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 349

Enterprise Deep Learning Data Governance Risk 349

CIO Business Intelligence

JANUARY 14, 2025

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. Technical foundation Conversation starter : Are we maintaining reliable roads and utilities, or are we risking gridlock? Shawn McCarthy 3.

Enterprise 119

Enterprise Technology Metrics Measurement 119

O'Reilly on Data

JANUARY 28, 2019

Almost everyone who reads this article has consented to some kind of medical procedure; did any of us have a real understanding of what the procedure was and what the risks were? The problems with consent to data collection are much deeper. The problems with consent to data collection are much deeper.

Insurance 247

Insurance Metadata Data Collection Marketing 247

David Menninger's Analyst Perspectives

SEPTEMBER 24, 2024

In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. erroneous results), and an equal amount (32%) mentioned legal risk. The AI market has made a tectonic shift in the past year and a half, embracing GenAI.

Testing 173

Testing Modeling Enterprise Risk 173

CIO Business Intelligence

OCTOBER 20, 2022

Cloud adoption empowers organisations to adapt quickly to sudden market disruptions. Exposure to security risk. Access to real-time data relies on instantaneous communication with all your IT assets, the data from which enable your teams to make better-informed decisions. This means one thing: digital transformation.

Risk 105

Risk Insurance Digital Transformation Software 105

O'Reilly on Data

MARCH 31, 2020

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. That foundation means that you have already shifted the culture and data infrastructure of your company. As Jeff Bezos has said , “If you only do things where you know the answer in advance, your company goes away.”.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

AUGUST 16, 2023

Nearly 15 years ago, the then Vägverket Produktion was incorporated so road maintenance on Sweden’s national road network could be put on the competitive open market. Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis.

Risk 98

Risk Cost-Benefit Internet of Things Digital Transformation 98

datapine

AUGUST 12, 2020

In your daily business, many different aspects and ‘activities’ are constantly changing – sales trends and volume, marketing performance metrics, warehouse operational shifts, or inventory management changes. These reports also enable data collection by documenting the progress you make. Why You Need Business Reports?

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

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 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data. Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

NOVEMBER 19, 2024

The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. Imagine that you’re a data engineer. The data is spread out across your different storage systems, and you don’t know what is where. What does the next generation of AI workloads need?

Management 116

Management Unstructured Data Deep Learning Metadata 116

IBM Big Data Hub

SEPTEMBER 6, 2023

1) But what about AI’s potential specifically in the field of marketing? 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. What is AI marketing?

Marketing 78

Marketing Technology Advertising Machine Learning 78

Smart Data Collective

MARCH 19, 2020

The market for AI is changing in spectacular ways. It is estimated that the market for artificial intelligence is going to be worth nearly $400 billion by the year 2025. Another major trend influencing the online gaming industry is the growing number of companies turning to AI with data collection.

Big Data 128

Big Data Marketing Data-driven Risk 128

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

AUGUST 1, 2023

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.

Risk 98

Risk IT Software Digital Transformation 98

Smart Data Collective

MAY 4, 2021

The market for big data is expected to be worth $274 billion by next year. This is hardly surprising, since so many businesses depend on data analytics to draw useful insights on every aspect of their business model. So, how exactly does data analysis benefit today’s modern businesses, and why it is worth learning more about?

Advertising 142

Advertising Marketing Data Collection Data Analytics 142

bridgei2i

SEPTEMBER 24, 2020

In dynamic markets, enterprises need to keep looking for ways to gain an edge over competitors to retain their position and stride forward to the top place. However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem. AI for risk.

Risk Management 52

Risk Management Risk Enterprise Management 52

Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. Data collection and interpretation when purchasing products and services can make a big difference.

Data Collection 112

Data Collection Machine Learning Strategy Data-driven 112

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.” The Data Expertise of the AI PM.

