by Bosch AIShield | Jun 29, 2023 | AI Ethics, Governance, Uncategorized
Executive Summary Generative AI models and LLMs, while offering significant potential for automating tasks and boosting productivity, present risks such as confidentiality breaches, intellectual property infringement, and data privacy violations that CXOs must...
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 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...
by Algorithmia | Jan 29, 2021 | Governance
In November, we conducted a survey with 400+ business leaders involved in AI/ML initiatives at their organizations and discovered the top 10 trends driving the industry in 2021. One of the key trends we discovered is that ML governance is by far the top challenge that...
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