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.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

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. The use of Cloudera Enterprise enables staff to focus on aviation and business challenges instead of worrying about monitoring the cluster or platform upgrades.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

CIO Business Intelligence

DECEMBER 11, 2023

Now, it’s time to pay for it, and that’s putting a spotlight squarely on the chief financial officer (CFO), who has increasingly become the gatekeeper deciding which projects get funded and how significantly AI will play a role in enterprise strategy. For the CFOs at the center of that transformation, the stakes are higher than ever.

Finance 104

Finance Forecasting IoT Predictive Modeling 104

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 109

Analytics IoT Data-driven Snapshot 109

bridgei2i

FEBRUARY 21, 2020

In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year. With that in mind, here are the latest growth drivers, trends, and developments that will likely shape the world of business data analytics in 2020: 1.

IoT 83

IoT Analytics Deep Learning B2B 83

IBM Big Data Hub

JUNE 20, 2023

Assets are the lifeblood of any successful business—from software programs tailored to meet an enterprise’s unique needs to a pipeline that stretches across oceans. One of the most important strategic decisions a business leader can make is how these assets are cared for over the course of their lifespans.

Strategy 78

Strategy Management Cost-Benefit IoT 78

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Overlooking these data resources is a big mistake.

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

IBM Big Data Hub

JANUARY 15, 2024

Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices. The Internet of Things (IoT) enables technologies to connect and communicate with each other.

Digital Transformation 78

Digital Transformation Internet of Things IoT Consulting 78

Smart Data Collective

OCTOBER 16, 2023

Big data generation is significant for enterprises transitioning from analog to digital workflows. Communication Communication is the data that you generate as a person. Social media, blogging, and microblogging are all essential communication data sources. IoT Sensors generate IoT data.

Big Data 98

Big Data IoT Cost-Benefit Advertising 98

AWS Big Data

APRIL 12, 2024

Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating.

Data Architecture 89

Data Architecture IoT Internet of Things Recreation/Entertainment 89

Ontotext

JANUARY 29, 2024

The combination of these graph technology stacks will enable enterprises to create better data management practices, where data analytics, reference data and metadata management, and data sharing and reuse are handled in an efficient and future-proof manner.

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

DECEMBER 6, 2023

Laying the data foundation The four pillars of DS Smith’s digital plan revolved around the management and optimization of data generated by industrial machines, energy providers, its supply chain, and customer experience. In total, the company’s operations rely on 700 applications.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter.

Analytics 97

Analytics Insurance IoT Risk 97

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. To take advantage of this data and build an effective inventory management and forecasting solution, retailers can use a range of AWS services.

Forecasting 73

Forecasting Management IoT Data-driven 73

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. What differentiates Fractal Analytics?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Cloudera

OCTOBER 13, 2021

What’s data analytics and why is everyone talking about it?”. or “What’s an IoT and what does it have to do with trucks?”. Hint: Data ingestion is the process of consuming excessively large volumes of data easily to enable enterprise analytics or to feed into ML models. .

Machine Learning 75

Machine Learning Internet of Things IoT Modeling 75

Smart Data Collective

JULY 19, 2019

Helping clients maximize the potential of the Internet of Things, Comarch provides a comprehensive ecosystem of IoT products that can handle connectivity and IoT solution management, alongside advanced analytics and IoT billing. Reinventing telecoms with the customer at the heart of operations.

Big Data 79

Big Data Internet of Things IoT B2B 79

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

CIO Business Intelligence

APRIL 6, 2022

Enterprises are increasingly moving towards bringing together a human-centric experience with innovations led by cutting-edge technologies. While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . Accelerate Innovation. Navigate Your Next Innovation.

Experimentation 102

Experimentation Data Lake Uncertainty Enterprise 102

erwin

OCTOBER 16, 2020

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role. 1 of erwin Insights 2020, our virtual conference on enterprise modeling and data governance/intelligence.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

CIO Business Intelligence

MAY 16, 2022

The concept of the edge is not new, but its role in driving data-first business is just now emerging. The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses. over last year.

IoT 98

IoT Data Warehouse Internet of Things Machine Learning 98

Smart Data Collective

SEPTEMBER 15, 2021

This very architecture ingests data right away while it is getting generated. It may consist of several components for different purposes, such as software for real-time processing, data manipulation and real-time data analytics. Processing of pieces of data in real-time is possible because of the streaming data option.

IoT 106

IoT Business Objectives Software Manufacturing 106

CIO Business Intelligence

AUGUST 9, 2023

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels. Deere & Co., They’re investing in automation and hyperautomation technologies.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

CIO Business Intelligence

OCTOBER 13, 2022

As businesses move forward on their modernization journey, it’s important to factor green IT considerations into the roadmap given the impact choices can have on overall enterprise sustainability goals. “As In fact, self-owned data centers and IT equipment are a major source of energy usage and carbon emissions for enterprises.

IT 57

IT Cost-Benefit Internet of Things IoT 57

bridgei2i

OCTOBER 8, 2021

We’ve now spent a decade in the business of driving digital transformation for enterprises across the globe. From being a pure-play analytics startup in a garage to a global AI partner for Fortune 500 companies… It’s been a remarkable and rewarding journey so far! AI For Digital Enterprises – Thought Leadership. Read Article.

Digital Transformation 52

Digital Transformation Contextual Data Consulting 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.

IoT 40

IoT Internet of Things Digital Transformation Machine Learning 40

CIO Business Intelligence

JUNE 29, 2022

Enterprises across industries have been obsessed with real-time analytics for some time. The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. There are some core components of a real-time data stack.

Interactive 98

Interactive Data-driven Data Architecture Software 98

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post.

Analytics 91

Analytics IoT Metadata Internet of Things 91

Cloudera

AUGUST 27, 2020

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 97

Internet of Things Data Lake Uncertainty IoT 97

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

erwin

JUNE 11, 2020

If the current investments that a business has is not as effective, then data intelligence tools can provide guidance on the best avenues to invest in. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

datapine

NOVEMBER 19, 2019

This can be done with the help of socializing ideas within an Enterprise Business Intelligence tool, be it with or without an Enterprise Social Network (ESN). Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? EXPERT OPINION]. Author Bio: . Website Link: [link] .

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

CIO Business Intelligence

APRIL 11, 2022

According to Seth Goldstrom, global leader for McKinsey ’s enterprise transformation team, failing to communicate the right change story, or not being able to align incentives for different parts of the business, or not bringing the right team and talent together are some of the reasons transformations fail. . Why is this?

Digital Transformation 97

Digital Transformation Internet of Things Strategy IoT 97

CIO Business Intelligence

JULY 12, 2023

Given this, we’re flexing our digital muscle across the enterprise and doubling down on AI to generate additional benefits for our business and our consumers. As a player in the IoT field we offer software and connected hardware to connect the physical and the real world,” says Hanna Hennig, CIO of Siemens. “We

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98