Cloudera

APRIL 6, 2022

Webb’s gimbaled antenna assembly, which includes the telescope’s high-data-rate dish antenna, must transmit about a Blu-ray’s worth of science data — that’s 28.6 The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive.

Big Data 103

Big Data Artificial Inteligence Data Machine Learning 103

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. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

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. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

The Accidental Successful CIO

MAY 15, 2019

CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. As a CIO, when we think about big data we are faced with a number of questions having to do with the importance of information technology that we have not had to deal with in the past.

Big Data 85

Big Data Data Machine Learning Artificial Inteligence 85

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

CIO

JUNE 7, 2022

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. In business, predictive analytics uses machine learning, business rules, and algorithms.

Analytics 338

Analytics Data Analysis Business Analytics 338

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

DataRobot

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Conference Data Machine Learning 52

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

Kaseya

MAY 13, 2021

Fueled by the shift to remote and hybrid work environments and the need to digitally transform business during the global pandemic, the adoption of cloud computing has reached an all-time high. Needless to say, cloud services are in high demand today. But, what exactly is a cloud service provider? What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. What Exactly is Cloud Computing? What’s the Difference Between AWS vs. Azure vs. Google Cloud?

Google Cloud 52

Google Cloud Azure AWS Cloud 52

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 111

Data Google Cloud Analytics Serverless 111

CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. Jason Verge, "Hortonworks Becomes Official Google Cloud Feature". Hortonworks was already available on Microsoft''s Azure cloud, and Amazon''s AWS. Hortonworks Becomes Official Google Cloud Feature (datacenterknowledge.com).

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . But how did the hybrid cloud come to dominate the data sector?

Cloud 87

Cloud Data Architecture Virtualization 87

Cloudera

FEBRUARY 7, 2019

The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner. Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale.

Big Data 66

Big Data Analytics Google Cloud Cloud 66

Cloudera

JULY 15, 2019

At a time when machine learning, deep learning, and artificial intelligence capture an outsize share of media attention, jobs requiring SQL skills continue to vastly outnumber jobs requiring those more advanced skills. Educating Data Analysts at Scale. What We Teach. How to Enroll.

Big Data 58

Big Data Analysis Education Artificial Inteligence 58

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

CIO

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Sustainability Generative AI 130

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 53

Storage Performance IoT Machine Learning 53

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 109

Knowledge Base Artificial Inteligence Generative AI AWS 109

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 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

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. and Cloudera Manager version 7.4.4.

Cloud 112

Cloud Data Machine Learning Artificial Inteligence 112

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes believes it is an imperative for CIOs to view cloud computing as a critical element of their competitiveness. Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020.

Cloud 78

Cloud Google Cloud Azure AWS 78

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

CircleCI

SEPTEMBER 7, 2021

The cloud is gaining widespread adoption. For many organizations, cloud computing has become an indispensable tool for communication and collaboration across distributed teams. Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. the cloud can reduce costs, increase flexibility, and optimize resources.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Linux Academy

JANUARY 26, 2019

Cloud computing is not just about having virtual servers in an off-premises data center. Many organizations, such as Capital One and Salesforce, utilize cloud infrastructures to reduce costs and increase capacity to meet growing demand. Last but not least is cloud optimization. Last but not least is cloud optimization.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Xicom

MARCH 14, 2023

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Mobile Development 52

Mobilunity

MAY 20, 2021

Cloud engineering is a quickly developing industry that concerns all things cloud services. For example, everyone has cloud storage available on their smartphones or connected to their Google account. Cloud engineers deal with all types of tasks related to SaaS, PaaS, and IaaS services. rate each year.

Engineering 52

Engineering Cloud Google Cloud Azure 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. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Hu's Place - HitachiVantara

APRIL 11, 2019

Few Data Management Frameworks are Business Focused Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., What has changed since then?

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

OTS Solutions

MAY 2, 2023

Cloud computing: Cloud computing has become a critical technology in Enterprise Digital Transformation. It enables businesses to store, access, and process data remotely via the Internet. With cloud computing, businesses can improve operational efficiencies, reduce costs, and enhance workforce collaboration. are in line.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Existek

JANUARY 11, 2022

Why is cloud computing better than traditional on-premise environments? How to select the right cloud service provider? It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing. Cloud solutions have become unquestionably crucial for many industries and businesses.

Azure 52

Azure AWS Cloud How To 52

Infinidat

OCTOBER 4, 2023

Infinidat is very aware of the global cybersecurity threat and we help our enterprise customers by including core cyber resilience technology in all our enterprise storage solutions. You can learn more about ways to help at the National Cyber Alliance Website. And now even follow-on lawsuits against the companies for what happened.

Storage 72

Storage Development Team Review Malware Systems Review 72