Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. From its origins in the 1950’s to today, the age of big data.

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Artificial Inteligence Machine Learning Big Data IoT 45

Hu's Place - HitachiVantara

JUNE 11, 2019

The global big data market is expected to grow at a CAGR of 22.4% Data analytics is expected to be the key driver for this market. However, the stocks of big data analytics vendors have been tanking in a way that is reminiscent of the dot com bust. So, what is happening?

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Invid Group

NOVEMBER 5, 2023

As technology advances, so does the amount of data that businesses generate and collect. To gain a competitive edge and make data-driven decisions, companies are turning to predictive analysis tools. The Rise of Predictive Analytics Predictive analytics uses past data and algorithms to predict future outcomes.

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Sunflower Lab

JUNE 8, 2023

Intelligent Healthcare Solutions for Remote Treatment Modoscript partnered with Sunflower Lab to improve the remote health monitoring of chronically ill patients through IoT. Instead of keeping to the usual pen-and-paper record approach, they have EHR and patient treatment data updated in real-time through Galen data.

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Apiumhub

AUGUST 20, 2018

This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. When analysing big data, or really any kind of data with the motive of extracting useful insights, a few key things are paramount. Clean your data.

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Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

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Gorilla Logic

JUNE 5, 2018

In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. In this post, I introduce IoT from an embedded software – or systems – perspective. On the other hand, if you don’t know what IoT is, then please make a quick search and we’ll wait for you. That got me thinking.

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Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

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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?

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Altexsoft

AUGUST 4, 2020

Eighty percent of financial services executives report the success of their big data investments, but the value of big data in a variety of industries transcends the financial. In healthcare, for instance, big data can play a real role in saving lives through disease prevention. A World of Big Data Tools.

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Artificial Inteligence Big Data Technical Review Healthcare 75

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.

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Google Cloud Training Resources Cloud 97

OverOps

SEPTEMBER 20, 2018

Follow us on Twitter for all the latest and greatest posts from our blog: New Post Splunk.conf 2018: The Top 7 Sessions You Can't Miss [link] #splunkconf18 pic.twitter.com/Pqxdivig4v. The Do’s and Don’ts That Every IoT Project Should Be Built On. Predicting London Crime Rates Using Machine Learning Toolkit.

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OTS Solutions

MAY 2, 2023

In this blog, we will be discussing what the Digital Transformation process is in business and how Digital Transformation technologies can impact your business growth. This blog outlines several Digital Transformation Technologies that organizations are leveraging to drive digital transformation.

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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.

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Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

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Datavail

APRIL 28, 2020

Since the term ‘ Internet of Things ‘ (IoT) was first coined in 1997, the global enthusiasm for its possible uses has exploded. Businesses and industries now rely on IoT-powered supply chains to track every widget from design to ultimate installation, and the data lakes it has generated are immense and growing.

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Capgemini

MAY 31, 2021

Continuous Touchless Demand Forecasting is defined by Capgemini Invent as a capability that capitalizes on Big Data, Artificial Intelligence, and Machine Learning to “ recognize historical patterns, select best-fit statistical models, and draw on a variety of inputs and forward-looking variables, (.)

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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. We are all thrilled to welcome them to our own team of talented professionals.

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Cloud Google Cloud Azure AWS 78

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.

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Xicom

JANUARY 4, 2023

In this blog post, we will explore the top 10 Android app development trends that are likely to dominate in 2023. The Internet of Things (IoT) has been a major trend in recent years and will continue to dominate in 2023. As a result, businesses will have more confidence in using IoT for their operations. 10) Big Data.

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CTOvision

JUNE 15, 2015

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

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Cloudera

JANUARY 26, 2022

Big Data” became a topic of conversations and the term “Cloud” was coined. . As the latest technology—edge computing, machine learning, and IoT—continues to evolve along with cloud computing, analysts are expecting hybrid cloud adoption to accelerate. . billion in 2020 and is expected to reach $145 billion by 2026.

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Cloud Data Architecture Virtualization 85

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways. Michael Ger:

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Capgemini

APRIL 21, 2020

My recent blog posts have described the changing nature of IT infrastructure, the demise of the on-premises data center, and the effects on traditional IT and I&O organizations. There’s another interesting aspect to consider: How does the digital transformation era impact channels organizations serving traditional IT organizations?

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Technical Review Innovation Software Review Development Team Review 52

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. .

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Data Artificial Inteligence Analytics Machine Learning 107

TIBCO - Connected Intelligence

MAY 18, 2021

Make sure to attend TIBCO Analytics Forum (TAF) 2021 , May 25-26, a virtual event that will feature inspiring stories from leading manufacturers and partners, including how to implement a modern digital factory and how to embrace technologies such as the cloud , IIoT , and big data analytics. What’s on the Agenda? Register Now!

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Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

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Analytics Open Source Government Machine Learning 109

Trigent

APRIL 14, 2022

Whether and how much work will return to the workplace (versus work from home) is a matter for a different blog. The data was being processed remotely by a cloud server, and response time was slow. The global pandemic of 2020 permanently changed our working dynamics. What is easily missed is how much the workplace has changed too.

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Coforge

AUGUST 6, 2020

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Airlines Travel Mobile IoT 52

Cloudera

FEBRUARY 12, 2019

Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data. 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

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Datavail

NOVEMBER 20, 2019

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. Back in January, the big data news portal Datanami put together a list of “10 Big Data Trends to Watch for 2019.” billion this year to $35.5

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Data Virtualization

APRIL 26, 2024

The post From Ego-centric To Eco-centric: Future-Proofing Energy and Utilites Operations appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Energy 59

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Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: .

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Cloudera

SEPTEMBER 25, 2018

At Strata Data , it appeared that artificial intelligence, machine learning, and the promise of game-changing insights from big data were at the forefront of everyone’s mind. The post Cloudera spotlights partner success at Strata Data with Partner Impact Awards appeared first on Cloudera Blog.

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Altexsoft

NOVEMBER 2, 2018

As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. The creation and development of these domestic – and mundane – smart objects have doubtless contributed to the still burgeoning popularity of the IoT.

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Hacker Earth

MARCH 29, 2018

IoT devices, sensors, and telematics have been fast gaining adoption in the insurance sector. AI algorithms can save millions lost to fraudulent claims by scouring data and identify errors and trends. Machine learning can be useful in evaluating risk and identifying cross-selling opportunities. Blockchain.

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