From the Road
The Azafran team continues to be active in virtual conferences, pitch days and online events
As we shift to attending and helping host virtual events, this dynamic continues to be a crucial element helping us to deliver on the Azafran investment thesis. Through this work, our team stays on top of the latest trends, companies and partner opportunities, especially away from the obvious venues in the world.
Techstars NYC Accelerator - Demo Day 2020
As always, there was an amazing lineup of startups on the Techstars 2020 Demo Day - both a diverse lineup of founders and company missions and technologies. While none of them fit the the Azafran thesis, it’s always great to tune into what Techstars is featuring in their accelerators.
After the pitch event, Techstars co-founder Brad Feld spoke of his journey to Boulder and the dynamics of what it takes to build a startup scene in any community.
Started in Boulder, CO, through a variety of regional programs, Techstars chooses over 500 early-stage companies to join one of their 3-month, mentorship-driven accelerators; investing $120K and providing hands-on mentorship and access to the Techstars network for life. To date, they have invested $9.3B in 2,157 companies, 85.8% of which are active or acquired at a market cap of $26.8B.
AI for Good and Amazon Web Services (AWS) webinar
Art of the possible: How artificial intelligence (AI) and machine learning (ML) are solving the world’s most difficult problems:
In this session, Bill Richmond, Senior AWS AI/ML Evangelist at Amazon Web Services (AWS), cut through the hype by providing concrete examples of practical AI/ML-applications being used today, such as computer vision, automatic speech recognition, natural language processing, and other related capabilities.
The webinar also covered trends and use cases in:
- AI/ML-enabled solutions designed to solve environmental and humanitarian crises;
- Convergence of IoT and AI at the edge;
- Digital disruption;
- AI philosophy and ethics.
The webinar also included a technical demo of an AI-powered speech analytics application that automates and accelerate speech-to-text transcription, language translation, keyword detection, data classification, sentiment analysis, and recommendation engines.