Architecture, Machine Learning and Storage

Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. more machine learning use casesacross the company.

Machine Learning

Machine Learning Artificial Inteligence Data Architecture

Natural Language Processing & Machine Learning in Higher Education

Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. The primary data sources used in eLumen Insights are on the left-hand side of the architecture.

Artificial Inteligence

Artificial Inteligence Machine Learning Education Analytics

Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

NOVEMBER 1, 2023

Its architecture, known as retrieval-augmented generation (RAG) , is key in reducing hallucinated responses, enhancing the reliability and utility of LLM applications, making user experience more meaningful and valuable. An overview of the RAG architecture with a vector database used to minimize hallucinations in the chatbot application.

Artificial Inteligence

Artificial Inteligence Machine Learning Knowledge Base Architecture

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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Machine Learning Pipeline: Architecture of ML Platform in Production

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

Machine Learning Artificial Inteligence Architecture Training

How companies around the world apply machine learning

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

Machine Learning Artificial Inteligence Company Case Study

TransUnion transforms its business model with IT

CIO

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

Artificial Inteligence

Artificial Inteligence Generative AI Machine Learning Analytics

What is a data architect? Skills, salaries, and how to become a data framework master

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

Data Database Administration Data Engineering Artificial Inteligence

How to take machine learning from exploration to implementation

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

Machine Learning

Machine Learning Artificial Inteligence How To Case Study

Machine Learning with Python, Jupyter, KSQL and TensorFlow

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

Machine Learning Artificial Inteligence Scalability Data Engineering

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This structure is made efficient by data engineering practices that include object storage. What is a data lake?

Architecture

Architecture Data Storage Machine Learning

Five Ways A Modern Data Architecture Can Reduce Costs in Telco

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

Architecture Data Government Machine Learning

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise

Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

Artificial Inteligence

Artificial Inteligence AWS Lambda Metrics

Data collection and data markets in the age of privacy and machine learning

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

Machine Learning Artificial Inteligence Data Marketing

Prioritizing AI? Don’t shortchange IT fundamentals

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. At the beginning of 2023, Gartner reported only 15% of organizations already have data storage management solutions that classify and optimize data.

Artificial Inteligence

Artificial Inteligence Generative AI Software Review Development Team Review

Data lake architecture

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. A data lake provides centralized storage for the data of an enterprise or organization. Data Lake Architecture benefits. What is Data Lake? Data Lake stores all forms of data.

Architecture

Architecture Artificial Inteligence Data Machine Learning

Deploying Multiple Machine Learning Models on a Single Server

Exadel

DECEMBER 18, 2020

Many real-life Machine Learning (ML) use cases imply multi-tenant architecture and require training a model for every user. A common way to deploy Machine Learning models is to write a Flask service with a /predict endpoint and wrap it into a Docker container. Let’s take ML-driven sales forecasting.

Machine Learning

Machine Learning Artificial Inteligence Storage Training

Unlocking the Power of AI with a Real-Time Data Strategy

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s also used to deploy machine learning models, data streaming platforms, and databases. That’s not to say it’ll be easy.

Artificial Inteligence

Artificial Inteligence Strategy Data Machine Learning

MetalSoft aims to help manage server infrastructure through automation

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

Infrastructure Hardware Data Center Storage

Leaning into Retail’s Challenges with Digital Transformation

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? The chain is rolling out new hand-held devices that allow associates to easily check pricing and inventory availability in hand or from more than 40 feet away, which is helpful when serving customers and locating products in overhead storage.

Retail

Retail Minimum Viable Product Architecture Machine Learning

Leveraging Machine Learning and Artificial Intelligence for 5G

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. The Role of CableLabs.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Wireless

The Security of Enterprise Storage – A Call to Action for CISOs

Infinidat

AUGUST 24, 2023

The Security of Enterprise Storage – A Call to Action for CISOs Adriana Andronescu Thu, 08/24/2023 - 04:51 Cyber criminals can infiltrate an enterprise infrastructure and stay there, undetected, for months at a time. They aren’t only attacking primary storage; they also attack secondary storage.

Security

Security Storage Enterprise Malware

From edge to cloud: The critical role of hardware in AI applications

CIO

JUNE 6, 2023

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. Wired connectivity is also the lynch pin between the computing devices, the GPUs, storage, and memory. Artificial Intelligence, Machine Learning

Hardware

Hardware Artificial Inteligence Applications Wireless

The Hot Trend ? Security and Enterprise Storage Together

Infinidat

FEBRUARY 22, 2023

The Hot Trend − Security and Enterprise Storage Together Adriana Andronescu Thu, 02/23/2023 - 02:00 Cybersecurity and cyber storage resilience are usually treated separately in the enterprise. This exposes a huge gap in creating a comprehensive enterprise cybersecurity strategy. The debate about it is over. Now is the time for action.

Storage

Storage Trends Enterprise Malware

Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

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

Artificial Inteligence Applications Cloud Artificial Intelligence

EnCharge AI emerges from stealth with $21.7M to develop AI accelerator hardware

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

Hardware Development Machine Learning Artificial Inteligence

5 hot IT budget investments — and 2 going cold

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

Budget Artificial Inteligence Technical Review VR

Bringing AI to your organization? Better bring the right database

CIO

JUNE 7, 2023

This data in turn is used to train and serve machine learning models. You’ve created the right architecture to collect and store your data and the best way to keep costs low is to leverage what you have. The solution to a storage cost problem is not adding more storage; it’s finding ways to process your data in place.

