CIO

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

Architecture 193

Architecture Enterprise Agile Artificial Inteligence 193

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 Machine Learning Artificial Intelligence Enterprise 111

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

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

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. Agritech firms are hiring IoT and AI experts to streamline farming think smart irrigation and predictive crop analytics.

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

Palo Alto Networks

OCTOBER 21, 2024

Powered by Precision AI™ – our proprietary AI system – this solution combines machine learning, deep learning and generative AI to deliver advanced, real-time protection. Machine learning analyzes historical data for accurate threat detection, while deep learning builds predictive models that detect security issues in real time.

Compliance 111

Compliance Virtualization Conference Generative AI 111

CIO

MARCH 26, 2025

For Namrita, Chief Digital Officer of Aditya Birla Chemicals, Filaments and Insulators, the challenge is integrating legacy wares with digital tools like IoT, AI, and cloud platforms. She adds, Proactively build strong technology stack, AI-driven, and security-first architectures to scale efficiently.

CTO Coach 99

CTO Coach Technical Advisors IoT Sustainability 99

Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. It’s vital for understanding surroundings in IoT applications. Source: Audio Singal Processing for Machine Learning.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

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. The Role of CableLabs.

Artificial Inteligence 102

Artificial Inteligence Artificial Intelligence Machine Learning Wireless 102

CIO

AUGUST 3, 2022

When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. To help determine where IT should stop and IoT product engineering should start, Kershaw did not call CIOs of other food and agricultural businesses to compare notes.

Leadership 218

Leadership IoT Machine Learning SDLC 218

AWS Machine Learning - AI

OCTOBER 31, 2024

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. In the following sections, we explain how to deploy this architecture.

Generative AI 123

Generative AI Lambda Applications AWS 123

Palo Alto Networks

SEPTEMBER 2, 2020

The Challenge Behind Implementing Zero Trust for IoT Devices. Now let’s talk about IoT devices in a similar yet somewhat divergent context. When it comes to unmanaged IoT devices tethered to an organization’s network, most enterprises find it difficult to adhere to standard Zero Trust principles. or Single-Sign-On. .

IoT 98

IoT Firewall Machine Learning Artificial Inteligence 98

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

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

CIO

MARCH 6, 2024

continues to roll out, the internet of things (IoT) is expanding, and manufacturing organizations are using the latest technologies to scale. Marrying machine learning with crowdsourced telemetry and passive identification technology enables organizations to rapidly assess and score risk for everything and everyone that you can now see.

Machine Learning 190

Machine Learning IoT Artificial Inteligence Policies 190

OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

TechCrunch

DECEMBER 15, 2021

CylusOne takes just a few hours to install, requiring zero downtime, fully integrating with new and legacy systems with no changes to the network architecture required, providing full visibility within seconds. . Karamba Security raises another $10M for its IoT and automotive security platform.

Training 247

Training Automotive Transportation Artificial Inteligence 247

AWS Machine Learning - AI

APRIL 1, 2025

Accelerate building on AWS What if your AI assistant could instantly access deep AWS knowledge, understanding every AWS service, best practice, and architectural pattern? Lets create an architecture that uses Amazon Bedrock Agents with a custom action group to call your internal API.

AWS 119

AWS Software Review Knowledge Base Artificial Inteligence 119

Palo Alto Networks

DECEMBER 5, 2022

Protect every connected device with Zero Trust IoT security, tailor-made for medicine. Connected clinical and operational IoT devices are used for everything, from patient monitoring to office systems. Actionable Guidelines Provided with Medical IoT Security.

IoT 98

IoT Healthcare Guidelines Policies 98

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

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. Analytical solution with machine learning capabilities. chemical content.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

Palo Alto Networks

MARCH 10, 2020

The enterprise internet of things (IoT) is rapidly growing, paving the way for innovative new approaches and services in all industries, such as healthcare and manufacturing. million IoT devices in thousands of physical locations across enterprise IT and healthcare organizations in the United States. Unit 42 recently analyzed 1.2

IoT 82

IoT Enterprise Firewall Healthcare 82

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.

Machine Learning 87

Machine Learning Artificial Inteligence Insurance Technical Review 87

AWS Machine Learning - AI

MARCH 13, 2025

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

Artificial Inteligence 95

Artificial Inteligence Lambda Travel Generative AI 95

Altexsoft

AUGUST 9, 2019

Let’s examine one of the most cutting-edge technologies out there – machine learning – and how the need for reliable, cost-efficient processing power has facilitated the development of software-defined networking. Artificial Intelligence and Machine Learning. Why Machine Learning Needs SD-WAN.

Artificial Inteligence 13

Artificial Inteligence WAN Machine Learning Artificial Intelligence 13

CIO

NOVEMBER 29, 2022

Layering technology on the overall data architecture introduces more complexity. Today, data architecture challenges and integration complexity impact the speed of innovation, data quality, data security, data governance, and just about anything important around generating value from data. Data and cloud strategy must align.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

Perficient

FEBRUARY 17, 2025

React : A JavaScript library developed by Facebook for building fast and scalable user interfaces using a component-based architecture. Technologies : Node.js : A JavaScript runtime that allows developers to build fast, scalable server-side applications using a non-blocking, event-driven architecture. Unreal Engine Online Learning.

Development 52

Development Software Review Technical Review Systems Review 52

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

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

CIO

JANUARY 24, 2024

Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Don’t use generative AI for a problem that classical machine learning has already solved. Learn more. Learn more. [1]

Artificial Inteligence 168

Artificial Inteligence Generative AI ChatGPT Machine Learning 168

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

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

JULY 31, 2022

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment.

Artificial Inteligence 147

Artificial Inteligence Strategy Artificial Intelligence Weak Development Team 147

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Architecture 85

Architecture Data How To Artificial Inteligence 85