Difference between revisions of "Palantir"

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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
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[http://www.youtube.com/results?search_query=MLaaS+AIaaS+cloud+machine+learning+ML+ai Youtube search...]
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[https://www.youtube.com/results?search_query=Palantir YouTube]
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[http://www.google.com/search?q=MLaaS+AIaaS+cloud+machine+learning+ML+ai ...Google search]
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[https://www.quora.com/search?q=Palantir ... Quora]
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[https://www.google.com/search?q=Palantir ...Google search]
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[https://news.google.com/search?q=Palantir ...Google News]
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[https://www.bing.com/news/search?q=Palantir&qft=interval%3d%228%22 ...Bing News]
  
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[https://www.youtube.com/results?search_query=MLaaS+AIaaS+cloud+machine+learning+ML+ai YouTube]
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* [https://www.palantir.com/offerings/ai-ml/ Palantir]
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[https://www.quora.com/search?q=MLaaS%20AIaaS%20cloud%20machine%20learning%20ML%20ai ... Quora]
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** [https://www.palantir.com/platforms/aip Palantir Artificial Intelligence Platform]
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[https://www.google.com/search?q=MLaaS+AIaaS+cloud+machine+learning+ML+ai ...Google search]
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** [https://www.palantir.com/offerings/ai-ml Offerings | Palantir]
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[https://news.google.com/search?q=MLaaS+AIaaS+cloud+machine+learning+ML+ai ...Google News]
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* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database|Database; Vector & Relational]] ... [[Graph]] ... [[LlamaIndex]]
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[https://www.bing.com/news/search?q=MLaaS+AIaaS+cloud+machine+learning+ML+ai&qft=interval%3d%228%22 ...Bing News]
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* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]
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* [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless]] ... [[Hugging Face]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
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* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
 
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* [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]]
 
 
* [[Service Capabilities]]
 
* [[Service Capabilities]]
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* [[Libraries & Frameworks]]
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* [[Libraries & Frameworks Overview]] ... [[Libraries & Frameworks]] ... [[Git - GitHub and GitLab]] ... [[Other Coding options]]
 
* [[Building Your Environment]]
 
* [[Building Your Environment]]
 
* [[Containers; Docker, Kubernetes & Microservices]]
 
* [[Containers; Docker, Kubernetes & Microservices]]
 
* [[AI Marketplace & Toolkit/Model Interoperability]]
 
* [[AI Marketplace & Toolkit/Model Interoperability]]
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* [[Feature Exploration/Learning]]
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* [https://www.businesswire.com/news/home/20220714005219/en/Palantir-Named-a-Leader-in-AIML-Platforms-by-Independent-Research-Firm Palantir Named a Leader in AI/ML Platforms by Independent Research Firm]
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* [http://en.wikipedia.org/wiki/As_a_service As a service | Wikipedia]
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* [https://www.engadget.com/palantir-shows-off-an-ai-that-can-go-to-war-180513781.html Palantir shows off an AI that can go to war | Andrew Tarantola - Engadget] ... The system aims to serve as an 'ethical' and 'legal' veneer for future military automation efforts
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* [http://www.dau.edu/guidebooks/Shared%20Documents/DoD%20Cloud%20Acquisition%20Guidebook.pdf DoD Cloud Computing Acquisition Guidebook | Defense Acquisition University]   ... Enable Artificial Intelligence (AI) and Data Transparency
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* [https://geekflare.com/machine-learning-paas/ 7 Platform-as-a-Service (PaaS) for Machine Learning and AI Developers | Abhishek Kothari - GeekFlare]
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Palantir offers AI services, providing a Secure Data Foundation that allows organizations to build a solid foundation of sufficient, quality data, and then bring that data into daily operations.
  
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Machine learning as a service (MLaaS) is an umbrella definition of various cloud-based platforms that cover most infrastructure issues such as data pre-processing, model training, and model [[evaluation]], with further prediction. Prediction results can be bridged with your internal IT infrastructure through REST APIs. [http://www.altexsoft.com/blog/datascience/comparing-machine-learning-as-a-service-amazon-microsoft-azure-google-cloud-ai-ibm-watson/ Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson | Bradford Cross]
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<hr><center><b><i>
  
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= Platforms =
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Palantir’s [[Graph#Ontology|ontology]] translates complex data interactions into human-readable concepts, allowing models to reflect how an organization views the world around a common semantic layer.
  
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* [[Amazon]] AWS
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</i></b></center><hr>
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** ...two levels: predictive [[analytics]] with Amazon ML and the [[SageMaker]] tool for data scientists
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** ... [[Bedrock]]
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* [[Apple]] ...Turi lets developers build apps with ML and AI capabilities that automatically scale and tune -- includes the Turi Machine Learning Platform, GraphLab Create, Turi Distributed, and Turi Predictive Services
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Palantir has pioneered an entirely new approach to enterprise modeling called Micro Models. Rather than building one all-encompassing model, Micro Models let you address discrete parts of a large problem — and then combine them to create an overall solution. Palantir offers a new way to manage models by attaching each model to a specific organizational objective. Objectives ensure that business logic is tied to specific business KPIs and deployed for a consistent purpose across use cases. Palantir revolutionizes how organizations build and deploy AI/ML by combining the enterprise data foundation with end-to-end AI/ML deployment infrastructure. Data scientists and engineers can customize, deploy, assess, and compare across homegrown, open-source, and third-party algorithms.
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* [[Google]], DeepMind & Google Cloud Platform (GCP) ...AI with [[TensorFlow]] ... [[Vertex AI]]
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* [[Hugging Face]], allows users to share machine learning models and datasets
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<youtube>HergHd1lnbM</youtube>
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* [[IBM]] Watsonx
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<youtube>ov3iILzXFt8</youtube>
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* [[Intel]] ...AI Opportunities for Cloud Service Providers
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<youtube>CyS8C5Ol2Bc</youtube>
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* [[Kaggle]] ...is the place to do data science projects
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<youtube>bPGnvfyMuxE</youtube>
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* [[Microsoft]] Azure ...two main categories: [[Azure AI Process|Azure Machine Learning]] and Bot Service. 
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<youtube>xkMGWE0gUCY</youtube>
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* [https://modal.com/ Modal]
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<youtube>1q0EbYKsm5Q</youtube>
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* [[NVIDIA]] ...dominant player in datacenter artificial intelligence (AI) acceleration
 
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* [[OpenAI]]
 
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* [[Palantir]]
 
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* [https://www.palantir.com/offerings/ai-ml/ Palantir]
 

Latest revision as of 22:15, 26 April 2024

YouTube ... Quora ...Google search ...Google News ...Bing News


Palantir offers AI services, providing a Secure Data Foundation that allows organizations to build a solid foundation of sufficient, quality data, and then bring that data into daily operations.

Palantir’s ontology translates complex data interactions into human-readable concepts, allowing models to reflect how an organization views the world around a common semantic layer.


Palantir has pioneered an entirely new approach to enterprise modeling called Micro Models. Rather than building one all-encompassing model, Micro Models let you address discrete parts of a large problem — and then combine them to create an overall solution. Palantir offers a new way to manage models by attaching each model to a specific organizational objective. Objectives ensure that business logic is tied to specific business KPIs and deployed for a consistent purpose across use cases. Palantir revolutionizes how organizations build and deploy AI/ML by combining the enterprise data foundation with end-to-end AI/ML deployment infrastructure. Data scientists and engineers can customize, deploy, assess, and compare across homegrown, open-source, and third-party algorithms.

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