Organization

Organization Artificial Inteligence Open Source Architecture

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence

Artificial Inteligence Generative AI Security Applications

Heartex raises $25M for its AI-focused, open source data labeling platform

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

Open Source Weak Development Team Artificial Inteligence Data

Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

AUGUST 17, 2023

In my recent endeavor, I explored a seamless integration of serverless architecture with the power of generative AI to auto-caption images on Google Cloud Platform (GCP). TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket. The result?

Generative AI

Generative AI Serverless Google Cloud Technical Review

AWS launches no-code service AppFabric with generative AI assistance

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

Generative AI AWS Artificial Inteligence Windows

What you can’t see can hurt you: the importance of full-stack observability

CIO

NOVEMBER 16, 2022

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

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Technical Review Software Review

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

APRIL 3, 2024

Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML). The following diagram illustrates the solution architecture. The following are the solution workflow steps: Download the product description text and images from the public Amazon Simple Storage Service (Amazon S3) bucket.

Artificial Inteligence

Artificial Inteligence Serverless Engineering Generative AI

What is a data engineer? An analytics role in high demand

CIO

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. What is a data engineer? Data engineer vs. data architect.

Data Engineering

Data Engineering Analytics Engineering Data

How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

OTS Solutions

JUNE 2, 2023

Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. This data can then be analyzed using machine learning algorithms to predict when maintenance is required.

Mobile

Mobile Artificial Inteligence Industry IoT

Designing Instagram

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

Machine Learning Artificial Inteligence Storage Media

Chronosphere raises $200M at a $1B+ valuation for cloud-native monitoring, adds granular, distributed tracing to its dashboard

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. Mao and co-founder Rob Skillington (CTO) founded Chronosphere on the back of early work that they started at Uber, where they built an observability platform very specific to Uber’s needs as a business.

Cloud

Cloud Sport Open Source Machine Learning

What is data governance? Best practices for managing data assets

CIO

MARCH 24, 2023

IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets. The integrated data catalog helps enterprises find, curate, analyze, prepare, and share data.

Government

Government Data Technical Review Policies

Storage Capacity is More of a Concern Than Performance

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

Enterprise Storage Forum recently published their 2018 Storage Trends survey which made some interesting observations. The biggest challenges for IT and business leaders with operating their current storage infrastructure were aging equipment and lack of storage capacity. EB shipped in 1Q 2018. EB shipped in 1Q 2018.

Storage

Storage Performance IoT Machine Learning

Why You Want To Use Looker Studio For Data Visualization on BigQuery

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data

Data Google Cloud Analytics Serverless

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

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. To learn more about the capabilities of Amazon Bedrock and knowledge bases, refer to Knowledge base for Amazon Bedrock.

Knowledge Base

Knowledge Base Artificial Inteligence Generative AI AWS

Modernizing Data Analytics Architecture with the Denodo Platform on Azure

Data Virtualization

JANUARY 19, 2023

The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Unfortunately, with data spread.

Azure

Azure Architecture Analytics Data

Microsoft Ignite: Nine Exciting Product Announcements and Key Takeaways

Perficient

NOVEMBER 24, 2023

Microsoft Fabric provides a unified data architecture and enables users to integrate key technologies such as Azure Data Factory, Azure Synapse Analytics, Power BI, and OneLake. GA of Azure Boost – a system that makes storage and networking faster by moving those processes off host servers onto purpose-built hardware and software.

Artificial Inteligence

Artificial Inteligence Azure Machine Learning ChatGPT

Real-time Data, Machine Learning, and Results: The Evidence Mounts

Natural Language Processing & Machine Learning in Higher Education

Webinars

Trending Sources

Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Webinars

Machine Learning Pipeline: Architecture of ML Platform in Production

How companies around the world apply machine learning

TransUnion transforms its business model with IT

What is a data architect? Skills, salaries, and how to become a data framework master

How to take machine learning from exploration to implementation

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Five Ways A Modern Data Architecture Can Reduce Costs in Telco

Artificial intelligence and machine learning adoption in European enterprise

Techniques and approaches for monitoring large language models on AWS

Data collection and data markets in the age of privacy and machine learning

Prioritizing AI? Don’t shortchange IT fundamentals

Data lake architecture

Deploying Multiple Machine Learning Models on a Single Server

Unlocking the Power of AI with a Real-Time Data Strategy

MetalSoft aims to help manage server infrastructure through automation

Leaning into Retail’s Challenges with Digital Transformation

Leveraging Machine Learning and Artificial Intelligence for 5G

The Security of Enterprise Storage – A Call to Action for CISOs

From edge to cloud: The critical role of hardware in AI applications

The Hot Trend ? Security and Enterprise Storage Together

Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

EnCharge AI emerges from stealth with $21.7M to develop AI accelerator hardware

5 hot IT budget investments — and 2 going cold

Bringing AI to your organization? Better bring the right database

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Heartex raises $25M for its AI-focused, open source data labeling platform

Leveraging Serverless and Generative AI for Image Captioning on GCP

AWS launches no-code service AppFabric with generative AI assistance

What you can’t see can hurt you: the importance of full-stack observability

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

What is a data engineer? An analytics role in high demand

How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

Designing Instagram

Chronosphere raises $200M at a $1B+ valuation for cloud-native monitoring, adds granular, distributed tracing to its dashboard

What is data governance? Best practices for managing data assets

Storage Capacity is More of a Concern Than Performance

Why You Want To Use Looker Studio For Data Visualization on BigQuery

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Modernizing Data Analytics Architecture with the Denodo Platform on Azure

Microsoft Ignite: Nine Exciting Product Announcements and Key Takeaways

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