AWS Big Data

JANUARY 15, 2025

Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE). Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data.

IoT 110

IoT Machine Learning Metadata Data-driven 110

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.

Machine Learning 272

Machine Learning IoT Internet of Things Data Science 272

Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. How to choose the right ML Framework.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

CIO Business Intelligence

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

IoT 105

IoT Digital Transformation Internet of Things Machine Learning 105

O'Reilly on Data

OCTOBER 31, 2019

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Anna Roth discusses human and technical factors and suggests future directions for training machine learning models. Watch “ TensorFlow.js: Bringing machine learning to JavaScript “ MLIR: Accelerating AI.

IoT 246

IoT Machine Learning Modeling Software 246

Analytics Vidhya

OCTOBER 24, 2020

Introduction In today’s era of Big data and IoT, we are easily. This article was published as a part of the Data Science Blogathon. The post A comprehensive guide to Feature Selection using Wrapper methods in Python appeared first on Analytics Vidhya.

IoT 398

IoT Big Data Data Science Publishing 398

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

OCTOBER 2, 2024

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. According to IDC, the IoT market in the Middle East and Africa is set to surpass $30.2 Popular examples include NB-IoT and LoRaWAN.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

Smart Data Collective

APRIL 21, 2021

IoT has evolved the technology and made many devices easier to control with actions such as voice commands or claps. Now, to find out how IoT has contributed in the culture of small businesses, let’s have a read! The Internet of Things (IoT) refers to the technology that has made wireless communication possible.

IoT 125

IoT Internet of Things Manufacturing Cost-Benefit 125

David Menninger's Analyst Perspectives

MAY 3, 2019

With thousands in attendance and growing fast, this year's conference focused on five key areas: digitization, real time connectivity, driving insight based actions, applying AI & machine learning, and building applications. All of these announcements are aimed at broadening the workloads supported by Domo.

IoT 160

IoT Machine Learning Data Integration Business Intelligence 160

O'Reilly on Data

SEPTEMBER 12, 2018

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. Preserving privacy and security in machine learning. Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services. Watch " Wait.

IoT 218

IoT Machine Learning Deep Learning Data Science 218

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. will look like).

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

DataKitchen

APRIL 13, 2021

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. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

Testing 300

Testing Machine Learning Consulting Data Science 300

Cloudera

AUGUST 28, 2020

The real opportunity for 5G however is going to be on the B2B side, IoT and mission-critical applications will benefit hugely. What that means is that this creates new revenue opportunities through IoT case uses and new services. 5G and IoT are going to drive an explosion in data. This is the next big opportunity for telcos.

IoT 110

IoT Machine Learning B2B Testing 110

Analytics Vidhya

JUNE 4, 2024

It’s all about leveraging the latest technologies, such as the Internet of Things (IoT), blockchain, and, of course, Artificial Intelligence (AI). Introduction Ever wonder how our cities are becoming smarter and more efficient?

Internet of Things 232

Internet of Things IoT Technology Management 232

CIO Business Intelligence

JANUARY 20, 2023

At the end of the day, it’s all about patient outcomes and how to improve the delivery of care, so this kind of IoT adoption in healthcare brings opportunities that can be life-changing, as well as simply being operationally sound. Why Medical IoT Devices Are at Risk There are a number of reasons why medical IoT devices are at risk.

IoT 100

IoT Risk Insurance Machine Learning 100

KDnuggets

MAY 26, 2022

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

Data Science 160

Data Science Deep Learning IoT Machine Learning 160

Cloudera

SEPTEMBER 4, 2020

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.

IoT 93

IoT Machine Learning Optimization Insurance 93

CIO Business Intelligence

APRIL 19, 2023

Thanks to cloud, Internet of Things (IoT), and 5G technologies, every link in the retail supply chain is becoming more tightly integrated. Transformation using these technologies is not just about finding ways to reduce energy consumption now,” says Binu Jacob, Head of IoT, Microsoft Business Unit, Tata Consultancy Services (TCS).

IoT 105

IoT Internet of Things Optimization Digital Transformation 105

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

CIO Business Intelligence

FEBRUARY 21, 2025

Boston Dynamics well known robotic dog Spot was among the first advanced robots, and most use machine learning (ML) pattern recognition models. Gonzlez,research manager of industrial IoT and intelligence strategiesat IDC. The idea of furthering human-robotic collaboration is easier if they both can operate the same set of tools.

Manufacturing 125

Manufacturing Machine Learning Consulting Modeling 125

CIO Business Intelligence

AUGUST 25, 2023

En route to one of those plants in Missouri, Kietermeyer explained to CIO.com that the combination IoT and edge platform, sensors, and edge analytics rules engine have been successfully employed to address pressure and temperature anomalies and the valve hardware issues that can occur in the diaper-making process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

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) Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

David Menninger's Analyst Perspectives

MAY 20, 2019

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

Internet of Things 208

Internet of Things IoT Analytics Optimization 208

CIO Business Intelligence

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. Agritech firms are hiring IoT and AI experts to streamline farming think smart irrigation and predictive crop analytics.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

DECEMBER 20, 2024

AI and machine learning models. Modern data architectures must be designed to take advantage of technologies such as AI, automation, and internet of things (IoT). In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data. Application programming interfaces.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Corinium

JUNE 6, 2019

In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

FEBRUARY 20, 2025

When building a machine-learning-powered tool to predict the maintenance needs of its customers, Ensono found that its customers used multiple old apps to collect incident tickets, but those apps stored incident data in very different formats, with inconsistent types of data collected, he says. But they can be modernized.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. Imagine such a system processing unstructured text data like historical maintenance logs, technician notes, defect reports and warranty claims, and correlating it with structured sensor data such as IoT readings and machine telemetry.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

David Menninger's Analyst Perspectives

JANUARY 21, 2025

These include the Atlas Data Lake managed storage offering for analytics and the various components (Atlas Edge Server, Atlas Device Sync and Atlas Device SDK) that were designed to enable local data processing on mobile and IoT devices as well as in remote data centers or disconnected infrastructure.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

Rocket-Powered Data Science

JULY 19, 2023

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

TDAN

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security. (..)

Internet of Things 98

Internet of Things IoT Machine Learning Data Processing 98

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 73

Machine Learning IoT Modeling Reporting 73

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.

Manufacturing 126

Manufacturing Cost-Benefit ROI IoT 126

CIO Business Intelligence

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

CIO Business Intelligence

DECEMBER 3, 2024

With AI or machine learning playing larger and larger roles in cybersecurity, manual threat detection is no longer a viable option due to the volume of data,” he says. Vincalek agrees manual detection is on the wane.

IT 128

IT Testing Software Data-driven 128