Sandi Besen | Source | Applied Artificial Intelligence Researcher at IBM

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Sandi Besen

Applied Artificial Intelligence Researcher at IBM
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By day, I'm an Applied Data Scientist, taking the latest AI research and tackling real enterprise challenges with it, turning theory into action. At night, I swap code for words, advising AI startups, writing articles, and creating content that strips away the intimidation factor of AI making it super relatable. My goal is to transform those 'AI is too complex' fears into 'I’ve got this' moments.

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  • AI's Role in Predicting Superbowl Outcomes: Insights from IBM Expert
    Sandi explains that while AI models can aid in sports predictions, chatbots like ChatGPT aren't ideal for predicting game outcomes. They provide likely text outputs, not probabilities. AI can summarize betting tips but isn't a substitute for informed decision-making. Advanced statistical models, however, are integral to sports strategies, guiding decisions in major leagues.
  • AI Agents: Transforming Workflows and Personal Productivity
    Sandi explains that AI agents, "enhanced language models with specialized roles," are essential for modern enterprises. They enable systems to take actions, transforming workflows from human-driven to human-aware. While still in the proof of concept phase, AI agents promise to reshape industries, necessitating significant workforce reskilling.
  • AI Sentiment Analysis Revolutionizes Election Polling
    Sandi explains, “Sentiment analysis, a subset of NLP, categorizes text into sentiments like 'positive' or 'negative.' This AI tool analyzes online comments, surveys, and tweets to gauge public opinion on candidates and policies, offering a more nuanced view than traditional polls.”
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