CIO

OCTOBER 17, 2023

We’ve all heard this mantra: “Secure digital transformation requires a true zero trust architecture.” The Zscaler Zero Trust Exchange provides a holistic approach to securing users, workloads, IoT/OT devices, and B2B partners. Zscaler’s zero trust architecture for building a security service edge (SSE) ecosystem is second to none.”

Security 326

Security Airlines Data Center Compliance 326

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. Part of the data is (selectively) copied to a message broker for event-driven services, streaming analytics. Messages are also (selectively) transferred to the cloud for analytics and global integration.

IoT 69

IoT Systems Review Software Review Industry 69

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 84

Architecture Data Artificial Inteligence How To 84

CIO

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. For data warehouses, it can be a wide column analytical table.

Organization 232

Organization Technical Review Data Artificial Inteligence 232

CIO

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. Wafaa Mamilli, chief information and digital officer of global animal health business Zoetis describes it well: “A platform model is more than architecture.

SDLC 318

SDLC IoT Machine Learning Artificial Inteligence 318

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

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 94

Analytics Network Innovation IoT 94

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

CIO

JANUARY 26, 2024

One need only look within Ford’s executive ranks to see the technology talent driving its digital future: Doug Field, Ford’s chief electric vehicle (EV) and digital systems officer, and Rob Bedicheck, executive director of platform architecture, were both recruited from Apple. We use the cloud software that we’re building.

Business Transformation 264

Business Transformation Cloud Automotive IoT 264

CIO

JANUARY 24, 2024

The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). Each type and intricate architecture that characterizes Agent Swarms are tailored to specific functions and environments. Layered architecture is a commonly used pattern.

Artificial Inteligence 231

Artificial Inteligence Architecture Artificial Intelligence Machine Learning 231

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better.

Analytics 94

Analytics Retail Architecture Government 94

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

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10.

Big Data 52

Big Data Analytics Data Analysis 52

Cloudera

JUNE 7, 2021

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. CDF enables such enterprises to achieve successful digital transformations with streaming analytics. It’s too late.

Analytics 102

Analytics Performance IoT Report 102

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Data Security Technical Review 124

Zensar

FEBRUARY 18, 2020

The sheer breadth of problems that analytics has already solved and promises to solve in the future has driven organizations to invest increasingly in data & analytics initiatives. From my experience of designing and implementing architectures, the most important consideration is business objective. Implementation timeline.

Architecture 40

Architecture Analytics Sustainability System Architecture 40

CIO

AUGUST 8, 2023

By bringing compute power closer to the point of action, edge computing allows real-time data processing, analytics, and decision-making, thereby improving the well-being and efficiency of front-line workers. Traditional, centralized computing architectures cannot deliver the speed and reliability required for critical frontline tasks.

Industry 227

Industry Artificial Inteligence Artificial Intelligence Machine Learning 227

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 10, 2022

The Internet of Things (IoT) and machine learning that are powering smart hotel applications are accessible to everyone bold enough to try. Here, we will explain what comprises the smart hotel and how you can join the future by establishing an IoT architecture. IoT hospitality applications. IoT in hospitality use cases.

Hotels 59

Hotels IoT Infrastructure Technical Review 59

CIO

FEBRUARY 5, 2024

Healthcare monitoring: Edge AI facilitates remote patient monitoring, predictive analytics and faster diagnostics, revolutionizing healthcare delivery and patient care. These include small form-factor compute devices, gateways, sensors, IoT devices, edge software stacks, diverse networking solutions and multicloud connectivity.

Scalability 282

Scalability Artificial Intelligence Artificial Inteligence Healthcare 282

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 109

Analytics Open Source Government Machine Learning 109

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. and Big Data Analytics in Predictive Maintenance Industry 4.0 IoT devices can be used to collect performance data from equipment and machinery.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Confluent

MAY 22, 2019

Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution.

IoT 95

IoT Google Cloud Scalability Microservices 95

CIO

JULY 19, 2023

When IoT becomes the driver of a new solutions P&L, the general manager of that business will need more technology acumen than general managers of the past. The second is to bring IoT and AI-driven predictive maintenance services to adjacent markets. “By You need EQ not IQ to drive transformation,” Gupta says.

Leadership 157

Leadership IoT Transportation Strategy 157

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill.

Technical Advisors 211

Technical Advisors Artificial Inteligence Generative AI How To 211

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics. Analytics in planning and demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

DECEMBER 18, 2018

Standards and architectures are the guidelines that ensure the ability for open source software to integrate, exchange and interact. Defining these is, therefore, a crucial element, and Cloudera is now taking part in just that for the biggest revolution we’ve seen in business and society: the Internet of Things (IoT).

IoT 43

IoT Open Source Architecture Machine Learning 43

Altexsoft

JUNE 29, 2021

These days, it’s getting more common for application designs to be built on an event-driven architecture. In this article, we’re going to talk about event-driven architecture (EDA) and its most commonly used messaging pattern, publish/subscribe (pub/sub). Understanding event-driven architecture and pub/sub.

Architecture 75

Architecture Microservices IoT Scalability 75

CIO

JULY 11, 2022

According to a recent survey by DemandScience and Comcast Business, over the next 12 months, retail IT executives will prioritize upgrades in digital customer experience (CX), network and cybersecurity solutions, expanded use of analytics-backed decision making, and increased investments in AI.

Retail 239

Retail WAN IoT Firewall 239

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. Devices connected to the IoT have been recognized for a long time as a prime target for hackers and once you have read the article to follow, you will appreciate why. This is good news.

IoT 98

IoT Enterprise Software Review Technical Review 98

CIO

AUGUST 16, 2022

billion, according to a report by MarketsAndMarkets.com, and the infrastructure and architectural engineering and construction (AEC) industries are integral to this growth. By 2026, the global digital twin market is expected to reach $48.2 Another use case relates to worker safety.

Infrastructure 355

Infrastructure Industry 3D VR 355

CIO

JANUARY 31, 2024

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is For example, using ML to route IoT messages may be unwarranted; you can express the logic with a rules engine.”

Sustainability 281

Sustainability Data Center Artificial Intelligence Artificial Inteligence 281

Xebia

DECEMBER 9, 2023

IoT Demo – Bas, Kees, Sander, Tijmen, Matthijs, Olena, Arjan With a large group of people we were able to attack the full chain of an Azure IoT Hub based solution. Read up on this architecture here. First and foremost, IoT is really cool, and the other thing is that NanoFramework does NOT work on an ESP8266.

Innovation 130

Innovation Azure Microservices IoT 130

Altexsoft

SEPTEMBER 23, 2021

Because it is scattered across disparate systems, hardly available for analytical apps. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. Data hubs are often opposed to data warehouses and data lakes as different approaches to a data platform architecture.

Architecture 52

Architecture Data Storage IoT 52

Cloudera

MAY 9, 2019

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Most of the enterprises start an IoT initiative without assessing their potential prior hand to be able to complete it. The five dimensions of the readiness model are –.

IoT 54

IoT Weak Development Team Metrics Architecture 54

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52