Amazon SageMaker

AWS, Accenture and Anthropic Join Forces to Help Organizations Scale AI Responsibly

Retrieved on: 
Wednesday, March 20, 2024
Professional Services, Data Management, Technology, Software, Networks, Consulting, Artificial Intelligence, Automation, Organization, Forecasting, Amazon, Health, Knowledge management, Amazon SageMaker, News, AI, Insurance, Senior, AWS, Amazon Web Services, Safety, Public sector, Machine learning, Multimedia, Privacy, Marketing

In addition, organizations will gain access to a broad set of capabilities they need to build generative AI applications with security, privacy and responsible AI.

Key Points: 
  • In addition, organizations will gain access to a broad set of capabilities they need to build generative AI applications with security, privacy and responsible AI.
  • These accelerator services will enable clients to get their generative AI use cases into production faster than starting from scratch.
  • Accenture, through its Center for Advanced AI, has been providing automation and AI to organizations through its AI Navigator and GenWizard platforms.
  • Our efforts with AWS and Accenture provide the swiftest path for enterprises to responsibly deploy powerful generative AI systems.

MCE Uses AI to Fix “Broken” Device Care by Working with AWS

Retrieved on: 
Tuesday, March 19, 2024
Apps, Applications, Wearables, Mobile Technology, Mobile, Wireless, Technology, Other Technology, Telecommunications, Software, Hardware, Consumer Electronics, Artificial Intelligence, Health, Organization, Friction, Entrepreneurship, Amazon, Research, Artificial intelligence, News, AI, NPS, System, AWS, Amazon SageMaker, Churn, MCE, Amazon Web Services, API, Multimedia, Privacy, NVIDIA, FMS, Medical device

MCE Systems has collaborated with Amazon Web Services (AWS) to create a joint showcase that delivers the first digital, total-resolution device care experience for telcos and their customers.

Key Points: 
  • MCE Systems has collaborated with Amazon Web Services (AWS) to create a joint showcase that delivers the first digital, total-resolution device care experience for telcos and their customers.
  • View the full release here: https://www.businesswire.com/news/home/20240319872893/en/
    The new solution marks a breakthrough by combining the power of artificial intelligence (AI) solutions from MCE and AWS to change the way telco customers identify and resolve their device care issues for good.
  • Meanwhile, AWS adds the intuitive capabilities of generative AI through services like Amazon Bedrock and Amazon Sagemaker.
  • Please visit us at AWS Booth #708 to see the demo “Generative AI powered device and network care for gaming”.

Orca Security Adds AI Security to Cloud Security Platform

Retrieved on: 
Tuesday, March 19, 2024
Data Management, Security, Technology, Software, Networks, Artificial Intelligence, Cloud, Organization, OpenAI, TensorFlow, Environment, Risk, Research, Amazon SageMaker, BOM, AI, PyTorch, AWS, IAM, Access, ChatGPT, Intellectual property, Gartner, Medical device

Orca Security , the pioneer of agentless cloud security, today announced that the Orca Cloud Security Platform now offers integrated AI Security Posture Management (AI-SPM) and more, enabling organizations to leverage AI with high velocity without incurring undue risk.

Key Points: 
  • Orca Security , the pioneer of agentless cloud security, today announced that the Orca Cloud Security Platform now offers integrated AI Security Posture Management (AI-SPM) and more, enabling organizations to leverage AI with high velocity without incurring undue risk.
  • While AI tools provide outstanding business benefits, AI models often include sensitive data and intellectual property in their training data.
  • It is vital that cloud security providers cover AI tools and immediately identify when the cloud resources powering AI models are vulnerable.
  • Orca has been at the forefront of leveraging generative AI to augment and democratize cloud security, with ChatGPT, Azure OpenAI, Amazon Bedrock, and Google Vertex AI integrations, as well as AI-driven cloud asset search.

AWS and NVIDIA Extend Collaboration to Advance Generative AI Innovation

Retrieved on: 
Monday, March 18, 2024
Networks, Online Retail, Internet, Hardware, Data Management, Electronic Commerce, Technology, Artificial Intelligence, Semiconductor, Health Technology, Security, Retail, Health, Cloud, GTC, GPU, Artificial intelligence, EC2, NCC, Amazon, NVLink, KMS, Software, AWS, Chemistry, Amazon Elastic Compute Cloud, Catalog, EFA, Amazon SageMaker, Fabric discography, Organization, Drug discovery, Grace, Research, AI, Medtech, Robotics, NCC Group, NVDA, Digital, DGX, Biology, Workflow, Graphics processing unit, Amazon (company), AMZN, Multimedia, CPU, FMS, Video game

“Our collaboration with AWS is accelerating new generative AI capabilities and providing customers with unprecedented computing power to push the boundaries of what's possible."

