures, and networking. Learn through a distributed hash table implementation example.
Better Asynchronous Code with Tornado and Python 3
Explore asynchronous programming with Tornado and Python 3.4's asyncio module. Learn about coroutines, futures, and ioloop concepts for efficient concurrent event-driven code in web development.