Mage Data
Informatica
DATPROF Privacy
Immuta
Micro Focus ALM
IRI CoSort
RedGate SQL Monitor
BMC Compuware ISPW
Amazon SageMaker
TensorFlow
IBM Watson Studio
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Salesforce Einstein
Mage™ is the leading solutions provider for data security and data privacy software for global enterprises. Built upon a patented and award-winning solution, the Mage platform enables organizations to stay on top of privacy regulations while ensuring security and privacy of data. Top Swiss Banks, Fortune 10 organizations, Ivy League Universities, and Industry Leaders in the financial and healthcare businesses protect their sensitive data with the Mage™ platform for Data Privacy and Security. Deploying state-of-the-art privacy enhancing technologies for securing data, Mage™ delivers robust data security while ensuring privacy of individuals.
Visit www.magedata.ai to explore the brand’s new website and to check out the company’s solutions.
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Mage Data's answer
Mage is targeted towards enterprises that have a diverse data landscape – from mainframes to relational databases, to more modern cloud-based databases, file servers (on-premise or on-cloud) as well as SaaS application. From a single, enterprise-wide platform, Mage enables stakeholder collaboration to drive data security policy through the use of patented solutions, including data discovery and classification, the use of privacy enhancing/preserving techniques, static & dynamic data masking, database activity monitoring, DSAR automation, etc. Using a zero-trust, no-code approach, Mage enables enterprise-wide security, regulatory compliance by taking a risk-elimination approach. We have enabled global leaders share data confidently while reducing the risk of carrying sensitive data by up to 95%.
The Mage platform holistically provides coverage for data security right from data discovery, data anonymization, activity monitoring, and Data Subject Access Rights Automation all in a single solution.
Mage Data's answer
• One-stop shop for data security
• Built from the ground up – so shared intelligence, easy deployment, etc Most, if not all competition products are built through acquisitions or partnerships, and are rarely built from the ground up. The Mage platform is a single, integrated platform that has been purpose-built to solve the issue of data security faced by global enterprises. Being a single integrated platform, each of the product modules work seamlessly across the platform and the intelligence can be shared across the modules. While Mage provides capabilities within the individual modules, it can also integrate seamlessly with existing solutions that organizations may possess to ensure smooth functioning with the IT landscape of the customer.
• Unlike most of our competitors, the Mage platform is compatible with a wide variety of data stores that include both, the legacy data stores, as well as the new gen data stores, hosted on either cloud or on-premise.
Mage Data's answer
You can read our story at https://magedata.ai/company/about/brand-story/
Based on our record, Amazon SageMaker seems to be more popular. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / 25 days ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 2 months ago
Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 4 months ago
Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: 12 months ago
And there have been several platforms that help fine-tune pretrained models, such as Google Cloud AutoML and Amazon Sagemaker. These tools are often fairly easy to use, but they come at a cost. They can be expensive, depending on the size of your dataset. Another option is Finetuner+, that also fine-tunes like AutoML and Sagemaker. The big advantage is that you don't need to transfer your data to other GPUs,... Source: about 1 year ago
Informatica - As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
DATPROF Privacy - ✔ Mask or anonymize privacy sensitive data ✔ Generate synthetic test data ✔ Consistent over multiple applications and databases
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
Immuta - Immuta is a decent and well-regarded Universal Cloud Data Access Control that provides multiple capabilities to empower operations teams, and data engineers automate data access control throughout various phases of their cloud data infrastructure wi…
Azure Machine Learning Studio - Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
