AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

AWS Machine Learning - AI

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Highly automated operations – Our new recipes are designed to reduce your overhead for training and tuning the model.

Artificial Inteligence 86

Artificial Inteligence Machine Learning AWS Software Engineering 86

CableLabs

JUNE 18, 2019

Machine Learning (ML) and Artificial Intelligence (AI) can assist wireless operators to overcome these challenges by analyzing the geographic information, engineering parameters and historic data to: Forecast the peak traffic, resource utilization and application types. ML/AI-as-a-service offering for end users.

Artificial Inteligence 85

Artificial Inteligence Artificial Intelligence Machine Learning Wireless 85

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

AWS Machine Learning - AI

APRIL 8, 2024

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model.

Artificial Inteligence 93

Artificial Inteligence Applications Knowledge Base AWS 93

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 287

Artificial Inteligence Strategy Data Machine Learning 287

AWS Machine Learning - AI

APRIL 3, 2024

The key advantage is the ability to understand interactions and semantics between modalities like text, images, and audio through joint modeling. Solution overview The solution provides an implementation for building a large language model (LLM) powered search engine prototype to retrieve and recommend products based on text or image queries.

Artificial Inteligence 94

Artificial Inteligence Serverless Engineering Generative AI 94

O'Reilly Media - Data

JULY 18, 2018

Much of the focus of recent press coverage has been on algorithms and models, specifically the expanding utility of deep learning. Because large deep learning architectures are quite data hungry, the importance of data has grown even more. Economic value of data. Economic value of data.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

CIO

FEBRUARY 14, 2024

As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization. “If There’ll be a mix of large and small datasets,” he says. Managing Copilot isn’t just about permissions management,” he adds.

Artificial Inteligence 357

Artificial Inteligence Generative AI Software Review Development Team Review 357

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 329

Data Database Administration Data Engineering Artificial Inteligence 329

CIO

JUNE 6, 2023

In this new blog series, we explore artificial intelligence and automation in technology and the key role it plays in the Broadcom portfolio. Memory and storage The vast amount of data generated by AI workloads requires high-capacity storage solutions that can handle both structured and unstructured data.

Hardware 224

Hardware Artificial Inteligence Applications Wireless 224

Exadel

DECEMBER 18, 2020

Many real-life Machine Learning (ML) use cases imply multi-tenant architecture and require training a model for every user. The same goes for tax calculations, where it is illegal to combine the data obtained from different clients to train a single ML model; instead, we have to make predictions on a case-by-case basis.

Machine Learning 52

Machine Learning Artificial Inteligence Storage Training 52

AWS Machine Learning - AI

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. Access to Amazon OpenSearch as a vector database.

Artificial Inteligence 70

Artificial Inteligence Generative AI Data Knowledge Base 70

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs).

Knowledge Base 106

Knowledge Base Artificial Inteligence Generative AI AWS 106

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

JUNE 28, 2023

“When you create an app bundle, AppFabric creates the required AWS Identity and Access Management (IAM) role in your AWS account, which is required to send metrics to Amazon CloudWatch and to access AWS resources such as Amazon Simple Storage Service (Amazon S3) and Amazon Kinesis Data Firehose,” AWS wrote in a blog post.

Generative AI 335

Generative AI AWS Artificial Inteligence Windows 335

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CIO

FEBRUARY 13, 2023

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). Dental company SmileDirectClub has invested in an AI and machine learning team to help transform the business and the customer experience, says CIO Justin Skinner.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

NOVEMBER 16, 2022

Also, intelligent security insights across multicloud environments strengthen application security. Full-stack observability refers to real-time observability across an organisation’s technology stack – including applications, software-defined computing, storage and the network.

Artificial Inteligence 230

Artificial Inteligence Artificial Intelligence Technical Review Software Review 230

Perficient

NOVEMBER 24, 2023

Generative AI is the pinnacle of many of Microsoft’s new product announcements, including more Copilots, additional Azure features, new AI capabilities for large language models (LLMs) in Azure, and more. This year’s event featured close to 600 sessions on AI alone, which is unheard of among technology partners.

Artificial Inteligence 52

Artificial Inteligence Azure Machine Learning ChatGPT 52

CIO

JUNE 7, 2023

These leaders succeed with these real-time AI capabilities in large part because of their ability to aggregate massive amounts of real-time data from customers, devices, sensors, or partners as it moves through applications. This data in turn is used to train and serve machine learning models.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

TechCrunch

MAY 18, 2022

“Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

Apiumhub

MARCH 23, 2021

The concept of Data lake architecture has recently become a hot topic. Data lakes really became the cornerstones of modern big data architecture. It holds a large amount of raw data in its native form until businesses identify its use. A data lake provides centralized storage for the data of an enterprise or organization.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? These common challenges apply to retail organizations of all shapes and sizes – large and small, high-margin and low-margin, global and regional, online, and offline. It’s about making the data architecture data centric. It’s not just improving interfaces.

Retail 343

Retail Minimum Viable Product Architecture Machine Learning 343

CIO

JANUARY 4, 2023

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

Artificial Inteligence 148

Artificial Inteligence Data Center Artificial Intelligence Analytics 148

TechCrunch

DECEMBER 6, 2022

It’s tough in the current economic climate to hire and retain engineers focused on system admin, DevOps and network architecture. MetalSoft allows companies to automate the orchestration of hardware, including switches, servers and storage, making them available to users that can be consumed on-demand.

Infrastructure 184

Infrastructure Hardware Data Center Storage 184

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Architecture 62

Architecture Data Government Machine Learning 62

O'Reilly Media - Ideas

OCTOBER 3, 2023

Meta has released an open source dataset named FACET for testing AI models. The Toyota Research Institute has built robots with large behavior models that use techniques from large language models. This service allows you to use their infrastructure to train large language models at scale.

Artificial Inteligence 86

Artificial Inteligence Trends Open Source ChatGPT 86

TechCrunch

DECEMBER 14, 2022

Flash memory and most magnetic storage devices, including hard disks and floppy disks, are examples of non-volatile memory. “This is enabled by a highly robust and scalable next-generation technology, which has been demonstrated in generations of test chips, scaled to advanced nodes and scaled-up in architectures.

Hardware 216

Hardware Development Machine Learning Artificial Inteligence 216

CIO

FEBRUARY 27, 2023

This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand for data centre services further, as workloads are no longer confined to the core data centre and can run anywhere, including the edge.

Sustainability 245

Sustainability Innovation Artificial Inteligence Energy 245

AWS Machine Learning - AI

FEBRUARY 6, 2024

This solution uses the SageMaker JumpStart AI21 Jurassic Jumbo Instruct and AI21 Summarize models to extract and create the documents. The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. It captures the message ID returned by Amazon SQS.

Generative AI 95

Generative AI AWS Lambda Technical Review 95

Apiumhub

DECEMBER 27, 2023

Artificial Intelligence and Carbon Emissions She addressed the growing impact of Artificial Intelligence on carbon emissions, quoting Dr. Sasha Luccioni’s perspective on the illogicality of using AI to address environmental issues caused by activities like deforestation.

Sustainability 100

Sustainability Software Review Software Artificial Inteligence 100

High Scalability

JANUARY 11, 2022

Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience.

Machine Learning 133

Machine Learning Artificial Inteligence Storage Media 133