IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. Programmatic advertising: Programmatic advertising is the automation of the purchasing and placement of ads on websites and applications.

Marketing 78

Marketing Technology Advertising ROI 78

O'Reilly on Data

JULY 28, 2020

This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool.

Marketing 363

Marketing Experimentation Metrics Testing 363

Smart Data Collective

JUNE 15, 2022

Accurate client data collection and analysis are critical to maximizing all of these activities. Campaign data analytics also aids in the scalability of paid advertising campaigns, allowing you to increase traffic to the sites and advertisements with the highest conversion rates.

Advertising 98

Advertising Cost-Benefit ROI Sales 98

Smart Data Collective

JUNE 29, 2021

To see how the insurance industry is starting to evaluate data today, we can look at the way it has traditionally worked. When applying for insurance, you provide information about all the potential risks based on who you are, where you live, and so on. However, insurance companies gather and evaluate our data far more quietly.

Insurance 128

Insurance Modeling IT Big Data 128

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

datapine

MAY 2, 2023

However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image. After examining their data, UPS found that trucks turning left were costing them a lot of money.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smart Data Collective

FEBRUARY 14, 2020

A recent arrest in Britain highlights how vulnerable our privacy is in the age of big data. Big Data Privacy Risks Are Growing and Anyone Can Access It. Coupled with more modern attack methods such as botnets and smart scrapers, the amount of data that a coordinated attack can collect is staggering.

Big Data 101

Big Data Reporting Risk Advertising 101

FineReport

MARCH 24, 2024

They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes. Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

SEPTEMBER 19, 2023

Personalization When you log onto your favorite social media app or streaming service, the experience is tailored to your personal taste and browsing habits — all the way down to the targeted advertisements. Boeing is using AI to detect anomalies with aircraft sensors, analyze data collected off aircrafts, and improve overall flight safety.

Enterprise 140

Enterprise Cost-Benefit Optimization Deep Learning 140

Smart Data Collective

MAY 17, 2021

Hamburg data protection commissioner Johannes Caspar issued an emergency order prohibiting Facebook from processing this data for three months, citing a privacy policy update that violates European data protection laws. For instance, Facebook’s decision to buy WhatsApp in 2014 was based on data collected via the Onavo VPN.

Cost-Benefit 94

Cost-Benefit Advertising Data Collection Data-driven 94

Smart Data Collective

APRIL 9, 2020

This information is later provided, sold, and monopolized by corporations who are looking to make targeted advertising campaigns, collect user data, and much more. While this might be harmless in a way, not everyone is so calm about giving out their data. And not all data collection consists of mere browsing data.

Advertising 97

Advertising Data Collection Optimization Marketing 97

IBM Big Data Hub

FEBRUARY 14, 2024

Personalize customer experiences The use of AI is effective for creating personalized experiences at scale through chatbots, digital assistants and customer interfaces , delivering tailored experiences and targeted advertisements to customers and end-users. ML can also conduct algorithmic trading without human intervention.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Jet Global

MARCH 17, 2020

” It’s a tool, but it can’t be the final arbiter, and there are some real risks to thinking we can automate diversity. For example, I heard about a project studying gender diversity that discovered the algorithm being used was built with only data from men. Could technology compromise diversity in any way?

Advertising 59

Advertising Data-driven Technology Optimization 59

BizAcuity

MARCH 1, 2019

and constantly report this data to backend. At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users. Then AI/ML algorithms are run on this collected data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Occam's Razor

OCTOBER 15, 2012

Rather I've had to fall back on my trusty steed: data. :). One common scenario is this: Company PJ spends $250 million on traditional advertising. It takes little money – comparatively – to try a new advertising medium, or improve your website, or build a mobile app, or try just about anything else.

Advertising 136

Advertising Marketing Strategy Insurance 136

Jet Global

JUNE 5, 2020

The second is how much of the company’s growth is organic as opposed to being advertisement driven. This can help a company manage cashflows, risk exposure, and rate setting. But that is a costly endeavor that could potentially outweigh the cost savings derived from the data. Centralized data. Reports at your fingertips.

Insurance 59

Insurance Metrics Reporting KPI 59

Jet Global

NOVEMBER 16, 2021

Faced with such monumental potential changes, tax and transfer pricing are now front and centre of MNEs’ operational risk registers. Investing in the right skills and tools that help reduce that risk is a matter for the senior leadership team, not just tax and TP professionals. The Current Picture.

Advertising 97

Advertising Forecasting Uncertainty Risk 97

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 318

Enterprise Deep Learning Data Governance Risk 318

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. I'm doing it to have the ability to simplify things, and take risks. simplification and 2. pressing the right emotional buttons.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

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

O'Reilly on Data

MAY 14, 2020

The foundation of any data product consists of “solid data infrastructure, including data collection, data storage, data pipelines, data preparation, and traditional analytics.” Serving Infrastructure: Our previous article mentioned the need to “walk before running” in the development of AI products.

Management 363

Management Experimentation B2B Machine Learning 363

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. He talked about the risks of reductionism and Descartes’ questionable legacy. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

datapine

AUGUST 29, 2022

The book has three main ideas: The biggest risk your company faces is investing a lot of time and resources into building something that the market doesn’t want. An excerpt from a rave review: “The Freakonomics of big data.”. Stein Kretsinger, founding executive, Advertising. It was lately revised and updated in January 2016.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

MAY 15, 2020

As such, it can be concluded that the higher the ratio, the higher the risk to shareholders. This ratio is often used by lenders when considering a loan, as it gives an idea of how much risk they will be taking on. Total-Debt-to-Equity = (Short-Term Debt + Long-Term Debt) / Shareholder’s Equity. Instant updates.

Metrics 98

Metrics Finance Reporting KPI 98

Domino Data Lab

JUNE 23, 2019

That’s not very useful for finding candidates for job matching, for all the other things you want to do, or for advertising. If you have a user facing product, the data that you had when you prototype the model may be very different from what you actually have in production. We wanted to get those profiles filled out.

Management 110

Management Machine Learning Experimentation Metrics 110

datapine

DECEMBER 28, 2021

Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Misuse of statistics often happens in advertisements, politics, news, media, and others. 3) Misleading statistics in advertising. They sure can.

Statistics 363

Statistics Advertising Visualization Data mining 363

Smart Data Collective

MARCH 30, 2020

While it’s understandable that people are concerned about companies like Google or Facebook, one should not overlook the data that is being gathered by their ISP. And, in most cases, they have the right to sell your information to advertisers. Some ISPs are allowing their customers to opt out of this form of data collection.

Advertising 84

Advertising Data Collection Measurement IT 84

Jet Global

JUNE 30, 2021

As such, it can be concluded that the higher the ratio, the higher the risk to shareholders. As a rule of thumb, investors should consider anything less than 10 percent as a poor rate of return: for comparison, the S&P 500 long-term average return is 14 percent, and likely has less associated risk. Create a company culture.

Metrics 106

Metrics KPI Dashboards Advertising 106

CIO Business Intelligence

APRIL 8, 2024

The bill aims to streamline data protection practices while bolstering individual privacy rights by providing consumers with enhanced control over their personal information. This potential increase in litigation risks underscores the importance of robust data privacy measures and proactive compliance efforts for businesses.

Measurement 84

Measurement Advertising Data-driven Data Collection 84