Dataconomy

SEPTEMBER 22, 2023

By creating backups of the archived data, organizations can ensure that their data is safe and recoverable in case of a disaster or data breach. Databases are the unsung heroes of AI Furthermore, data archiving improves the performance of applications and databases. How can AI help with data archiving?

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. AWS AI and machine learning (ML) services help address these concerns within the industry.

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AWS Machine Learning Blog

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Generative artificial intelligence (generative AI) complements Amazon Textract to further automate document processing workflows. Generative AI is driven by large ML models called foundation models (FMs).

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IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

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AWS Machine Learning Blog

MARCH 29, 2023

Moreover, traditional search methods didn’t work well with unstructured data, therefore the evidence base was limited. To address this challenge, the IEO decided to use AI and ML to better mine the evaluation database for lessons and knowledge.

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IBM Journey to AI blog

JUNE 9, 2023

The collaboration harnesses the power of artificial intelligence (AI) to help organizations quickly apply data classification and context-aware analysis to APIs in their estate. Systematically detect potential malicious activity and use user-configurable policies to block attacks that may transpire.

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IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

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IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses. Data is exploding, both in volume and in variety.

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Towards AI

MAY 3, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. Step 1: Create an ML knowledge pool from historical ML tasks (from benchmark data) To facilitate the learning process from previous machine learning (ML) work, three ML benchmarks, namely HPO-B, PD1, and HyperFD, were employed.

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IBM Data Science in Practice

APRIL 26, 2024

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. Within this landscape, Cloud Pak for Data (CP4D) emerges as a pivotal platform.

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ODSC - Open Data Science

MARCH 17, 2023

Beauty in the AI of the Beholder The world tells countless stories. How can you use AI and open-source tools to tell new stories and gain new insights about the world? How Does Automated Penetration Testing Prevent the Theft of Important Data? This is leaving some authors unsure of their futures while others see opportunities.

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Pickl AI

APRIL 13, 2025

Pattern Recognition and Prediction Classification algorithms excel at recognizing patterns in data, which is crucial for: Predictive Analytics : By learning from historical data, classification models can predict future outcomes.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

By storing less volatile data on technologies designed for efficient long-term storage, you can optimize your storage footprint. For archiving data or storing data that changes slowly, Amazon S3 Glacier and Amazon S3 Glacier Deep Archive are available. He is passionate about automotive, AI/ML and developer productivity.

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phData

JULY 1, 2024

The recent Snowflake Summit 2024 brought plenty of exciting upcoming features, GA announcements, strategic partnerships, and many more opportunities for customers on the Snowflake AI Data Cloud to innovate. Snowflake plans to integrate NVIDIA’s AI Enterprise software into Snowflake Cortex AI.

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Dataconomy

AUGUST 31, 2023

Embracing AI systems and technology day by day, humanity is experiencing perhaps the fastest development in recent years. The goal of unsupervised learning is to identify structures in the data, such as clusters, dimensions, or anomalies, without prior knowledge of the expected output. Of course not.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Amazon Comprehend support both synchronous and asynchronous options, if real-time classification isn’t required for your use case, you can submit a batch job to Amazon Comprehend for asynchronous data classification. Yanyan Zhang is a Senior Data Scientist in the Energy Delivery team with AWS Professional Services.

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IBM Journey to AI blog

DECEMBER 19, 2023

Enlist enterprise records teams to study a set of data classification and retention patterns and enlist FinOps teams to assess for appropriate tagging and quota adherence. Build AuthN/AuthZ integration patterns that abstract nuances and standardize authentication and authorization of applications, data and services.

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Alation

JUNE 14, 2021

Dan Kirsch, Analyst, Hurwitz Associates, agrees that CISOs must take responsibility, when he says that “data protection is absolutely part of the CISO’s job. For this reason, smart CISOs are making sure that analytics and AI teams have data security in mind and are using secure data platforms. What do we know?

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Pickl AI

SEPTEMBER 3, 2024

Similarly, in healthcare, ANNs can predict patient outcomes based on historical medical data. Classification Tasks ANNs are commonly used for classification tasks, where the goal is to assign input data to predefined categories. They may employ neural networks to enhance predictive analytics and improve business outcomes.

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IBM Journey to AI blog

DECEMBER 19, 2023

This is caused by: Multiple first-mile reviews to ensure no adverse business impacts, including privacy concerns, data classification, business continuity and regulatory compliance (and most of these are manual).

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IBM Journey to AI blog

MAY 28, 2024

Data protection policies and procedures Data protection policies help organizations outline their approach to data security and data privacy.

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Pickl AI

DECEMBER 4, 2024

Introduction Artificial Intelligence (AI) has revolutionised numerous fields, and at the core of many AI applications lies a fundamental concept: the Perceptron. Key Takeaways A Perceptron mimics biological neurons for data classification. It uses weighted inputs to determine output decisions.

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Alation

AUGUST 26, 2021

So how does data intelligence support governance? Examples of governance features that leverage data intelligence include: A business glossary, with automated data classification, to align teams on key terms. Data lineage tracking and impact analysis reports to show transformation over time. Again, metadata is key.

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Alation

MAY 16, 2023

This makes it easier to compare and contrast information and provides organizations with a unified view of their data. Machine Learning Data pipelines feed all the necessary data into machine learning algorithms, thereby making this branch of Artificial Intelligence (AI) possible.

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IBM Journey to AI blog

OCTOBER 16, 2023

Contractual agreement and SLAs : When engaging with third-party vendors or cloud service providers, contractual agreements should explicitly address data sovereignty concerns. Service Level Agreements (SLAs) should detail how data will be collected, stored, processed and protected, aligning with the data sovereignty needs.

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phData

FEBRUARY 14, 2023

To keep up with the rapidly growing Insurance industry and its increasing data and compute needs, it’s important to centralize data from multiple sources while maintaining high performance and concurrency. Masked data provides a cost-effective way to help test if a system or design will perform as expected in real-life scenarios.

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phData

JUNE 20, 2024

Data as the foundation of what the business does is great – but how do you support that? The Snowflake AI Data Cloud is the platform that will support that and much more! It is the ideal single source of truth to support analytics and drive data adoption – the foundation of the data culture!

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Alation

MAY 16, 2023

This makes it easier to compare and contrast information and provides organizations with a unified view of their data. Machine Learning Data pipelines feed all the necessary data into machine learning algorithms, thereby making this branch of Artificial Intelligence (AI) possible.

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IBM Journey to AI blog

JULY 7, 2023

Best practices for proactive data security Best cybersecurity practices mean ensuring your information security in many and varied ways and from many angles. Here are some data security measures that every organization should strongly consider implementing. Define sensitive data. Establish a cybersecurity policy.

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Mlearning.ai

NOVEMBER 29, 2023

This means that it is best used for elaborating data classifications in conjunction with other efficient algorithms. For instance, when used with decision trees, it learns to outline the hardest-to-classify data instances over time. But the results should be worth it.

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Flipboard

MARCH 21, 2025

SageMaker Unified Studio provides a unified experience for using data, analytics, and AI capabilities. You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment.

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AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. Lets look at how generative AI can help solve this problem. Refer to Configure security in Amazon SageMaker AI for details.

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