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 239

Artificial Inteligence Data Machine Learning Azure 239

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

Mobilunity

DECEMBER 28, 2022

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. The Services That Machine Learning Engineers Can Offer. Deep learning.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Engineering How To 52

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

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

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

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

Altexsoft

MAY 5, 2023

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing. The early adopters, plain and simple.”

Artificial Inteligence 59

Artificial Inteligence Machine Learning Technical Review ChatGPT 59

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 109

IoT Industry Artificial Inteligence Machine Learning 109

Invid Group

NOVEMBER 5, 2023

Why Predictive Analysis Tools will be Key for Businesses in 2024 BY: INVID In today’s fast-paced and ever-evolving business landscape, staying ahead of the competition has never been more challenging. To gain a competitive edge and make data-driven decisions, companies are turning to predictive analysis tools.

Analysis 52

Analysis Tools Artificial Inteligence Machine Learning 52

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

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

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 181

Construction USP IoT Artificial Inteligence 181

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 296

Business Transformation Cloud Automotive IoT 296

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

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 237

Artificial Inteligence IoT Transportation Analytics 237

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

CIO

FEBRUARY 13, 2024

At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region. From tracking temperature and humidity to monitoring soil composition and wildlife activity, the IoT integration provides an intricate understanding of the rainforest ecosystem.

Innovation 147

Innovation Artificial Inteligence IoT Sustainability 147

OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. There has been a tremendous impact on the advancement and accessibility of healthcare technology through Internet of Things (IoT) devices, wearable gadgets, and real-time medical data monitoring.

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

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 244

Industry Cloud Data Analysis 244

Perficient

DECEMBER 2, 2022

The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. Configuration can also be pushed backed to the sites post-analysis. Industrial IoT (IIoT) solution overview diagram. Both are IoT optimized transport protocols like HTTP. At the core of Industry 4.0

IoT 69

IoT Industry Systems Review Software Review 69

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 235

Artificial Inteligence Tourism IoT Education 235

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 295

Artificial Inteligence Technical Review Systems Review Software Review 295

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 109

Artificial Inteligence Machine Learning Applications Weak Development Team 109

Cherry Work

JULY 22, 2024

Here are some common challenges and pitfalls associated with non-digital and traditional TPM implementation approaches: Manual Data Collection and Analysis : Relies on manual data collection methods, such as paper-based forms or spreadsheets. This process is time-consuming, prone to errors, and lacks real-time visibility.

Artificial Inteligence 130

Artificial Inteligence Analysis IoT Training 130

Cherry Work

JULY 22, 2024

Here are some common challenges and pitfalls associated with non-digital and traditional TPM implementation approaches: Manual Data Collection and Analysis : Relies on manual data collection methods, such as paper-based forms or spreadsheets. This process is time-consuming, prone to errors, and lacks real-time visibility.

Artificial Inteligence 130

Artificial Inteligence Analysis IoT Training 130

Tenable

SEPTEMBER 20, 2024

Plus, a new MITRE Engenuity tool uses machine learning to infer attack sequences. That’s according to “ CISA Analysis: Fiscal Year 2023 Risk and Vulnerability Assessments, ” a report about the risk and vulnerability assessments (RVAs) conducted by the Cybersecurity and Infrastructure Security Agency (CISA) and the U.S.

Infrastructure 73

Infrastructure Tools IoT Software Review 73

Palo Alto Networks

APRIL 3, 2020

To better serve their citizens and missions, US federal agencies have been adopting the Internet of Things (IoT) to lower cost, improve efficiency and increase safety. Defense agencies leverage IoT capabilities for physical security, readiness and situational awareness, among other applications. . Reduce IoT Risk with Zero Trust.

IoT 53

IoT Firewall Systems Review Network 53

CIO

FEBRUARY 28, 2024

where people work alongside robots and smart machines – is creating demand for smarter factories, shop floors and devices. Edge computing, which brings computing closer to the user – be it a computer, a human or an IoT device – is a key solution in this context. Private 5G and similar technologies complement this shift.

Network 130

Network Trends WAN IoT 130

Trigent

JUNE 24, 2021

Salesforce known for its cutting-edge solutions has been consistently deploying emerging innovative technologies like the Internet of Things (IoT) to empower them. IoT is driving business growth by enabling real-time management of critical systems across industries. The IoT edge from Salesforce. million by 2025.

IoT 59

IoT Cloud Software Review Technical Review 59

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 243

Artificial Inteligence Industry Innovation Artificial Intelligence 243

AWS Machine Learning - AI

NOVEMBER 12, 2024

Widely embraced by agronomists, scientists, and R&D teams in crop input manufacturing and contract-based research organizations, Agmatix’s field trial and analysis solutions are at the forefront of agricultural innovation. Current challenges in analyzing field trial data Agronomic field trials are complex and create vast amounts of data.

Generative AI 104

Generative AI AWS Chemicals Sustainability 104

CIO

AUGUST 20, 2024

Implementing AI algorithms directly on local edge devices, such as sensors or Internet of Things (IoT) devices, enables local processing and analysis for real-time decision-making, and models can continue to function even when connectivity is lost. The ability to simplify management as operations scale is essential.

Artificial Inteligence 264

Artificial Inteligence Healthcare Retail Artificial Intelligence 264

Tenable

MARCH 11, 2024

Discover how contextual prioritization of exposure is revolutionizing OT/IoT security, enabling organizations to shift from reactive to proactive breach prevention. Consequently, today's CISOs find themselves increasingly accountable for securing not only IT environments, but OT and IoT environments as well.

IoT 66

IoT Technical Review How To Systems Review 66

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 353

Security Innovation Artificial Inteligence Weak Development Team 353

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

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