David Menninger's Analyst Perspectives

MARCH 31, 2022

I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Another domain where real-time analyses are critical is internet of things (IoT) applications. Data is created constantly and increasingly is being collected simultaneously.

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Smart Data Collective

DECEMBER 20, 2019

As the Internet of Things (IoT) becomes smarter and more advanced, we’ve started to see its usage grow across various industries. Adoption is certainly ramping up, and the technologies that support IoT are also growing more sophisticated — including big data, cloud computing and machine learning. IoT can turn that around.

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Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality.

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Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. That’s where data analytics steps into the picture.

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Data Virtualization

OCTOBER 27, 2023

Reading Time: 3 minutes More and more companies are managing messages and events in real time using tools like Apache Kafka. Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

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AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

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Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

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Analytics IoT Cost-Benefit Big Data 91

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. The stories of organizations that have adopted streaming analytics speak for themselves.

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CIO Business Intelligence

DECEMBER 7, 2023

Then there’s the southern island of Kyushu, the tail-end of Japan, which is particularly prone to increasingly frequent and more intense disasters such as heavy-rain events, typhoons, and earthquakes. The data is gathered from paper records and advanced technology such as drones, the Internet of Things (IoT), and AI, live and static.

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IoT Internet of Things Forecasting Digital Transformation 108

CIO Business Intelligence

MAY 21, 2024

Unlike many other events, which consist of multiple racing teams and manufacturers, Porsche Carrera Cup Brasil provides and maintains all 75 cars used in the race. If I don’t do predictive maintenance, if I have to do corrective maintenance at events, a lot of money is wasted.”

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CIO Business Intelligence

DECEMBER 8, 2022

It’s the world’s largest cycling event, attracting 150 million TV viewers in Europe alone and 10 million fans across social media platforms. By embracing technologies such as artificial intelligence (AI), the Internet of Things (IoT) and digital twins, A.S.O. The Tour de France is many things. Amaury Sport Organisation (A.S.O.),

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Smart Data Collective

JANUARY 6, 2021

The time when people had to watch a one-sided sporting event is long gone, viewers can now play the game alongside through the mode of esports. In this article, we are going to look into the two advanced technologies – IoT and AI which have brought some tremendous changes to the sports sector. Track fans’ behavior.

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CIO Business Intelligence

JUNE 2, 2022

Real-time and predictive analytics is another hot technology for banks, with nearly 89% of survey respondents confirming that they are either in the planning, implementation or operational phases of using these technologies, the Forrester report shows. Interest in microservices remains relatively low compared to AI and analytics, however.

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Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.

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IBM Big Data Hub

DECEMBER 18, 2023

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management. ” can be answered by geospatial data and GIS.

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AWS Big Data

JANUARY 26, 2023

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Customers are already using Kinesis Data Analytics to perform real-time analytics on fast-moving data generated from data sources like IoT sensors, change data capture (CDC) events, gaming, social media, and many others.

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CIO Business Intelligence

FEBRUARY 13, 2024

ClimateForce is working to regenerate the area, and NTT is helping to support this effort using its own Smart Management Platform (SMP) Technology and Analytics. At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region.

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IoT Internet of Things Machine Learning Data Collection 59

Smart Data Collective

JUNE 26, 2019

While it might not take a mountain of data to spot a pattern, the more data that is available, the better the chances that the trend is not an anomaly, but an established event. The twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics. Advanced Analytical Processes in Insurance.

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CIO Business Intelligence

NOVEMBER 18, 2022

Technologies like the Internet of Things (IoT), artificial intelligence (AI), and advanced analytics provide tremendous opportunities to increase efficiency, safety, and sustainability. IoT sensors can detect gas and equipment leaks, temperature fluctuations, and vibrations to avoid catastrophic events and keep employees safe.

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CIO Business Intelligence

APRIL 11, 2022

Location details and facial recognition enhanced by video analytics and artificial intelligence will help them act faster and strengthen their safety. This combination allows the solution to apply advanced analytical processing to facilitate safety decision making. public events like concerts or marathons.

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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.

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Analytics Digital Transformation Risk Forecasting 108

CIO Business Intelligence

JULY 19, 2023

When IoT becomes the driver of a new solutions P&L, the general manager of that business will need more technology acumen than general managers of the past. The second is to bring IoT and AI-driven predictive maintenance services to adjacent markets. “By You need EQ not IQ to drive transformation,” Gupta says.

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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. In this post, we discuss how to streamline inventory management forecasting systems with AWS managed analytics, AI/ML, and database services.

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AWS Big Data

APRIL 12, 2024

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. This post explains how you can bring streaming data from AWS into Snowflake within seconds to perform advanced analytics. Bosco Albuquerque is a Sr.

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IBM Big Data Hub

APRIL 22, 2024

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

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IoT Internet of Things Cost-Benefit Reporting 84

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. It’s helpful to begin by thinking about what an event is.

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AWS Big Data

OCTOBER 3, 2023

For example, consider a critical Internet of Things (IoT) sensor from a cold storage facility that is continuously sending temperature and health data into an S3 data lake for downstream data processing and triggering actions like emergency maintenance. As of this writing, only the optimize-data optimization is supported.

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CIO Business Intelligence

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

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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

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IoT Unstructured Data Machine Learning Predictive Modeling 98

Smart Data Collective

NOVEMBER 12, 2021

Many institutions that lend capital to small businesses are relying more heavily on data analytics, AI and other data-driven technology than ever before. IOT (Internet of Things)- For those of you that already have their heads wrapped around technology, and the lingo that goes along with it, you already know what IOT means.

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O'Reilly on Data

SEPTEMBER 12, 2018

Below you'll find links to highlights from the event. Watch " Von Neumann to deep learning: Data revolutionizing the future.". --> AI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think). Watch " AI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think).".

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CIO Business Intelligence

JUNE 20, 2022

IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. Analytics is really important,” says Leonard, who declined the specify the analytics used but noted that it is Microsoft-friendly.

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AWS Big Data

DECEMBER 13, 2023

Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. Data silos causes data to live in different sources, which makes it difficult to perform analytics.

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Sisense

OCTOBER 15, 2020

Streaming data analytics is expected to grow into a $38.6 The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. The best architecture for that is called “event sourcing.”

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Data Science 101

JULY 31, 2019

The focus of the event is data in the cloud (migrating, storing and machine learning). Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. It is not just a conference or webinar, it will be an interactive online platform. You can pre-register for the conference now.

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Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. In fact, there’s no escaping the increasing reliance on such technologies.

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IBM Big Data Hub

FEBRUARY 29, 2024

These systems can be especially useful during natural disasters, cyberattacks or other events that may disrupt the power supply in a region. By integrating smart grids and Internet of Things (IoT) devices, businesses can better manage their energy use. How can your organization make its own contribution?

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