Published on May 9th, 2023 Machine learning (ML) has become increasingly important in the world of quantitative finance, as financial market players seek to leverage the latest technology to gain a competitive edge. By using advanced algorithms and models to...
Guest post by Konrad Sowa, PhD Researcher and VC Associate at Kozminski University & SMOK Ventures. Generative AI is everywhere by now and it doesn't look like it's going away. Although, despite rapid technical advancements, its widespread adoption has been...
While digital fluency may involve some aspects of data fluency, digital fluency is a broader concept that encompasses a range of skills such as using software applications, navigating platforms, and optimizing workflows via digital means. Data fluency, considered to...
The Evolution of Women’s History Month The First International Women’s Day was celebrated on March 8, 1911, and would later evolve into what it is today- an annual, month-long, international celebration of Women’s History. In the late 1960’s an activist named Laura X...
A large number of organizations have been generating and collecting data for a while now – only to realize that it does not take data assets long to convert into a liability if not treated well. Despite building the best infrastructure platform and possessing the...
This article discusses the needs and challenges of enterprise AI for product innovation based on Winnie Cheng’s presentation at Data Science Salon NYC on the same topic. Winnie Cheng is a director of AI in PWC’s innovation hub with more than 20 years of experience in...
Getting an E-Commerce system to function reliably is not a trivial task. It is a sophisticated ecosystem that involves understanding complex dynamics between the customers, products, fulfillment methods, inventory planning, pricing, etc. For instance, take product...
The universe of machine learning (ML) and its applications is expanding at an ever-increasing rate and there is hardly any industry that is not leveraging the power of sophisticated and cutting-edge algorithms to foster business growth. Solutions using Artificial...
Picture this: On average, organizations lose about $12.9 million due to poor data quality. While the short-term impact is on the revenue, the long-term effect of insufficient data is poor decision-making and data ecosystems’ complexities. The solution? A robust...
Before getting into the details of an Artificial Intelligence (AI) Strategy, let’s first set the foundation to understand what a strategy is. A strategy is the roadmap of the enterprise goals or tasks that a business must achieve. But what are these goals, and how do...