How Far are Swiss Enterprises in Adopting OpenAI’s GPT Models?
OpenAI’s large language models, such as GPT-4 and ChatGPT, have the potential to revolutionize customer experience and boost economic productivity … Read more
AI in Finance
The role of AI in finance is to use artificial intelligence technologies to automate and improve financial processes and decision-making. AI can be used in a wide range of finance-related tasks, including risk assessment, fraud detection, portfolio management, and trading. For example, AI-powered systems can analyze large amounts of data to identify patterns and trends that may indicate potential risks or fraudulent activity. In portfolio management, AI can be used to automatically rebalance a portfolio based on changing market conditions and the investor’s risk tolerance. In trading, AI-powered systems can make decisions about buying and selling securities in real-time, based on market conditions and pre-defined trading strategies. Overall, the use of AI in finance has the potential to improve efficiency, reduce costs, and enhance the accuracy and speed of financial decision-making.
ChatGPT Prompt Engineering Guide: Practical Advice for Business Use Cases
As businesses continue to embrace the power of conversational AI, the ability to craft effective prompts for ChatGPT has become … Read more
Using LLMs (OpenAI’s ChatGPT) to Streamline Digital Experiences
In the age of information overload, finding what you need quickly and efficiently is more important than ever. OpenAI’s GPT … Read more
What is the Business Value of ChatGPT and other Large Generative Language Models?
OpenAI’s GPT models, such as Davinci and ChatGPT, have gained recognition for their impressive language generation abilities. However, many of … Read more
9 Business Use Cases of OpenAI’s ChatGPT
You haven’t had enough of the recent hype about OpenAI? Fantastic! Let’s explore the business use cases for ChatGPT and … Read more
How to Use Hierarchical Clustering For Customer Segmentation in Python
Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more … Read more
Univariate Stock Market Forecasting using Facebook Prophet in Python
Have you ever wondered how Facebook predicts the future? Meet Facebook Prophet, the open-source time series forecasting tool developed by … Read more
On-Chain Analytics: Metrics for Analyzing Blockchains in Python
Cryptocurrencies like Bitcoin or Ethereum are built on public blockchains, meaning anyone can see the transactions and trades happening on … Read more
Feature Engineering and Selection for Regression Models with Python and Scikit-learn
Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients … Read more
Unveiling Hidden Patterns in the Cryptocurrency Market with Affinity Propagation and Python
Affinity propagation is a powerful unsupervised clustering technique that can identify hidden patterns in large datasets. In the cryptocurrency world, … Read more
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the … Read more