Andreas-Anoar Adomeit’s Post

Hard tech is hard. For Anduril Industries, Palantir’s Warp Speed makes it 200x easier. At #DevCon1, Analytics Engineer Callum McCann explained how Anduril is harnessing the power of the ontology to accelerate material resource planning within Arsenal OS, their integrated digital manufacturing platform, transforming processes that once took 2-4 hours into 30 second tasks. “Foundry has helped Anduril take the next step into the realm of real-time decision making. This isn’t just about technology - it’s how we use it to cut through complexity and stay several steps ahead in a very quick-moving industry. At the heart of all of this is the Foundry ontology, which I believe is the most fully-featured semantic layer on the market. It takes all of the skillsets that we’ve been developing as data, analytics, and software engineers allows us to unify that into one platform.“ 

200x Easier: 2-4 hours to Just 30 seconds All companies sourcing best-in class materials, here are some takeaways: Old way (1-2 weeks): ❌ Manual demand planning ❌ Aggregate information across company (growth information in CRM, development information from engineers maintenance information from deployments) ❌ Consolidate information and put into ERP Problem: Expertise-dependent, unscalable, no continuous learning New way (hours): ✅ Integrate diverse data source (ERP, MES, PLM, etc), human impact and demand-impacting events (risks, demand surges, etc) ✅ Align 10+ stakeholders on demand forecasts using common business terminology ✅Utilize AI/ML with real-time data for optimal purchasing decisions Advantage: Faster, more informed decision-making across all levels and departments "This isn’t just about technology - it’s how we use it to cut through complexity and stay several steps ahead in a very quick-moving industry. fully-featured semantic layer on the market. It takes all of the skillsets that we’ve been developing as data, analytics, and software engineers allows us to unify that into one platform.“ Palantir Technologies Anduril Industries #warpspeed #palantir #digitaltransformation #materailharmonization #hardware #software

"Excited to share my second task at Rhombix Technologies: Feature Engineering! 🚀 Turning raw data into valuable insights by identifying and creating meaningful features. This is a critical step in building powerful machine learning models. Rhombix Technologies #FeatureEngineering #DataScience #MachineLearning #LearningAndGrowing"

Let's continue on the journey with Cognifyz Technologies task 5. Watch comment learn and unlearn and am ready to improve with your comments. #cognifyz #dataanaylst #datascience

Besides many of the marketing noise related with #AI and its interesting developments in generative models, we have a strong a silent rising of applied machine learning in manufacturing, energy, engineering among other economic areas. Big enterprises with a proper tech vision have noticed the edge that they can get on its own processes having a proper data architecture together with well established Data Engineering best practices. They already have in place enterprise data flows to collect and develop metrics based on operational data . In short: They got through the first real digital transformation based on data-driven practices. So, now, they have the operational data in place, What would be the next step?, Hire data teams such as data analyst, data scientist, Ml engineers and start building a data platform?, mmm, well, yes and not at all! The big companies are getting hit by a new wave of advanced tools such as https://www.cognite.com/ or https://sightmachine.com/ where they combine different algorithms, practices to perform applied machine learning, digital twins (simulations) integrations, advance monitoring, to optimise each corner of the process. Part of era of experimentation have reached its peak and now, the CTOs, Data heads/leads/architects who can see the benefits of this applied approaches can provide to the company with a great arsenal, to pursue complex business objectives.

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Can advanced computing and data resources allow GenAI to account for the complexities of life's ifs and buts? If you want to know how GenAI arrives at certain results and why we can’t fully trust them, read What GenAI Cannot Do. Curated by our Managing Partner, Gireendra Kasmalkar, it delves into the less frequently discussed aspects of GenAI. #genai #artificalintelligence #innovation

Agivant's platform engineers utilize industry-leading technologies and best practices to design, develop, and maintain the foundation for your applications to thrive. Our platform engineering services are tailored to your business needs, combining technical expertise with a deep understanding of your goals and objectives. Read More: https://lnkd.in/dmYFhsds #platformengineering #ai #expertise #digitaltransformation #data #agivant