My guest this week is Kevin Killens, CEO of AHvos, a technology service that provides AI solutions for data-heavy businesses using a proprietary technology called Contextually Responsive Intelligence (CRI), which can act upon a business's private data and produce results without storing that data.
In this episode, we delve into this technology and learn more from Kevin about: his transition from serving in the Navy to founding an AI-focused company; AHvos’ architectural approach in support of data minimization and reduced attack surface; AHvos' CRI technology and its ability to provide accurate answers based on private data sets; and how AHvos’ Data Crucible product helps AI teams to identify and correct inaccurate dataset labels.
Topics Covered:
- Kevin’s origin story, from serving in the Navy to founding AHvos
- How Kevin thinks about privacy and the architectural approach he took when building AHvos
- The challenges of processing personal data, 'security for privacy,' and the applicability of the GDPR when using AHvos
- Kevin explains the benefits of Contextually Responsive Intelligence (CRI): which abstracts out raw data to protect privacy; finds & creates relevant data in response to a query; and identifies & corrects inaccurate dataset labels
- How human-created algorithms and oversight influence AI parameters and model bias; and, why transparency is so important
- How customer data is ingested into models via AHvos
- Why it is important to remove bias from Testing Data, not only Training Data; and, how AHvos ensures accuracy
- How AHvos' Data Crucible identifies & corrects inaccurate data set labels
- Kevin's advice for privacy engineers as they tackle AI challenges in their own organizations
- The impact of technical debt on companies and the importance of building slowly & correctly rather than racing to market with insecure and biased AI models
- The importance of baking security and privacy into your minimum viable product (MVP), even for products that are still in 'beta'
Guest Info:
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