Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? These changes may include requirements drift, data drift, model drift, or concept drift.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

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 107

Data-driven Management IT Big Data 107

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

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 79

Data-driven Strategy Big Data Cost-Benefit 79

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

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.

Data-driven 123

Data-driven Optimization Big Data Data Strategy 123

Cloudera

JUNE 13, 2023

The bank offerings include standard deposit and lending services, credit cards, wealth management, agribusiness finance and insurance, and foreign exchange services for other financial institutions. In 2021, ANZ Bank unveiled its strategy to drive digital transformation, increase their speed to market and become more agile.

Data-driven 81

Data-driven Analytics Insurance Big Data 81

CIO Business Intelligence

JANUARY 22, 2024

As enterprises become more data-driven, the old computing adage garbage in, garbage out (GIGO) has never been truer. The application of AI to many business processes will only accelerate the need to ensure the veracity and timeliness of the data used, whether generated internally or sourced externally.

Data Strategy 131

Data Strategy Strategy Data-driven Enterprise 131

Smart Data Collective

JANUARY 10, 2023

More small businesses are leveraging big data technology these days. One of the many reasons that they use big data is to improve their SEO. Data-driven SEO is going to be even more important as the economy continues to stagnate. Data-driven SEO will be one of the most important ways that they can achieve these goals.

Data-driven 103

Data-driven Data mining Big Data Optimization 103

IBM Big Data Hub

JANUARY 26, 2024

Vegetation management aims to mitigate these risks. But what exactly does vegetation management mean? In this blog, we’ll explore the importance of vegetation management, its impact on multiple industries, the challenges it presents and how technology can streamline this manual and laborious process.

Management 63

Management Risk Data-driven Reporting 63

CIO Business Intelligence

FEBRUARY 27, 2024

Business needs first, then the lifecycle management program Your infrastructure lifecycle management program should be aligned with your organization’s growth roadmap. Then, you should link your infrastructure adoption and governance strategy to specific business outcomes. The same principle applies to infrastructure.

Technology 104

Technology Management Manufacturing Cost-Benefit 104

Smart Data Collective

AUGUST 11, 2021

Big data has become fundamentally important to the future of cybersecurity. A growing number of companies using data analytics, artificial intelligence and other forms of big data technology to bolster their defenses against cyberattacks. AI and Big Data Are Crucial to Cybersecurity in the Medical Field.

Data-driven 130

Data-driven Big Data Manufacturing Software 130

Smart Data Collective

SEPTEMBER 8, 2021

More and more businesses and organizations treat data as an essential asset. The importance of managing and leveraging data cannot be overestimated. The problem is that data can easily take enormous proportions. Thus, finding and isolating relevant data is a daunting task.

Data-driven 129

Data-driven Data Analytics Analytics Marketing 129

Sisense

JANUARY 7, 2022

As businesses adapt to the pandemic and shift to new norms, risk mitigation strategies have become as normal and ubiquitous as having a fire escape in the office. Smarter, AI-driven learning and development initiatives will help mitigate risk in our rapidly evolving world. Minimising risk by ‘infusing’ AI.

Risk Management 52

Risk Management Risk Management Dashboards 52

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. Douglas Merrill, a partner at management consulting firm McKinsey & Co.,

Strategy 98

Strategy Risk Enterprise Risk Management 98

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111

Risk Modeling IT Risk Management 111

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

IBM Big Data Hub

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

Marketing 114

Marketing Strategy B2B Cost-Benefit 114

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 133

Data-driven Big Data Manufacturing ROI 133

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? Types of Model Risk.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Smart Data Collective

FEBRUARY 24, 2022

Big data has made the field of cybersecurity a lot more complicated. On the one hand, many cybersecurity professionals are using big data technology to fortify their defenses and more easily respond to cybersecurity threats. They are using big data to orchestrate more viscous attacks than ever before.

Data-driven 98

Data-driven Big Data Risk Software 98

CIO Business Intelligence

DECEMBER 13, 2022

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. Supply and consumption are symbiotic principles that together maximize the value of the enterprise data asset.

Data Analytics 104

Data Analytics Strategy Analytics Metrics 104

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 110

Strategy Data Strategy ROI Cost-Benefit 110

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 107

Data-driven Metrics Big Data Sales 107

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 103

Data-driven Cost-Benefit Data mining Big Data 103

Smart Data Collective

NOVEMBER 29, 2021

We have endlessly discussed the benefits of using big data to make the most out of your marketing strategies. Companies that neglect to use data analytics, AI and other forms of big data technology risk falling behind to their competitors. Data Technology Makes Email Marketing Automation Far More Feasible.

Data-driven 107

Data-driven Marketing Big Data Sales 107

CIO Business Intelligence

MARCH 9, 2022

Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud.

Strategy 145

Strategy Consulting Risk Testing 145

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. Listening time: 12 minutes.

Risk Management 128

Risk Management Risk Enterprise Management 128

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 333

Management Machine Learning Experimentation Metrics 333

CIO Business Intelligence

MAY 24, 2024

The added demand for remote access to corporate applications driven by business continuity, customer reach, and newfound employee satisfaction comes with a heightened concern over data security. Most vendor offerings typically seek to address siloed segments, such as network or endpoint security, identity, or data security.

Risk Management 95

Risk Management Data-driven Risk Software 95

datapine

MARCH 8, 2021

Rapid technological evolution means it’s now possible to use accessible and intuitive data-driven tools to our advantage. We’ve delved into the impact of big data in healthcare. Without healthcare data reporting, it’s unlikely healthcare institutions will ever reduce these figures to an acceptable level on a sustainable basis.

Reporting 198

Reporting KPI Management Cost-Benefit 198

Smart Data Collective

MAY 13, 2022

There are many reasons big data has become a double-edged sword for businesses. Many companies are using data analytics to monitor their employee productivity and other behavior. It can be even more beneficial than using big data for recruiting. This is an area where big data can help immensely.

Data-driven 108

Data-driven Big Data Software Data Analytics 108

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 86

Strategy Data Architecture Cost-Benefit Reporting 86

CIO Business Intelligence

FEBRUARY 13, 2023

To make real strides in each of these areas, Value Stream Management (VSM) has emerged as an urgent demand. The findings from this survey are now available in a report entitled “ 2023 Value Stream Management Trends.” With supply chain issues and the impending recession, digital transformation remains a pressing strategic imperative.

Digital Transformation 145

Digital Transformation Management Reporting Data-driven 145

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury.

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

erwin

MAY 31, 2019

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. That’s right.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104