Rocket-Powered Data Science

MARCH 19, 2021

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030. trillion by 2030.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

O'Reilly on Data

JANUARY 8, 2019

This is also reflected by the emergence of tools that are specific to machine learning, including data science platforms, data lineage, metadata management and analysis, data governance, and model lifecycle management. Burgeoning IoT technologies.

Machine Learning 271

Machine Learning IoT Internet of Things Data Science 271

CIO Business Intelligence

OCTOBER 22, 2024

Large language models that emerge have no set end date, which means employees’ personal data that is captured by enterprise LLMs will remain part of the LLM not only during their employment, but after their employment. CMOs view GenAI as a tool that can launch both new products and business models.

Enterprise 135

Enterprise Risk IoT Cost-Benefit 135

O'Reilly on Data

FEBRUARY 4, 2019

As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for. Machine Learning model lifecycle management. As noted above, ML and AI involves more than model building. We are beginning to see interesting industrial IoT applications and systems.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. MLOps “done right” addresses sustainable model operations, explainability, trust, versioning, reproducibility, training updates, and governance (i.e.,

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

CIO Business Intelligence

DECEMBER 20, 2024

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. AI and machine learning models. Data modeling takes a more focused view of specific systems or business cases. Curate the data.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Rocket-Powered Data Science

SEPTEMBER 25, 2022

This is all fueled and facilitated by data flows across processes, products, and people’s activities, used in synergy with computational models and simulations of the system being digitally twinned. 3) The consistent emphasis on and elaboration of key DT value propositions, requirements, and KPI tracking.

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

CIO Business Intelligence

AUGUST 25, 2023

En route to one of those plants in Missouri, Kietermeyer explained to CIO.com that the combination IoT and edge platform, sensors, and edge analytics rules engine have been successfully employed to address pressure and temperature anomalies and the valve hardware issues that can occur in the diaper-making process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. ModelOps and MLOps fall under the umbrella of DataOps,with a specific focus on the automation of data science model development and deployment workflows.

Testing 300

Testing Machine Learning Consulting Data Quality 300

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. With Grok-3 and other generative AI models, these robots will improve in situational awareness and decision-making.

Manufacturing 125

Manufacturing Machine Learning Consulting Modeling 125

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Even basic predictive modeling can be done with lightweight machine learning in Python or R. They leverage around 15 different models.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Analytics Vidhya

MAY 6, 2024

Introduction Visual Language Models (VLMs) are revolutionizing the way machines comprehend and interact with both images and text. These models skillfully combine techniques from image processing with the subtleties of language comprehension. This integration enhances the capabilities of artificial intelligence (AI).

Visualization 318

Visualization Interactive Modeling Analytics 318

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. The model and the data specification become more important than the code.

Machine Learning 364

Machine Learning Statistics Data Quality Modeling 364

David Menninger's Analyst Perspectives

JANUARY 21, 2025

I assert that through 2026, almost all enterprises developing applications based on GenAI will explore vector search and retrieval-augmented generation (RAG) to complement foundation models with proprietary data and content.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

Rocket-Powered Data Science

JULY 30, 2018

Journey Sciences (using graph and linked data modeling). Context-based customer engagement through IoT (knowing the knowable via ubiquitous sensors). Agile analytics (DataOps). Influencer marketing (amplification of your message to specific audiences). You can read more details about each of these developments in my MapR blog.

Machine Learning 199

Machine Learning Marketing Behavioral Analytics IoT 199

Analytics Vidhya

APRIL 25, 2024

Inspired by attention-based models, it revolutionizes facial recognition technology. Introduction GhostFaceNets is a revolutionary facial recognition technology that uses affordable operations without compromising accuracy.

Visualization 319

Visualization Modeling Technology Analytics 319

CIO Business Intelligence

JULY 11, 2022

To meet the customer demands of a digital-first business model, retailers need to address their critical digital infrastructure and rethink network design and cybersecurity. The number of devices connected to the network has increased significantly with the proliferation of wireless POS, tablets, inventory trackers, and IoT devices.

Modeling 98

Modeling IoT Cost-Benefit Management 98

datapine

NOVEMBER 19, 2019

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Gartner has stated that “artificial intelligence in the form of automated things and augmented intelligence is being used together with IoT, edge computing and digital twins.” Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

DECEMBER 19, 2024

Additionally, nuclear power companies and energy infrastructure firms are hiring to optimize and secure energy systems, while smart city developers need IoT and AI specialists to build sustainable and connected urban environments, Breckenridge explains.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

FEBRUARY 20, 2025

This allows for the extraction and integration of data into AI models without overhauling entire platforms, Erolin says. AI models can then access the data they need without direct reliance on outdated apps. CIOs should also use data lakes to aggregate information from multiple sources, he adds.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

AWS Big Data

NOVEMBER 22, 2024

This upgrade allows you to build, test, and deploy data models in dbt with greater ease and efficiency, using all the features that dbt Cloud provides. This saves time and effort, especially for teams looking to minimize infrastructure management and focus solely on data modeling.

