As digital wallets like Apple Pay and PayPal become increasingly popular, businesses are facing new challenges in managing accurate customer data. While these wallets provide convenience, they can also introduce errors in the stored data, such as outdated addresses or incorrect payment details, which can lead to missed deliveries or billing issues.What Is Data Quality?Data … [Read more...] about The Importance of Data Quality in the Age of Digital Wallets
data cleansing
Preparing Finance Data for AI: A 5-Step Data Cleansing Checklist
AI implementation is a common practice for financial organizations looking for predictive analytics to enhance their decision-making and minimize business risks. However, the integrity of finance data used to train the AI/ML models plays an important role in ensuring the reliability of its outcomes. This is because AI algorithms need an immense amount of data to learn, evolve, … [Read more...] about Preparing Finance Data for AI: A 5-Step Data Cleansing Checklist
Addressing Bias in AI Algorithms: The Overlooked Role of Data Migration Services
Artificial Intelligence (AI) bias occurs when the AI models produce erroneous results that reflect human biases. It could result from historical societal bias, existing social inequality, or poor quality of data used for training AI models. After all, the performance of AI models depends on the size, quality, and objectivity of the training data and systemic biases that … [Read more...] about Addressing Bias in AI Algorithms: The Overlooked Role of Data Migration Services
9th Data Management ThinkLab in Prague
The most engaging data management event of 2024 is going to happen in Prague! Yes, you read that right - this time, we are hosting our event right in the heart of our ThinkLinkers headquarter in the most charming city of Europe!' ' This is an event that puts in the spotlight the value of Data and celebrates YOU, Data Management professionals, as agents of change, set to … [Read more...] about 9th Data Management ThinkLab in Prague
Data Cleaning and Preparation for AI Implementation
Artificial Intelligence and allied technologies such as Machine Learning, Neural Networks, Natural Language Processing, etc. can influence businesses across industries. By 2030, AI is believed to have the potential to contribute about $13 trillion to global economic activity. And yet, the rate at which businesses are adopting AI is not as high as one would expect. The … [Read more...] about Data Cleaning and Preparation for AI Implementation
