Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossible business challenges effectively and at scale.

Machine Learning 93

Machine Learning Artificial Inteligence Analytics Open Source 93

Cloudera

AUGUST 31, 2018

We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Witnessing these challenges, we focused on solving them through machine learning applied to workload and cluster optimization.

Machine Learning 67

Machine Learning Artificial Inteligence Analytics Engineering Culture 67

Cloudera

DECEMBER 8, 2020

Two years ago we wrote a research report about Federated Learning. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Federated Learning is no panacea. First, it makes data privacy easier.

Machine Learning 85

Machine Learning Artificial Inteligence Data Conference 85

Openxcell

JUNE 9, 2023

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? This blog explains all about Big Data Analytics, its trends, tools and more.

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Hacker Earth Developers Blog

JANUARY 18, 2023

Some of the best data science professionals we’ve worked with have unrelated degrees and have learned everything by themselves – either from online courses, Kaggle, blogs, or self-training. Ashutosh: AI, machine learning, and quantum computing are all rapidly advancing technologies that have a significant impact on data science.

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Perficient

MARCH 5, 2024

Today, we’re diving headfirst into the world of advanced reporting and analytics in Salesforce, with a special focus on leveraging Einstein Analytics to unlock the full potential of your data. Introducing Einstein Analytics So, what exactly is Einstein Analytics?

Analytics 59

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Perficient

JULY 26, 2023

This has led to the emergence of advanced analytics solutions that can turn raw data into actionable intelligence. Oracle’s answer to this call of action is Fusion Analytics Warehouse (FAW). In this blog post we will explore why Fusion Analytics Warehouse might be exactly what you need.

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N2Growth Blog

APRIL 19, 2024

By utilizing machine learning to streamline processes and leveraging data analytics to gain a deeper understanding of customer behavior, digital tools provide innovative solutions to today’s economic challenges. Yet, the rapid pace of technological evolution also embodies potent challenges.

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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.

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Machine Learning Artificial Inteligence Scalability Data Engineering 106

Cloudera

AUGUST 24, 2022

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. A machine with Docker tools installed.

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Machine Learning Artificial Inteligence Open Source Windows 81

Datavail

MARCH 8, 2022

were unsuccessful in fulfilling their aspirations of implementing Machine Learning (ML) systems in 2021. Just as there’s no end to the number of potential business challenges every organization faces, neither is there an end to the analytic possibilities offered by unique ML models. There’s No Reason Not To.

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Openxcell

APRIL 21, 2023

In today’s fast-paced world, Machine Learning is quickly changing the way various industries and our daily lives function. This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications.

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UruIT

JULY 23, 2019

Most recommended development and deployment platforms for machine learning projects. Are you getting started with Machine Learning? There’s a forecasted demand for Machine Learning among all kinds of industries. Innovative machine learning products and services on a trusted platform.

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Artificial Inteligence Machine Learning Azure Software Review 81

Cloudera

AUGUST 17, 2021

Dear Parents and Educators and Friends of Cloudera, If you are reading this blog, you know us at Cloudera as a group of self-described data geeks and data analysts. Our company mission is to make data and analytics easy and accessible, for everyone. However, data doesn’t just make a difference for enterprises. And we mean it.

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Machine Learning Artificial Inteligence Data Education 122

Invid Group

NOVEMBER 5, 2023

Why Predictive Analysis Tools will be Key for Businesses in 2024 BY: INVID In today’s fast-paced and ever-evolving business landscape, staying ahead of the competition has never been more challenging. To gain a competitive edge and make data-driven decisions, companies are turning to predictive analysis tools.

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Analysis Tools Machine Learning Artificial Inteligence 52

Cloudera

OCTOBER 30, 2023

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. Cloudera FinOps Capabilities CDP is a cloud-native platform helping companies accelerate cloud adoption to run their data and analytics workloads.

