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).

Dashboards 78

Dashboards Statistics Data Collection Business Intelligence 78

Smart Data Collective

OCTOBER 17, 2022

Sometimes, developers could make mistakes when creating IoT hardware and software, which could put the organization at risk of cybersecurity threats. The first is to enhance their monitoring of these devices using tools like SIEM or security information and event management systems. General IoT compliance.

IoT 119

IoT Risk Internet of Things Software 119

CIO Business Intelligence

FEBRUARY 13, 2024

Using data and analytics to preserve the rainforest The Smart Rainforest initiative goes beyond data collection. It uses advanced data analytics and AI to derive meaningful insights from the vast amounts of information gathered.

IoT 59

IoT Internet of Things Machine Learning Data Collection 59

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 112

Cost-Benefit Internet of Things Data-driven Data Lake 112

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. Join the IBM Sustainability Community 1 Green transition creates $10.3T

Reporting 89

Reporting Internet of Things Cost-Benefit Data-driven 89

Cloudera

APRIL 20, 2022

One of our insurer customers in Africa collected and analyzed data on our platform to quickly focus on their members that were at a higher risk of serious illness from a COVID infection. These segments were based on risk profiles, and the insurer implemented tailored plans to support each segment.

Insurance 101

Insurance Measurement Data Lake Risk 101

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

IBM Big Data Hub

FEBRUARY 23, 2024

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. To ensure that consent is informed, the organization should clearly explain what it collects and how it will use that data at the point of data collection. Consents cannot be bundled, either.

Measurement 75

Measurement Risk Data Collection Data Processing 75

O'Reilly on Data

OCTOBER 22, 2020

The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. How I use it: I like to ask this as early as possible.

Consulting 303

Consulting Risk Cost-Benefit Modeling 303

CIO Business Intelligence

MARCH 30, 2022

But that takes a deep understanding of the decision-making process, the risks and rewards of each decision, the acceptable margin of error, and the ability to figure how confident you should be in any decision offered by your automated decision processes. Risk scoring traditionally involved a series of if-then decisions.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

CIO Business Intelligence

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Regulation: Lawmakers worldwide are considering privacy legislation and other rules that could limit the scope of data collection and AI use cases.

Advertising 89

Advertising Recreation/Entertainment Experimentation Enterprise 89

IBM Big Data Hub

FEBRUARY 14, 2024

These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. They can also help businesses predict future events and understand why past events occurred. ML algorithms can predict patterns, improve accuracy, lower costs and reduce the risk of human error.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

CIO Business Intelligence

JULY 5, 2022

NTT, which partners with Penske Entertainment for the NTT Indycar Series, including the Indy 500 race, collected an estimated 8 billion data points through the sensors on Ericsson’s car and that of his 32 competitors. On a given race day, it is the second-largest city in Indiana,” Indart says.

Recreation/Entertainment 96

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 96

CIO Business Intelligence

MARCH 2, 2023

The manual states, “outsourced cloud services may be located offshore and subject to lawful and covert data collection without their customers’ knowledge. Additionally, use of offshore services introduces jurisdictional risks as foreign countries’ laws could change with little warning.

Data Processing 52

Data Processing Data Collection Technology Risk 52

IBM Big Data Hub

APRIL 22, 2024

The US City of Atlanta , for example, uses IBM data collection, machine learning and AI to monitor public transit tunnel ventilation systems and predict potential failures that could put passengers at risk. This will help advance progress by optimizing resources used.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

IBM Big Data Hub

JUNE 8, 2023

These elements support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, achieve greater efficiencies and respond to risks.

Technology 77

Technology Measurement Cost-Benefit Data-driven 77

CIO Business Intelligence

JULY 1, 2022

NTT, which partners with Penske Entertainment for the NTT Indycar Series, including the Indy 500 race, collected an estimated 8 billion data points through the sensors on Ericsson’s car and that of his 32 competitors. On a given race day, it is the second-largest city in Indiana,” Indart says.

