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Conference: Global AppSec Dublin 2023
Authors: Jessica Robinson
2023-02-15
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The evolution of the security practitioner and leader in the future to keep up with the pace of the ever-growing cybersecurity industry.
- The complexity of cybersecurity defense and proactive innovation requires a collaborative change in thinking.
- Adapting to the industry's pace influences security strategies, creativity, and culture in companies and the industry.
- Effective leadership is crucial in protecting businesses, communities, and people's way of life.
- The CSO role is a leadership growth area that requires modeling integrity and making tough decisions.
- Partnering with other executives and prioritizing security bugs in software engineering are essential in application security.
Conference: Transform X 2022
Authors: Dragomir Anguelov, Marco Pavone, Alex Kendall, Kate Park
2022-10-19
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Experts discuss the challenges in incorporating machine learning into autonomous vehicles safely and effectively.
- Autonomous vehicles use multiple sensors to identify their surroundings, but face difficulties in identifying pedestrians, other vehicles, obstacles, and environmental conditions.
- Integrating complicated sensor suites, software, data management, and machine learning with engineering is a challenge.
- Collecting and labeling large amounts of data, integrating ML models with the rest of the self-driving stack, and improving the driver continuously are also challenges.
- Simulation plays a critical role in development.
- Different OEMs use unique approaches to leverage machine learning in their self-driving stack, with some using end-to-end learning and others preferring modular learning.
- Scaling to new environments quickly is a difficult challenge.
Conference: Transform X 2021
Authors: David Carmona
2021-10-07
David Carmona, General Manager of AI and Innovation Marketing at Microsoft shares a demo-rich session on Artificial Intelligence (AI) with real-life business applications. He walks through how enterprises can both 'anticipate and innovate' in a fast-paced and challenging business environment, to stay competitive, through AI. Plus, a 4-step framework to building a comprehensive Responsible AI strategy.
Conference: Transform X 2021
Authors: Vilas Dhar
2021-10-07
Vilas Dhar is President and Trustee of the Patrick J. McGovern Foundation, a 21st-century philanthropy advancing artificial intelligence (AI) and data solutions to create a thriving, equitable, and sustainable future for all. He joins Michael Kratsios, Managing Director at Scale AI and former CTO of the United States to discuss accelerating the positive social impact of AI. Together they explore the intersection of innovation, philanthropy, and AI. How can we improve access to AI for non-profits? Where are the market disruptions that can drive social good, which aren't on private sector roadmaps? How should the private sector and government partner together to support non-profits as they undertake their own digital transformations? Join this session to hear how policymakers, the private sector can partner with philanthropy to use AI for the wider benefit of society
Conference: Transform X 2021
Authors: Jerry Yang
2021-10-07
In the early days of the internet, Jerry Yang co-founded Yahoo! And created an entirely new category of innovation. He then founded AME Cloud Ventures, a venture innovation firm that invests in seed-stage to later-stage tech companies. He joins Scale AI CEO Alexandr Wang in a fireside chat to discuss the future of innovation in AI. What is critical or foundational for AI companies to get right to drive innovation and be successful? What strategies or initiatives should organizations be thinking about to become more data-focused? What are the most important things that we all can do today to enable a positive future of AI?
Conference: Transform X 2021
Authors: Kevin Scott
2021-10-07
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The speaker discusses the advancements in machine learning and AI over the past six months, including self-supervised models and pre-trained models, and their potential implications for various domains.
- Self-supervised models are becoming better at performing tasks and admitting a broader range of tasks as they scale up
- Pre-trained models can be used as software engineering objects to solve a variety of problems
- Self-supervised learning techniques are being applied to various domains, including vision and graphs
- The use of these models has potential implications for fields such as molecular dynamics and protein folding
Conference: OWASP 20th Anniversary Event
Authors: Erez Yalon
2021-09-24
Abstract:We are living in the future. Actually, we have been living in the future for some time now. Unfortunately, progress is not equally divided between the different facets of technology. An area that has always suffered a delayed reaction is security, and more specifically security testing. When it comes to innovation and digital transformation, we are charging forward at full speed, but failing to adapt testing practices to evolve with the times and technologies. We are quickly, and often blindly, embracing the bleeding edge of technology, but every tech adoption comes with the overhead of a new set of tests (and their respective vendors of course). We are aggressively shifting left to the point where our testing results are not actionable, and sometimes not even clear. In this talk, we will discuss the ‘opportunities’ future-fueled applications present to adversaries, the challenges security teams encounter with modern architectures, and the vision we should consider when testing and securing these applications to take a more proactive defense approach across the industry.