Management 364

Management Experimentation B2B Machine Learning 364

Smart Data Collective

NOVEMBER 16, 2021

With over 2,000 cyberattacks every day, companies of all sizes are at risk. Corporate cyberdefenses produce massive amounts of data through logs and reports. Once again, text mining parses and processes large amounts of data and comes into its own when identifying patterns and anything else notable in the data collected.

Analytics 133

Analytics Unstructured Data Data Collection Software 133

CIO Business Intelligence

OCTOBER 2, 2024

Technology leaders want to harness the power of their data to gain intelligence about what their customers want and how they want it. This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 billion by 2030. Interactions give the “why.”

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

Smart Data Collective

MAY 25, 2023

Organizations should be transparent about their data practices, including how data is collected, stored, and used. They should provide clear and easily understandable privacy policies and terms of service to individuals, outlining the purpose of data collection, the types of info collected, and how it will be used and shared.

Data Collection 105

Data Collection Data-driven Measurement Risk 105

Smart Data Collective

APRIL 30, 2020

In recent years, the term Big Data has become the talk of the town, or should we say, the planet. By definition , big data analytics is the complex process of analyzing huge chunks of data, trying to uncover hidden information — common patterns, unusual relationships, market trends, and above all, client preferences.

Big Data 126

Big Data Cost-Benefit Risk Data Analytics 126

CIO Business Intelligence

SEPTEMBER 26, 2024

“Passive, battery-free RAIN RFID can identify and track items without direct line-of-sight access, enabling real-time, automated data collection and reporting at critical points along the product’s journey.”

IT 131

IT Manufacturing IoT Cost-Benefit 131

BizAcuity

NOVEMBER 13, 2024

As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth. Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

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 127

Advertising Data Collection Optimization Marketing 127

Smart Data Collective

MAY 8, 2022

By combining big data and AI together, companies can improve their business performance in the following ways: Analyzing consumer behavior Customer segmentation automation Personalizing marketing campaigns Customer retention and acquisition Intelligent decision support systems powered by AI and big data. Identifying risks.

Big Data 122

Big Data Data Analytics Analytics Statistics 122

Smart Data Collective

MAY 28, 2021

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure.

Data-driven 139

Data-driven Cost-Benefit Big Data Data Processing 139

CIO Business Intelligence

MARCH 19, 2025

Additionally, Deloittes ESG Trends Report highlights fragmented ESG data, inconsistent reporting frameworks and difficulties in measuring sustainability ROI as primary challenges preventing organizations from fully leveraging their data for ESG initiatives.

IT 59

IT Data Governance Data-driven Metrics 59

Smart Data Collective

FEBRUARY 14, 2020

A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price. A recent arrest in Britain highlights how vulnerable our privacy is in the age of big data.

Big Data 124

Big Data Reporting Risk Advertising 124

Smart Data Collective

APRIL 25, 2022

AI systems can help with the overall management of your businesses online profiles in that they can: Reduce the risk of human error Help with managing time so your employees’ skills can be used elsewhere Improve the efficiency of your business through the use of business intelligence. Assist With Social Media Marketing.

Management 144

Management Machine Learning Marketing Deep Learning 144

Smart Data Collective

DECEMBER 8, 2020

The driving force behind this trend is mostly down to the rising concern people have over their online privacy and the unregulated data collection that has been going on silently in the background for many years. They even get rid of the annoying targeted marketing ads that you see everywhere while browsing the internet.

Big Data 133

Big Data Data-driven Statistics Software 133

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

Data-driven 106

Data-driven Big Data Metrics Strategy 106

CIO Business Intelligence

JULY 25, 2024

Further, the IT command center’s central data collection may differ in alerts. The cause may be configuration issues, a data exfiltration attempt, a ransomware attack, a false alert, or something else. IDC is a wholly owned subsidiary of International Data Group (IDG Inc.),

IT 111

IT Finance Consulting Reporting 111

CIO Business Intelligence

SEPTEMBER 8, 2022

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. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122