Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Together with Simudyne, Cloudera makes it possible.

Artificial Inteligence 42

Artificial Inteligence Machine Learning Analytics Big Data 42

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

CTOvision

OCTOBER 13, 2014

Understanding the Future of Big Data. If you want to know what’s coming next in big data, just ask yourself, “what would Google do? Accelerating Parkinson’s Research with Big Data Technologies. Data & The New Era of Interactive Storytelling. Sharmila Shahani-Mulligan (ClearStory Data).

Big Data 110

Big Data Fashion Media Machine Learning 110

Apiumhub

JANUARY 30, 2019

Niche fashion sites are a huge opportunity. Big Data analytics. With millions of customers buying products online, there is an infinite amount of data that generates every day. Every action made by the user turns into data and that data can be useful for the ecommerce site to know their target audience.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

CTOvision

DECEMBER 17, 2015

With the help of our readers during the nominations round and through some good old fashioned sleuthing on the Internet, we believe we've pulled together an all-star list of blogs. MUST-READ POST: This post , which looks ahead to the future of enterprise technology, including artificial intelligence and interactive advertising displays.

CTO 60

CTO Artificial Intelligence Artificial Inteligence Systems Administration 60

CTOvision

DECEMBER 30, 2019

Read Ronald Schmelzer’s article in Forbes about the ways in which the fashion industry is using AI: The fashion industry is just as much about creating demand and brand awareness as it is about the manufacturing of fashion products.

Fashion 16

Fashion Industry Apparel Artificial Intelligence 16

CTOvision

JANUARY 23, 2015

Editor''s note: Allen Bonde, of embedded analytics leader Actuate (now a subsidiary of OpenText), believes that the opportunities around Big Data, Internet of Things (IoT) and wearables are about to change our world – and that of business applications. - By Allen Bonde. billion mark. Look beyond the IoT buzz.

IoT 125

IoT Big Data Machine Learning Artificial Inteligence 125

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

FEBRUARY 12, 2019

Sitting on a goldmine of information, telcos are in a good position to harness data for actionable insights that can improve operations and seize new revenue opportunities. But a high data rate and reduced latency is exactly what 5G was built for.

Artificial Inteligence 40

Artificial Inteligence IoT Mobile Artificial Intelligence 40

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

ProtectWise

JUNE 2, 2017

It wasn't that long ago that we couldn't comprehend how to store and manage the vast volumes of data we create every day, never mind how to analyze it to reap its hidden value. Academia took care of detailed data analysis while businesses relied instead on good old-fashioned gut instinct.

Analytics 40

Analytics Artificial Inteligence Data Analysis 40

Protera

SEPTEMBER 25, 2018

The reasons, as we’ve said before, aren’t because of shiny new features, but good old-fashioned cost benefit analysis. New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. Cloud innovation in other areas has been just as rapid.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

Actian

JULY 26, 2019

Hybrid infrastructure support: How well does your future warehouse need to support the various current and future operational requirements of your organization by enabling secure access from anywhere, ingesting data in real time, and providing elasticity to increase or decrease compute and storage resources when you need to?

Cloud 40

Cloud Data Analytics Case Study 40

Netflix Tech

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

Machine Learning 71

Machine Learning Artificial Inteligence Systems Review Big Data 71

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. The major capabilities that improve day-to-days tasks of a platform / database administrator include the following: . Quantifying Operational Efficiencies.

Storage 96

Storage Azure Technical Review Database Administration 96

O'Reilly Media - Ideas

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Those algorithms packaged with scikit-learn? Cloud computing?

Data 108

Data Artificial Inteligence Machine Learning Hardware 108

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

CIO

JANUARY 20, 2023

But the benefits of BI extend beyond business decision-making, according to data visualization vendor Tableau , including the following: Data-driven business decisions: The ability to drive business decisions with data is the central benefit of BI.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

Actian

JANUARY 16, 2020

It feels like only yesterday that “Machine Learning” and “Artificial Intelligence” were equated with science fiction by most regular folks outside of tech. To reach reliable levels of accuracy, models require large datasets to ‘learn’ from. Intro to Privacy-Preserving Machine Learning .

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Technical Review 40

Cloudera

JULY 9, 2018

The three components of the data science iron triangle all have their challenges and strife. Only when organizations understand these challenges will they begin to harmonize and put them to work in a seamless fashion. Below we deconstruct three data science iron triangle dilemmas. How do I wrangle in my data science community?

Machine Learning 42

Machine Learning Artificial Inteligence Data Analytics 42

Cloudera

SEPTEMBER 15, 2022

Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency. Retail, where big data is used across all stages of the retail process—from product development, pricing, demand forecasting, and for inventory optimization in the stores.

