Institutional Investor (May 5)
“The adoption of technology, including blockchain, artificial intelligence, and big data, has made it possible for private-equity and hedge-fund managers to reduce their fees, placing competitive pressure on rivals still using a traditional fee model.”
Tags: Adoption, AI, Big Data, Blockchain, Competitive pressure, Fees, Hedge-fund, Private equity, Rivals, Technology
Institutional Investor (August 21)
Black swan events “will continue to jolt global markets. But when even the best of human forecasters struggle to predict with accuracy the outcomes of these events, how can pension plans, for example, effectively make decisions to better weather the volatility that follows.” Big data may hold the key. “Using big data to track media sentiment, volume, tone and correlation can help institutional investors understand the diffusion of ideas and outliers that can serve as clues for unexpected risk.”
Tags: Accuracy, Big Data, Black swan, Correlation, Diffusion, Forecasters, Global markets, Human, Jolt, Outcomes, Outliers, Pension plans, Sentiment, Unexpected risk, Volatility
Institutional Investor (June 1)
Nearly a decade after the financial crisis, financial institutions still face challenges. However, the “savvy” ones are simplifying their structures and realizing efficiency gains. “For the past nine years, investments have poured into regulatory compliance and reporting initiatives. The rapid development of disruptive technologies such as robotics and artificial intelligence is helping firms automate many of those processes and redirect their energy toward growth activities. Big data, analytics and digital technology shed light on what they do best—and most profitably—and enhance the customer experience.”
Tags: AI, Analytics, Big Data, Challenges, Customers, Digital technology, Disruptive technologies, Efficiency, Energy, Financial Crisis, Growth, Investments, Profit, Regulatory compliance, Reporting, Robotics, Savvy
CFO.com (October Issue)
“After years of treating Big Data almost exclusively as a way to aid marketers and drive revenue, companies are starting to explore its risk management capabilities. Increasingly, they’re looking for patterns in their internal emails and audio files and on social media to spot and avert a plethora of potential risks.”
Tags: Audio files, Big Data, Capabilities, Emails, Marketers, Patterns, Revenue, Risk management, Social media
