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

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

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 158

Retail IoT Artificial Inteligence Cloud 158

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

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

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

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

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

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.

Artificial Inteligence 210

Artificial Inteligence Machine Learning Big Data Business Intelligence 210

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

Altexsoft

MARCH 30, 2020

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. Central data storage. Analytical solution with machine learning capabilities. chemical content.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

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

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. Modern compute infrastructures are designed to enhance business agility and time to market by supporting workloads for databases and analytics, AI and machine learning (ML), high performance computing (HPC) and more.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

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 99

Business Transformation Telecommunications WAN Chemicals 99

TechCrunch

JANUARY 25, 2022

Grandeur Technologies: Pitching itself as “Firebase for IoT,” they’re building a suite of tools that lets developers focus more on the hardware and less on things like data storage or user authentication. for groups like your neighborhood, school clubs and volunteer orgs.

Company 219

Company Software Review Systems Review Technical Review 219

OTS Solutions

JUNE 2, 2023

Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. IoT devices can be used to collect performance data from equipment and machinery.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

OTS Solutions

DECEMBER 5, 2019

The cloud service provider (CSP) charges a business for cloud computing space as an Infrastructure as a Service (IaaS) for networking, servers, and storage. Virtual reality, augmented reality and machine learning are growing too. A public cloud is an offering by a third-party provider.

Enterprise 42

Enterprise Cloud Data Center Virtualization 42

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

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.

Artificial Inteligence 158

Artificial Inteligence Storage Retail Artificial Intelligence 158

Perficient

FEBRUARY 17, 2025

Recommended Resources: Unity Learn. 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

Hu's Place - HitachiVantara

JANUARY 15, 2019

When the formation of Hitachi Vantara was announced, it was clear that combining Hitachi’s broad expertise in OT (operational technology) with its proven IT product innovations and solutions, would give customers a powerful, collaborative partner, unlike any other company, to address the burgeoning IoT market.

Systems Review 72

Systems Review Storage System Software Review 72

CIO

NOVEMBER 14, 2024

It requires retail enterprises to be connected, mobile, IoT- and AI-enabled, secure, transparent, and trustworthy. She often writes about cybersecurity, disaster recovery, storage, unified communications, and wireless technology. Other impediments include older IT systems and lack of visibility into sales and the supply chain.

Retail 97

Retail Disaster Recovery Technical Review Sustainability 97

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Palo Alto Networks

JANUARY 15, 2021

Whether applied to cybersecurity, networking, compute, storage or anything else, these technologies give companies the ability to prepare for unpredictability and put in place flexibility. Machine Learning: Helping Cybersecurity Systems Becomes More Proactive. IoT Security: More Important Than Ever.

Network 98

Network IoT Artificial Inteligence Machine Learning 98

O'Reilly Media - Data

AUGUST 16, 2018

Storage engine interfaces. Also, there is no easy way for Internet of Things (IoT) application developers to leverage these technologies interchangeably, and have portability so they don’t get tied down by proprietary interfaces—essentially the same guiding principles as were behind the ANSI SQL standards. Storage engine interfaces.

Big Data 190

Big Data Data Storage Azure 190

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 Machine Learning Artificial Inteligence 108

AWS Machine Learning - AI

OCTOBER 31, 2024

AWS Lambda costs are based on the number of requests and compute time, and Amazon DynamoDB charges depend on read/write capacity units and storage used. He enjoys supporting customers in their digital transformation journey, using big data, machine learning, and generative AI to help solve their business challenges.

Generative AI 111

Generative AI Lambda Applications AWS 111

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

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

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 176

Artificial Inteligence Healthcare Retail Artificial Intelligence 176

AWS Machine Learning - AI

APRIL 24, 2024

Solution overview This solution introduces a conversational AI assistant tailored for IoT device management and operations when using Anthropic’s Claude v2.1 This function initiates a process that sends commands to the IoT device. on Amazon Bedrock. This text input is captured and sent to the AI assistant.

Artificial Inteligence 120

Artificial Inteligence Lambda Knowledge Base IoT 120

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. Industrial IoT (IIoT) solution overview diagram. The second, more modern option is MQTT, now available on most IoT devices and certain industrial equipments. Azure IoT Edge – Source: Azure.

IoT 69

IoT Systems Review Industry Software Review 69

Tenable

FEBRUARY 22, 2024

DVM vendors should offer customers a comprehensive view of all assets, including those not traditionally recorded in the CMDB (such as mobile devices, proprietary storage devices, and network appliances), to eliminate blind spots and establish a baseline for effective risk management.

Marketing 123

Marketing Artificial Inteligence Machine Learning IoT 123

TechCrunch

FEBRUARY 18, 2022

MET3R – Unique smart charging and energy storage services to bridge the gap between electric mobility and the smart grid to support the decarbonization of the energy sector. Sovrinti – Provides machine learning-driven activity change detection for healthy aging and person-centered care in the comfort and privacy of home.

3D 221

3D Artificial Inteligence Programming VR 221

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 154

Artificial Inteligence Cloud Trends Data Center 154

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Artificial Inteligence Machine Learning Analytics 98

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

Enterprise Storage Forum recently published their 2018 Storage Trends survey which made some interesting observations. The biggest challenges for IT and business leaders with operating their current storage infrastructure were aging equipment and lack of storage capacity. EB shipped in 1Q 2018. EB shipped in 1Q 2018.

Storage 53

Storage Performance IoT Artificial Inteligence 53