In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. No, let’s call it business intelligence.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

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,…). 5) Big Data Exploration. Examples: Cars, Trucks, Taxis. Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Juice Analytics

MAY 11, 2020

Dresner Advisory Services’ report about self-service business intelligence uncovered a surprising result. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.

Reporting 115

Reporting Analytics IT Data Lake 115

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

TDAN

MAY 19, 2020

And the resource in question is data. A century ago, the world discovered a new resource, which spawned a lucrative and fast-growing industry. This new resource was oil. In today’s digital era, however, a new resource has been discovered and the scenes from a century ago are being repeated. Whatever industry you are working in, […].

IoT 66

IoT Data Analytics Analytics Data Strategy 66

Smart Data Collective

SEPTEMBER 26, 2019

We have smartphones, smart speakers, smart cars and an entire Internet of Things (IoT) filled with devices meant to make our lives easier and more intuitive. Even the data businesses use has the option to become smart when business intelligence practices come into play. Develop a Big Data Strategy.

Internet of Things 70

Internet of Things IoT Cost-Benefit Insurance 70

CIO Business Intelligence

MARCH 27, 2024

“Going digital is not only necessary for economic development,” writes Liu Chao, CEO of Huawei’s Manufacturing Business Unit, “but it is also the key to building a modern economic system and shaping industrial competitiveness.” Intelligent solutions enable manufacturers to improve efficiency and build up core competitiveness.

Manufacturing 52

Manufacturing Digital Transformation IoT Testing 52

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. Basic Business Intelligence Experience is a Must.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

TDAN

OCTOBER 6, 2020

Prominent entities across a myriad of sectors are preparing for the digital revolution by integrating a host of technologies such as IoT, AI, Big Data, digital twins, and robotics, in their processes, products, and workflows. The industrial landscape is undergoing a digital transformation at a breakneck speed.

IoT 52

IoT Digital Transformation Manufacturing Data Processing 52

CIO Business Intelligence

JUNE 20, 2022

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. based company’s elevators smarter.

Internet of Things 103

Internet of Things IoT Manufacturing Data Lake 103

CIO Business Intelligence

OCTOBER 16, 2023

Huawei’s digital manufacturing platform Huawei has some impressive examples of how its digital manufacturing methodologies and platform have delivered results in its own manufacturing lines, making full use of advanced technologies such as Artificial Intelligence, IoT and 5G.

Manufacturing 129

Manufacturing Strategy Cost-Benefit IoT 129

TDAN

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security. (..)

Internet of Things 98

Internet of Things IoT Machine Learning Data Processing 98

CIO Business Intelligence

DECEMBER 13, 2023

Unlike that energy company, many organizations have yet to feel an urgency to capitalize on the value of their vast reservoirs of unstructured data. After all, we in the information management and technology industry have talked at length about unstructured data since “Big Data” was big news more than a decade ago.

Unstructured Data 95

Unstructured Data IoT Metadata Modeling 95

CIO Business Intelligence

FEBRUARY 1, 2023

But the issue of cybersecurity risk underlines that responsiveness must be across the board, including unpredictable events such as data breaches, service outages and pandemic disruption. Big Data, Data and Information Security, Digital Transformation

Digital Transformation 97

Digital Transformation Uncertainty IoT Risk 97

CIO Business Intelligence

JULY 20, 2022

Knowledge and adoption of big data, cloud transformation, internet of things (IoT), augmented reality, and robotics are necessary to remain agile. In the post-pandemic era, the retail sector is being defined by a “multi-channel approach” where online and offline channels adapt to both compete and support each other.

Digital Transformation 95

Digital Transformation Internet of Things IoT Business Objectives 95

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

AWS Big Data

APRIL 11, 2023

To address these challenges, businesses need an inventory management and forecasting solution that can provide real-time insights into inventory levels, demand trends, and customer behavior. To take advantage of this data and build an effective inventory management and forecasting solution, retailers can use a range of AWS services.

Forecasting 74

Forecasting Management IoT Data-driven 74

CIO Business Intelligence

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm. They are: Innovations in automation.

