Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Digital Transformation 63

Digital Transformation Consulting Machine Learning IoT 63

IBM Big Data Hub

MAY 26, 2023

AWS is responsible for the operation, management and control of the components from the host operating system and virtualization layer down to the physical security of the facilities in which the AWS services operate. Given the rise of AI, ChatGPT and Web3.0,

Consulting 78

Consulting Cost-Benefit Optimization Machine Learning 78

Sisense

JUNE 25, 2020

To this end, the firm now collects and processes information from customers, stores, and even its coffee machines using advanced technologies ranging from cloud computing to the Internet of Things (IoT), AI, and blockchain. The right use of data changes everything. Delving deeper into the in-store experience. Going big by going mobile.

Big Data 98

Big Data Data-driven IoT Marketing 98

datapine

AUGUST 20, 2019

With the rapid increase in the number of IoT devices, volume and variance of data sources have magnified. Apart from automation, manual intervention in data ingestion can be eliminated by employing machine learning and statistical algorithms. Data Size: It implies the volume of data which is generated from various sources.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Hurwitz & Associates

APRIL 19, 2018

While it is impossible in a blog to explain all the nuances of Atos’s approach to the market, I want to provide some of my observations about this intriguing company. Atos is investing heavily in machine learning, artificial intelligence, and cognitive computing. Reliance on partnerships.

IT 40

IT Consulting IoT Strategy 40

Cloudera

SEPTEMBER 12, 2018

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: . Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz. Technical Impact. Societal Impact: .

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Process Analytics.

Testing 300

Testing Machine Learning Consulting Data Quality 300

IBM Big Data Hub

NOVEMBER 9, 2023

In 2021, Liquid Prep became an open-source software project hosted by the Linux Foundation. Open Horizon is complemented by IBM Edge Application Manager (IEAM), an enterprise-class offering that provides comprehensive support and a user-friendly management dashboard for easy machine learning deployment and workload management.

IoT 96

IoT Software Data Processing Machine Learning 96

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

MARCH 17, 2022

It is constantly generated – and always growing in volume – by an ever-growing range of sources, from IoT sensors and other connected devices at the edge to web and social media to video and more. The post Accelerate Agency Missions with Data in Motion appeared first on Cloudera Blog. The First Leg of the Data Journey.

IoT 81

IoT Cost-Benefit Data-driven Data Strategy 81

BizAcuity

MAY 10, 2022

And how this transformation will impact businesses in the short and long run is the main discussion in this blog. The platform is built on S3 and EC2 using a hosted Hadoop framework. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. Microsoft starts to offer Azure IoT Central and IoT Edge.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. The source code for the application is hosted the AWS Glue GitHub.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

BizAcuity

JUNE 16, 2022

Previous blogs covered cloud innovations and cloud adoption. Cloud infrastructure, as discussed in the previous blog, is quite vast. It is hosted by public cloud providers such as AWS or Azure and are the most popular of the lot. Ericsson believes that the future of IoT has the potential to be limitless. Fog Computing.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

Cloudera

JANUARY 3, 2019

Our pre-merger customer bases have very little overlap, giving us a considerable enterprise installed base whose demand for IoT, analytics, data warehousing, and machine learning continues to grow. Every large company we work with is eager to adopt machine learning and AI, but unsure how to do so.

IoT 74

IoT Machine Learning Data Warehouse Enterprise 74

IBM Big Data Hub

DECEMBER 11, 2023

With the advent of enterprise-level cloud computing, organizations could embark on cloud migration journeys and outsource IT storage space and processing power needs to public clouds hosted by third-party cloud service providers like Amazon Web Services (AWS), IBM Cloud, Google Cloud and Microsoft Azure.

Cost-Benefit 110

Cost-Benefit Data Processing Strategy Software 110

IBM Big Data Hub

DECEMBER 20, 2023

AWS, Google Cloud Services, IBM Cloud, Microsoft Azure) makes computing resources—like ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms—available to users over the public internet. shifting legacy apps to the cloud).

Strategy 102

Strategy Cost-Benefit Digital Transformation Optimization 102

Cloudera

SEPTEMBER 6, 2022

It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. The post Modern Data Architecture for Telecommunications appeared first on Cloudera Blog. This is not a single repository, nor is it limited to the storage function.

Data Architecture 82

Data Architecture Cost-Benefit Digital Transformation Business Driver 82

CIO Business Intelligence

DECEMBER 7, 2023

Delinea This blog will focus on logical security controls for enterprise resilience in the form of Privileged Access Management (PAM). An explosion of workstations, servers, containers, IoT, and mobile devices has opened opportunities for hackers to exploit. We’ve all invested in these areas, yet we’re still being breached.

Enterprise 105

Enterprise Cost-Benefit Risk Data Processing 105

IBM Big Data Hub

FEBRUARY 6, 2024

Here’s a rundown of the most common cloud computing services available from the major CSPs—Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure—and other cloud services providers like VMware : Software-as-service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software (e.g.,

Cost-Benefit 108

Cost-Benefit Digital Transformation Software Modeling 108

IBM Big Data Hub

JANUARY 29, 2024

The AI learns from what it sees around it and when combined with automation can infuse intelligence and real-time decision-making into any workflow. An example is machine learning, which enables a computer or machine to mimic the human mind.

Digital Transformation 73

Digital Transformation Consulting Internet of Things Recreation/Entertainment 73

IBM Big Data Hub

NOVEMBER 3, 2023

In addition to its improvement in data storage capacity and transfer technology, NVMe also contributed to the development of other important technologies that were developing around the same time, including the Internet of Things (IoT) , artificial intelligence (AI) and machine learning (ML). appeared first on IBM Blog.

Cost-Benefit 76

Cost-Benefit Enterprise Internet of Things Technology 76

Cloudera

MAY 25, 2021

I had introduced Cloudera SQL Stream Builder in my earlier blog pos t and how it augments the powerful stream processing capabilities of the Cloudera DataFlow (CDF) platform by accelerating time to market and democratizing access to real-time data using continuous SQL. Liberate access to self-service analytics for any user persona.

Insurance 70

Insurance Data-driven IoT Manufacturing 70

IBM Big Data Hub

MARCH 20, 2024

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

Internet of Things 97

Internet of Things Cost-Benefit Data Processing IoT 97

Cloudera

MAY 18, 2021

CDP Public Cloud leverages the elastic nature of the cloud hosting model to align spend on Cloudera subscription (measured in Cloudera Consumption Units or CCUs) with actual usage of the platform. Machine Learning Prototypes. that optimizes autoscaling for compute resources compared to the efficiency of VM-based scaling. .

Cost-Benefit 84

Cost-Benefit Data-driven Data Warehouse Machine Learning 84