Cloudera

JULY 18, 2018

Despite advances made in EHRs of late, they, unfortunately, do not provide advanced analytics or intelligent search for that matter. It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery.

Artificial Inteligence 51

Artificial Inteligence Machine Learning Analytics Healthcare 51

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.

Artificial Inteligence 268

Artificial Inteligence Strategy Data Machine Learning 268

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 example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Energy 81

Energy Analytics Data Machine Learning 81

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 111

Analytics Open Source Government Machine Learning 111

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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Big Data Analytics Tools Data 52

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

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OTS Solutions

NOVEMBER 14, 2023

There are many reasons why dentists are shifting towards digital IT solutions, but in this blog, we discuss the top 2 reasons why dental practices are adopting digital solutions so fast. Improving patient outcomes through predictive analytics Predictive analytics is transforming the way dental practices approach patient care.

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Technical Review Technology 3D Healthcare 130

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Altexsoft

FEBRUARY 1, 2019

According to McKinsey , machine learning and artificial intelligence in pharma and medicine are going to revolutionize the industries to help them make better decisions, optimize innovations, improve the efficiency of clinical and research trials, and provide for new tools for physicians, consumers, regulators, and even insurers.

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Artificial Inteligence Machine Learning Pharmaceuticals Artificial Intelligence 68

TechCrunch

MAY 5, 2022

. “Our goal is to not only level the playing field for independent businesses, but tilt it in their favor — turning their size and agility into their superpower,” Lütke said in a blog post detailing the acquisition. million in capital prior to the Shopify purchase.

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eCommerce Machine Learning Artificial Inteligence Retail 246

Datavail

MAY 11, 2021

Visual analytics tools are how businesses turn cold, hard data into clear, beautiful visualizations. The right choice of visual analytics tool will dramatically simplify your data visualization workflows, offering pre-built templates to convert datasets into visual representations (e.g. 5 Visual Analytics Tools for Data Visualization.

Analytics 52

Analytics Artificial Inteligence Artificial Intelligence Scalability 52

Kaseya

NOVEMBER 9, 2023

In this blog, we’ll delve into the advantages of the cloud and why it has become an indispensable tool for organizations of all sizes and across sectors. Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Perficient

FEBRUARY 16, 2024

In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate its usage. DBFS is a distributed file system that comes integrated with Databricks, a unified analytics platform designed to simplify big data processing and machine learning tasks. What is DBFS? How does DBFS work?

System 52

System Storage Azure Big Data 52

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

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Azure Architecture Analytics Data 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. You can host various other Node.js choices on Render such as Bun.js

Serverless 180

Serverless AWS Google Cloud Azure 180

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics? Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Cloudera

JANUARY 30, 2019

Cloudera Data Science Workbench is a web-based application that allows data scientists to use their favorite open source libraries and languages — including R, Python, and Scala — directly in secure environments, accelerating analytics projects from research to production. Install any library or framework (e.g. Register Now.

Machine Learning 76

Machine Learning Artificial Inteligence Data Open Source 76

Datavail

AUGUST 2, 2022

Considering a move to cloud analytics? Before you dive in headfirst, however, it’s important to understand what a cloud analytics migration will mean for your IT expenses. What are the Costs of Cloud Analytics? The costs of cloud analytics will vary depending on your technology stack. Analytics compute.

Analytics 52

Analytics Cloud Artificial Inteligence How To 52

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 108

Data Machine Learning Artificial Inteligence Automotive 108

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 66

Open Source Analytics Software Review Metrics 66

Perficient

FEBRUARY 28, 2023

This is the final blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Preprocessed data is created for statistical modeling and advanced analytics applications.

Data 110

Data Analytics Google Cloud Cloud 110

Cloudera

JUNE 27, 2023

When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions. Offload data from legacy, on-premises analytic platforms and appliances. On-premises analytic systems can often cost more than cloud-based alternatives.

Architecture 62

Architecture Data Government Machine Learning 62

Perficient

MARCH 7, 2024

Data Plane LinkedIn uses blob storage and HDFS for their data storage. HDFS is Hadoop-specific but most have interacted with Azure Blob Storage more recently and may even think that it’s a Microsoft-specific technology. Apache Iceberg is a table format that allows for high-performant analytics on huge table using SQL.

Open Source 52

Open Source Storage Comparison Policies 52

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

Hu's Place - HitachiVantara

OCTOBER 9, 2018

These Innovations include: DS7000 Scalable Servers , NVIDIA Tesla GPUs , All NVMe , and 3D XPoint storage memory. Each model can be smoothly upgraded to the next, preserving your investment in hardware and software as you grow, and compute modules can be individually configured to support a wide variety of compute and storage options.

3D 61

3D Scalability Storage Technology 61

Datavail

JUNE 22, 2023

The trends and topics at this event included data analytics, sustainability, application modernization, cloud migration and modernization, AI and machine learning, and operational excellence. Discover technologies like machine learning and serverless computing to gain valuable insights into revolutionizing your industry.

AWS 52

AWS Disaster Recovery Generative AI Storage 52

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise.

Technical Review 90

Technical Review Compliance Machine Learning Artificial Inteligence 90

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. Learn more about CDP Private Cloud here.

Cloud 89

Cloud Government Storage Analytics 89

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 94

Data Analytics Open Source Architecture 94

Infinidat

MAY 4, 2021

In Part 1 of this blog post , we discussed the history and definitions of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL), as well as Infinidat’s use of true Deep Learning in our Neural Cache software. and most of the better storage vendors do it. Adriana Andronescu.

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Artificial Inteligence Off-The-Shelf Storage Machine Learning 98

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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Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

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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Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive. sat-1 artificial intelligence chip filters them out so that only usable data is returned,” ESA said in a blog post.

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