3GIMBALS’ Post

Linked – AI data readiness: C-suite fantasy, big IT problem This might seem like a new problem, but it's an old problem that shows up when trying to do something new.  There is a lack of a strategy for data security and data rot. Too many organizations have punted when deciding what data to keep versus delete and haven't made the hard decisions about implementing data security internally. Now, they want to use AI, but the AI is accessing all that outdated data and exposing the places where security wasn't correctly implemented. So, it becomes an IT problem to fix.  #AI #Data #RecordsManagement #Security

Empower your manufacturing process with data-driven decision-making strategies. +1-760-478-6770 https://marradata.ai/ #data #technology #datascience #business #tech #dataanalytics #bigdata #machinelearning #ai #analytics #artificialintelligence #security #datavisualization

Hi #dataengineer, Ever wondered about mixing #AI with #data #engineering? Well, I got a little taste of it recently. We were working on a project where we used a chat interface to pull data. The results? Pretty amazing! But here’s the snag we hit: how do you keep data secure? Especially when you're dealing with sensitive info like PII (personally identifiable information). You see, if you let an AI directly access all the data, you need a solid plan to make sure people only see what they’re supposed to see. Good news is, we found a simple fix to keep those Role-Based Access Control (RBAC) policies in check. So, if you're diving into AI for data engineering, make sure your tool can handle security stuff too. Would love to hear if anyone else has tackled something similar! Cheers, P.S. Oh, and make sure your AI knows not to take “drop database” too literally—some commands are better left unfollowed!

Intelligence Center 3.3 offers a range of updates that will elevate your threat intelligence operations. Zooming in on three key areas of improvement and innovation, this release: 1️⃣ Introduces additional data policy features for refined data retention and improved data export via more flexible CSV support. Improvements in source management give administrators greater flexibility in adapting to evolving collection requirements and ensure intelligence contributions are consistently attributed to the correct source. 2️⃣ Further enhances our MITRE ATT&CK support. We've updated the built-in Enterprise framework to the latest 14.1 version and automated the creation of mappings for ingested reports. The introduction of a dedicated search interface for relational queries, and upgraded support for TLP-protocol version 2.0, significantly improve the CTI analyst experience as well. 3️⃣ Heralds the debut of our first Generative AI-powered feature, signaling the start of a new long-term initiative to supercharge intelligence operations with AI technology. The beta AI Report Creator enables analysts to generate comprehensive reports efficiently using Generative AI from market leader OpenAI. Learn more about each of these as well as other enhancements in the blog post: https://lnkd.in/evjvw6sR Get ready to transform your #ThreatIntelligence journey!

Talent and skills are often the key factors that stand between a CIO’s roadmap and delivering real results. A highly skilled team isn’t just an asset—it’s the foundation of a highly successful IT organization. Curious about how to close the skills gap in your team? Let’s talk about Pluralsight’s AI skill assessments and hands-on sandboxes, and how they empower IT organizations to reach peak performance. #AIsandboxes #skilldevelopment #pluralsight https://lnkd.in/eYVgNbig

💥Here's Part II of my three-part post on "Trustworthy AI" **To all my AIGP, AI Governance and EU AI friends ** 👉 ➡ Part I can be found here: https://lnkd.in/erdwPYuA What are the seven key EU requirements for Trustworthy AI? How can we minimize risk according to the general buckets of "Data design", "Model design", and "Loss function?" ⏹REQ 1 - Human Agency and Oversight. The requirement of Human agency and oversight is based on the idea of human autonomy. DATA - training set is curated with diversity and inclusivity in mind. Try to defuse micro-targeting. MODEL - Human agency and oversight can be facilitated by relying on simple models such as linear models with few features or decision trees with small depth. LOSS FUNCTION - include a penalty term in the loss function which can force the trained model to yield predictions that don't change across different mental states of the same user. ⏹REQ 2 - TECHNICAL ROBUSTNESS AND SAFETY. How do we guard against imperfections, like programming errors, quantization noise, power outages, or interrupted communication links and hardware failures? DATA - Use adversarial training to include "perturbed data points" in the training set. OR - prune the dataset using some form of outlier detection. MODEL - Develop qualitative and quantitative measures of continuity and robustness. LOSS FUNCTION - Use a lot of complicated math to "disturb" the model features and the data labels and create an "uncertainty set". #OnlyIfYouLoveRealMath ⏹REQ 3 - PRIVACY AND DATA GOVERNANCE - Do we need DPO inspection or even a DPIA to minimize risk? How do we quantify privacy leakage? Do we need Differential Privacy to introduce randomness or noise to the output? #AIGPExamTopic #DifferentialPrivacy Donna Rinck, Esq. DATA - Carefully select your features used to characterize data points. Use only features relevant for the learning task that don't convey too much information about sensitive attributes. MODEL - Use linear feature learning techniques and shallow decision trees so that each resulting decision contains a minimum number of data points. LOSS FUNCTION - Use a random linear function in addition to your objective loss function. ⏹REQ 4 - TRANSPARENCY - Provide explanations for predictions. Use models that are "intrinsically interpretable" #GoodLuckWithThisOne Inform users when interacting with an automated system, be transparent. DATA - Datasheet for Datasets! Document your datasets - show the composition, collection process, and intended use. MODEL - Model Cards. System Cards. Donna Rinck, Esq. #AIGPExamTopic #EvansFavoriteTopic Similar to datasheets for datasets, model cards provide transparency about the performance of trained models across various demographic groups. LOSS FUNCTION - Augment your training set with "pseudo-label examples" and use #ComplicatedMath to construct new penalty terms for expected loss. I'll sum up EU Requirements 5-7 in a final third post.

