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

TechCrunch

SEPTEMBER 13, 2022

In recent years, a cottage industry has sprung up around the industrial internet of things (IoT) landscape — and the data generated by it. Despite the crowdedness in the industrial IoT sector, Vatsal Shah argues that there’s room for one more competitor. This is something Litmus specializes in.” billion in 2020.

IoT 202

IoT Industry Machine Learning Artificial Inteligence 202

Confluent

JANUARY 28, 2020

The combination of streaming machine learning (ML) and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache […].

Machine Learning 24

Machine Learning Artificial Inteligence Storage Scalability 24

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is IoT or Internet of Things? What is Machine Learning?

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

CIO

APRIL 19, 2023

Thanks to cloud, Internet of Things (IoT), and 5G technologies, every link in the retail supply chain is becoming more tightly integrated. Transformation using these technologies is not just about finding ways to reduce energy consumption now,” says Binu Jacob, Head of IoT, Microsoft Business Unit, Tata Consultancy Services (TCS). “The

Retail 156

Retail IoT Artificial Inteligence Cloud 156

AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. Which LLM you want to use in Amazon Bedrock for text generation.

Generative AI 123

Generative AI Lambda Applications AWS 123

AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

Generative AI 76

Generative AI Systems Review Software Review Artificial Inteligence 76

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

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. Now, they must turn their proof of concept into a return on investment.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

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.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

AWS Machine Learning - AI

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. This function initiates a process that sends commands to the IoT device. on Amazon Bedrock.

Artificial Inteligence 137

Artificial Inteligence Lambda Knowledge Base IoT 137

Altexsoft

AUGUST 12, 2020

IoT solutions have become a regular part of our lives. A door automatically opens, a coffee machine starts grounding beans to make a perfect cup of espresso while you receive analytical reports based on fresh data from sensors miles away. This article describes IoT through its architecture, layer to layer.

IoT 140

IoT Architecture Wireless Transportation 140

Xebia

JULY 4, 2022

If you’re contemplating getting started with IoT or need a nudge in the right direction, this article will highlight some great options to get you started. But even in the latter case, a new IoT platform will still fail if the wrong choices were made in the technology selection, right at the project’s inception.

IoT 130

IoT Azure Off-The-Shelf Cloud 130

OTS Solutions

OCTOBER 10, 2023

It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process. include the Internet of Things (IoT) solutions , Big Data Analytics, Artificial Intelligence (AI), and Cyber-Physical Systems (CPS).

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

Palo Alto Networks

DECEMBER 8, 2021

Many governments globally are concerned about IoT security, particularly as more IoT devices are rolling out across critical sectors of their economies and as cyberattacks that leverage IoT devices make headlines. In response, many officials are exploring regulations or codes of practice aimed at improving IoT security.

IoT 98

IoT Government Network Artificial Inteligence 98

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CIO

JUNE 13, 2024

Digital transformation initiatives spearheaded by governments are reshaping the IT landscape, fostering investments in cloud computing, cybersecurity, and emerging technologies such as AI and IoT. However, cybersecurity remains a pressing concern, with organizations striving to fortify their defenses against evolving threats.

IoT 157

IoT Data Center Artificial Intelligence Artificial Inteligence 157

AWS Machine Learning - AI

AUGUST 2, 2024

On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data. The initial draft of a large language model (LLM) generated earnings call script can be then refined and customized using feedback from the company’s executives.

Artificial Inteligence 131

Artificial Inteligence Engineering Generative AI Comparison 131

CIO

JULY 1, 2024

Già oggi, con l’avvento dell’Internet of Things (IoT), molte applicazioni che precedentemente erano ospitate sul cloud si stanno spostando verso l’edge, dove i dati vengono elaborati e gestiti localmente dai server vicino alla fonte del dato stesso. Ma non lo sostituirà, perché i due paradigmi hanno due posizionamenti diversi”.

Artificial Inteligence 152

Artificial Inteligence Cloud Trends Data Center 152

TechCrunch

FEBRUARY 18, 2022

– Artificial intelligence-powered remote patient monitoring wearable technology. BeChained Artificial Intelligence Technologies SL – Smart energy platform for reducing production energy cost and decarbonizing the energy system. Somatix, Inc. TRIPP, Inc. Energizing Mobility. I-EMS Group, Ltd.

