Cloudera

DECEMBER 7, 2022

The data innovation that I was most excited to learn about though is the implementation of a human-in-the-loop (HITL) machine learning (ML) solution to assist referees in more accurately calling offsides. What is human-in-the-loop machine learning? A world-class machine learning solution.

Machine Learning 71

Machine Learning Modeling IoT Reporting 71

Rocket-Powered Data Science

MARCH 19, 2021

One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

MARCH 6, 2024

continues to roll out, the internet of things (IoT) is expanding, and manufacturing organizations are using the latest technologies to scale. Marrying machine learning with crowdsourced telemetry and passive identification technology enables organizations to rapidly assess and score risk for everything and everyone that you can now see.

ROI 126

ROI Manufacturing Cost-Benefit IoT 126

O'Reilly on Data

OCTOBER 31, 2019

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Watch “ Personalization of Spotify Home and TensorFlow “ TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow. Watch “ Opening keynote “ Accelerating ML at Twitter.

IoT 190

IoT Machine Learning Modeling Software 190

Cloudera

OCTOBER 13, 2021

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

Machine Learning 74

Machine Learning Internet of Things IoT Modeling 74

Smart Data Collective

JUNE 26, 2019

Python is arguably the best programming language for machine learning. However, many aspiring machine learning developers don’t know where to start. They should look into the scikit-learn library, which is one of the best for developing machine learning applications. Advanced probability modeling.

Machine Learning 77

Machine Learning Statistics Testing IoT 77

BizAcuity

JULY 22, 2019

This is the era of IoT (the Internet of Things). This data is gathered by the Internet of Things (IoT) devices. The power to optimize this gathered data lies in working with Machine Learning models that can replicate real-time scenarios. Fleet management is the latest to join this revolution.

IoT 93

IoT Management Internet of Things Optimization 93

CIO Business Intelligence

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Model sizes: ~5 billion to >1 trillion parameters. Model sizes: ~Millions to billions of parameters. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

O'Reilly on Data

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

IoT 204

IoT Machine Learning Internet of Things Data Science 204

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

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. CIOs and CDOs should lead ModelOps and oversee the lifecycle Leaders can review and address issues if the data science teams struggle to develop models.

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

CIO Business Intelligence

MARCH 30, 2022

The advent of digital technologies has had a major impact on the business, in both what services it delivers and how it delivers them, including IoT (internet of things) technologies and predictive maintenance capabilities. Have you changed your IT operating model to support the move from 13 business units to three sectors?

Modeling 98

Modeling IT IoT Internet of Things 98

IBM Big Data Hub

APRIL 19, 2024

This approach provides actual real data points for ESG reporting instead of model-based assumptions, which helps reduce carbon footprint and achieve sustainability goals. Each step in the journey demands adopting new processes and ways of working, which dedicated best practice tools and optimization models support.

Management 93

Management Internet of Things Risk IoT 93

Rocket-Powered Data Science

JULY 19, 2023

The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage. One could say that sentinel analytics is more like unsupervised machine learning, while precursor analytics is more like supervised machine learning.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

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.

IoT 85

IoT Internet of Things Cost-Benefit Reporting 85

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. AI is about simulating intelligent behavior in machines that carry out tasks ‘smartly’. AI tries to imitate natural human intelligence or the cognitive functions that humans perform using their mind such as learning and problem-solving.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Analytics Vidhya

APRIL 25, 2024

Inspired by attention-based models, it revolutionizes facial recognition technology. Introduction GhostFaceNets is a revolutionary facial recognition technology that uses affordable operations without compromising accuracy.

Visualization 306

Visualization Modeling Technology Analytics 306

IBM Big Data Hub

JANUARY 15, 2024

Companies are rethinking their business models to become more digital and competitive. Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools.

Digital Transformation 78

Digital Transformation Internet of Things IoT Consulting 78

CIO Business Intelligence

FEBRUARY 22, 2024

Since its creation over five years ago, the Digital Hub has included a team of experts in innovation, technologies, and trends — such as IoT, big data, AI, drones, 3D printing, or advances in customer experience — who work in concert with other business units to identify and execute new opportunities.