No one has/collects more data than the USG. I expect their budget for AI to grow well beyond the $700M spent over the last 2 years as AI continues to improve and reap new benefits wrt data: collection, parsing, analysis, visualization, etc. If you're an AI investor, developer, or enthusiast, this is positive as there couldn't be a bigger benefactor to an industry than the USG. #ai #federalbudget #benefactor

Data management is essential for a robust IT team, and AI can enhance its efficiency. However, caution is necessary to prevent AI from compromising security or opening backdoors. Despite AI's potential, it's crucial to recognize that there's still a learning curve associated with its implementation. #AI #DataManagement #ITLeadership

Interesting quotes from day 1 of the brilliant #FlyAIForum 🤖 🚁 ✈️ “Today we are exploring the exciting and rapidly evolving field of #AI and its application in #aviation” Antonio Licu FRAeS “AI will support and accelerate the implementation of higher levels of #automation” Andreas Boschen “We need #trustworthyAI and #FrugalAI” & “#SyntheticData is quite useful especially for perception tasks” Romaric REDON “How to train trust when your life is at stake?” Ruben Flohr “We need to bring in all that noise from the real world. It makes a huge difference when you train agents for #ATM” Richard Cannon “#HumanAIteaming will be core for the future use of AI” Alessandro Prister “#GenerativeAI helps us to generate synthetic traffic data and hotspots to augment our historic data sets” Jason Gauci “We aim at building a #hypersolver thanks to Deep RL learning to provide conflict resolution services at short and medium time horizon” Aurelie PEUAUD “We need to ensure a level of safety while increasing dynamically u-space capacity” Aurelie Aurilla Bechina Arntzen “How is safety ensured if not all situations and variations of parameters can be anticipated during the design phase?” Gabriella Gigante “User validation is very important for building trust with the user” Camille Anoraud “After features are validated inspired by SESAR projects, there still is significant work to bring it into operation” Benjamin Cramet “With level 2B, we are allowing ourselves to give certain authority of AI-based systems or #systemofsystems” Guillaume Soudain “Finally we have a legislation on AI at European level” Antoine-Alexandre André “Limitations in the first set of rules imply required failure constributions below critical and hazardous, as well as the exclusion of adaptive learning” François Triboulet “One of the key aspects is to properly categozize and charecterize the operational design domain” Hugo Silva “One size doesn’t fit all. We are fully aware that some horizontal standardization does not fit every sector.” Patrick BEZOMBES “Since the beginning, the working group 114 worked with the G34 from SAE in order to be closely aligned with the US” Anna Guégan, CISSP “AI can be used for the automation of data processing, outlier detection, improvement of data quality, completion of collected datasets, creating more data, trajectory classification” Emilien ROBERT “We need to think about data before we build the systems” Shavin Fernando, MMA “In the STORY project, we used speech transcription supported by AI for safety events' analysis” Alessandro Longobardi “AI based tool for predicting ‘runway in use’ by using self-enforcing networks and DWD’s ICON D2 EPS NWP data showed very promising prediction scores” Dirk Zinkhan “AI has helped us to correct NOTAMs with significant higher efficiency” Sergiu Cristea Looking forward to day 2️⃣ 🚀 Join (https://lnkd.in/dy2HdjCG)

🌞 Catch Up on Our Webinars This Summer! 🌞 Missed any of our recent webinars? No worries! Summer is the perfect time to catch up on the latest insights and trends in enterprise data management. Start with our popular session, "From Chaos to Context", and discover how to transform your data strategy using AI-driven data discovery and classification. 👉 Watch On-Demand: https://bit.ly/4eXnikM Enhance your data management skills and drive value with our expert-led webinars. Don’t miss out! #DataDiscovery #DataClassification #AI #DataSecurity