Data Lake 84

Data Lake Data Warehouse Cost-Benefit Data Transformation 84

Smart Data Collective

JANUARY 6, 2021

In this article, we are going to look into the two advanced technologies – IoT and AI which have brought some tremendous changes to the sports sector. However, limitations with standard analytical models t can keep them from assessing and recording those metrics. Role of IoT in bettering the sports domain.

Internet of Things 139

Internet of Things IoT Broadcasting Big Data 139

Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Examples: Cars, Trucks, Taxis. See [link]. Industry 4.0 2) Gbit/sec Internet. (3)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

AWS Big Data

MAY 28, 2024

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing. The event tracker performs two primary functions.

IoT 105

IoT Analytics Dashboards Data-driven 105

CIO Business Intelligence

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] Outcome-based solutions delivered in an as-a-service model allow companies to realize this rapid time-to-value. These scenarios are not imaginary.

IoT 126

IoT Internet of Things Cost-Benefit Digital Transformation 126

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

erwin

JANUARY 3, 2020

While these will remain big data governance trends for 2020, we anticipate organizations will finally begin tapping into the true value of data as the foundation of the digital business model. Data Modeling: Drive Business Value and Underpin Governance with an Enterprise Data Model.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

CIO Business Intelligence

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.

Finance 145

Finance IoT Digital Transformation Sales 145

CIO Business Intelligence

MARCH 8, 2023

The security-shared-responsibility model is essential when choosing as-a-service offerings, which make a third-party partner responsible for some element of the enterprise operational model. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”

Modeling 95

Modeling Risk Management Internet of Things Risk 95

Smart Data Collective

MARCH 28, 2021

For instance, Azure Digital Twins allows companies to create digital models of environments. It is an Internet of Things (IoT) platform that promotes the creation of a digital representation of real places, people, things, and business processes. This is a game-changer in industrial IoT applications.

Cost-Benefit 139

Cost-Benefit IoT Internet of Things Data-driven 139

CIO Business Intelligence

NOVEMBER 16, 2022

The second is leveraging IoT and AI to support new digital services and new digital products that we can offer our consumers. On four strategic priorities: One is delivering product leadership, which includes data and technology that support things like the digital twin and digital thread throughout a product’s lifecycle.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

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.

Visualization 145

Visualization Cost-Benefit IoT Digital Transformation 145

Smart Data Collective

MARCH 23, 2022

So many smart devices have started to connect and communicate over the internet, that the term Internet of Things (IoT) has been coined to describe these “network-aware” devices. Today’s automobiles are no different and are also classified as IoT “devices”.

IoT 131

IoT Internet of Things Cost-Benefit Testing 131

CIO Business Intelligence

MAY 16, 2024

But Parameswaran aims to parlay his expertise in analytics and AI to enact real-time inventory management and deploy IoT technologies such as sensors and trackers on industrial automation equipment and delivery trucks to accelerate procurement, inventory management, packaging, and delivery.

IoT 104

IoT Internet of Things Digital Transformation Sales 104

CIO Business Intelligence

NOVEMBER 28, 2023

The second consideration is identity for IoT devices. Indeed, in the first half of 2023, IoT DDoS attacks surged by 300%, causing a $2.5 Holistic identity management should cover not only people and devices but also the IoT systems that support a company. Moreover, generative AI can be employed to build anomaly detection models.

Management 121

Management IoT Sales Manufacturing 121

CIO Business Intelligence

OCTOBER 30, 2023

Disruption has moved from the exception to the norm With disruption now a constant rather than one-off event, organizations must be able to quickly react to change with agility across all aspects of their operating models. It’s no longer sufficient to pursue after-the-fact transformations.

Digital Transformation 143

Digital Transformation Risk Management IoT Cost-Benefit 143

Smart Data Collective

DECEMBER 2, 2020

With the widespread implementation of the IoT (Internet of things), these databases might be understood on both small and large scales. According to mentioned before IoT, this might be useful in any household, where e.g. the house is controlled via intelligent systems. Want to learn more about GoJS? Check out this article.

Interactive 143

Interactive Visualization Big Data Internet of Things 143