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

datapine

MAY 2, 2023

After parking nearby, the delivery man’s phone GPS continues to stream data to the UPS center, giving a constant account of how long the delivery is taking. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

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

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

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 141

Enterprise Cost-Benefit Optimization Deep Learning 141

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. Hence my two obsessions above.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

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

Occam's Razor

OCTOBER 15, 2012

One common scenario is this: Company PJ spends $250 million on traditional advertising. My goal is to get them excited about creating an amazing digital acquisition strategy that delivers noteworthy experiences through their owned digital platforms, and which ultimately delivers bigger profits (usually offline, but online as well).

Advertising 137

Advertising Marketing Strategy Insurance 137

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

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. This is aligned to the five pillars we discuss in this post.

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.” According to VentureBeat , fewer than 15% of Data Science projects actually make it into production.

Management 363

Management Experimentation B2B Machine Learning 363

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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

Domino Data Lab

JUNE 23, 2019

The person who sets strategy, defines the rules of the market game you’re playing, and they work together with all these different teams and functions within the business to prioritize projects and execute on a roadmap to deliver those. The biggest time sink is often around data collection, labeling and cleaning.

Management 110

Management Machine Learning Experimentation Metrics 110

Jet Global

JUNE 30, 2021

On the other hand, a decreasing OCF can indicate that a company needs to change its core business strategy. As such, it can be concluded that the higher the ratio, the higher the risk to shareholders. You can create as many KPIs as you want, but if they don’t align with company processes, it will make collecting the data difficult.

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