BizAcuity

JUNE 16, 2022

Under this model, the strategy is to make use of both private (for highly confidential data) and public cloud infrastructure for cost and performance optimization. A well-calculated combination can do miracles for cost saving without compromising on data security. So as to cut latency and optimize the cloud storage system.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

IBM Big Data Hub

FEBRUARY 19, 2024

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

Strategy 83

Strategy Management Forecasting Cost-Benefit 83

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

CIO Business Intelligence

DECEMBER 11, 2023

It will strengthen and improve the veracity of financial data, and, most importantly, it will help CFOs take a more active role in value creation. Going even further, some of the most progressive finance teams are incorporating sensor-based IoT data from plants, factories, and even trucking fleets to prioritize capital expenditures.

Finance 93

Finance Forecasting IoT Predictive Modeling 93

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given observed data X, we can predict some outcome Y.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. Gartner highlights AI trend in banking.

Predictive Analytics 142

Predictive Analytics Technology Analytics Machine Learning 142

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. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JUNE 30, 2022

First came those driven by cloud, mobile, and advanced security. Then came the arrival of 5G, edge, and the Internet of Things (IoT). But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently.

IoT 81

IoT Forecasting Internet of Things Machine Learning 81

CIO Business Intelligence

JULY 5, 2022

First came those driven by cloud, mobile, and advanced security. Then came the arrival of 5G, edge, and the Internet of Things (IoT). But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently.

IoT 80

IoT Forecasting Internet of Things Machine Learning 80

IBM Big Data Hub

JUNE 14, 2023

Evolving technologies and an increasingly globalized and digitalized marketplace have driven manufacturers to adopt smart manufacturing technologies to maintain competitiveness and profitability. These features use data from multiple machines simultaneously, automate processes and provide manufacturers more sophisticated analyses.

Manufacturing 72

Manufacturing Technology Internet of Things Cost-Benefit 72

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 Forecasting Risk 109

IBM Big Data Hub

MARCH 12, 2024

Today, utilities are meeting these challenges and risks with innovation by leaning on data and AI to prepare for the next event. Ineffective outage predictions: Many utilities struggle to accurately predict outages, and load and energy demand due to a lack of weather forecast parameters, inconsistent data and inadequate technology.

Risk 58

Risk Forecasting Data-driven IoT 58

CIO Business Intelligence

JULY 20, 2023

Driven by cutthroat competition and significant shifts in customer expectations, retail companies are striving to align themselves with the changing landscape, with IT playing a crucial role in their ability to achieve this. From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027.

Technology 71

Technology Forecasting Advertising Machine Learning 71

IBM Big Data Hub

MAY 31, 2023

When assets malfunction or aren’t performing optimally, there can be safety issues and financial implications – the average manufacturer reportedly loses about 800 hours a year in downtime. Predictive strategies take this even further and use advanced data techniques to forecast when things are likely to go wrong in the future.

Cost-Benefit 89

Cost-Benefit Strategy IoT Internet of Things 89

IBM Big Data Hub

MARCH 28, 2024

As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. billion by 2033, up from USD 92.64

Enterprise 100

Enterprise Cost-Benefit Data Processing Software 100

CIO Business Intelligence

JUNE 22, 2023

Consulting In the consulting industry, technology has become an important tool for making decisions, designing solutions, improving processes, and providing insights on optimizing business strategy. It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals.

IT 116

IT Insurance Recreation/Entertainment Consulting 116

Cloudera

JULY 20, 2021

Technology drives the ability to use enterprise data to make choices, decisions and investments – which then produce competitive advantage. Thousands of our customers across all industries are harnessing the power of their data in order to drive insights and innovation. GDP forecasts keep rising and falling.

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 97

Enterprise Interactive Data-driven Key Performance Indicator 97

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Healthcare.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 83

Manufacturing IoT Forecasting Machine Learning 83

IBM Big Data Hub

JULY 5, 2023

Asset lifecycle management (ALM) is a data-driven approach that many companies use to care for their assets, maximize their efficiency and increase their profitability. Read this blog post to explore how digital twins can help you optimize your asset performance.

Strategy 53

Strategy Management IoT Cost-Benefit 53

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy. AI for Business.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. billion by 2029, at a CAGR of 28.58% in the forecast period. The complexity of the task determines the cost and availability of functions, as well as how data is processed and integrated.

Data Collection 78

Data Collection Visualization Data-driven Unstructured Data 78

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). As manufacturing plants start to inject autonomous machines into their day-to-day operations, there is a growing need to monitor these devices and forecast maintenance requirements before failure and downtime.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory.

Data Lake 110

Data Lake Analytics Data Warehouse Machine Learning 110

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

JUNE 29, 2023

Digitalization has had a profound impact on the manufacturing sector, enabling businesses to optimize processes, improve quality and reduce costs. It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes.

Manufacturing 55

Manufacturing Internet of Things Cost-Benefit Digital Transformation 55

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

bridgei2i

JUNE 3, 2020

CTD’s growth over the last two decades was aided by technological innovation and the steady drop of electronics components’ costs, driven by economies of scale. However, Italy, which seems to be flattening the curve, has started showing signs of optimism. Apple launched an iPhone version almost every three months. Mobile electronics.

Technology 92

Technology Digital Transformation Recreation/Entertainment Manufacturing 92

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. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

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

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 56

Cost-Benefit IoT Internet of Things Enterprise 56

CDW Research Hub

JANUARY 31, 2020

Everyone from Gartner to ZDNet, and nearly every technology vendor in between, has been busy forecasting the top trends for cybersecurity in 2020. From expanding data privacy regulations to the heightened security concerns of IoT devices, application security is coming into focus for cybersecurity professionals.

IT 52

IT IoT Cost-Benefit Testing 52

Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Let’s introduce the concept of data mining. Toiling Away in the Data Mines.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75