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

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

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

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

Cloudera

FEBRUARY 12, 2019

The age of artificial intelligence (AI) is now, and IoT, smart cities, and automation technology will only flourish, driving the influx of data sky-high and the need for data to be delivered at speed. 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

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

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

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

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

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 91

Storage Azure Technical Review Database Administration 91

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 41

Machine Learning Artificial Inteligence Data Analytics 41

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

Apiumhub

JULY 5, 2018

Today, companies like Alibaba, Rakuten, eBay, and Amazon are using Al for fake reviews detection, chatbots, product recommendations, managing big data, etc. Now, let’s go over some interesting data from a recent Ubisend report : • 1 out of 5 consumers is willing to purchase goods from a chatbot. •

Artificial Inteligence 66

Artificial Inteligence Artificial Intelligence Case Study eCommerce 66

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 106

Data Artificial Inteligence Machine Learning Hardware 106

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 92

IoT Industry Machine Learning Artificial Inteligence 92

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

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 86

Storage System Artificial Inteligence Big Data 86

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

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 68

Testing Big Data Tools Data 68

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. All these security capabilities deliver two important benefits to product strategies: .

Strategy 94

Strategy Data Technical Review Weak Development Team 94

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

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

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 75

Cloud Data Government Innovation 75

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. Only then does it become possible for data and logic to change independently without compromising the future runtime.

Architecture 90

Architecture Programming Microservices Serverless 90

Altexsoft

JULY 8, 2021

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. Alphonso – the US-based TV data company – proves this statement.

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2021

Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). AI, Machine Learning, and Data. The horse race?

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

O'Reilly Media - Ideas

JANUARY 25, 2022

Keep in mind that a title like Machine Learning in the AWS Cloud would match both terms.) The topic that clearly dominates this space is machine learning (ML): usage of AI plus artificial intelligence content is roughly 1/4 of ML plus machine learning. But these topics are relatively small and narrow.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 76

Data Analytics Government Technical Review 76

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Machine Learning Prototypes. Not available. Not available.

Cloud 83

Cloud Technical Review Storage Backup 83