Jen Stirrup

NOVEMBER 15, 2022

How can systems thinking and data science solve digital transformation problems? Understandably, organizations focus on the data and the technology since data retrieval is often viewed as a data problem. How is it possible to enable data-driven decisions in a systems thinking approach?

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

KDnuggets

AUGUST 16, 2022

High data availability may help power digital transformation, but data management systems are needed to keep that data organizaed and make it accessible. Read this article to see why data management is important to data science.

Data Science 133

Data Science Management Digital Transformation IT 133

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Instead, what we really need is for our business to run at the speed of data. Datasphere is not just for data managers.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

NOVEMBER 4, 2024

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. From nimble start-ups to global powerhouses, businesses are hailing AI as the next frontier of digital transformation. Nutanix commissioned U.K.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

KDnuggets

DECEMBER 9, 2019

The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions.

Data Science 123

Data Science Digital Transformation 123

CIO Business Intelligence

MARCH 25, 2025

After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digital transformation initiative. These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities?

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

O'Reilly on Data

NOVEMBER 8, 2018

The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process.

Machine Learning 251

Machine Learning Enterprise Deep Learning Digital Transformation 251

CIO Business Intelligence

AUGUST 1, 2023

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Digital Transformation, Generative AI, IT Strategy That’s my key advice to CIOs and IT leaders.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

CIO Business Intelligence

OCTOBER 4, 2023

Ultimately, the goal is to drive the inclusion, ubiquity and utility of digital assets to further define the future of commerce and value exchange. Artificial Intelligence, Digital Transformation, Emerging Technology, Innovation, Payment Systems

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

Smart Data Collective

MARCH 2, 2022

Data science is an evolving profession. A number of new platforms and tools are being regularly rolled out to help data scientists do their jobs more effectively and easily. Savvy data scientists and AI developers are keeping up with trends and learning the new technology that can help them work more efficiently.

Data Science 139

Data Science Enterprise Insurance Digital Transformation 139

CIO Business Intelligence

DECEMBER 11, 2024

More than 20 years ago, data within organizations was like scattered rocks on early Earth. It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. Establishing this pillar requires data science, ML and AI skills.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Gen AI is quite different because the models are pre-trained,” Beswick explains.

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

OCTOBER 23, 2024

The pandemic, for one, pushed organizations to accelerate digital transformation to support a remote workforce, and to adapt to global lockdowns, organizations invested in their technology stacks and teams to do so. “IT What is driving tech layoffs? Several driving factors are behind the mass tech layoffs in recent years.

Marketing 130

Marketing IT Digital Transformation Consulting 130

Rocket-Powered Data Science

MARCH 19, 2021

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker.

IoT 102

IoT Machine Learning Metadata Data-driven 102

Domino Data Lab

OCTOBER 6, 2022

Data science teams building AI-driven applications and experiences require flexible access to the latest tools and any data across hybrid, multi-cloud and on-premises environments.

Data Science 95

Data Science Enterprise Digital Transformation Machine Learning 95

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Gen AI is quite different because the models are pre-trained,” Beswick explains.

IT 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Our digital transformation has allowed us to be more streamlined, more agile, and more efficient. Etihad is on a digital transformation journey. Talal Mufti.

Data Science 98

Data Science Data Lake Cost-Benefit Digital Transformation 98

Rocket-Powered Data Science

SEPTEMBER 25, 2022

I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk. The digital twin is more than a data collector.

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

Cloudera

FEBRUARY 11, 2019

Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. In the next sections, we’ll reveal what else is needed as well as how to right-size governance of more than just data helps organizations achieve their objectives. Governing digital transformation.

Digital Transformation 57

Digital Transformation Data Governance Data Science Data Warehouse 57

DataKitchen

DECEMBER 30, 2020

DataKitchen provides an end-to-end DataOps platform that automates and coordinates people, tools, and environments in the entire data analytics organization—from orchestration, testing, and monitoring to development and deployment. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

Testing 241

Testing Big Data Statistics Manufacturing 241

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

CIO Business Intelligence

SEPTEMBER 17, 2024

Moreover, undertaking digital transformation and technology modernization programs without an architect can lead to delays, technical debt , higher costs, and security vulnerabilities. One area enterprise architects can focus on is developing self-service cloud infrastructure for devops and data science teams.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

DataCamp

APRIL 9, 2021

Here’s how data science coupled with domain knowledge can keep their skills relevant. The average petroleum engineer’s skill set is quickly becoming outdated.

Digital Transformation 94

Digital Transformation Data Science 94

CIO Business Intelligence

JULY 17, 2024

Pioneering digital leaders help organizations make the most out of emerging technologies, but to be successful, they must keep up with the fast pace of change and deliver the right solutions at the right time, and at the right cost. These capabilities make digital leaders well placed to lead large-scale change projects.

Digital Transformation 132

Digital Transformation Technology Cost-Benefit Insurance 132

bridgei2i

NOVEMBER 25, 2020

Among the various changes that are taking place in the market, digital transformation is the biggest and fastest one. Enterprises in various industries are in a hurry to digitally transform their business and gain an advantage over the competitors. Business Domain Transformation. Cultural Transformation.

Digital Transformation 52

Digital Transformation IoT Enterprise Marketing 52

CIO Business Intelligence

JANUARY 23, 2024

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). As a result, outcome-based metrics should be your guide.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

CIO Business Intelligence

APRIL 2, 2024

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation.

Management 140

Management Digital Transformation Testing Experimentation 140

CIO Business Intelligence

JANUARY 17, 2024

Digital transformation is not a new concept for Ipsos,” says global CIO Humair Mohammed. Its digital transformation process can be divided into several stages, according to Mohammed, each with its own objectives and challenges. “To js and React.js.

Digital Transformation 119

Digital Transformation Dashboards Data Science Reporting 119

Rocket-Powered Data Science

FEBRUARY 12, 2021

Consequently, as organizations everywhere are undergoing significant digital transformation, we have been witnessing increases both in the use of RPA in organizations and in the number of RPA products in the market. IA refers to the addition of “intelligence” to the RPA – transforming it into “smart RPA” or even “cognitive RPA”.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

Cloudera

JUNE 8, 2021

A sturdy data infrastructure coupled with a proficient workforce are pillars for an organization’s digital transformation efforts. . McKinsey lists building capabilities for the workforce of the future as one of five categories of factors improving the chances of a successful digital transformation.

Digital Transformation 58

Digital Transformation Cost-Benefit Data Strategy Finance 58

CIO Business Intelligence

JANUARY 6, 2025

One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.

IT 140

IT Cost-Benefit Measurement Experimentation 140

Dataiku

MARCH 3, 2022

There is a global push for digital transformation and taking an “innovation first” approach, but, up to 80% of these initiatives will fail. Organizations approach data science and analytics platforms with the expectation of large projects that provide large returns on investment.

Technology 111

Technology Digital Transformation Data Science Analytics 111

Rocket-Powered Data Science

MARCH 10, 2020

. “Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.

Data Collection 248

Data Collection Digital Transformation Big Data Forecasting 248

Ontotext

AUGUST 17, 2023

Digital Transformation, which has been a top priority for CEOs and boards of directors for many years, has had mixed results. As graph data platforms become more widely understood, they play a key enabling role in delivering on many of the failed promises of Digital Transformation. Let’s be frank.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Data-driven 52

Alation

FEBRUARY 13, 2020

We have a BI/BA organization that we wanted to keep focused on the very deep dive, heavy analytics and data science, but we needed to give our business partners the tools so they could do their own reporting, see the successes of their products and see the steps they needed to take. We now have our end users doing that themselves.

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52