Hacker Earth Developers Blog

JUNE 26, 2019

Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems. An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming.

Data 200

Data How To Recruiting Machine Learning 200

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 118

Artificial Inteligence Generative AI Security Applications 118

The Accidental Successful CIO

JANUARY 25, 2023

CIOs Need To Prepare For The Arrival Of AI CIOs can remember not all that long ago that AI was the exclusive domain of data scientists. However, now, industries as diverse as retailing, manufacturing, finance and insurance are taking advantage of new products that make it much easier for businesses to create AI tools specific to their needs.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. AMPs capture industry-specific, use-case-specific, and application-specific best practices to take the guesswork out of ML projects.

Machine Learning 85

Machine Learning Artificial Inteligence Telecommunications Enterprise 85

Cloudera

FEBRUARY 1, 2024

Implementing the right platform is half the battle won — so congratulations on your choosing Cloudera’s industry-leading hybrid data platform for building your data solutions on a foundation of trusted data. Stay tuned for upcoming blogs on managing Day 0 and Day 1 operations to optimize your upgrade.

Backup 85

Backup Architecture Cloud Resources 85

Cloudera

MAY 17, 2021

CDP (Cloudera Data Platform) Private Cloud 1.2 release blog ). In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. Beyond PVC 1.2.

Cloud 90

Cloud Machine Learning Artificial Inteligence Storage 90

ParkMyCloud

DECEMBER 11, 2020

If you know where to look, open-source learning is a great way to get familiar with different cloud service providers. . With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche. Blogs & Forums.

Google Cloud 97

Google Cloud Training Resources Cloud 97

O'Reilly Media - Ideas

JULY 1, 2019

As far as current levels of adoption, the answer depended on the industry sector. We found that in several industries, 30% or more of respondents described their organizations as having a mature AI practice: Figure 1. Stage of adoption of AI technologies (by industry). Image by Ben Lorica.

Software Development 63

Software Development Artificial Inteligence Software Machine Learning 63

Cloudera

SEPTEMBER 10, 2021

By more effectively leveraging its petabytes of current and historical data, the IRS is working to stave off costly fraud and waste, more efficiently deliver on fundamental missions, and better protect taxpayers, including from risks such as identity theft. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 70

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 70

Hacker Earth Developers Blog

JUNE 26, 2019

Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems. An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming.

Data 100

Data How To Recruiting Machine Learning 100

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Cloudera

JANUARY 27, 2021

We believe security is the cornerstone of any legitimate data platform, and we’re excited to announce that Cloudera has successfully achieved SOC 2 Type II certification for Cloudera Data Platform (CDP) Public Cloud. The post Cloudera Completes SOC 2 Type II Certification for CDP Public Cloud appeared first on Cloudera Blog.

Cloud 105

Cloud Disaster Recovery Software Review Technical Review 105

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Data Collection Using Cloudera Data Platform.

Data 112

Data Artificial Inteligence Analytics Machine Learning 112

Cloudera

NOVEMBER 1, 2022

These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity. Learn more about CDP Private Cloud here.

Cloud 92

Cloud Government Storage Analytics 92

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. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.

Data 96

Data Analytics Open Source Architecture 96

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. The Home Credit Default Risk problem is about predicting the chance that a customer will default on a loan, a common financial services industry problem set.

Artificial Inteligence 139

Artificial Inteligence Machine Learning Engineering Training 139

Cloudera

MAY 10, 2018

With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. This shift has created an unprecedented opportunity for disruption and problem-solving across industries. Enterprise machine learning.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Mobilunity

MAY 8, 2023

Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. The analytics zone may include tools for data visualization, machine learning, and predictive analytics.

Engineering 52

Engineering Data Storage AWS 52

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing.

Survey 145

Survey Data Technical Review Training 145

Cloudera

NOVEMBER 17, 2021

You know the one, the mathematician / statistician / computer scientist / data engineer / industry expert. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Artificial Inteligence 126

Artificial Inteligence Machine Learning Hotels Data Engineering 126

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud. IBM has been a decades long leader in open source innovation.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

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. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78

Cloud Google Cloud Azure AWS 78

Mobilunity

DECEMBER 21, 2022

One of the essential goals of sourcing and using data is to help businesses make better decisions, so they can be at the top of their industries. To do this effectively, many businesses employ data scientists. These experts help to collect, visualize, and make sense of all kinds of data correctly.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Cloudera

JUNE 7, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform.

Data 115

Data Architecture Analytics Government 115

Altexsoft

AUGUST 25, 2021

Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech. Sentiment analysis helps brands learn what the audience or employees think of their company or product, prioritize customer service tasks, and detect industry trends. Spam detection.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Capgemini

MARCH 16, 2023

The life sciences industry has long been driven by the need to develop and exploit solutions as quickly as possible, leading to it being very much at the forefront of technological innovation. Our XOps team is made up of several data engineers, software developers, some HPC specialists, and a small number of data scientists.

Pharmaceuticals 52

Pharmaceuticals Innovation Machine Learning Artificial Inteligence 52

Cloudera

JANUARY 15, 2021

Some examples of recent optimizations in Impala include: New multithreading model (see dedicated blog post ). Remote read optimizations: IMPALA-8341: Data cache for remote reads. Impala use of KRPC (see dedicated blog post ). Parquet page indexes (see dedicated blog post ). IMPALA-8690: Add LIRS cache eviction algorithm.

Performance 99

Performance Cloud Data Storage 99

Erik Bernhardsson

OCTOBER 27, 2015

I think people in academia often validate themselves in terms of things people in the industry don’t care about and things that doesn’t necessarily correlate with a successful career. I don’t consider myself a data scientist so not sure :). There’s a lot of definitions floating around about what a data scientist does.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Erik Bernhardsson

OCTOBER 27, 2015

I think people in academia often validate themselves in terms of things people in the industry don’t care about and things that doesn’t necessarily correlate with a successful career. I don’t consider myself a data scientist so not sure :). There’s a lot of definitions floating around about what a data scientist does.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Datavail

MARCH 31, 2022

Those that also apply directives from their data to operationalize their systems will be at the forefront of their industry. Your company can retain and grow its value into new economic opportunities by successfully adapting its business models to embrace evolving consumer and industry demands. The Significance of Strategy.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

Coforge

AUGUST 31, 2020

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Insurance 40

Insurance Technology Artificial Inteligence Policies 40

DevOps.com

DECEMBER 13, 2019

Cloudera put out a call this week for the IT industry to define a set of open standards for machine learning operations (MLOps) and machine learning model governance that could be universally applied.

Machine Learning 15

Machine Learning Artificial Inteligence Data Engineering Government 15

Mobilunity

DECEMBER 28, 2022

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. It’s used in a variety of industries to improve efficiency and accuracy.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Engineering How To 52

ParkMyCloud

JULY 30, 2019

One of the nice things about talking with ParkMyCloud users is that we get to see trends often before they are more widely recognized within the industry. The Databricks platform allows enterprises to build their data pipelines across data storage systems and prepare data sets for data scientists and engineers.

Azure 40

Azure AWS Analytics Machine Learning 40

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Conclusion.

Data 85

Data Analytics Cloud Technical Review 85

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos.

Data 48

Data Government Big Data Compliance 48