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Sema

United States
2017
Private
< $10m
11 - 50
Open website

At Sema, we’re committed to building better tools for better code. Our market leading solution for comprehensively understanding codebase health has been used to evaluate over $1T of software organizations around the globe for some of the world’s most sophisticated software investors. With this foundation, we're building products to help developers and organizations manage the risks and capture the benefits of using AI implementation in engineering workflows.

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Sema’s Technology Stack maps Sema’s participation in the IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Podcasts1
EP 209 - From Code Transparency to Productivity: The Future of GenAI in Development - Matt Van Itallie, Founder & CEO, Sema
Monday, Oct 21, 2024

In this episode, we talked with Matt Van Itallie about the rapid integration of generative AI (GenAI) in software development and its profound impact on productivity and business practices. We discussed how GenAI is transforming coding processes, the risks involved, and strategies for mitigating those risks. The conversation also covers how organizations can maximize GenAI’s benefits while maintaining security, legal compliance, and developer oversight in high-stakes environments like finance and health tech.

Key Insights:

• GenAI boosts productivity: GenAI can make developers up to 20% more efficient by assisting with routine tasks and enabling faster experimentation and prototyping.

• Security and intellectual property risks: Despite its benefits, GenAI introduces risks, including security vulnerabilities and potential intellectual property issues depending on how the tools are used.

• Importance of human oversight: Blending GenAI with human input is critical to ensure code accuracy, maintainability, and long-term security.

• Enterprise-grade tools: Using enterprise or pro-tier GenAI tools is essential to avoid exposing sensitive company data and ensure compliance with legal standards.

• Structured visibility and management: Organizations should implement clear strategies and tools to track GenAI use, especially in regulated industries, ensuring responsible and secure adoption.

 

IoT ONE database: https://www.iotone.com/case-studies

Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

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