CIO

MARCH 25, 2025

Zscalers zero trust architecture delivers Zero Trust Everywheresecuring user, workload, and IoT/OT communicationsinfused with comprehensive AI capabilities. Enterprises must adopt a zero trust approach, eliminating implicit trust, enforcing least-privilege access, and continuously verifying all AI interactions.

Enterprise 166

Enterprise Trends Artificial Inteligence Generative AI 166

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

CIO

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. Government agencies and nonprofits also seek IT talent for environmental data analysis and policy development.

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

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 110

IoT Industry Artificial Inteligence Machine Learning 110

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 111

Artificial Inteligence Machine Learning Applications Weak Development Team 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

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 Company Artificial Intelligence 145

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 190

Artificial Inteligence Data Machine Learning Azure 190

AWS Machine Learning - AI

APRIL 1, 2025

Cost Analysis: Based on your expected usage patterns, heres the estimated monthly cost breakdown and optimization recommendations. He builds prototypes and solutions using generative AI, machine learning, data analytics, IoT & edge computing, and full-stack development to solve real-world customer challenges.

AWS 94

AWS Software Review Knowledge Base Artificial Inteligence 94

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

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

AWS Machine Learning - AI

NOVEMBER 1, 2024

Following this financial data table, a detailed question-answer set is presented to demonstrate the complexity and depth of analysis possible with the TAT-QA dataset. Fang Liu is a principal machine learning engineer at Amazon Web Services, where he has extensive experience in building AI/ML products using cutting-edge technologies.

Artificial Inteligence 89

Artificial Inteligence Generative AI Training Metrics 89

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

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

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 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

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

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

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

Perficient

FEBRUARY 17, 2025

Unreal Engine Online Learning. Data Science and Machine Learning Technologies : Python (NumPy, Pandas, Scikit-learn) : Python is widely used in data science and machine learning, with NumPy for numerical computing, Pandas for data manipulation, and Scikit-learn for machine learning algorithms.

Development 52

Development Software Review Technical Review Systems Review 52

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 Energy 214

O'Reilly Media - Ideas

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.

Trends 108

Trends Data Artificial Inteligence Machine Learning 108

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

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 Open Source Artificial Inteligence 68