Smart Data Collective

JUNE 16, 2025

The future of business strategy will not be decided by intuition alone, but by the integration of fast-learning systems that reshape what decision-making looks like. For more information, look over the accompanying infographic. Founder of Catalyst For Business and contributor to search giants like Yahoo Finance, MSN. Followers Like 33.7k

Business Intelligence

CIO Business Intelligence

JUNE 13, 2025

s two major airports has developed a real-time intelligence platform dubbed Queue Hub that harnesses analytics, AI, IoT, and cloud to make terminal operations more efficient and profitable. MWAA’s IT team overseeing pedestrian, vehicle, and gate traffic at Washington, D.C.’s

Modeling

CIO Business Intelligence

MAY 22, 2025

AI and machine learning models that analyze data and simulate scenarios to predict future behaviors and outcomes. Sources can include Internet of Things (IoT) devices, sensors, existing databases and external systems. Gather data from various sources such as sensors, IoT devices, historical records and external databases.

Enterprise

CIO Business Intelligence

DECEMBER 20, 2024

AI and machine learning models. Modern data architectures must be designed to take advantage of technologies such as AI, automation, and internet of things (IoT). In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data. Application programming interfaces.

Data Architecture

CIO Business Intelligence

FEBRUARY 21, 2025

Boston Dynamics well known robotic dog Spot was among the first advanced robots, and most use machine learning (ML) pattern recognition models. Gonzlez,research manager of industrial IoT and intelligence strategiesat IDC. The idea of furthering human-robotic collaboration is easier if they both can operate the same set of tools.

Manufacturing

Smart Data Collective

JULY 20, 2025

Learning AI Fundamentals Through a CIS Lens You are already ahead if you’ve worked with systems design, databases, and networking in school or on the job. There are CIS graduates who just need to add machine learning and data modeling to their toolkit. You can then move on to supervised and unsupervised learning techniques.

Big Data

AWS Big Data

DECEMBER 16, 2024

This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives. She joined AWS in 2021 and brings three years of startup experience leading products in IoT data platforms.

Visualization

CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. Imagine such a system processing unstructured text data like historical maintenance logs, technician notes, defect reports and warranty claims, and correlating it with structured sensor data such as IoT readings and machine telemetry.

Unstructured Data

CIO Business Intelligence

APRIL 24, 2025

AI is already part of that work, specifically predictive maintenance with machine learning. Were the ones who develop things like signs and information services, Wi-Fi, and communication between IoT sensors and the land side. And thats something we work on a lot.

IT

AWS Big Data

JUNE 6, 2025

This approach creates a robust foundation for your SageMaker Lakehouse implementation while maintaining the cost-effectiveness and scalability inherent to Amazon S3 storage, enabling efficient analytics and machine learning workflows. When not architecting modern solutions, she enjoys staying active through sports and yoga.

Analytics

DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. For instance, suppose a new dataset from an IoT device is meant to be ingested daily into the Bronze layer.

Data Quality

AWS Big Data

NOVEMBER 6, 2024

By using Iceberg for storage, engineers can build applications using different analytics and machine learning frameworks such as Apache Spark, Apache Flink, Presto, Hive, or Impala, or AWS services such as Amazon SageMaker , Amazon Athena , AWS Glue , Amazon EMR , Amazon Managed Service for Apache Flink , or Amazon Redshift.

Metadata

David Menninger's Analyst Perspectives

JANUARY 21, 2025

These include the Atlas Data Lake managed storage offering for analytics and the various components (Atlas Edge Server, Atlas Device Sync and Atlas Device SDK) that were designed to enable local data processing on mobile and IoT devices as well as in remote data centers or disconnected infrastructure.

Data Lake

CIO Business Intelligence

FEBRUARY 20, 2025

When building a machine-learning-powered tool to predict the maintenance needs of its customers, Ensono found that its customers used multiple old apps to collect incident tickets, but those apps stored incident data in very different formats, with inconsistent types of data collected, he says. But they can be modernized.

Insurance

CIO Business Intelligence

JANUARY 6, 2025

AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. How do you foresee artificial intelligence and machine learning evolving in the region in 2025?

IoT

Teradata

JUNE 30, 2025

Integrating data from enterprise resource planning (ERP); customer relationship management (CRM); internet of things (IoT); and external systems—via exchange, transform, and load or exchange, load, and transform ( ETL/ELT ) and streaming ingestion—is essential.

Data Architecture

CIO Business Intelligence

NOVEMBER 14, 2024

It requires retail enterprises to be connected, mobile, IoT- and AI-enabled, secure, transparent, and trustworthy. Other impediments include older IT systems and lack of visibility into sales and the supply chain. Retailers have a lot of work to do, but their goals are achievable.

IT

AWS Big Data

JULY 10, 2025

Under the company motto of “making the invisible visible”, they’ve have expanded their business centered on marine sensing technology and are now extending into subscription-based data businesses using Internet of Things (IoT) data.

