CIO

AUGUST 25, 2023

Data-driven diaper analysis During the diaper-making process, hot glue stream is released from an automated solenoid valve in a highly precise manner to ensure the layers of the diaper congeal properly. IoT platforms and advanced data gathering are necessary to ensure successful and resilient industrial operations.”

IoT 148

IoT Analytics Artificial Inteligence Weak Development Team 148

CableLabs

JUNE 18, 2019

Machine Learning (ML) and Artificial Intelligence (AI) can assist wireless operators to overcome these challenges by analyzing the geographic information, engineering parameters and historic data to: Forecast the peak traffic, resource utilization and application types. ML/AI-as-a-service offering for end users.

Artificial Inteligence 102

Artificial Inteligence Artificial Intelligence Machine Learning Wireless 102

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 111

IoT Industry Artificial Inteligence Machine Learning 111

CIO

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.

Open Source 187

Open Source Artificial Inteligence Machine Learning Generative AI 187

TechCrunch

NOVEMBER 14, 2021

We were focused all the way back then on what we now call the Internet of Things (IoT). For the most part, AI advances are still pretty divorced from stuff like spreadsheets and log files and all these other more quantitative, structured data — including IoT data. As a professor, I’d award it a passing grade, but not an A.

Industry 335

Industry Artificial Inteligence Data Artificial Intelligence 335

O'Reilly Media - Ideas

FEBRUARY 28, 2019

In a recent post , we described what it would take to build a sustainable machine learning practice. These projects are built and supported by a stable team of engineers, and supported by a management team that understands what machine learning is, why it’s important, and what it’s capable of accomplishing.

Artificial Inteligence 108

Artificial Inteligence Machine Learning Applications Weak Development Team 108

CIO

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.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

CEO Insider

JANUARY 29, 2021

The industrial IoT market is of great interest to software developers and investors as it is growing so quickly.

Artificial Inteligence 145

Artificial Inteligence Applications Artificial Intelligence Company 145

CIO

DECEMBER 20, 2024

Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis. It includes data collection, refinement, storage, analysis, and delivery. AI and machine learning models. Establish a common vocabulary. Curate the data.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

CIO

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. This allows us to excel in this space, and we can see some real-time ROI into those analytic solutions.”

Artificial Inteligence 175

Artificial Inteligence Data Machine Learning Azure 175

TechCrunch

MARCH 30, 2022

Having been at Apple and having worked with a lot of technologies that were ahead of the times, in terms of combining machine learning and privacy. It’s an IoT device — it’s got a small computer in there and a bunch of different sensors. “Years later, that idea came back to me.

Tourism 238

Tourism Analysis IoT Artificial Inteligence 238

Openxcell

SEPTEMBER 13, 2020

Impact of IoT and ML: IoT and Machine Learning were mere technologies that people heard emerging to simplify people’s life. In the recent rise of the popularity of these technologies, IoT or ML has an easy way out for every possible task. . How are IoT and Machine Learning Changing Everyone’s Lives?

Artificial Inteligence 52

Artificial Inteligence Machine Learning IoT Transportation 52

Altexsoft

JULY 3, 2019

As we know, the IoT will enable businesses to capture more data for deep analysis while obtaining more granular control over processes. Combined with AI and machine learning, smart automation is an exciting prospect. How could the IoT undermine the security of your business? The Dangers of Compromised IoT Devices.

IoT 98

IoT Enterprise Software Review Technical Review 98

Altexsoft

APRIL 13, 2021

To compete, insurance companies revolutionize the industry using AI, IoT, and big data. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation. Hire machine learning specialists on the team. Of course, not.

Artificial Inteligence 87

Artificial Inteligence Machine Learning Insurance Technical Review 87

InfoBest

MAY 29, 2023

In an era reminiscent of science fiction, two groundbreaking technologies have emerged, poised to reshape our world: the Internet of Things (IoT) and Machine Learning. Enhancing Data Collection and Analysis One of the primary advantages of IoT is its ability to generate vast amounts of real-time data from various sources.

Artificial Inteligence 52

Artificial Inteligence Machine Learning IoT Energy 52

OTS Solutions

JUNE 2, 2023

Predictive maintenance utilizes real-time monitoring and analysis of equipment data to forecast potential equipment failures and take corrective action to prevent downtime. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0 Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CIO

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).

Business Transformation 179

Business Transformation Cloud Automotive IoT 179

CIO

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. This includes hunting and deep, high-end analysis. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm.

Security 218

Security Innovation Artificial Inteligence Weak Development Team 218

CIO

NOVEMBER 11, 2024

Kakkar and his IT teams are enlisting automation, machine learning, and AI to facilitate the transformation, which will require significant innovation, especially at the edge. For example, for its railway equipment business, Escorts Kubota produces IoT-based devices such as brakes and couplers.

Construction 165

Construction USP IoT Artificial Inteligence 165

TechCrunch

SEPTEMBER 6, 2022

It has three sub-platforms that allow farmers and other stakeholders in the food value chain to access tools for earth observation, remote sensing and data and machine learning to help them better manage crops and harvests. Cropin Cloud can be used by agribusinesses of all sizes. Cropin’s leadership team.

