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

O'Reilly Media - Data

JULY 17, 2018

Although machine learning (ML) can produce fantastic results, using it in practice is complex. Machine learning workflow challenges. MLflow: An open machine learning platform. Related resources: “Lessons learned turning machine learning models into real products and services”.

Machine Learning 180

Machine Learning Artificial Inteligence Software Review Open Source 180

DevOps.com

FEBRUARY 7, 2021

They are frequently turning to complex data for tasks like machine learning and artificial intelligence, which are becoming necessary to understand and reach customer segments across industries. The post Understanding Data Storage: Lakes vs. Warehouses appeared first on DevOps.com. However, understanding […].

Storage 145

Storage Artificial Inteligence Artificial Intelligence Data 145

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 81

Machine Learning Artificial Inteligence Weak Development Team Construction 81

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 286

Artificial Inteligence Generative AI Machine Learning Analytics 286

Erik Bernhardsson

AUGUST 4, 2016

I joined Spotify in 2008 to focus on machine learning and music recommendations. The cost of bandwidth and storage has gone down by an order of magnitude, not to mention the labor cost needed to build and maintain it. In the majority of all products, machine learning will not be a key differentiator in the first five years.

Machine Learning 124

Machine Learning Artificial Inteligence Sustainability System 124

CIO

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage. over the 2023-2027 forecast period 1.

Artificial Inteligence 246

Artificial Inteligence Storage Artificial Intelligence Retail 246

CIO

DECEMBER 14, 2023

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices. Doing so helps to ensure the final mile of AI deployment will run smoothly.

Generative AI 359

Generative AI Artificial Inteligence Artificial Intelligence Technical Review 359

CIO

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. It’s a fundamentals exam, so you don’t need extensive experience to pass.

Artificial Inteligence 317

Artificial Inteligence Data Machine Learning Azure 317

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 120

Machine Learning Artificial Inteligence How To Case Study 120

Erik Bernhardsson

AUGUST 4, 2016

I joined Spotify in 2008 to focus on machine learning and music recommendations. The cost of bandwidth and storage has gone down by an order of magnitude, not to mention the labor cost needed to build and maintain it. In the majority of all products, machine learning will not be a key differentiator in the first five years.

Machine Learning 100

Machine Learning Artificial Inteligence Sustainability System 100

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 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

InfoWorld

APRIL 30, 2024

Teradata is adding support for two open table formats, Apache Iceberg and Linux Foundation’s Delta Lake , to its multi-cloud analytics platform VantageCloud Lake and its AI and machine learning engine Unlimited AI. Typically, open table formats are architected to generate performance for data lakes using cloud-based object storage.

Linux 83

Linux Machine Learning Artificial Inteligence Storage 83

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

Apiumhub

JULY 8, 2021

Machine Learning Algorithms. Machine Learning (ML) algorithms improve automatically through experience and by the use of data, in order to make predictions or decisions without being explicitly programmed to do so. Data-driven innovation forms a key pillar in this century.

Machine Learning 52

Machine Learning Artificial Inteligence Analysis Innovation 52

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 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

O'Reilly Media - Data

JULY 18, 2018

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. In light of recent headlines ( Facebook and Cambridge Analytica ), the general public is much more aware of data collection, storage, and sharing.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

Dell EMC

JULY 18, 2019

The new Dell EMC DSS 8440 server accelerates machine learning and other compute-intensive workloads with the power of up to 10 GPUs and high-speed I/O with local storage. As high-performance computing, data analytics and artificial intelligence converge, the trend toward GPU-accelerated computing is shifting into high gear.

Artificial Inteligence 76

Artificial Inteligence Machine Learning Artificial Intelligence Storage 76

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. Introduction.

Machine Learning 131

Machine Learning Artificial Inteligence Data Applications 131

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. Solution components.

Machine Learning 52

Machine Learning Artificial Inteligence Storage Training 52

CIO

NOVEMBER 28, 2023

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization.

Artificial Inteligence 298

Artificial Inteligence Cloud Artificial Intelligence Analytics 298

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 101

Artificial Inteligence Artificial Intelligence Machine Learning Wireless 101

Infinidat

JULY 13, 2021

AIOps Supercharges Storage-as-a-Service: What You Need to Know. In an interesting twist, though, the deployment of Artificial Intelligence for IT Operations (AIOps) in enterprise data storage is actually living up to the promise – and more. But AI is not only inside the storage platform. Adriana Andronescu.

Storage 98

Storage Artificial Inteligence Artificial Intelligence Enterprise 98

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. But are they actually doing it?

Security 52

Security Storage Enterprise Malware 52

Altexsoft

NOVEMBER 17, 2021

As today’s digital storages can serve large amounts of items, it becomes difficult to categorize them manually. So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Technical Review Systems Review 75

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. Import the interactions data to Amazon Personalize from Amazon Simple Storage Service (Amazon S3).

Artificial Inteligence 79

Artificial Inteligence Machine Learning AWS Software Engineering 79

Cloudera

JANUARY 20, 2021

Machine learning is now being used to solve many real-time problems. This application demonstrates how PySpark is leveraged in order to build a simple ML Classification model using HBase as an underlying storage system. Make sure you read Part 1 and Part 2 before reading this installment. Background / Overview. GitHub Repo Link.

Machine Learning 111

Machine Learning Artificial Inteligence Applications Data 111

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 52

Storage Trends Enterprise Malware 52

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 290

Artificial Inteligence Strategy Data Machine Learning 290

TechCrunch

APRIL 19, 2022

So in 2018, Ko left Opendoor to set about solving the problem she was tired of dealing with by creating file storage for modern design workflows and processes. Or put more simply, she wanted to build a new kind of cloud storage that would serve as an alternative to Dropbox and Google Drive “built by, and for, creatives.”.

Meeting 226

Meeting Storage Video Cloud 226

TechCrunch

APRIL 16, 2021

For perspective, one exabyte of storage could hold 50,000 years of DVD-quality video.) In Anaconda’s 2020 State of Data Science survey of more than 2,300 data scientists, nearly a quarter of respondents said that their data science or machine learning (ML) teams lacked communication skills. Make the abstract more tangible.

Data 286

Data Machine Learning Artificial Inteligence Conference 286

TechCrunch

MAY 24, 2022

It also uses machine learning to predict spikes and troughs in carbon intensity, allowing customers to time their energy use to trim their carbon footprints. The company initially focused on helping utility customers reduce their electricity costs by shaving demand or turning to battery storage. founder and CEO Wenbo Shi said.

Energy 209

Energy Artificial Inteligence Machine Learning Storage 209

CIO

NOVEMBER 29, 2022

Amazon Web Services (AWS) is making a foray into supply chain management with the release of a machine-learning powered cloud application designed to help large enterprises, which often use multiple ERP systems, get a unified view of suppliers, inventory, logistics and other supply-chain related components. AWS will charge $0.28

AWS 182

AWS Machine Learning Artificial Inteligence Storage 182

TechCrunch

DECEMBER 6, 2022

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. “We have done quite a bit of work on AI and machine learning that’s not yet part of our software stack,” Roh added.

Infrastructure 184

Infrastructure Hardware Data Center Storage 184

Confluent

JANUARY 28, 2020

The combination of streaming machine learning (ML) and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache […].

Machine Learning 25

Machine Learning Artificial Inteligence Storage Scalability 25

TechCrunch

APRIL 12, 2022

“Searching for the right solution led the team deep into machine learning techniques, which came with requirements to use large amounts of data and deliver robust models to production consistently … The techniques used were platformized, and the solution was used widely at Lyft.” ” Taking Flyte.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202