Manufacturing

AWS Big Data

JUNE 20, 2025

From detecting fraudulent transactions in financial services to monitoring Internet of Things (IoT) sensor data in manufacturing, or tracking user behavior in ecommerce platforms, streaming analytics enables organizations to make split-second decisions and respond to opportunities and threats as they emerge.

Data Lake

Smart Data Collective

JUNE 26, 2025

Edge nodes include IoT devices, local servers, and sensors. These decentralized points are also known as edge nodes and can widen the attack surface. Edge Nodes An edge node is any computing resource at the edge of a network that helps reduce latency and bandwidth usage by processing data locally. Followers Like 33.7k

Big Data

Smart Data Collective

JUNE 22, 2025

You often hear about machine learning in broad strokes, but we aim to look at how these tools handle the messy reality of raw data. Followers Like 33.7k Followers Like 33.7k Followers Like 33.7k

Big Data

CIO Business Intelligence

JUNE 13, 2025

Today, emerging technologies such as artificial intelligence (AI), the Internet of Things (IoT) and quantum computing (which is still developing) are fundamentally reshaping the landscape of digital transformation. Generative AI and embedded machine learning capabilities now offer substantial value in everyday business scenarios.

Technology

AWS Big Data

JULY 8, 2025

Real-time analytics can help in several aspects, such as improving staffing decisions, baggage rerouting, payload planning, and predictive maintenance of Internet of Things (IoT) sensors and belt loaders. It uses statistical algorithms and machine learning (ML) techniques to forecast outcomes.

Internet of Things

CIO Business Intelligence

JULY 11, 2025

No estamos hablando de pequeñas empresas sin recursos, sino de organizaciones que han invertido enormes cantidades en smart grids , IoT industrial y tecnologías avanzadas. Auditar y eliminar todas las contraseñas por defecto o demasiado fáciles en sistemas críticos, especialmente en interfaces de acceso remoto y dispositivos IoT.

IoT

CIO Business Intelligence

NOVEMBER 11, 2024

Kakkar and his IT teams are enlisting automation, machine learning, and AI to facilitate the transformation, which will require significant innovation, especially at the edge. For example, for its railway equipment business, Escorts Kubota produces IoT-based devices such as brakes and couplers.

IoT

CIO Business Intelligence

DECEMBER 30, 2024

With practical workshops, keynote sessions, and live demonstrations, AI Everything offers a deep dive into the current and future applications of AI, machine learning, and robotics. This event will bring together AI experts, researchers, and tech enthusiasts to discuss how AI is reshaping everything from healthcare to transportation.

Digital Transformation

CIO Business Intelligence

NOVEMBER 18, 2024

“La trasformazione digitale di Hitachi Rail poggia su pilastri chiave: l’integrazione dei dati, la modernizzazione dei sistemi legacy e l’adozione di tecnologie emergenti come IoT e AI”, dichiara Valente.

Data-driven

CIO Business Intelligence

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. For instance, AI-driven predictive maintenance and digital twins can reduce maintenance costs by 20%, optimizing production and supply chains.

IoT

CIO Business Intelligence

DECEMBER 3, 2024

With AI or machine learning playing larger and larger roles in cybersecurity, manual threat detection is no longer a viable option due to the volume of data,” he says. Vincalek agrees manual detection is on the wane.

IT

Teradata

JUNE 5, 2025

By leveraging predictive AI and machine learning algorithms, trained with well prepared, consistent and accurate network data, operators can automate provisioning processes, proactively identify and resolve network faults, and dynamically optimize network resources in real-time.

IoT

CIO Business Intelligence

JULY 10, 2025

This has become a priority for businesses trying to keep up with new technologies such as the cloud, IoT, machine learning, and other emerging trends that will prompt digital transformation.

Enterprise

CIO Business Intelligence

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand.

Software

Smart Data Collective

JULY 8, 2025

DocHorizon uses advanced OCR (Optical Character Recognition) and machine learning to extract, verify, and process data from all kinds of legal documents , including IDs, contracts, and signed forms. Manual checks are still common, but they aren’t built for speed, scalability, or modern security challenges. Followers Like 33.7k

Big Data

Smart Data Collective

JULY 16, 2025

More Read Protecting Public Data Can Machine Learning Models Accurately Predict The Stock Market? 12 Min Read SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more. Followers Like 33.7k Followers Like 33.7k

Management

Smart Data Collective

JUNE 17, 2025

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Testing

CIO Business Intelligence

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

CIO Business Intelligence

FEBRUARY 18, 2025

If you reflect for a moment, the last major technology inflection points were probably things like mobility, IoT, development operations and the cloud to name but a few. It is the de facto foundation for reliability in machine learning, generative AI and agentic AI. Data trust is simply not possible without data quality.

Machine Learning