Key Points: 
  • “Our collaboration with AWS is accelerating new generative AI capabilities and providing customers with unprecedented computing power to push the boundaries of what's possible."
  • Announced at AWS re:Invent 2023, Project Ceiba is a collaboration between NVIDIA and AWS to build one of the world’s fastest AI supercomputers.
  • NVIDIA research and development teams will use Ceiba to advance AI for LLMs, graphics (image/video/3D generation) and simulation, digital biology, robotics, self-driving cars, NVIDIA Earth-2 climate prediction, and more to help NVIDIA propel future generative AI innovation.
  • AWS and NVIDIA have joined forces to offer high-performance, low-cost inference for generative AI with Amazon SageMaker integration with NVIDIA NIM inference microservices, available with NVIDIA AI Enterprise.

CircleCI Launches Release Agent to Automate Release Orchestration

Retrieved on: 
Thursday, March 14, 2024
Networks, Data Management, Technology, Artificial Intelligence, Software, MTTR, Amazon SageMaker, Pressure, Policy, Engineering, M16, Environment, Safety, Video game

CircleCI , the leading continuous integration and continuous delivery (CI/CD) platform, today unveiled CircleCI releases , which enables developers to automate the release orchestration process directly from the CircleCI UI.

Key Points: 
  • CircleCI , the leading continuous integration and continuous delivery (CI/CD) platform, today unveiled CircleCI releases , which enables developers to automate the release orchestration process directly from the CircleCI UI.
  • CircleCI releases enables software teams to automate the progressive delivery process with support for Argo Rollouts , giving developers complete control over their releases.
  • Increased code confidence: With automated release orchestration, teams will definitively know that their code is working as intended.
  • Performance degradation prevention: Automate your release conditions and best practices into a release policy to act as guardrails.

AWS and FieldAlytics by Ever.Ag: A New Frontier in AI-Enhanced Crop Management and Sustainability

Retrieved on: 
Monday, March 18, 2024
Health, Farmer, Partnership, AWS, Amazon Web Services, Cloud computing, AG, Machine learning, Amazon SageMaker, Generative, Agriculture

FieldAlytics will be leveraging AWS's Generative AI on the SageMaker platform to introduce cutting-edge crop growth modeling and imagery change detection.

Key Points: 
  • FieldAlytics will be leveraging AWS's Generative AI on the SageMaker platform to introduce cutting-edge crop growth modeling and imagery change detection.
  • Ever.Ag solutions will transform agricultural decision-making and crop management with AWS' powerful cloud computing.
  • Through AWS's powerful cloud computing, built for machine learning, Ever.Ag agribusiness solutions are set to transform agricultural decision-making and crop management.
  • The collaboration introduces innovative tools for crop growth modeling and imagery change detection, enabling early intervention strategies and optimized crop management.

EQS-News: Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics

Retrieved on: 
Wednesday, March 13, 2024
Engineering, TensorFlow, Artificial intelligence, AI, ROI, Data management, Language, Ibis, Database, Data science, Organization, Ecosystem, Movement, Amazon SageMaker, PyTorch, Churn, Partnership, Medical device

With these new features, Espresso AI provides organizations with the tools needed to harness the power of their data for advanced AI-driven insights and decision-making.

Key Points: 
  • With these new features, Espresso AI provides organizations with the tools needed to harness the power of their data for advanced AI-driven insights and decision-making.
  • By leveraging Espresso AI, data teams are equipped to address business-critical needs such as demand forecasting, fraud detection, and churn prediction.
  • Exasol has enhanced its versatile query engine, Exasol Espresso , with Espresso AI, bringing AI and business intelligence (BI) together to enable better BI reports with predictive machine learning (ML) models.
  • Exasol AI Lab: A new container-based solution that allows data scientists to integrate Exasol’s in-memory analytics database into their preferred data science ecosystem to create optimized AI models faster and deploy them at scale.