Software 133

Software Machine Learning Behavioral Analytics Risk 133

CIO Business Intelligence

FEBRUARY 7, 2024

We deployed AI-based solutions during the Hajj season that leverage automation and big data to improve network optimization and enhance throughput. The solutions deployed to monitor and assess the network to correct any anomalies, thereby enhancing performance and service experiences.

Digital Transformation 52

Digital Transformation Strategy IoT Optimization 52

CIO Business Intelligence

JULY 20, 2023

These solutions leverage the latest advances in IoT and weighing scale and camera technologies to minimize or even eliminate friction, as they can precisely track the items customers add to their baskets and bill them when they exit the store.

Technology 71

Technology Forecasting Advertising Machine Learning 71

TDAN

AUGUST 17, 2021

Manufacturing analytics implies collecting and analyzing data from different systems, machines, IoT […]. Manufacturing analytics has become imperative for the manufacturing industry to keep up its production quality, increase performance with high-profit yields, reduce costs, and optimize supply chains.

Manufacturing 59

Manufacturing Analytics IoT Optimization 59

erwin

JUNE 11, 2020

Collectively, data intelligence refers to the tools, processes, and activities that are developed from business-related data that the company collects and processes for enhancing business processes. Data intelligence can encompass both internal and external business data and information.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Jet Global

JULY 2, 2019

All sources of data within your enterprise are tributaries for your data lake, which will collect all of your data, regardless of form, function, size, or speed. This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network). Bin is passionate about helping utilities achieve digital and sustainability transformations.

Dashboards 76

Dashboards Statistics Data Collection Business Intelligence 76

CIO Business Intelligence

APRIL 25, 2022

Data Science Dojo is one of the shortest programs on this list, but in just five days, Data Science Dojo promises to train attendees on machine learning and predictive models as a service, and each student will complete a full IoT project and have the chance to enter a Kaggle competition. Switchup rating: 4.96 (out of 5).

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

OCTOBER 13, 2021

Ultimately, data helps firms understand and improve their processes, reducing money and time spent on wasted resources. IBM estimates that 90% of all data generated by the Internet of Things (IOT) is not analyzed, or utilized in business decision processes.

Internet of Things 120

Internet of Things Advertising IoT ROI 120

TDAN

JUNE 4, 2019

Internationally, and perhaps a little less visibly, we’ve seen various municipalities step back from the roll out of IoT and machine learning technologies such as tracking of devices connected to public Wi-Fi networks. This past month, San Francisco’s City Council voted to ban the use of facial recognition technologies.

IoT 60

IoT Machine Learning Technology Risk 60

IBM Big Data Hub

SEPTEMBER 19, 2022

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data. Real-time operational dashboards.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

Boris Evelson

NOVEMBER 14, 2018

Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven.

Data-driven 96

Data-driven Data Lake Data Warehouse Business Intelligence 96

Smart Data Collective

JUNE 16, 2022

However, the rapid technology change, the increasing demand for user-centric processes and the adoption of blockchain & IoT have all positioned business analytics (BA) as an integral component in an enterprise CoE. They are using analytics to help drive business growth.

Business Analytics 121

Business Analytics Analytics Forecasting Business Analysis 121

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 81

Visualization Metadata Testing Internet of Things 81

Cloudera

SEPTEMBER 12, 2018

AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Special Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

CIO Business Intelligence

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. report they have established a data culture 26.5% report they have a data-driven organization 39.7% report they are managing data as a business asset 47.4%

Data Strategy 106

Data Strategy Strategy Machine Learning Data-driven 106

AWS Big Data

OCTOBER 26, 2023

Ravi Animi is a Senior Product Management leader in the Amazon Redshift team and manages several functional areas of the Amazon Redshift cloud data warehouse service including performance, spatial analytics, streaming ingestion and migration strategies. Aamer Shah is a Senior Engineer in the Amazon Redshift Service team.

Data Warehouse 93

Data Warehouse Cost-Benefit Dashboards Optimization 93