Industry 198

Industry Cloud Company B2B 198

CIO

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The company claims to have deployed such predictive maintenance or analysis across 200 million acres of land globally.

Industry 157

Industry Cloud Data Analysis 157

The Crazy Programmer

NOVEMBER 9, 2022

Some popular Rust use cases include machine learning and artificial intelligence, video game development, and scientific computing. Rust’s memory safety and function pointers are great reasons to learn Rust. It is a good choice for IoT devices and large applications where security is a priority. Python Pros.

Artificial Inteligence 173

Artificial Inteligence Machine Learning Programming Linux 173

TechCrunch

DECEMBER 15, 2021

Co-founders Aner Gelman, Misha Seltzer, and Shaked Gitelman are themselves former executives at Armis, which recently raised $300 million to expand beyond IoT. ” With Gelman and his two co-founders all being army intelligence veterans, it is not too surprising that there’s a bit of secrecy involved.

IoT 165

IoT Artificial Inteligence Machine Learning Analysis 165

CIO

NOVEMBER 15, 2022

The firm also calls on CIOs to implement software composition analysis to get visibility into software supply chain vulnerabilities, and leverage maturing threat intelligence platforms to prioritise and fix them. Artificial Intelligence, Digital Transformation, Innovation, Machine Learning

Security 214

Security Artificial Inteligence Sustainability Artificial Intelligence 214

CIO

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

Infrastructure 218

Infrastructure Industry 3D VR 218

CIO

MAY 16, 2024

But Parameswaran aims to parlay his expertise in analytics and AI to enact real-time inventory management and deploy IoT technologies such as sensors and trackers on industrial automation equipment and delivery trucks to accelerate procurement, inventory management, packaging, and delivery. It is the art of analysis.

Artificial Inteligence 156

Artificial Inteligence IoT Transportation Analytics 156

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

OverOps

SEPTEMBER 20, 2018

The Do’s and Don’ts That Every IoT Project Should Be Built On. Predicting London Crime Rates Using Machine Learning Toolkit. It’s the story of how a simple timesheet and the mixture of automation, machine learning and Splunk, cannot only thwart an insider threat but also provide highly detailed statistical analysis.

Artificial Inteligence 133

Artificial Inteligence Artificial Intelligence DevOps IoT 133

CIO

DECEMBER 7, 2023

In many cases, manual and paper-based processes had been employed for analysis at disaster sites, with resulting data being siloed. The data is gathered from paper records and advanced technology such as drones, the Internet of Things (IoT), and AI, live and static.

Artificial Inteligence 162

Artificial Inteligence Tourism IoT Education 162

InfoWorld

APRIL 11, 2024

The Apache Software Foundation develops and maintains open source software projects that significantly impact various domains of computing, from web servers and databases to big data and machine learning.

Analysis 68

Analysis Data IoT Open Source 68

Altexsoft

SEPTEMBER 17, 2019

A number of machine-learning-based technologies allow insurance companies to automate this process, reducing the waiting time and freeing agents to work on less routine tasks. Check our separate article to learn more about applications of data science and machine learning in insurance. How it is applied.

Artificial Inteligence 15

Artificial Inteligence Machine Learning Insurance Banking 15

Palo Alto Networks

AUGUST 10, 2020

More recently, we disrupted the market again with our announcement of the world’s first Machine Learning-Powered NGFW. apply machine learning to proactively stop unknown threats, secure IoT devices and reduce errors with automatic policy recommendations. The 70+ innovative new capabilities in PAN-OS 10.0

Firewall 98

Firewall Network Report Enterprise 98

CIO

AUGUST 19, 2024

Real-time data for enhanced agricultural efficiency Real-time data collection and analysis are critical to SupPlant’s approach. IoT sensors deployed in fields worldwide collect vital information on crop and weather conditions every 30 minutes.

Artificial Inteligence 189

Artificial Inteligence Technical Review Systems Review Software Review 189

CIO

OCTOBER 6, 2022

In manufacturing, finite element analysis, computer vision, electronic design automation and computer-aided design are facilitated by AI and HPC to speed product development, while analysis generated from Internet-of-Things (IoT) data can streamline supply chains, enhance predictive maintenance regimes and automate manufacturing processes.

Artificial Inteligence 148

Artificial Inteligence Industry Innovation Artificial Intelligence 148

Tenable

FEBRUARY 22, 2024

DVM vendors should bring more point tools together (such as device vulnerability scanners, attack surface management (ASM), cloud platforms, cybersecurity asset management, and IoT/OT scanners) to move vulnerability management beyond CVEs to offer holistic exposure management.

Marketing 125

Marketing Artificial Inteligence Machine Learning IoT 125

OTS Solutions

JANUARY 11, 2024

With the emergence of AI, ML, DevOps, AR VR cloud computing, the Internet of Things (IoT), data analytics, digital transformation, application modernization, and other digital technologies, IT practice in mental health therapy is undergoing significant changes. million IoT 2028 $293.10 billion AI and ML 2032 $22,384.27

Technical Review 130

Technical Review Technology VR IoT 130

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Data 112

Data Artificial Inteligence Machine Learning Analytics 112