CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 52

Data Integration IoT Cost-Benefit Data Quality 52

CIO Business Intelligence

APRIL 6, 2022

The first wave of edge computing: Internet of Things (IoT). For most industries, the idea of the edge has been tightly associated with the first wave of the Internet of Things (IoT). These data flows then had to be correlated into what is commonly referred to as sensor-fusion. This led to slowing adoption rates of IoT.

IoT 105

IoT Internet of Things Data-driven Manufacturing 105

Smart Data Collective

OCTOBER 16, 2023

This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. The influence of Big Data on business is enormous. Where does big data come from?

Big Data 103

Big Data IoT Cost-Benefit Advertising 103

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

IBM Big Data Hub

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime. The use of digital twins is one such innovation. What is a digital twin?

Technology 59

Technology Cost-Benefit Optimization Internet of Things 59

IBM Big Data Hub

FEBRUARY 19, 2024

It includes everything from product development and strategic decision-making to information systems and new technologies. To mitigate these risks , companies need the resources and technology to develop robust contingency plans. But perhaps most relevant today are the capabilities within SCM to help mitigate disruption.

Strategy 89

Strategy Management Forecasting Cost-Benefit 89

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

Digital Transformation 141

Digital Transformation IoT Data-driven KPI 141

IBM Big Data Hub

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. DL models can improve over time through further training and exposure to more data.

Enterprise 108

Enterprise Interactive Data-driven Key Performance Indicator 108

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies. technologies. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. AI-Powered Big Data Technology. Predictive Business Analytics.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

Rocket-Powered Data Science

JULY 7, 2019

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1) Retail.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

AUGUST 26, 2021

Weather forecasting technology has grown from strength to strength in the last few decades. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips. from various sources.

Forecasting 130

Forecasting Data Analytics Analytics IoT 130

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. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 94

Analytics IoT Cost-Benefit Big Data 94

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Instant reactions to fraudulent activities at banks.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

IBM Big Data Hub

JULY 27, 2023

It offers a holistic view, providing critical data about asset condition, location and efficiency. More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring.

Cost-Benefit 62

Cost-Benefit IoT Internet of Things Enterprise 62

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

Smart Data Collective

JULY 17, 2019

Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. Fortunately, new AI technology could alleviate many of these concerns. New IOT devices will facilitate in-home senior care. This reduces the costs involved.

Cost-Benefit 84

Cost-Benefit Machine Learning Advertising Risk 84

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords!

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 80

Manufacturing Technology Internet of Things Cost-Benefit 80

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Two weeks ago, we announced the finalists.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

CIO Business Intelligence

MARCH 24, 2023

To keep pace, retailers require a strong digital core that delivers powerful data-driven insights while staying compliant, maintaining security, and preventing fraud. Digitally driven innovations such as automated self-checkouts, pick and go, and contactless payments are helping in making happy customers.

Machine Learning 98

Machine Learning IoT Data-driven Predictive Analytics 98

AWS Big Data

MAY 16, 2024

In this post, we discuss how Amazon Redshift spatial index functions such as Hexagonal hierarchical geospatial indexing system (or H3) can be used to represent spatial data using H3 indexing for fast spatial lookups at scale. Navigating the vast landscape of data-driven insights has always been an exciting endeavor.

Data Warehouse 82

Data Warehouse Visualization Cost-Benefit Optimization 82

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. The widespread adoption of AI technology is fueled by 3 major challenges that businesses have been facing since the last decade. Combined, it has come to a point where data analytics is your safety net first, and business driver second.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

IBM Big Data Hub

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Over the past 40 years, Db2 has been on an exciting and transformational journey.

Machine Learning 93

Machine Learning Cost-Benefit IoT Data Warehouse 93

Cloudera

NOVEMBER 4, 2020

Here the insurance industry has a tremendous opportunity to leverage the data sourced from new technology to improve risk assessments and underwriting models – wearable tech such as fitness trackers and other smart devices, geo location, telematics. They’re not using the data to add insight into their customers profiles.

Insurance 113

Insurance Machine Learning Risk IoT 113

Rocket-Powered Data Science

OCTOBER 6, 2023

There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable. This is predictive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361