Storage 88

Storage System Artificial Inteligence Big Data 88

Cloudera

SEPTEMBER 4, 2020

Machine learning and AI are going to be critical for Communication Service Providers (CSPs)to succeed in the future as traditionally telcos have always been data-rich but insight poor. . Hi Vijay, thank you so much for joining us again.

IoT 93

IoT Industry Machine Learning Artificial Inteligence 93

Capgemini

JANUARY 28, 2019

Fashion brands have reached just such an inflection point. SAP has introduced an industry-specific variant of its SAP S/4HANA ® next-generation ERP software: SAP S/4HANA for fashion and vertical business and SAP S/4HANA Retail for merchandise management – or, as we refer to them collectively, SAP S/4HANA Fashion.

Apparel 56

Apparel Fashion Artificial Inteligence Retail 56

TechCrunch

FEBRUARY 1, 2022

And, just as often, the term gets diluted down to meaninglessness in rapid fashion. The TechCrunch Top 3.5. WTF is a DAO : Often when a new tech term comes into being it has a narrow scope. You can add to that list. DAOs, or decentralized autonomous organizations, are undergoing a similar issue regarding precision.

Technical Review 197

Technical Review Software Review Construction Survey 197

O'Reilly Media - Ideas

JANUARY 26, 2022

Tim was seeing the pattern and was starting to think that what we now call “big data” was going to be the new source of proprietary lock-in and value. Cycles of fashion make the latest offerings worth more than last year’s perfectly good clothes. And it’s clear that large language models can already do many of those jobs.

Social 140

Social Artificial Inteligence Games Culture 140

Cloudera

FEBRUARY 28, 2024

On to aggregation After successfully replicating data in a prefixless fashion, its time move forward and aggregate the data from the other source cluster. This is the same amount of records that you produced in the source topic with kafka-producer-perf-test. MESSAGES IN” shows 2,000 records. Check our website for a test drive!

Testing 70

Testing Big Data Tools Data 70

Cloudera

AUGUST 20, 2021

First, they enable sharing of sensitive data across multiple user groups and large number of end users in a secure fashion via a programmatic, API-driven mechanism, thus accelerating client on-boarding and data product revenue realization. Processing Scalability: As we’ve previously demonstrated (e.g.,

Strategy 98

Strategy Data Technical Review Weak Development Team 98

ProtectWise

JANUARY 11, 2017

Starting in 2017, security companies will leveraging these technologies in their solutions to create the best, most intuitive user experience possible when dealing with exponential and ever growing amounts of big data. 2016 was a year of immense growth for the industry, and things won’t slow down in the new year.

VR 61

VR Big Data Fashion Enterprise 61

Netflix Tech

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing. append, overwrite, etc.).

Windows 84

Windows Software Review Data Engineering 84

Xicom

JULY 28, 2020

However, if you are also fascinated with this extensive feature and want it in your app too, make sure you align with a trusted mobile app development company who has the expertise of using Artificial Intelligence and Big Data as imperatives. Else, the products will be ready before they are even sold.

Analysis 52

Analysis Mobile Retail Development 52

Cloudera

AUGUST 24, 2020

Today we are continuing our discussion with Martin Mannion , EMEA Big Data Community lead at Deloitte and Paul Mackay, the EMEA Cloud Lead at Cloudera to look at why security and governance requirements must be tackled in the early stages of data-led use case development, thereby mitigating more work later on.

Cloud 81

Cloud Data Government Innovation 81

Coforge

AUGUST 20, 2019

In the digital communities that we live in, storage is virtually free and our garrulous species is generating and storing data like never before. And, with exponentially increasing computing power and newer chip architectures, Machine Learning (ML) has emerged as a powerful technique for building models over Big Data to predict outcomes.

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Getronics

MAY 24, 2019

All this will be achieved through a modern data center with automated service delivery and transformed IT operations that utilize multi-cloud integration. Rapid transformation is well underway in big data and analytics, machine learning, and clinical genomics and HPC. Precision Medicine.

Healthcare 40

Healthcare Technology Firewall Malware 40

Actian

JANUARY 24, 2020

For this final installment, I realized that the argument for migrating off flat files probably needs to be done in a more prescriptive fashion. Handle Big Data at the Edge. The third installment looked at why developers cling to the flat file systems.

Software Development 40

Software Development Software Development Off-The-Shelf 40

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Custom solution.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Confluent

FEBRUARY 13, 2019

Flexing consumers up and down, or cycling through a set of consumers on a controlled fashion like a Kubernetes operator means that rolling restart and elastic scaling are supported natively. We can add new processors to extract different sets of intelligence stored within the event streams.

Architecture 88

Architecture Programming Microservices Serverless 88

Altexsoft

JULY 8, 2021

For this purpose, they create propensity models. Built in a traditional statistical fashion, the accuracy of outcomes predictive tools provide isn’t always high. To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies.

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78