IBM Big Data Hub

MARCH 4, 2024

Become an AI+ enterprise An AI+ enterprise innovates with AI as the primary focus, understands that AI is fundamental to the entire business, and recognizes that AI impacts all aspects of the business: product innovation, business operations, technical operations, as well as people and culture. times higher ROI. Should you build your own?

Enterprise 107

Enterprise ROI Risk Strategy 107

CIO Business Intelligence

NOVEMBER 18, 2022

How they handle this depends upon the business-unit driver and the organization’s culture, typically defined at the C-level. Then they must choose a financial model, whether an even split, fixed, or proportional model.

Optimization 90

Optimization KPI Key Performance Indicator Cost-Benefit 90

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Smart Data Collective

MAY 10, 2022

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Data analytics serves many different purposes. Using Data Analytics Can Help Create a Better Company Culture.

Data Analytics 131

Data Analytics Analytics Big Data Data-driven 131

IBM Big Data Hub

DECEMBER 19, 2023

This post expands on the topic and provides a maturity model and building blocks that help enterprises accelerate their software supply chain lifecycle in the ever-evolving landscape of enterprise cloud-native software development. This helps adoption and acceleration. This results in trust, efficiency and accuracy in reviews.

Testing 82

Testing Enterprise Modeling Software 82

CIO Business Intelligence

DECEMBER 27, 2023

We’re seeing how fast this technology is maturing, so it’ll have a very different hype cycle.” We’ve been able to leapfrog and do in months what had taken three years, but the data is key. So over the last several months, we’ve been taking a disciplined and educated understanding of large language models and generative AI.

Insurance 141

Insurance Cost-Benefit Risk Technology 141

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Key features of data-first leaders.

Digital Transformation 129

Digital Transformation Strategy Data-driven Data Strategy 129

CIO Business Intelligence

MARCH 11, 2024

To best leverage AI-driven solutions for its CX initiatives, Covanta’s IT has developed a systematic two-step approach that takes into consideration the structure of existing data, the agile and governance framework, and the company’s overall innovation roadmap. Restructure and re-engineer the core data platform.

Data-driven 64

Data-driven Strategy ROI Machine Learning 64

O'Reilly on Data

AUGUST 18, 2020

So you need to redesign your company’s data infrastructure. That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The Two Cultures of Data Tooling. A little of both?

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

IBM Big Data Hub

DECEMBER 19, 2023

As practices like DevOps , cloud native , serverless and site reliability engineering (SRE) mature, the focus is shifting toward significant levels of automation, speed, agility and business alignment with IT (which helps enterprise IT transform into engineering organizations). Those objectives require a target operating model.

Data-driven 72

Data-driven Software Enterprise Testing 72

Cloudera

NOVEMBER 30, 2021

Some organizations have taken this as an opportunity for positive change by moving workloads to the cloud and utilizing enterprise data strategies that are key to their business resiliency. Perhaps it is too soon for those with newer and less mature strategies to see such positive impacts. Their current uses of data and analytics.

Enterprise 73

Enterprise Reporting Data Strategy Strategy 73

CIO Business Intelligence

MAY 28, 2022

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 145

Insurance Machine Learning Digital Transformation Cost-Benefit 145

CIO Business Intelligence

OCTOBER 24, 2023

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. Gartner’s data suggests that, without executive partnership, as many as 88% of CIOs are primed to fall short.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

CIO Business Intelligence

NOVEMBER 8, 2022

A: Right now, we are all in a race against disruption and data. So, how do you establish a data-driven culture to identify and adapt to change? This is why executing a persistent data and analytics strategy is so important. A: We are creating data that is outpacing human capacity. Work-life balance has changed.

Digital Transformation 98

Digital Transformation Statistics Data-driven Strategy 98

Anmut

APRIL 6, 2023

Data is becoming an increasingly important driver of business success, and organisations are recognising the need to manage and leverage their data effectively. However, achieving a high level of data maturity can be a challenging journey. What is a Data Maturity Assessment?

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

CIO Business Intelligence

AUGUST 22, 2023

But digital transformation remains a vital endeavor for today’s enterprise as it is about evolving the business and operating model and not just about modernizing technologies. Another study of 4,000 global organizations found that only 44% had a high digital maturity.

Digital Transformation 98

Digital Transformation Data-driven Cost-Benefit Strategy 98

CDW Research Hub

AUGUST 20, 2020

With the benefits so apparent, why haven’t companies moved to this model en masse ? While almost everyone understands the concept of remote work, trying to figure out a productive remote work model that works best for your company and the path to get there can be difficult.

