Tag Archives: AI

AI can uncover untapped market opportunities through collaboration among technology sponsors, developers, communities and data providers. Without such collaboration, biases may creep into even well-intended algorithms and alter automated insights. Sixsense Revenue AI for Sales can help streamline workflows and identify untapped sales opportunities quickly and accurately. It reveals accurate intent data and prioritizes accounts so sellers can act swiftly. …

Automated Trading Platforms and Artificial Intelligence are revolutionizing the world of trading. Their technology enables investors to easily track and analyze trading data more quickly, which in turn allows for faster decisions making processes and better results overall. Emotions can often interfere with trades and lead to losses. With Simulated Matching Engines users can link their broker accounts and create …

AI chatbots (also referred to as smart agents or virtual support assistants) powered by advanced machine learning are increasingly dominating customer service industries – think Apple Siri and Amazon Alexa as two examples. These intelligent bots assist customers by providing step-by-step instructions to place orders, while others increase the average order value by cross-selling products that complement existing items in …

Integrating AI solutions into their compliance processes enables organizations to avoid expensive fines and legal action while upholding integrity while protecting client privacy. Compliance with regulatory compliance often involves complex and time-consuming documentation. Many regulations have strict reporting guidelines and timeframes which, if not adhered to, incur heavy fines if not met. Real-Time Insights Real-time insight is vital for businesses …

Trading teams can use artificial intelligence (AI) to automate tasks, improve performance, and achieve greater ROI. But they should keep certain considerations in mind before undertaking such initiatives. AI systems can analyze large datasets that humans cannot, identifying patterns that could lead to profitable trades and eliminating emotional decision-making that can potentially disrupt investments. Real-time data analysis Real-time data analysis …

AI technology is increasingly impacting every modern industry – including finance, national security, health care, criminal justice and transportation. Media attention may focus on self-driving cars or chess-playing computers but AI’s impact extends far beyond them. AI is now having an effect on finance, national security, healthcare, criminal justice and transportation services among others. Value investors rely on emotional discipline, …

As institutions adopt AI technologies, they should assess whether existing policies still apply and may need new documentation. Institutions should also evaluate whether their AI systems comply with any antidiscrimination regulations in effect at that time. AI/ML systems may produce unfair or discriminatory outcomes if implemented incorrectly, leading to regulatory noncompliance issues, lawsuits and reputational risks. Machine Learning Machine learning …

Machine learning algorithms can be beneficial in quickly and accurately analyzing large amounts of data to detect trading patterns that people cannot see, then replicating them for intelligent trading strategies. They also automate trading processes while managing risks. Quality data used in training a machine learning strategy is of utmost importance. A high-quality dataset is necessary to avoid overfitting and …

B2B SaaS marketers must understand their buyers’ sentiments – both positive and negative – to devise effective demand generation strategies. Social media sentiment analysis is an invaluable way of gathering valuable data that will fuel business expansion. Buyers frequently express their views about various products through comments, tweets and posts on various social platforms such as Twitter or Instagram. Such …

AI can enhance trading results in many ways, yet there are certain limitations and challenges associated with its use that must be considered before proceeding with AI trading strategies. These include data quality/availability issues, ethical concerns, and the requirement for continual improvements. These algorithms enable investors to take advantage of arbitrage opportunities that last only fractions of a second – …