IT 105

IT Digital Transformation IoT Cost-Benefit 105

CIO Business Intelligence

FEBRUARY 13, 2024

It aims to regenerate a section of Australia’s Daintree Rainforest while also establishing sustainable and cost-effective models for environmental restoration efforts around the world. At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region.

IoT 59

IoT Internet of Things Machine Learning Data Collection 59

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Learn more about this here. Chatbots, voice assistants, and language translation services can operate locally using NLP models. over the 2023-2027 forecast period 1.

Forecasting 98

Forecasting Optimization Advertising IoT 98

Timo Elliott

DECEMBER 14, 2023

For example, if your IoT sensors are recording random numbers, you obviously can’t get anything useful out of them. Machine learning algorithms can capture the underlying patterns that (probably) generated the observed, messy data. Large language models are very good at dealing with some types of messy data.

Machine Learning 64

Machine Learning IoT Statistics Modeling 64

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 Unstructured Data Machine Learning Predictive Modeling 98

CIO Business Intelligence

NOVEMBER 16, 2022

The second is leveraging IoT and AI to support new digital services and new digital products that we can offer our consumers. AI and machine learning are mature today. And that is where the IT organization really has a hand in helping to enable that product leadership.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

DECEMBER 6, 2023

Enabling consistency in the data sets from these varied sites is integral to DS Smith’s analytics strategy, as well as for anticipated changes in the company’s technology and business models, Dickson says. 2, machine learning/AI (31%), the packaging company has three use cases in proof of concept. As for No.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

CIO Business Intelligence

JANUARY 26, 2024

Fueled by cloud Ford’s cloud journey, which began roughly a decade ago, continues to this day, Musser says, as the automaker seeks to take advantage of advances in the key technologies fueling its transformation, including the internet of things (IoT), software as a service, and the latest offerings on Google Cloud Platform (GCP).

IoT 119

IoT Manufacturing Digital Transformation Internet of Things 119

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

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. That’s where a lot of the artificial intelligence and machine learning is applied. based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

Paul DeBeasi

FEBRUARY 14, 2019

Few data-driven technologies provide greater opportunity to derive value from Internet of Things (IoT) initiatives as machine learning. An important development in machine learning is the emergence of machine learning inference servers (aka inference engines and inference servers).

IoT 49

IoT Internet of Things Machine Learning Deep Learning 49

CIO Business Intelligence

MAY 6, 2022

Nearly two-thirds of manufacturers globally already use cloud solutions, according to consulting firm McKinsey, and marketing intelligence company ReportLinker reports that the global smart factory market — consisting of companies using technology such as IoT — is expected to reach $214.2 billion by 2026.

Manufacturing 140

Manufacturing Analytics Machine Learning IoT 140

IBM Big Data Hub

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

IoT 108

IoT Broadcasting Internet of Things Technology 108

CIO Business Intelligence

DECEMBER 13, 2023

For example, generative AI models are especially adept at making sense of diverse, unstructured datasets to create realistic content, enhance data for machine learning training, simulate and model complex scenarios and environments, and personalize algorithms for targeted marketing and product recommendations.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

CIO Business Intelligence

DECEMBER 28, 2023

Procter & Gamble also used IoT and machine language models to implement new solutions on their manufacturing lines. On top of that, we implemented our AI factory, which is a workbench for our data scientists to develop machine learning systems with speed and quality.”

IT 128

IT Manufacturing Machine Learning IoT 128

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

CIO Business Intelligence

APRIL 27, 2023

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. Machine learning has also greatly advanced over the past several years. There were also limitations in technology.

Management 98

Management Internet of Things Cost-Benefit Uncertainty 98

bridgei2i

FEBRUARY 21, 2020

Deep learning provides an edge over your competition. Using machine learning and historical data, future trends and patterns can be predicted depending on your area of concern. As companies work towards becoming digital enterprises, there’s a thrust on developing machine learning models that leverage NLP, CV, RL, etc.

IoT 83

IoT Analytics Deep Learning B2B 83