CIO Business Intelligence

MAY 17, 2023

The big picture : In the midst of a rush to technology modernization, it’s critical to ensure the organization’s data assets are not overlooked. Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind.

Data-driven 109

Data-driven Strategy IT Insurance 109

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Smart Data Collective

JULY 21, 2022

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education.

Data-driven 136

Data-driven Big Data Cost-Benefit Data Analytics 136

TDAN

NOVEMBER 6, 2024

Climate change is no longer a distant threat, but a present reality that’s reshaping the insurance landscape across the United States. A recent New York Times investigation revealed that the impact of climate change on the U.S.

Insurance 52

Insurance Data-driven Risk Marketing 52

CIO Business Intelligence

DECEMBER 14, 2023

As CIOs seek to achieve economies of scale in the cloud, a risk inherent in many of their strategies is taking on greater importance of late: consolidating on too few if not just a single major cloud vendor. This is the kind of risk that may increasingly keep CIOs up at night in the year ahead.

Risk 131

Risk Cost-Benefit Strategy Risk Management 131

CIO Business Intelligence

AUGUST 20, 2024

million to fine-tune gen AI models, and $20 million to build custom models from scratch, according to recent estimates from Gartner. Most SMBs don’t have the resources to create and maintain their own AI models, and they will need to work with partners to run AI models, he adds.

Risk 131

Risk Cost-Benefit Insurance ROI 131

Smart Data Collective

FEBRUARY 3, 2022

Data analytics helps to determine the success of the business. The data-driven trends are helping IT businesses to adopt the changes and meet customer expectations. Most of these businesses rely on data to provide the best customer experience. Therefore, data-driven analytics eventually helps to bring a change.

Data-driven 131

Data-driven Software Analytics Machine Learning 131

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Smart Data Collective

AUGUST 31, 2020

Big data is the lifeblood of modern app development. App developers should also use data analytics to maximize their monetization opportunities. They are embracing new big data initiatives to find the best opportunities. They are embracing new big data initiatives to find the best opportunities. Ads Monetization Model.

Data-driven 108

Data-driven Modeling Advertising Big Data 108

IBM Big Data Hub

APRIL 8, 2024

The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most. To take advantage of new technologies such as AI for product innovation, it is crucial that enterprises have well-organized and managed data assets.

Data-driven 55

Data-driven Management Data Governance Strategy 55

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data. The approach offered lower risks and allowed for comprehensive platform and application testing.

Data-driven 77

Data-driven Analytics Insurance Big Data 77

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Smart Data Collective

JULY 20, 2022

Data-driven decision-making has become a major element of modern business. A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Furthermore, only 13% of companies are actually delivering on their data strategy.

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Data-driven Optimization Big Data Data Strategy 128

Smart Data Collective

DECEMBER 13, 2021

Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models. Some industries have become more dependent on big data than others. New advances in data technology have been especially beneficial for marketing.

Data-driven 137

Data-driven Marketing Strategy Big Data 137

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. The Opportunity of 5G For telcos, the shift to 5G poses a set of related challenges and opportunities.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

Smart Data Collective

JULY 28, 2021

This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation. This wouldn’t be possible without massive advances in big data technology.

Data-driven 136

Data-driven Big Data Manufacturing ROI 136

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. Targeting the Right Variables for Your Data-Driven Retail Business Model.

Data-driven 113

Data-driven Metrics Big Data Sales 113

Smart Data Collective

JUNE 27, 2022

Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. Keep reading to learn how to do this.

Data-driven 114

Data-driven Management IT Big Data 114

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. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

Data-driven 133

Data-driven Software Big Data Manufacturing 133

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 99

Risk Optimization Management Insurance 99

Smart Data Collective

APRIL 22, 2020

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development.

Data-driven 93

Data-driven Software Big Data Testing 93

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Global companies spent over $92.5 Here’s why.

Data-driven 109

Data-driven Cost-Benefit Data mining Big Data 109

CIO Business Intelligence

MARCH 21, 2022

It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. Way back in 1999, his team did a cost-benefit analysis of the free shipping model, which is arguably one of the key drivers of Amazon’s stupendous growth. Poor quality data. billion a year. Out of that, $6.1

Data-driven 116

Data-driven IT Finance Forecasting 116

Smart Data Collective

OCTOBER 5, 2021

There is no denying the fact that big data has become a critical asset to countless organizations all over the world. Many companies are storing data internally, which means that they have to be responsible for maintaining their own standards. Unfortunately, managing your own data server can be overwhelming.

Data-driven 112

Data-driven Management Big Data Software 112

Smart Data Collective

SEPTEMBER 12, 2021

Big data has been an invaluable contribution to our daily lives. We have started relying on big data to research new products, improve our experience online and make a number of other improvements. One of the biggest benefits of big data has been in the field of investing. Are you considering investing in stocks and shares?

Data-driven 86

Data-driven Strategy Big Data Cost-Benefit 86

CIO Business Intelligence

OCTOBER 29, 2024

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. Data theft leads to financial losses, reputational damage, and more.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 102

Data-driven Digital Transformation Risk Risk Management 102

DataRobot

OCTOBER 22, 2021

Procurement misuse, abuse, and inefficiency continues to be a challenge for state governments, driven by large transaction volumes, pressure to reduce costs, and staffing challenges. Their increased usage has also led to new challenges related to compliance, misuse, and fraud risk. These are just some examples of what AI can offer.

Risk 98

Risk Risk Management Data-driven Management 98

CIO Business Intelligence

SEPTEMBER 26, 2024

That’s because significant challenges persist in leveraging GenAI’s large language models (LLMs). One is the security and compliance risks inherent to GenAI. To make accurate, data-driven decisions, businesses need to feed LLMs with proprietary information, but this risks exposing sensitive data to unauthorized parties.

Enterprise 130

Enterprise Data-driven Risk Testing 130

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Smart Data Collective

MARCH 27, 2020

The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. With the technology available today, there’s even more data to draw from. The good news is that this new data can help lower your insurance rate. Demographics. Demographics. This includes: Age. Occupation.

Insurance 108

Insurance Measurement Risk Cost-Benefit 108

CIO Business Intelligence

OCTOBER 23, 2024

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. Gartner’s data revealed that 90% of CIOs cite out-of-control costs as a major barrier to achieving AI success.

Enterprise 141

Enterprise Cost-Benefit Broadcasting Risk 141

Dataiku

DECEMBER 28, 2021

As the everyday use of AI grows across many industries, organizations are experiencing a shift in the culture around data-driven decision making. However, the use of AI, like any other technology, comes with a certain amount of risk.

Risk 59

Risk Risk Management Data-driven Modeling 59

CIO Business Intelligence

JULY 25, 2024

Easy access to online genAI platforms, such as ChatGPT, lets employees carelessly or inadvertently upload sensitive or confidential data. Organizations are reacting to the rise of AI in one of two ways: Encouraging widespread use, with little oversight or understanding of the risks.

Data-driven 128

Data-driven Risk Machine Learning Enterprise 128