Analytics 77

Analytics Cloud Technical Review Resources 77

Altexsoft

FEBRUARY 3, 2020

The only way to exploit huge information bases is to use data analytics platforms. The Internet is packed with hundreds of options, so our goal is to help you out by presenting the 11 most effective data analytics tools for 2020. Data Analytics Definition, Stats, and Benefits.

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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. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

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Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. In this article we will discuss business analytics tools and use cases. “The

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TechCrunch

JANUARY 23, 2023

The consulting giant reportedly paid around $50 million for Iguazio, a Tel Aviv-based company offering an MLOps platform for large-scale businesses — “MLOps” referring to a set of tools to deploy and maintain machine learning models in production.

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InfoBest

SEPTEMBER 19, 2021

Machine learning development. In the case of companies looking to improve their workflows and to become more digital it is usually machine learning development, a branch of A.I. Machine learning development, compared to more classic A.I., Machine learning development, compared to more classic A.I.,

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Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. For this reason, the need to have a data platform that allows for a fine-tuned analysis and prediction of supply and demand becomes a necessary tool to operate the business in a more efficient and profitable way.

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Energy Analytics Data Machine Learning 81

Perficient

APRIL 2, 2023

Alteryx: A Comprehensive Overview Alteryx is a leading data analytics platform that helps businesses and organizations of all sizes to turn raw data into actionable insights. This comprehensive platform includes data preparation, blending, and analytics capabilities, along with tools for data governance, collaboration, and automation.

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Sunflower Lab

APRIL 2, 2024

That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making. But the truest transformation happens when you marry the art of prediction with the sophisticated canvas of tools that Microsoft Power BI offers.

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Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

SEPTEMBER 19, 2023

Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. This article explores the influence of analytics on marketing strategies, revenue management, guest personalization, and other aspects of the travel industry.

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N2Growth Blog

APRIL 11, 2024

In addition, a strategically designed succession plan serves as a tool to attract, engage, and retain top talent. Artificial Intelligence , machine learning, and data analytics have emerged as clear frontrunners.

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Trends Artificial Inteligence Technical Review Leadership 176

Cloudera

OCTOBER 13, 2021

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

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Machine Learning Artificial Inteligence Data IoT 75

Altexsoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics?

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Big Data Analytics Tools Applications 78

UruIT

AUGUST 4, 2021

Technologies such as data analytics, artificial intelligence, and machine learning can provide a huge help to healthcare institutions. . Read this article to discover five exceptional ways in which machine learning can support your digital health product. . Connecting Patients With Doctors.

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Cloudera

JUNE 26, 2023

Over time, using the wrong tool for the job can wreak havoc on environmental health. Take precaution using CDSW as an all-purpose workflow management and scheduling tool. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

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OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. AI and ML are transforming the way applications are developed and optimized.

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OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

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OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. AI and ML are transforming the way applications are developed and optimized.

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Datavail

MARCH 3, 2022

The tools used to gather and investigate data have evolved, too. Today’s advanced technologies provide data analytics programming to understand, learn from, and harness the values hidden deep in those data center depths. Business Intelligence = Analytics. Data Science = Business Intelligence.

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TechCrunch

FEBRUARY 26, 2021

Atlassian launched a machine learning layer, which relies on data on the platform with the addition of Atlassian Smarts last fall. Chartio co-founder and CEO Dave Fowler wrote in a blog post on his company website that the two companies started discussing a deal late last year, which culminated in today’s announcement.

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Datavail

SEPTEMBER 1, 2021

Should you move your data analytics to the cloud? What Do You Want from Your Data Analytics? We’ve done research on this question, and we’ve found that there are a variety of things businesses want: Self-service data exploration and discovery-oriented forms of advanced analytics. Organization-Wide Analytics. Scalability.

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Analytics Technical Review Cloud Data 97

Xebia

AUGUST 9, 2023

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. Demand forecasting is chosen because it’s a very tangible problem and very suitable application for machine learning.

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