According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...
Yes or no? It's a simple question that now drives more than US$13 billion (£9.7 billion) a month on prediction ...
Abstract: Accurate stock forecasting in the Thai capital market remains challenging due to high volatility and pronounced non -linear dynamics in financial time-series. This study conducts a ...
Alphabet is the parent company of Google, YouTube, Waymo, DeepMind, and more. The company is using AI to transform its core businesses, and it's having an incredible amount of success. I think ...
The recent sell-off in AI stocks is an opportunity for investors to buy solid companies, including this infrastructure company. Massive investments in AI data center infrastructure have supercharged ...
AWS is both Amazon's largest segment by profitability and its fastest-growing. The segment saw its revenue growth accelerate in the quarter, with AWS revenue climbing 24% to $35.58 billion. It was the ...
Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...
Looking ahead to 2030, our model projects TSLA could trade at an average price of $286.54, with a potential range between $214.91 and $358.18. This represents a potential 29.9% decline from today's ...
An end-to-end Machine Learning web application that predicts customer churn using Scikit-learn and serves real-time predictions through a Django REST API with a web-based UI.
Familiar Super Bowl foes meet when the Seattle Seahawks battle the New England Patriots in the 2026 Super Bowl on Sunday, Feb. 8. Seattle advanced with a 31-27 win over the Los Angeles Rams in the NFC ...
APA Corp. remains a buy, driven by efficiency gains, robust FCF, and underappreciated long-term catalysts like Suriname’s GranMorgu project. APA’s shift to a high-efficiency harvest model in the ...