ENTERPRISE 4.0 | Q2 2023
The BGV Beat
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Generative AI is unlikely to replace Google search overnight or displace human SMEs. Augmenting this technology with domain expertise will be important for successful broad adoption.
Matt Hein, Chief Strategy Officer at AMD, emphasized the importance of collaboration and partnership in the industry, as AI is set to affect every element of the industry, from AI training and models to other key aspects.
The monetization opportunity for open source companies in generative AI is large. There are multiple proven paths to monetization, each which bring differences in ethics, IP protection and market viability.
Courts are just beginning to set the contours of how generative AI output should be treated under US Copyright law—most notably defining the fine line between what is an infringing derivative work and what is “fair use.”
Stack Identity has emerged from stealth mode with a $4M seed funding round co-led by WestWave Capital and BGV. Through its patent-pending innovation, Stack Identity simplifies and automates Cloud IAM operations with a risk-based approach that takes into account deep data and applications context.
In the rapidly evolving realm of cloud-based identity and access management (IAM), businesses are unable to protect sensitive data if they don’t know who has access, why, and for how long. Stack Identity was created to solve this problem, making it easier for customers to protect critical and sensitive data stored in the cloud by eliminating applications and services from rogue access, and preventing unauthorized data sharing and data exfiltration.
Essenvia, the pioneer in regulatory submission management for the MedTech industry closed $4M in Pre Series A financing led by Benhamou Global Ventures and Wavemaker360. The company announced the appointment of Wavemaker360 partner Kwame Ulmer and BGV Partner Yashwanth Hemaraj to Essenvia’s board of directors.
Essenvia’s fundamentally different approach to regulatory submission management is being rapidly adopted by MedTech organizations worldwide. Unlike conventional Regulatory Information Management (RIM) tools, documents, or spreadsheets, Essenvia has zero technical implementation time and works seamlessly with a regulatory team’s existing process.
Data-centric AI is poised to reshape the socioeconomic fabric of our time, and with those changes come an entirely new set of opportunities and challenges.
Ethical AI requires integrity of purpose, process and validation. It requires a commitment to develop AI for good and to ensure that the process delivers upon that promise.
The promise of DA and ML is that the insights gained about the world can be much more complex than those which can be found by humans, and also that those insights will be free of human bias.
Companies are harnessing the power of synthetic data generation to expand their machine learning capabilities in critical ways.
Generative artificial intelligence (AI) has the power to transform the way we live and work in profound ways and will challenge even the most innovative companies for years to come. But generative AI is not without risks. It gets a lot of things right but many things wrong. As businesses race to bring this technology to market, it’s critical that we do so inclusively and intentionally. It’s not enough to deliver the technological capabilities of generative AI, we must prioritize responsible innovation to help guide how this transformative technology can and should be used — and ensure that our employees, partners, and customers have the tools they need to develop and use these technologies safely, accurately, and ethically.