Certa, a leading no-code automation platform for procurement and compliance, announced the availability of its solution in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that makes it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). Certa customers can now enjoy simplified billing and flexible pricing with custom terms and payment options, and can also easily implement and manage Certa directly in AWS Marketplace. "AWS has helped empower Certa clients to scale at unprecedented rates, which we hope to multiply with our new availability in AWS Marketplace." As Certa currently uses AWS infrastructure within the product, the listing and ability to purchase compliments the solution and makes it even easier than ever to get started with Certa. New clients can leverage their committed AWS spend towards licensing Certa's no-code workflow automation solution.

These examples show you how to use SageMaker Processing jobs to run data processing workloads. These examples show you how to use SageMaker Pipelines to create, automate and manage end-to-end Machine Learning workflows. These examples show you how to train and host in pre-built deep learning framework containers using the SageMaker Python SDK. These examples show you how to build Machine Learning models with frameworks like Apache Spark or Scikit-learn using SageMaker Python SDK. These examples show how to use Amazon SageMaker for model training, hosting, and inference through Apache Spark using SageMaker Spark.

Expert.ai announced that its natural language (NL) API providing deep language understanding is now available in the AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). NL API is a powerful way to structure unstructured language data leveraging deep language intelligence with minimal effort. The API identifies which meaning of a word is used in context ("disambiguation") to quickly analyze text for key elements, relations, classifications and more. It can also determine sentiment and even capture a range of 117 behavioral and emotional traits, providing the richest, most comprehensive and granular emotional and behavioral taxonomy available throughout the AI-based API ecosystem. Furthermore, using built-in technologies and its extensive knowledge graph, the expert.ai NL API can be used in more targeted ways to identify sensitive data (to protect customers, victims, users or research subjects, as well as to comply with data privacy regulations), media-related topics, geographical taxonomies and more.

The year 2020 will be remembered for a lot of things, among them a global pandemic, social justice and a historic election. These grabbed center stage because they have huge societal implications. Another big trend in 2020 has been the rise of artificial intelligence (AI). Historically, AI has been used by scientific institutions, big pharma, oil and gas and other data-heavy industries. Today, all businesses are data-heavy, and AI is being infused into everything and is being made available everywhere.

AI Daily Roundup starts today! We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence, Machine Learning, Robotic Process Automation, Fintech and human-system interactions. We will cover the role of AI Daily Roundup and their application in various industries and daily lives. RingCentral, Inc. a leading provider of global enterprise cloud communications, collaboration, and contact center solutions, announced that the San Francisco Symphony is using RingCentral Video, part of its flagship product RingCentral Office, to connect with audiences virtually with fun and interactive entertainment.

Cloudinstitute.IO Teams up With Amazon Web Services as a Trusted Vendor on AWS Marketplace for Customers to Get Cloud Training and Certification Preparation on All the Top It Cloud Providers and Vendors CloudInstitute.io CloudInstitute.io is a cloud workforce readiness platform using AI and adaptive learning to enable, drive adoption and provide certification training for employees. The platform assesses cloud skills of employees against their specific cloud goals & objectives. Then it curates a personalized leaning path for each employee against the goals and provides managers insights into their employees' readiness for specific task and projects. To date our AI powered platform has been leveraged by organizations like California State University, City of Costa Mesa and Motion Picture Association of America (MPAA) among others, to fulfill their AWS training needs.

Machine learning (ML) lets enterprises unlock the true potential of their data, automate decisions, and transform their business processes to deliver exponential value to their customers. To help you take advantage of ML, Amazon SageMaker provides the ability to build, train, and deploy ML models quickly. Until recently, if you used Amazon SageMaker, you could either choose optimized algorithms offered in Amazon SageMaker or bring your own algorithms and models. AWS Marketplace for Machine Learning increases the selection of ML algorithms and models. In this post, you learn how to deploy and perform inference on the Face Anonymizer model package from the AWS Marketplace for Machine Learning.

Before you can build a successful machine learning (ML) algorithm that works in the real world, you must ensure that your data is appropriately annotated by human annotators. Creating accurate training data helps ensure better accuracy when you launch your ML models into production. Accurate training data also makes it more likely that you are creating a model that achieves your business goal in the real world. Without the ingestion of quality training data, ML models are useless. Poorly-labeled training data leads to poor-performing algorithms.

Get cost optimization recommendations based on your spend with secure read-only unintrusive access. In minutes, identify opportunities - right-sizing, reserved instance planning, idle/orphaned resource insights, for continuous cost optimisation. Get cost optimization recommendations based on your spend with secure read-only unintrusive access. In minutes, identify opportunities - right-sizing, reserved instance planning, idle/orphaned resource insights, for continuous cost optimisation.

The release goes on, "Compellon will launch on AWS Marketplace under the Artificial Intelligence (AI) category, delivering proven accessibility and solution options for customers, and exposing a broader audience to sophisticated and scalable prescriptive analytics capabilities that provide actionable insights in minutes. 'We are enthusiastic about bringing Compellon20 20's proven attributes to AWS Marketplace,' said Carv Moore, Compellon Chief Executive Officer. 'Being among the first the launch of the AI category on AWS Marketplace represents an amazing opportunity and an exciting new phase for Compellon as a leader in providing innovative analytics solutions to a broad audience. We look forward to enabling organizations to find greater success through predictive and prescriptive insights'."