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. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

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)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

MAY 24, 2019

Machine learning is playing an increasingly important role in web development. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs).

Machine Learning 111

Machine Learning Internet of Things Testing Big Data 111

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. 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).

IoT 100

IoT Machine Learning Metadata Data-driven 100

Smart Data Collective

JULY 19, 2019

The telecommunications industry could benefit from big data more than almost any other business. However, it has been slow to invest in machine learning and other big data tools, until recently. Big Data Leads to New Breakthroughs in Telecom Products. A growing portfolio.

Big Data 100

Big Data Internet of Things IoT Cost-Benefit 100

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Rocket-Powered Data Science

JULY 6, 2021

My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). That is, use AI and machine learning techniques on digital content (databases, documents, images, videos, press releases, forms, web content, social network posts, etc.)

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

David Menninger's Analyst Perspectives

MAY 13, 2019

Organizations now must store, process and use data of significantly greater volume and variety than in the past.

Business Analytics 180

Business Analytics Big Data Analytics Enterprise 180

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare.

Big Data 101

Big Data Data Analytics Analytics Internet of Things 101

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Rocket-Powered Data Science

MAY 20, 2020

In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter. And then there’s this — not a blog, but a link to my 2013 TedX talk: “ Big Data, Small World.” Rocket-Powered Data Science (the website that you are now reading). That list will be compiled in another place soon.).

Data Science 241

Data Science Big Data Internet of Things Data mining 241

Rocket-Powered Data Science

JULY 14, 2023

As I progressed in my career into management roles for enterprise data systems, I gained a deeper understanding and appreciation of the synergies and interdependencies between system and user requirements.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Sisense

JUNE 11, 2019

The term “Big Data” has lost its relevance. The fact remains, though: every dataset is becoming a Big Data set, whether its owners and users know (and understand) that or not. Big Data isn’t just something that happens to other people or giant companies like Google and Amazon. Big Data Today.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

John Wheeler

AUGUST 28, 2020

According to Gartner , digital risk management (DRM) technology integrates the management of risk specifically associated with: Digital products and services enabled by cloud, mobile, social and big data.

Risk 117

Risk Risk Management Internet of Things IoT 117

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. Delving deeper into the in-store experience. It’s not about robots replacing humans.

Big Data 98

Big Data Data-driven IoT Marketing 98

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.

Forecasting 133

Forecasting Data Analytics Analytics Internet of Things 133

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

Rocket-Powered Data Science

JULY 21, 2023

” Model-Assisted Threat Hunts , also known as Splunk M-ATH , is Splunk’s brand name for machine learning-assisted threat hunting and mitigation. search for deviations from normal behaviors through EDA: Exploratory Data Analysis), and (3) M-ATH (i.e., faster alerting with fewer false positives and false negatives).

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

CIO Business Intelligence

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

Rocket-Powered Data Science

OCTOBER 6, 2023

In the enterprise, sentinel analytics is most timely and beneficial when applied to real-time, dynamic data streams and time-critical decisions. One could say that sentinel analytics is more like unsupervised machine learning, while precursor analytics is more like supervised machine learning.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

John Wheeler

DECEMBER 18, 2018

DRM helps bridge the gap between the Chief Risk Officer (CRO), the Chief Information Officer (CIO) and the Chief Information Security Officer (CISO) – see graphic below.

Digital Transformation 96

Digital Transformation Risk Management Internet of Things Risk 96

CIO Business Intelligence

JUNE 20, 2022

That’s where a lot of the artificial intelligence and machine learning is applied. We analyze all the data we get back and then provide it to the field technician delivered to their mobile app.”. Analytics, CIO 100, Internet of Things, Manufacturing Industry based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

MAY 16, 2024

What’s also going to change this farm-to-table business is how we exploit the internet of things,” Parameswaran says, adding that he is considering employing blockchain technology to digitize Baldor’s supply chain. That is all applied to optimizing routes and delivery capabilities.”

IoT 104

IoT Internet of Things Digital Transformation Sales 104

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

CIO Business Intelligence

AUGUST 29, 2022

Natural resources: In addition to reducing their carbon footprint, companies need to address water usage and improve waste management practices.

Enterprise 97

Enterprise Internet of Things Measurement Finance 97

IBM Big Data Hub

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

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. From retail and commerce to manufacturing, the technology continues to do some pretty amazing things in nearly every sector. The civil engineering field is no exception.

IoT 87

IoT Internet of Things Measurement Reporting 87

AWS Big Data

SEPTEMBER 11, 2024

Aruba offers networking hardware like access points, switches, routers, software, security devices, and Internet of Things (IoT) products. To learn more about the AWS services used to build modern data solutions on AWS, refer to the AWS public documentation and stay up to date through the AWS Big Data Blog.

Data Architecture 96

Data Architecture Optimization Data Warehouse Metadata 96

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

IBM Big Data Hub

MARCH 20, 2024

artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Low code helps businesses streamline workflows and accelerate the development of websites and mobile apps, the integration of external plugins, and cloud-based next-gen technologies, like artificial intelligence (AI) and machine learning (ML).

Internet of Things 88

Internet of Things Cost-Benefit Data Processing IoT 88

CIO Business Intelligence

JUNE 22, 2022

At the same time, 5G adoption accelerates the Internet of Things (IoT). Real-time access to accurate data on customers that drives machine learning models are crucial to the accuracy of predictions or recommendations they make in real time.

IoT 98

IoT IT Manufacturing Internet of Things 98

CIO Business Intelligence

APRIL 12, 2022

Driving this parallel growth in smart manufacturing and supply chain technology are a handful of technologies: Industrial Internet of Things (IIoT):devices that enable data collection from more interaction points, factory automation, shipment tracking via GPS and machine-to-machine (M2M) and machine-to-people (M2P) communications Artificial intelligence (..)

IoT 105

IoT Analytics Manufacturing Internet of Things 105

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. Thankfully, technology to assist this huge undertaking is more comprehensive than ever before. McKinsey defines Supply Chain 4.0

Manufacturing 107

Manufacturing Forecasting Internet of Things Risk 107