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

CIO

JANUARY 8, 2025

This involves the integration of digital technologies into its planning and operations like adopting cloud computing to sustain and scale infrastructure seamlessly, using AI to improve user experience through natural language communication, enhancing data analytics for data-driven decision making and building closed-loop automated systems using IoT.

Culture 167

Culture Innovation Technical Review Leadership 167

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

common projects for climate tech professionals are related to EV infrastructure (solar, wind, and nuclear projects), smart grids, and corporate carbon tracking analytics which is fueled in a large part by government subsidies and funding, Breckenridge explains. In the U.S.,

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

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.

Leadership 218

Leadership IoT Machine Learning Artificial Inteligence 218

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 190

Company IoT Technical Review Data 190

Palo Alto Networks

OCTOBER 21, 2024

Hollie Hennessy, Principal Analyst, Omdia Our remote access solution features a simple, browser-based architecture with an integrated jump server that reduces deployment complexity, making secure remote access management easier for both users and administrators.

Compliance 107

Compliance Virtualization Conference Generative AI 107

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Use cases for IoT technologies and an event streaming platform. Use cases for IoT technologies and an event streaming platform.

IoT 20

IoT Internet Weak Development Team Scalability 20

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

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data. A complete guide to business intelligence and analytics.

Analytics 20

Analytics Data IoT Analysis 20

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

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 98

IoT Google Cloud Scalability Microservices 98

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 214

Security Airlines Data Center Internet 214

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 96

Analytics Network Innovation Open Source 96

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 167

Organization Technical Review Data Artificial Inteligence 167

CIO

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. However, it’s important to consider some potential drawbacks of serverless architecture. According to a report by Statista , the global IoT market size is projected to surpass $1.6

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

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 103

Analytics Performance IoT Report 103

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 95

Analytics Retail Architecture Government 95

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 111

Analytics Open Source Government Machine Learning 111

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

CTOvision

FEBRUARY 17, 2015

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Enterprise Cloud Analytics with Amazon Redshift. “We Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

CIO

MAY 21, 2024

Defining a strategic relationship In July 2023, Dener Motorsport began working with Microsoft Fabric to get at that data in real-time, specifically Fabric components Synapse Real-Time Analytics for data streaming analysis, and Data Activator to monitor and trigger actions in real-time.

Data 190

Data Azure Engineering Analytics 190

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 112

AWS Software Review Knowledge Base Artificial Inteligence 112

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

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

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash.

Analytics 21

Analytics Serverless Blockchain Microservices 21

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 Artificial Inteligence How To 85

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 218

Infrastructure Industry 3D VR 218

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 Industry Software Review 69

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

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 179

Business Transformation Cloud Automotive IoT 179

The Crazy Programmer

DECEMBER 13, 2020

A data warehouse is developed by combining several heterogeneous information sources, enabling analytical reporting, organized or ad hoc inquiries, and decision-making. CORBA is the world’s leading middleware solution that enables knowledge sharing, regardless of hardware architectures, language programs, and operating systems.

Engineering 270

Engineering Wireless 3D Programming 270

CIO

JULY 18, 2024

Technologies such as AI, cloud computing, and the Internet of Things (IoT), require the right infrastructure to support moving data securely across environments. This limits both time and cost while increasing productivity, allowing employees to make stronger analytical decisions. These issues add up and lead to unreliability.

Cloud 167

Cloud Data Storage eBook 167

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

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 139

Leadership IoT Transportation Strategy 139

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 148

Industry Artificial Inteligence Machine Learning Artificial Intelligence 148

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 187

Scalability Artificial Inteligence Artificial Intelligence Healthcare 187