Augmented Intelligence Can Improve Your Market Performance
If your portfolio performance is middle of the pack or it’s been difficult to shift through the noise, you’re not alone. Predicting and forecasting financial performance for an individual company, let alone across an entire portfolio, presents significant challenges. Current models, methodology, and data sources may contain legacy bias, institutional inputs can create inconsistencies in predictions over time, and a noisy market makes it difficult for traditional data science to filter out the noise and predict and forecast market performance. The key to creating an accurate financial forecast and decision intelligence is understanding what data is important and what is not.
Running dynamic predictive analytics models used to take a team of scientists, weeks of data setup, and millions of dollars in investment. Squark AI understands these challenges and we’ve set out to help fund managers, portfolio managers, and analysts understand and deploy AI and AutoML to create a massive advantage in financial predictive forecasting and attribution.
