Smart Data Collective

JUNE 8, 2023

The introduction of data collection and analysis has revolutionized the way teams and coaches approach the game. Liam Fox, a contributor for Forbes detailed some of the ways that data analytics is changing the NFL. Big data will become even more important in the near future.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

Rocket-Powered Data Science

JUNE 17, 2022

release enables DevSecOps users to gain more insights from Observability data with Federated Search, with the ability to correlate ops with security alerts, and with Edge Management, all in one platform. My closing thought — Cybersecurity is basically Data Analytics: detection, prediction, prescription, and optimizing for unpredictability.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

O'Reilly on Data

DECEMBER 10, 2019

As Chris Ré said at our conference , we’ve made a lot of progress in automating data collection and model generation; but labeling and cleaning data have stubbornly resisted automation. With AutoPandas, and automated tools for optimizing database queries, we’re just starting to see AI tools that are aimed at software developers.

Software 261

Software Machine Learning Risk Data-driven 261

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

IBM Big Data Hub

SEPTEMBER 12, 2023

The consortium ran a pilot that provided the government with additional supply chain data for 700,000 consignments. Through the pilots, the UK government found that novel, digital, risk-based methods for border control can provide higher quality data and could decrease decision-making time for goods entering Britain by 17%.

Testing 92

Testing Modeling Cost-Benefit Consulting 92

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. The smart factories that make up Industry 4.0 Join the IBM Sustainability Community 1 Green transition creates $10.3T

Reporting 97

Reporting Cost-Benefit Internet of Things Data-driven 97

CIO Business Intelligence

FEBRUARY 10, 2023

With predictive analytics, organizations can find and exploit patterns contained within data in order to detect risks and opportunities. By optimizing marketing campaigns with predictive analytics , organizations can also generate new customer responses or purchases, as well as promote cross-sell opportunities.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

SEPTEMBER 19, 2023

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

DECEMBER 19, 2023

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. While cloud technology has many benefits, it also poses security risks, especially when it comes to protecting sensitive information.

Data Lake 110

Data Lake Management Cost-Benefit Data Processing 110

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 107

Data Collection Machine Learning Strategy Data-driven 107

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. 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.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

JANUARY 9, 2023

They are also perfect for storing and visualizing large healthcare data models so it can be quickly processed and analyzed. Graphs can make previously unavailable connections from disparate data spread across many different platforms. Why Graph Analytics is Important for Healthcare Hospitals deal with stockpiles of data.

Analytics 104

Analytics Cost-Benefit Visualization Risk 104

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Risk Management. One of the more obvious use cases of data’s role in reducing risk is insurance policies.

Data-driven 108

Data-driven Manufacturing Insurance Risk Management 108

IBM Big Data Hub

JANUARY 19, 2023

The key to differentiation comes in getting data protection right, as part of an overall data strategy. Keep reading to learn how investing in the right data protection supports and optimizes your brand image. A lot of organizations aren’t as mature in this area of data ethics.

Risk Management 62

Risk Management Risk Strategy Data Strategy 62

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

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 96

Insurance Measurement Data Lake Risk 96

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. AI can help marketers create and optimize content to meet the new standards. What is AI marketing?

Marketing 84

Marketing Technology Advertising ROI 84

IBM Big Data Hub

APRIL 22, 2024

The platform, created in partnership with Andel Energi in Denmark, uses IoT sensors, AI and the cloud to provide an energy ecosystem for consumers to participate in real-time, intelligent grid optimization. This will help advance progress by optimizing resources used.

IoT 84

IoT Internet of Things Cost-Benefit Reporting 84

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 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

CIO Business Intelligence

JULY 3, 2023

However, the AI future for many enterprises lies in building and adapting much smaller models based on their own internal data assets. Rather than relying on APIs provided by firms such as OpenAI and the risks of uploading potentially sensitive data to third-party servers, new approaches are allowing firms to bring smaller LLMs inhouse.

Management 105

Management Experimentation Modeling Enterprise 105

CIO Business Intelligence

SEPTEMBER 2, 2022

The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. Part of the role also includes continually improving the organization’s technology stack, while maintaining a priority for business continuity and risk management.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. Part of the role also includes continually improving the organization’s technology stack, while maintaining a priority for business continuity and risk management.

Finance 98

Finance IT Software Reporting 98

Smart Data Collective

NOVEMBER 1, 2023

This system enables you to automate employee hours recording and tracking, preventing manual timesheet use and reducing the risk of inaccuracies. Poor quality work can damage your company’s image and result in rework, harming team morale Teamwork: An organization is more robust when employees brainstorm and collectively solve issues.

Metrics 86

Metrics Measurement Data-driven Optimization 86

FineReport

JUNE 7, 2023

To promote cohesion, collaboration, intelligence, and profitability within your company’s strategic activities, whether large or small, adopting an online data visualization approach is paramount. Timely Risk Identification and Mitigation: Project management dashboards facilitate the identification and management of project risks.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

IBM Big Data Hub

MAY 26, 2023

Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. Cloud is transforming the way life sciences organizations are doing business.

Consulting 78

Consulting Cost-Benefit Optimization Machine Learning 78

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 118

Analytics Unstructured Data Data Collection Software 118

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. ML algorithms can predict patterns, improve accuracy, lower costs and reduce the risk of human error.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

CDW Research Hub

DECEMBER 22, 2020

Upon hearing the news, Sirius Executive Vice President of Managed Services and Cloud, Michael Conley remarked, “Our ability to optimize and accelerate the journey to the cloud is what makes us unique, and it is a great honor to be recognized as the leader of the NextGen 101 rankings. Data was collected in 2020.

Management 97

Management Optimization Metrics Data Collection 97

DataRobot

OCTOBER 20, 2021

Because of the multidisciplinary nature of AI products, stakeholders across an entire organization must share a common understanding of each project’s scope, deployment, governance , impact, and projected risk. Achieving that level of governance at scale requires a common understanding of AI and data concepts. WHITE PAPER.

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Cloudera

SEPTEMBER 29, 2021

However, with the COVID-19 pandemic placing extreme pressure on governments to deliver accessible and efficient services while ensuring optimal user experience, going digital is now a necessity and not a luxury. This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks.

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

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 122

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

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

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

AUGUST 3, 2023

This means companies especially need their software applications to perform optimally because they are often a source of competitive advantage. Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. What is application health monitoring?

Measurement 66

Measurement Metrics Risk Software 66

IBM Big Data Hub

SEPTEMBER 20, 2023

Or they can stay on the sidelines and risk missing out on AI’s ability to help agencies more effectively meet their objectives. For example, public sector agencies can make better use of data by migrating certain technology systems to the cloud and infuse it with AI.

Cost-Benefit 108

Cost-Benefit Digital Transformation Technology Modeling 108