CIO Business Intelligence

DECEMBER 7, 2023

A nation known for innovative efficiency was a failure in one key area It goes without saying that the faster and more effectively disasters can be forecasted, detected, and responded to, the better the chance of minimizing damage and saving lives. And the key to success is having data that can be analyzed for actionable insights.

IoT 84

IoT Internet of Things Forecasting Digital Transformation 84

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Advanced software tools can automate some parts of forecasting, providing real-time updates and alerts when inventory levels are too high or low.

Strategy 88

Strategy Management Forecasting Cost-Benefit 88

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 94

Finance Forecasting IoT Predictive Modeling 94

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. With AI, it can even prescribe the appropriate action that needs to be taken and when.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

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

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 127

Digital Transformation IoT Data-driven KPI 127

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

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 81

Manufacturing IoT Forecasting Machine Learning 81

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

Jet Global

AUGUST 24, 2020

IOT and other sensor-driven technologies have created a data ecosystem that is growing, changing and moving at unprecedented speeds – a landscape of living data that is constantly evolving across all businesses today. About iVEDiX. For more information, please visit the company’s website at ivedix.com.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

CIO Business Intelligence

JUNE 22, 2023

It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals. But you’ll also find a high demand for software engineers, data analysts, business analysts, data scientists, systems administrators, and help desk technicians.

IT 118

IT Insurance Recreation/Entertainment Consulting 118

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. Leveraging data where it lies.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

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

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

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 105

Enterprise Interactive Data-driven Key Performance Indicator 105

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

CIO Business Intelligence

FEBRUARY 24, 2023

For network operators, service providers, and equipment and solution providers, it’s no longer enough to secure voice and data across Layer 3 (network layer) and Layer 4 (transport layer) of the pipe. As this technology becomes pervasive across the globe, PwC has forecast that the global economic impact of 5G will exceed $1.3

Risk 107

Risk Digital Transformation IoT Enterprise 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 60

Cost-Benefit IoT Internet of Things Enterprise 60

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 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

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 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

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. The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

datapine

JULY 17, 2019

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. But with so much data available from an ever-growing range of sources, how do you make sense of this information – and how do you extract value from it? Looking for a bite-sized introduction to reporting?

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

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

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Optimization 79

Optimization Data Analytics Analytics Cost-Benefit 79

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. Recent data indicates daily e-commerce sales to be up by 25% in the US and by 33% in the UK. Fast proactive planning driven by AI holds the key.

Technology 92

Technology Digital Transformation Recreation/Entertainment Manufacturing 92

CIO Business Intelligence

MARCH 16, 2022

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. CIO Middle East: Data Analytics is key in healthcare.

Technology 100

Technology Digital Transformation Business Intelligence Data Warehouse 100

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Data and analytics. Broader data sets . That is no longer good enough.

Manufacturing 87

Manufacturing Forecasting Digital Transformation Sales 87

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

Cloudera

DECEMBER 15, 2017

Manufacturing as an industry has always been at the forefront of squeezing value from data. Constrained by the state of technology more than cost, process optimisation was always achieved by making clever use of the data available and has given rise to completely new disciplines and applications. A whole new world.

Manufacturing 40

Manufacturing IoT Machine Learning Data-driven 40

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 83

Data-driven Data Lake Data Warehouse Cost-Benefit 83

Smart Data Collective

SEPTEMBER 19, 2021

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role. Brilliant Growth and Wages.

Data-driven 119

Data-driven Big Data Marketing IoT 119

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. Edge computing moves computation and storage closer to the data sources.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

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 63

Risk Forecasting Data-driven IoT 63

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 81

IoT Forecasting Internet of Things Machine Learning 81

IBM Big Data Hub

MAY 31, 2023

Multiple factors must be considered, such as your industry, the type and usage of the asset, how expensive it is to replace, how much of the right kind of data you have, and how much impact failure would have on your business and customers. The decision isn’t simple.

Cost-Benefit 97

Cost-Benefit Strategy IoT Internet of Things 97