Accelerating AI in the Enterprise: Staying Ahead While Staying Secure
AI adoption is becoming an arms race to unlock new business insights, bring new value to market, and outpace competition.
However, AI has typically existed outside of traditional enterprise development practices for bringing new software innovation to market.
With the impetus to launch and adopt new AI solutions, there are true concerns around how you can accelerate AI initiatives securely in a rapidly evolving space.
Case in point, a recent Information Week report commissioned by JFrog has found that 79% of firms say security concerns are slowing the use and/or integration of AI/ML into software, with only 48% having an enterprise-wide policy for LLM and GenAI technology usage.
Similarly, 49% of firms have no reliable way to control usage of ML models in their apps, and less than a quarter have a single source of truth for all software components including AI models.
With the time, money, and resources being spent on AI innovations, organizations must realize the value of their efforts without putting themselves at risk.
In this webinar, we sit down to discuss what enterprises can do to put the “AI petal” to the floor, while staying secure.
This webinar will cover:
Presenter Information
Yuval Fernbach has an unwavering passion for unleashing the potential of data and technology to drive innovation. He has over a decade of hands-on experience in the realm of data and machine learning and as an ML Specialist, crafting advanced machine learning models. He co-founded and served as the CTO of Qwak, a fully managed, user-friendly ML Platform, enabling creators to reshape data, construct, train, and deploy models, and meticulously oversee the complete Machine Learning lifecycle. Since the acquisition of Qwak by JFrog, Yuval now serves as the VP and CTO of MLOps at JFrog.
A former CISO himself, Paul is a strategic security professional whose expertise lies in collaborating with CIO and CISOs on promoting best practices for adopting software supply chain systems and platforms. He is a trusted advisor who offers expertise and guidance on cybersecurity challenges and solutions.
Jeremy Krinitt leads key Generative AI and LLMOps partnerships at NVIDIA. Jeremy has also driven NVIDIA's ecosystems in the areas of Visual Generative AI, Professional Broadcast, Video Conferencing, Virtual Production and Streaming. Jeremy has more than 25 years of experience in AI, video and 3D graphics technologies, much of it driving software and hardware product development and partnerships. Prior to joining NVIDIA, Jeremy was Vice President of Business Development at BriefCam, a leader in AI video analytics, acquired by Canon in 2018. Jeremy has founded two companies, REACT Systems, an emergency communications company, and Frontier Security, a physical security solution provider.