by Bosch AIShield | Jul 27, 2023 | AI Ethics, Infrastructure, MLOps, MLOPs Landscape
Executive Summary Generative AI and LLMs: Unlocking new opportunities for innovation, efficiency, and productivity, while posing potential risks including confidentiality breaches, IP infringements, and data privacy violations. Seven Recommendations: Safely integrate...
by Manpreet Dash with Bosch AIShield | May 9, 2023 | Infrastructure, MLOps, MLOPs Landscape, Uncategorized
Executive Summary AI attacks pose a threat to physical safety, privacy concerns, digital identity safety, and national security, making it crucial for organizations to identify the types of AI attacks and take measures to safeguard their products against them. The...
by Manpreet Dash with Bosch AIShield | Apr 6, 2023 | AI Ethics, Governance, MLOps, MLOPs Landscape, Uncategorized
AI algorithms have fundamental flaws that attackers might exploit to cause the system to fail. Unlike typical cybersecurity assaults, these flaws are not the result of programming or human error. They are just flaws in today’s cutting-edge methods. To put it...
by Manpreet Dash with Bosch AIShield | Nov 2, 2022 | AI Ethics, Governance, Infrastructure, MLOps, MLOPs Landscape, Uncategorized
What are AI attacks? Introduction AI is the gamechanger of this decade. It is rapidly transforming our world and everyday life. The underlying technology, called Machine Learning (ML), is all around us. It’s ML that decides whether you get a loan sanctioned, how much...
by AI Infrastructure Alliance | Mar 22, 2022 | AI Hardware, MLOps, MLOPs Landscape
The AI Infrastructure Alliance (AIIA) today announced that NVIDIA has joined as a platinum sponsor, expanding the growing list of industry-leading AI companies and communities working with the alliance. An NVIDIA representative will serve on the AIIA’s board of...
by Daniel Jeffries | Jan 7, 2022 | AI Hardware, AutoML, Data Lineage, Data Versioning, Feature Store, Governance, Hyperparameter Optimization, Infrastructure, Labeling, Logging, MLOps, MLOPs Landscape, Monitoring, Production
Just a few years ago, almost nobody was building software to support the surge of new machine learning apps coming into production all over the world. Every cutting-edge tech company, like Google, Lyft, Microsoft, and Amazon rolled their own AI/ML tech stack from...
Recent Comments