3D 221

3D Artificial Inteligence Programming VR 221

Altexsoft

SEPTEMBER 27, 2020

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. Machine learning in Insurance: Automation of Claim Processing. But AI remains a heavy investment.

Insurance 130

Insurance Machine Learning Artificial Inteligence Blockchain 130

CIO

JANUARY 9, 2023

They are playing out across industries with the help of edge computing, Internet of Things (IoT) devices and an innovative approach known as Business Outcomes-as-a-Service. [1] In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

Company 187

Company IoT Technical Review Data 187

AWS Machine Learning - AI

JUNE 26, 2024

Artificial intelligence (AI)-powered assistants can boost the productivity of a financial analysts, research analysts, and quantitative trading in capital markets by automating many of the tasks, freeing them to focus on high-value creative work. Pass the results with the prompt to an LLM within Amazon Bedrock.

Artificial Inteligence 134

Artificial Inteligence Research Knowledge Base Applications 134

AWS Machine Learning - AI

MAY 1, 2025

Refer to Supported models and Regions for fine-tuning and continued pre-training for updates on Regional availability and quotas. The required training dataset (and optional validation dataset) prepared and stored in Amazon Simple Storage Service (Amazon S3). Karel Mundnich is a Sr. Applied Scientist in AWS Agentic AI. He holds a Ph.D.

Generative AI 77

Generative AI AWS Artificial Inteligence Training 77

CIO

AUGUST 20, 2024

Integrating artificial intelligence (AI) into enterprise edge ecosystems is a strategic imperative. However, retail edge environments can include POS systems, smart cameras, sensors, and other IoT devices. These two abilities are crucial for applications like autonomous vehicles or industrial automation.

Artificial Inteligence 172

Artificial Inteligence Healthcare Retail Artificial Intelligence 172

Altexsoft

MARCH 30, 2020

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 170

Artificial Inteligence Strategy Data Machine Learning 170

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Example: Severstal.

IoT 20

IoT Internet Weak Development Team Scalability 20

TechCrunch

JUNE 25, 2021

This also allows businesses to run their machine learning models at the edge, as well. “So this idea that you can move some of the compute down to the edge and lower latency and do machine learning at the edge in a distributed way was incredibly fascinating to me.” Image Credits: Edge Delta.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

CIO

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage. over the 2023-2027 forecast period 1. billion in 2027.

Artificial Inteligence 156

Artificial Inteligence Storage Retail Artificial Intelligence 156

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

TechCrunch

AUGUST 23, 2021

It does this by providing incentives to building owners/occupiers to shift to clean energy usage through a machine learning-powered software automation layer. “Demand response, in the way that we do it, is an alternative for electricity storage units. Y Combinator-backed Kapacity.io

Real Estate 243

Real Estate Energy Artificial Inteligence Machine Learning 243

Palo Alto Networks

MARCH 2, 2025

These networks are not only blazing fast, but they are also adaptive, using machine learning algorithms to continuously analyze network performance, predict traffic and optimize, so they can offer customers the best possible connectivity. This solution is built for businesses that use 5G connectivity within their enterprise.

Business Transformation 105

Business Transformation Telecommunications WAN Chemicals 105

CIO

OCTOBER 1, 2024

With each passing day, new devices, systems and applications emerge, driving a relentless surge in demand for robust data storage solutions, efficient management systems and user-friendly front-end applications. billion user details. SAST is no different.

Security 192

Security Software Review Artificial Intelligence Artificial Inteligence 192

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs).

Knowledge Base 137

Knowledge Base Artificial Inteligence Study AWS 137

CIO

SEPTEMBER 23, 2024

Data-driven insights are only as good as your data Imagine that each source of data in your organization—from spreadsheets to internet of things (IoT) sensor feeds—is a delegate set to attend a conference that will decide the future of your organization. In another example, energy systems at the edge also present unique challenges.

Data 180

Data Energy Artificial Intelligence Artificial Inteligence 180

John Snow Labs

MAY 22, 2024

LLMs and Their Role in Telemedicine and Remote Care Large Language Models (LLMs) are advanced artificial intelligence systems developed to understand and generate text in a human-like manner. LLMs are crucial in telemedicine and remote care.

Artificial Inteligence 40

Artificial Inteligence Healthcare Technical Review Guidelines 40