Digital Transformation 98

Digital Transformation Modeling Strategy Optimization 98

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high.

Insurance 79

Insurance Risk Data-driven Modeling 79

Jedox

JANUARY 3, 2023

Simplified planning enables a culture of decisiveness and confidence. Artificial intelligence is a mature technology that will increasingly support the finance organization. Simplified planning enables a culture of decisiveness and confidence. Adaptability is the new stability. Technology is a talent magnet.

Uncertainty 81

Uncertainty Forecasting Finance Data-driven 81

Cloudera

OCTOBER 8, 2020

Digital transformation is not just about technological transformation of the organization, it’s about transforming the culture of an organization. Businesses are now faced with more data, and from more sources, than ever before. But knowing what to do with that data, and how to do it, is another thing entirely. .

Digital Transformation 102

Digital Transformation Experimentation Unstructured Data Uncertainty 102

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

Cloudera

DECEMBER 16, 2021

The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. But just as WFH has created challenges of its own, so has this trend of data migration.

Data Strategy 83

Data Strategy Snapshot Strategy Reporting 83

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

erwin

FEBRUARY 28, 2024

At Sparkle, we’re a holistic data partner helping organizations increase their data maturity in a strategic yet pragmatic way. While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. For data governance, it’s more complex.

Metadata 52

Metadata Data Governance Data Quality Technology 52

CIO Business Intelligence

DECEMBER 28, 2023

With the increase of data privacy and protection laws, globalization, and interconnectedness, the regulatory environment has become more complex,” says Chris Stanley, content developer for the CGRC exam at training and certification organization ISC2. Best practices, framework and technology have been developed to support this work.

Risk 110

Risk Risk Management Strategy Enterprise 110

CIO Business Intelligence

MAY 26, 2022

Is there a model that can provide the necessary results? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We How can it be built?

Machine Learning 145

Machine Learning Modeling Data-driven Enterprise 145

CIO Business Intelligence

MAY 28, 2022

Is there a model that can provide the necessary results? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We How can it be built?

Machine Learning 143

Machine Learning Modeling Data-driven Enterprise 143

CIO Business Intelligence

FEBRUARY 22, 2023

We live in a world that is more global than ever before and it is important to experience different cultures, customs, and traditions,” he says. Oman offers a good work culture, lifestyle, and the salary is not taxed,” Pant says. “It The levels of process maturity in India were low as compared to Europe.

IT 98

IT Technology Strategy Consulting 98

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 77

Management Risk Measurement Optimization 77

CIO Business Intelligence

APRIL 1, 2024

Those principles are data centric, platform first, cloud based, automation led, and zero trust (so that everything is secure from the start). He continues: “The CIOs we work with aren’t interested in modernizations that aren’t accretive to the organization’s mission, stakeholders, economics, or culture.

Strategy 140

Strategy IT Digital Transformation ROI 140

CIO Business Intelligence

MAY 27, 2022

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 98

Insurance Machine Learning Digital Transformation Cost-Benefit 98

CIO Business Intelligence

MARCH 16, 2022

We are all familiar with the EMR (electronic medial records) adoption and maturity models designed by HIMSS (Healthcare Information and Management Systems Society). But honestly speaking, there exists no unique maturity model which measures the degree of digital transformation.

Technology 110

Technology Digital Transformation Business Intelligence Data Warehouse 110

IBM Big Data Hub

JULY 5, 2023

Moving data and applications from traditional on-premises data centers to cloud infrastructure offers companies the potential for significant cost savings through accelerating innovation, keeping a competitive edge and better interacting with customers and employees. Limit data transfer fees by avoiding unnecessary data transfers.

Optimization 71

Optimization Forecasting ROI Metrics 71

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 75

Analytics Cost-Benefit ROI Business Objectives 75

CIO Business Intelligence

JANUARY 2, 2024

It requires a shift in cultural mindset, one that alters how the organization functions operationally. It involves reimagining our strategies, business models, processes and culture centered around AI’s capabilities, to reshape how we work and drive unparalleled productivity and innovation,” he says.

IT 144

IT Cost-Benefit Statistics Consulting 144

IBM Big Data Hub

OCTOBER 25, 2023

Here’s how CTOs and CIOs can evaluate their technology and data estates, assess the opportunity and chart a path forward. Leaders must also address the expertise gap by prioritizing talent development and get cultural buy-in on modernization as a strategic, future-proofing business investment rather than an operational technology play.

Cost-Benefit 90

Cost-Benefit ROI Modeling Testing 90