Recreation/Entertainment 91

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 91

BizAcuity

JULY 7, 2020

With limited seating and slot machine on the floor, casinos are ensuring that the risk of the spread of the virus is contained. Across all casinos that have opened in the United States, grand tournaments and special events have been limited and buffets have been kept closed so that human interaction can be restricted.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

Smart Data Collective

DECEMBER 17, 2020

When clinicians have an opportunity to review this data during the diagnostic process, they can create a more effective treatment strategy. The risk of medical errors is also significantly reduced. This functionality facilitates the early detection of health issues and helps to prevent adverse events. Enhanced safety.

Data-driven 117

Data-driven Big Data Software Risk 117

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CDW Research Hub

JANUARY 8, 2020

Identify and reduce your cloud vendor risk. As your organization moves to cloud services and applications, it’s important to identify the associated risks. Your data will have increased exposure, regardless of the security controls the vendor has in place. A solid understanding of your data is a good place to start.

Strategy 52

Strategy Business Driver Behavioral Analytics Risk 52

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. The purpose of collection and interpretation is to acquire useful and usable information and to make the most informed decisions possible. What is the keyword? Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

IBM Big Data Hub

MAY 26, 2023

With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation. The role of AWS and cloud security in life sciences However, with greater power comes great responsibility.

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. By having a plan in place to address unexpected events or challenges, sponsors can minimize disruptions and keep the trial on track.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Smart Data Collective

OCTOBER 26, 2019

While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Big Data Storage Concerns.

Big Data 45

Big Data Data Lake Cost-Benefit Measurement 45

Ontotext

APRIL 4, 2019

But still, is there a risk that AI could replace people at their workplace? We minimized the time between the event (and what the journalist wanted to say about it) and the moment the reader or viewer could consume it. This is a knowledge that anyone can get, but it would take much longer than optimal. It’s very likely.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

The Unofficial Google Data Science Blog

APRIL 17, 2017

They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet. If unaccounted for, these data points can have an adverse impact on forecast accuracy by disrupting seasonality, holiday, or trend estimation.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. Integrating reporting to move to a more streamlined, efficient approach to data collection. We think their adoption will bring benefits well beyond reporting.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Smart Data Collective

FEBRUARY 14, 2023

Creation and control of event funnels. The analyst’s task is to analyze in-game events and track their success/popularity based on the indicators of emotions and monetization. Gaming data analytics should constantly be looking for project improvements. Creation of hypotheses and their testing.

Big Data 118

Big Data Data Analytics Analytics Testing 118

Occam's Razor

MARCH 30, 2017

On your phone, try to search for people in your lives by name, by faces, combine their name with events/things/locations and you’ll be surprised at what the AI returns. We are needed today because data collection is hard. Insane as it seems like, data collection should get sorted out in the next few years.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

IBM Big Data Hub

FEBRUARY 8, 2023

There is a growing need to proactively drive responsible, fair, and ethical decisions, designed to: Manage risk and reputation No organization wants to be in the news for the wrong reasons, and recently there have been a lot of stories in the press regarding issues of unfair, unexplainable, or biased AI. “The

Risk Management 52

Risk Management Risk Metadata Modeling 52

CDW Research Hub

APRIL 18, 2022

Many security operations centers (SOCs) are finding themselves overwhelmed by telemetry data to correlate, a proliferation of tools, expanding attack surfaces that are challenging to monitor and secure, and data silos across security and IT products, security information and event management (SIEM) systems, enterprise data, and threat intelligence.

Data Lake 75

Data Lake Enterprise Data Collection Risk 75

CIO Business Intelligence

AUGUST 15, 2023

A risk-limiting audit (RLA) is one audit type used for election verification. But the event yielded an even bigger result in form of PowerInsights, an interactive geospatial visualization, analytics, and AI tool that helps the company identify potential new customers and offer other new market opportunities.

IT 94

IT Manufacturing IoT Cost-Benefit 94

IBM Big Data Hub

NOVEMBER 14, 2023

A value exchange system built on data products can drive business growth for your organization and gain competitive advantage. This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

Snapshot 84

Snapshot Data Lake Testing Strategy 84

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

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. It can offer data on demand to different business units within an organization, with the help of various sensors and payloads. The global commercial drone market is projected to grow from USD 8.15

Data Collection 77

Data Collection Visualization Data-driven Unstructured Data 77