Salesforce Launches Einstein 1 Studio: Low-Code AI Tools for Customizing Einstein Copilot and Embedding AI into Any CRM App

Retrieved on: 
Wednesday, March 6, 2024
Data Management, Education, Technology, Professional Services, Security, Training, Apps, Applications, Data Analytics, Software, Artificial Intelligence, Internet, Cloud, Collection, Amazon Web Services, AI, Carnegie Learning, SVP, Albert Einstein, Learning, Cohere, Create, LLM, Operation, Metadata, CRM, Trailblazer, MuleSoft, Amazon SageMaker, Apex, OpenAI, AWS, Workflow, Medical device

This enables businesses to deliver trusted AI experiences across Salesforce’s Einstein 1 Platform that are tailored to their customers’ needs.

Key Points: 
  • This enables businesses to deliver trusted AI experiences across Salesforce’s Einstein 1 Platform that are tailored to their customers’ needs.
  • Salesforce’s Einstein 1 Platform integrates the user interface, a variety of AI models, and data in a single metadata-driven platform.
  • Go deeper with Einstein 1 Studio: Salesforce admins and developers can use the following new Einstein 1 Studio tools to build the next generation of AI applications by customizing AI across every Salesforce app and workflow.
  • The tools include:
    Copilot Builder: Create AI actions to accomplish business tasks (beta) — Copilot Builder helps every company configure and customize Einstein Copilot for their business.

SingleStore Achieves the AWS Generative AI Competency

Retrieved on: 
Wednesday, March 6, 2024
Professional Services, Payments, Data Management, Data Analytics, Technology, Software, Artificial Intelligence, Cloud, Amazon S3, MSK, CMO, Amazon Elastic Compute Cloud, AI, VPC, Apache Kafka, SingleStore, Database, HTAP, S3, Infrastructure, Specialization, AWS Glue, Knowledge, Amazon, Amazon Web Services, Amazon SageMaker, APN, AWS, Sales

SingleStore , the data platform that allows you to transact, analyze and contextualize data in real time, today announced it has achieved the Amazon Web Services (AWS) Generative AI Competency in the category of Infrastructure and Data.

Key Points: 
  • SingleStore , the data platform that allows you to transact, analyze and contextualize data in real time, today announced it has achieved the Amazon Web Services (AWS) Generative AI Competency in the category of Infrastructure and Data.
  • This specialization recognizes SingleStore as an AWS Partner that helps customers and the AWS Partner Network (APN) drive the advancement of services, tools and infrastructure pivotal for implementing generative AI technologies.
  • Achieving the AWS Generative AI Competency differentiates SingleStore as an AWS Partner that has demonstrated technical proficiency and proven customer success supporting customer pain points and boosting customer experience.
  • “We’re excited to achieve the AWS Generative AI Competency at launch and know this will allow us to leverage AWS to provide our customers with the tools they need to succeed.”
    The AWS Competency Program aims to assist customers in connecting with AWS Partners who possess extensive knowledge and technical expertise in using AWS technologies and best practices to adopt generative AI.

DoiT Achieves the AWS Generative AI Competency

Retrieved on: 
Wednesday, March 6, 2024
Apps, Applications, Technology, Security, Fintech, Other Technology, Professional Services, Software, Networks, Data Management, Artificial Intelligence, Cloud, Building, Gartner, Deployment, LLM, Specialization, Mapletree Investments, Knowledge, Amazon, Amazon Web Services, Amazon SageMaker, APN, Partner, AWS, Partnership, Medical device

Achieving the AWS Generative AI Competency differentiates DoiT as an AWS Partner that has demonstrated technical proficiency and proven customer success supporting companies to determine internal readiness, identify specific use cases and develop custom end-to-end generative AI solutions.

Key Points: 
  • Achieving the AWS Generative AI Competency differentiates DoiT as an AWS Partner that has demonstrated technical proficiency and proven customer success supporting companies to determine internal readiness, identify specific use cases and develop custom end-to-end generative AI solutions.
  • We’re looking forward to supporting more and more companies in their generative AI journeys and driving meaningful business transformation.”
    The AWS Competency Program aims to assist customers in connecting with AWS Partners who possess extensive knowledge and technical expertise in using AWS technologies and best practices to adopt generative AI.
  • The AWS Generative AI Competency recognizes AWS Partners who deliver solutions to help customers with generative AI use cases, including:
    Adopting and strategizing generative AI;
    Building and testing generative AI applications;
    Training and customizing foundation models; and
    Operating, supporting and maintaining generative AI applications and models.
  • AWS Generative AI Competency Partners also protect customers' generative AI workloads and define responsible AI principles and frameworks.