An Interview with John Shaw, CEO of Add Value Machine, Inc.

Introducing AVM: Revolutionizing Generative AI for Enterprises

In this exclusive feature, we’re thrilled to introduce John Shaw, CEO of Add Value Machine (AVM). As a seasoned tech entrepreneur and AI visionary, John is at the helm of AVM’s mission to revolutionize the way businesses utilize Generative AI. The company is dedicated to developing a secure and compliant platform, addressing a critical need for enterprises and accelerating the adoption of AI to drive substantial business value. Throughout this interview, John shares insights about AVM’s unique approach, its value proposition, and how it navigates the evolving landscape of Generative AI.

The Vision Behind AVM and its Value Proposition

Enterprises today are grappling with a multitude of security and compliance challenges as they strive to leverage Generative AI tools like ChatGPT for their businesses. The vision for AVM comes from our belief that these challenges shouldn’t hinder them from reaping the immense benefits enabled by this transformational technology. Our mission, thus, is to empower enterprises with a platform solution to exploit Generative AI’s capabilities in a secure and fully compliant manner, thereby driving significant business value. 

Addressing Security and Compliance Challenges with Generative AI

Some of the key security and compliance challenges that enterprises face with Generative AI include users inputting sensitive and proprietary data directly into ChatGPT, without a clear understanding of how the tool processes and stores this data. This poses a significant risk, especially for sectors dealing with highly confidential data like finance, healthcare, and legal. Misuse of Generative AI tools has led to high-profile instances where companies like Samsung, J.P. Morgan, and Amazon have either banned or restricted their use. AVM aims to address these challenges by following strict industry standards and integrating seamlessly with existing enterprise infrastructure.

  • AVM employs Single Sign-On (SSO) for secure access to Generative AI tools, using enterprise user credentials from identity provider solutions (IdP).
  • Data security measures, including robust encryption of data at rest and in transit, ensure sensitive information remains secure within the platform.
  • AVM adheres to compliance standards for specific sensitive data types, such as PCI, PHI, and PII, aligning with existing enterprise policies.
  • AVM provides comprehensive logs of all activities, both prompts, and data sent to foundation models while working towards achieving SOC2 and HIPAA compliance.

By offering these security and compliance features, integrated with existing enterprise systems, AVM not only enables the leverage of Generative AI but also strengthens a company’s security and compliance position.

Gaining Assurance from Concerned IT Leaders

AVM understands the concerns of IT leaders when it comes to deploying Generative AI. Beyond having the right security measures in place, visibility and control are crucial aspects. Thus, AVM’s platform is designed to offer Chief Security Officers (CSOs) and Chief Compliance Officers (CCOs) direct visibility into the system via real-time dashboards. These dashboards provide insights into data handling, usage, and compliance. Integrated with existing enterprise tools like Splunk, monitoring and analyzing data from AVM’s platform within existing security and compliance frameworks becomes seamless for enterprises.

Delivering Value to Enterprises

AVM enables enterprises to securely upload their data, leading to rich context-specific interactions instead of generic responses provided by most foundation models. This results in a wide range of use cases with direct business benefits. For instance, marketing teams can use AVM to upload customer surveys for sentiment analysis, providing more nuanced and detailed insights. Additionally, AVM allows employees to perform comprehensive searches across knowledge bases using internal chatbots, reducing time spent on routine queries and enhancing productivity. The platform also provides prompt galleries organized by function and business type, enabling teams to standardize and customize their interactions with AI, leading to enhanced productivity.

AVM delivers value by enabling secure, context-specific applications of Generative AI, enhancing productivity, driving operational efficiency, and supporting better strategic decisions. The combination of these benefits provides a strong return on investment, making AVM a compelling choice for enterprises looking to harness the power of Generative AI.

Keeping AVM Up-to-Date with Evolving Generative AI Models

AVM acknowledges the rapid evolution of Generative AI and the importance of staying up-to-date with the latest developments. The platform takes a two-pronged approach to address this. Firstly, it is model-agnostic, supporting foundation models from top-tier providers like OpenAI, HuggingFace, Cohere, Amazon, and more. This ensures customers have access to a variety of AI models suited to their unique requirements. Secondly, AVM offers guidance to customers through providing metrics on each model’s performance, including accuracy, bias, cost, and more. This helps businesses make informed choices that align with their objectives and budgets.

The Future of AVM

AVM is committed to prioritizing customer needs and addressing Generative AI deployment challenges. As the technology evolves, AVM aims to seamlessly integrate with existing security and enterprise systems, supporting enterprises at every level from IT managers to end-users.

Learn more about AVM at

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