Tools and Technologies Sample Clauses

Tools and Technologies. There are several tools and technologies that are commonly used for the analytics and ML layer. Amazon EMR is one of the solutions used. It provides built-in machine learning tools that leverage the Hadoop framework to create a variety of scalable ML algorithms like TensorFlow, Apache Spark MLlib, and Apache MXNet. EMR makes it easy to develop, visualize, and debug machine learning applications. Another option is Amazon SageMaker, which is a fully managed cloud-based ML service provided by Amazon Web Services (AWS). It aims to simplify the process of building, training, and deploying ML models by handling much of the underlying infrastructure. SageMaker supports a wide range of ML frameworks and algorithms, including popular frameworks such as TensorFlow or PyTorch. Besides, it allows implementing ML models, but also offers an option for users with no coding experience via visual interface. Morever, Kubeflow also can be used. It is a cloud-native platform designed for ML operations, encompassing pipelines, training, and deployment of ML models. Kubeflow simplifies the process of deploying machine learning workflows on Kubernetes by providing a platform for building, deploying, and managing multi-step ML workflows based on Docker containers. The development of the analytics and ML models is done commonly in Python, Pyspark and jupyter notebook, independently of the underlying technology. It allows use of the ML libraries such as Scikit-learn, Apache Spark MLlib, XGBoost, and TensorFlow. Using the R language with RStudio is also possible, however this option is much less frequent.

Tools and Technologies. Except for Supplier’s commercially licensed tools (including but not limited to TCS Mastercraft), all technologies, tools and accelerators utilized by Supplier in performance of the Services as set out in applicable SOWs and promoting efficiencies in performance of the Services shall be made known and made available to Allianz by the Supplier at no additional cost, for implementation and use in the delivery or Services to Allianz at the discretion of Allianz. The scope of use shall be restricted to Allianz, Eligible Recipient, Third Party Contractor and the Supplier.

Tools and Technologies. Client acknowledges that the Services may include, incorporate, and/or be performed using generative artificial intelligence tools or technologies (collectively, “GenAI”). ▇▇▇▇▇▇▇▇ takes steps reasonably designed to ensure that any GenAI included, incorporated, and/or used to perform the Services does not result in a breach of this Agreement or Applicable Law. To the extent outputs from GenAI that are not EVERSANA Know-How are incorporated into Arising Product Know-How, as between ▇▇▇▇▇▇▇▇ and Client, EVERSANA does not claim any right, title, or interest to such outputs except as otherwise set forth in this Agreement. Client acknowledges that the Fees and pricing offered to Client are made on the understanding that GenAI may be included, incorporated, and/or used to perform the Services. If Client requests that EVERSANA limit or modify the use of GenAI in connection with the Services, EVERSANA reserves the right to suspend the Services until an agreement on modified Fees and pricing has been reached.

Tools and Technologies. To ensure the successful implementation of AI solutions, LSPS Solutions will leverage state-of-the-art tools and technologies, including: ● Machine Learning Platforms: TensorFlow, PyTorch, and Scikit-learn for predictive analytics and modeling. ● Natural Language Processing (NLP): AI libraries like spaCy, GPT-based models, and NLP APIs to power citizen service bots and text analysis tools. ● Cloud Infrastructure: AWS, Azure, and Google Cloud for scalable and secure deployment of AI solutions. ● Data Integration: Tools like Apache Spark and Snowflake to handle large datasets and integrate AI outputs with existing systems.