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. Get the inside scoop and learn all the new buzzwords in tech for 2020! Internet of Things. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

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

Smart Data Collective

APRIL 2, 2019

Machine learning is having a major impact on countless industries across the globe. According to an analysis by CB Insights, machine learning and AI are having a large impact on this industry in many ways. Machine Learning is Driving the Evolution of the Energy Industry. Machine Learning Leads to Visibility.

Machine Learning 106

Machine Learning Internet of Things Digital Transformation IoT 106

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

David Menninger's Analyst Perspectives

OCTOBER 19, 2021

Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. Access to external data can provide a competitive advantage. The most important external data source identified is social media, followed by demographic data from data brokers.

Data Lake 284

Data Lake Analytics Machine Learning Marketing 284

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

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

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 100

IoT Machine Learning Metadata Data-driven 100

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.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

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.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

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. is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

David Menninger's Analyst Perspectives

MARCH 31, 2022

Another domain where real-time analyses are critical is internet of things (IoT) applications. Location-based offers should be targeted at the customer’s current location, not their location several minutes ago.

Internet of Things 147

Internet of Things Dashboards Analytics IoT 147

David Menninger's Analyst Perspectives

OCTOBER 16, 2024

These applications, infused with contextually relevant recommendations, predictions and forecasting, are driven by machine learning and generative AI. Fauna’s database is typically used to support the development of software-as-a-service applications in industries such as retail and e-commerce, gaming and the Internet of Things.

Internet of Things 214

Internet of Things Data-driven Data Warehouse Interactive 214

Rocket-Powered Data Science

JULY 14, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs).

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

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. 1 for data analytics trends in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

MARCH 19, 2019

You can continue reading the long version of this article and learn more about the growing class of new analytics ASIC processors in my article “ Sensor Analytics at Micro Scale on the xPU ” at the Western Digital DataMakesPossible.com blog site. Learn more about Machine Learning for Edge Devices at Western Digital here: [link].

Big Data 186

Big Data Analytics Machine Learning Internet of Things 186

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. automation of the first two type of hunts, using AI and machine learning). automation of the first two type of hunts, using AI and machine learning).

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

Smart Data Collective

APRIL 21, 2021

The Internet of Things (IoT) refers to the technology that has made wireless communication possible. Easier adaption of the machine learning. If you think that the internet has changed your life, think again. The Internet of Things is about to change it all over again! ” — Brendan O’Brien.

IoT 125

IoT Internet of Things Manufacturing Cost-Benefit 125

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 75

Machine Learning Internet of Things IoT Technology 75

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. Four Options for Integrating Machine Learning with IoT.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

Smart Data Collective

MARCH 21, 2022

You have probably heard a lot talk about the Internet of Things (IoT). Some of these tools include machine-learning optimization engines, automated analytics platforms, and dashboards. It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future.

Big Data 145

Big Data Internet of Things IoT Dashboards 145

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. Advanced analytics platforms, leveraging machine learning (ML) algorithms and AI, extract meaningful insights from this data.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

Rocket-Powered Data Science

OCTOBER 6, 2023

One could say that sentinel analytics is more like unsupervised machine learning, while precursor analytics is more like supervised machine learning. and the best in machine learning model-building and deployment services, Microsoft Azure Cloud has you covered.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

John Wheeler

AUGUST 28, 2020

Third-party technology, such as artificial intelligence (AI) and machine learning (ML), operational technology (OT), and the Internet of Things (IoT).

Risk 117

Risk Risk Management Internet of Things IoT 117

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

Smart Data Collective

JANUARY 27, 2022

A professional in neural networks uses machine learning as a primary instrument. With their help, AI learns to. Internet-of-Things Development Engineer. Specialists in this area are engaged in software development, machine learning, and analysis of data obtained from various devices.

Big Data 135

Big Data Advertising Internet of Things Marketing 135

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. A machine learning (ML)-powered solution can detect and mitigate risks that might otherwise be overlooked – which could lead to ransomware or other malicious activity that can lead to downtime.

Manufacturing 126

Manufacturing Cost-Benefit ROI IoT 126

CIO Business Intelligence

JULY 31, 2022

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment.

Strategy 98

Strategy Internet of Things Machine Learning IoT 98

David Menninger's Analyst Perspectives

NOVEMBER 9, 2021

How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most. If an organization goes through the trouble of measuring and reporting on a metric, the analysis ought to include all the information needed to evaluate that metric effectively.

Metrics 328

Metrics KPI Measurement Reporting 328

CIO Business Intelligence

JUNE 20, 2022

That’s where a lot of the artificial intelligence and machine learning is applied. With the advent of the internet of things, most physical things can now be monitored, controlled, updated, and even operated remotely,” Berntz says. Analytics, CIO 100, Internet of Things, Manufacturing Industry

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

Smart Data Collective

MARCH 29, 2021

Such technologies include Digital Twin tools, Internet of Things, predictive maintenance, Big Data, and artificial intelligence. Machine learning has made automation much more feasible. The maintenance management department can now use robotics to clean and disinfect your machines and premises.

Big Data 140

Big Data Management Cost-Benefit Internet of Things 140

Smart Data Collective

JULY 19, 2019

However, it has been slow to invest in machine learning and other big data tools, until recently. 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.

Big Data 100

Big Data Internet of Things IoT Cost-Benefit 100

Cloudera

MAY 4, 2022

In a retail operation, for instance, AI-driven smart shelf systems use Internet of Things (IoT) and cloud-based applications to alert the back room to replenish items. Efficiency is a continual goal for any organization. The more efficient you can be, the less time and money you spend on a task. Faster decisions .

Internet of Things 130

Internet of Things Cost-Benefit Insurance Data-driven 130

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

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. So, what’s behind the stellar transformation of weather technology?

Forecasting 133

Forecasting Data Analytics Analytics Internet of Things 133

CIO Business Intelligence

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns.

IT 52

IT IoT Machine Learning Optimization 52