POSTS TAGGED : AI

Vivek Shah: How Does RLHF Work for LLM Training?

RLHF for LLM training

Key Takeaways

  • RLHF uses human feedback to make large language models sound more accurate, helpful, and natural.
  • The process starts with human-created prompts and supervised fine-tuning of model responses.
  • A reward model then helps the AI evaluate and improve its own outputs over time.
  • RLHF is used beyond text, including in robotics, games, and other generative AI systems.
  • While powerful, RLHF is limited by the subjectivity and potential bias of human feedback.
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Michael A. Bozett: Perspectives on AI and Digital Tools in Wealth Management

Wealth management automation tools

Key Takeaways

  • Artificial intelligence is becoming a central tool in wealth management for portfolio analysis, risk detection, and decision support.
  • AI helps automate routine client service tasks, freeing advisors to focus on higher-value and more personalized work.
  • Digital platforms and cloud-based tools are now expected by younger clients who want real-time access to financial information.
  • Despite its power, AI cannot replace human judgment, empathy, and nuanced decision-making in investment management.
  • Firms that resist adopting modern technology risk losing clients who expect advanced digital experiences and analytics.
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Melody Fallah Khair: Autonomous Networks and Cognitive Connectivity across Platforms

Autonomous networks

Key Takeaways

  • Autonomous networks use AI and analytics to monitor, secure, and optimize themselves with minimal human input.
  • Traditional network management struggles with scalability, cost, and response time challenges.
  • Communication service providers are leading adoption due to growing network complexity and data volumes.
  • End-to-end automation requires deeper AI integration tied to specific operational use cases.
  • Cognitive, agent-driven autonomy represents the next evolution of intelligent network infrastructure.

Melody Fallah Khair is a Silicon Valley technology executive with more than two decades of experience designing and scaling advanced networking and cloud platforms. Melody Fallah Khair currently leads research and standards initiatives for cloud and network services at Nokia, where her work focuses on autonomous edge networks, AI-native architectures, and next-generation 5G and 6G connectivity.…

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King Vanga: Why Law Firms That Ignore AI Risk Obsolescence

Law firm AI

Key Takeaways

  • AI is now a foundational part of legal workflows, not an emerging add-on.
  • Unstructured adoption creates risks, especially around accuracy and confidentiality.
  • Governance, documentation, and human verification are essential for responsible AI use.
  • Firms with structured AI oversight gain a competitive advantage with clients.
  • Legal education is evolving to prepare lawyers for hybrid human-AI practice.
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Chris Conover of Hudson Valley: Practical Insights on AI in Modern Finance

AI in finance and wealth management

Key Takeaways

  • Chris Conover of Hudson Valley emphasizes practical applications of AI in finance for efficiency and transparency.
  • Automation through AI reduces manual workloads via tools like natural language processing and optical character recognition.
  • AI enhances trading by enabling real-time data analysis and faster, more accurate decision-making for financial professionals.
  • Risk management benefits from AI’s ability to detect fraud, anomalies, and irregularities using live data instead of historical trends.
  • AI-driven customer service tools, including chatbots and virtual assistants, improve client engagement and access to information.
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CEO and AI Adoption: Are you Curious or Concerned?

CEO AI adoption

Key Takeaways

  • Sitting on the sidelines may feel safe, but risks leaving your business behind as competitors advance with AI adoption.
  • AI offers practical benefits for small businesses, including efficiency gains, data-driven insights, and stronger customer experiences.
  • Adopting AI doesn’t require a full transformation – CEOs can start small and scale gradually.
  • Successful CEOs treat AI as a strategic partner, aligning tools with business goals and team strengths.
  • Curiosity should lead to exploration – controlled adoption today builds a long-term competitive advantage.
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Beyond the Ball: Reed Harradine on Technology in Soccer

Soccer technology

Key Takeaways

  • Reed Harradine, an elite goalkeeper and scholar athlete, brings unique insights into how technology is transforming soccer.
  • Key innovations like goal-line technology, VAR, and AI are enhancing fairness, accuracy, and performance analysis in the game.
  • AR, VR, and wearable tech are improving both training methods and fan engagement with immersive, data-rich experiences.
  • Data analytics and GPS/LPS systems help coaches optimize strategy, training loads, injury prevention, and player recruitment.
  • Even off-field elements like sleep tracking and smart stadiums contribute to a holistic, tech-driven evolution of modern soccer.

Reed Harradine is a scholar athlete whose years as an elite goalkeeper and collegiate first?string…

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Integrating AI into Finance and Wealth Management with Mark Lezanic

AI in finance and wealth management

TL;DR

  • Mark Lezanic, a Florida-based wealth manager, integrates AI to help high-net-worth individuals manage complex portfolios and tax strategies.
  • AI investment tools are transforming wealth management, with 80% of retail investors expected to use them by 2028.
  • Machine Learning (ML) analyzes large financial datasets to optimize asset allocation and predict market movements.
  • Natural Language Processing (NLP) connects AI insights to market news, client goals, and real-time sentiment data.
  • Robotic Process Automation (RPA) automates routine tasks like reporting and data reconciliation, boosting efficiency.
  • Generative AI enhances client communication by creating tailored proposals and portfolio insights.
  • Real-world AI examples include MarketPsych (sentiment tracking), Salesforce Financial Cloud (client profiling), and SARGE by EY (compliance automation).
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I’m in a Tech Sector. What Should I Do to Survive the AI Rampage?

Artificial Intelligence (AI) has transitioned from a futuristic concept to a present-day reality, reshaping industries and redefining job roles. For professionals in the tech sector, this transformation is both exhilarating and daunting. The rapid integration of AI tools and automation technologies is not only enhancing efficiencies but also posing significant challenges to traditional tech roles.

Tech woman vs. AI

The Stark Reality: AI’s Impact on Tech Jobs

Recent studies underscore the profound impact AI is having on the job market:

  • A Goldman Sachs report suggests that AI could displace around 300 million full-time equivalent jobs globally by significantly reshaping job markets by 2030. (Source: litslink.com
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AI Innovations in Cardiovascular Medicine with Dr. Sanjiv Narayan

Dr. Sanjiv M. Narayan, MD, PhD, is a leading cardiologist and professor at Stanford University with extensive expertise in treating complex heart rhythm disorders. He is known for pioneering work that merges bioengineering with traditional medicine to create next-generation rhythm disorder treatments.

Da Vinci Surgical System AI

photo credit: Nimur / Wikimedia Commons. CC BY-SA 3.0

Dr. Narayan’s groundbreaking research in artificial intelligence (AI) and electrophysiology has influenced the development of innovative technologies, including AI-guided atrial fibrillation mapping systems now used by companies like Cortex Inc (formerly Ablacon). As co-Director of the Stanford Arrhythmia Center and Director of the NIH-funded T32 Program in Computational Medicine in the Heart, Dr.…

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