Domino Data Lab

OCTOBER 16, 2019

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. For additional vital signs and insight beyond what is provided in this article, attend the webinar. Machine learning models: running wild.

Metrics 49

Metrics Modeling Machine Learning Measurement 49

IBM Big Data Hub

JUNE 23, 2023

Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. What is generative AI, what are foundation models, and why do they matter?

Finance 62

Finance Consulting Data-driven Risk 62

erwin

DECEMBER 3, 2020

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 New products and services.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Yes, it offers essentially infinitely scalable resources.

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS. Data Modeling.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Jet Global

JUNE 22, 2023

Blogs Podcasts Whitepapers and Guides Tools and Calculators Webinars Sample Reports The Evolution of the CFO into the Chief Data Storyteller View Insight Now Our Favorite CFO Blogs The Venture CFO Blog Link: [link] Are you looking for blog posts for CFOs by CFOs? Then you have come to the right place. CFO 2.0 – The real-time analyst.

KPI 105

KPI Finance Dashboards Digital Transformation 105

IBM Big Data Hub

SEPTEMBER 6, 2023

While organizations gather data and undergo detailed reviews to craft a budget, the market doesn’t stand still. Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration.

Forecasting 90

Forecasting Marketing Risk Sales 90

Cloudera

FEBRUARY 18, 2021

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources.

Insurance 106

Insurance Digital Transformation Risk Data-driven 106

DataRobot Blog

AUGUST 10, 2022

Change is happening fast across the NHS with the focus squarely on harnessing the huge amount of data the NHS generates — to drive forward the transformation programmes needed to address the backlog for elective care and growing demands for services. Resetting urgent care performance and delivery.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Decision Management Solutions

AUGUST 19, 2021

Millions of dollars are being wasted on inefficient deployments of artificial intelligence, machine learning, and data decisioning technologies. This captain-less, crew-less, entirely AI-driven vessel is the first of its kind. These will be fascinating and stimulating webinars that you’ll be glad you joined. Place: Zoom.

Technology 52

Technology Machine Learning Data Processing Data-driven 52

IBM Big Data Hub

OCTOBER 5, 2022

Build planning models to improve supply chain management. You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. The challenge faced by every company is matching supply with demand.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Smart Data Collective

JUNE 14, 2022

Big data technology is disrupting almost every industry in the modern economy. Global businesses are projected to spend over $103 billion on big data by 2027. While many industries benefit from the growing use of big data, online businesses are among those most affected. However, it doesn’t come without its difficulties.

Big Data 106

Big Data Data mining Metrics Sales 106

IBM Big Data Hub

JUNE 23, 2023

As the name suggests, it generates images, music, speech, code, video or text, while it interprets and manipulates preexisting data. For F&A leaders, this means that it may have the ability to transform financial data, such as business performance reports, commentary and narratives.

Finance 66

Finance Reporting Cost-Benefit Modeling 66

CIO Business Intelligence

MAY 11, 2022

At the CISO level, we’re seeing an unprecedented focus on gathering information about attackers to better understand what’s at risk and how to mitigate threats. This includes relevant global threat data, including actor, technique, and indicator intelligence. Want to learn more about achieving intelligence-driven security operations?

Marketing 88

Marketing Data-driven Enterprise Risk 88

Jedox

OCTOBER 8, 2020

Though only twelve years ago, it truly highlighted the difference between possibility and probability and the danger and impact of tail risk. Given the incredible advances that cloud-based technologies have provided us with, we have never been in a stronger position to leverage the enormous amounts of data we currently have access to.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

Data Governance 52

Data Governance Data-driven Enterprise Risk 52

Sisense

JUNE 24, 2021

The proliferation of information, data, technology, and digital platforms means that the ability to leverage learning and education solutions has evolved dramatically in recent years. A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources.

Analytics 83

Analytics Measurement Dashboards Optimization 83

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. The simplest answer is that these terms refer to some of the many analytic methods available to Data Scientists. What are overlaps and differences?

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

Andrew White

OCTOBER 21, 2019

What I found most interesting during the key note was the prominent position data and analytics took. The lack of trust in data; data being siloed and hard to find or get at. Gut feel and emotion over practical data-driven insights. See “ ‘ Feel the Force’: Gut Instinct, Not Data, Is the Thing ”.

Technology 56

Technology IT Data-driven Consulting 56

CIO Business Intelligence

JUNE 22, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. .

IoT 95

IoT IT Manufacturing Internet of Things 95

Cloudera

APRIL 27, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. .

IoT 99

IoT IT Manufacturing Internet of Things 99

Sisense

MARCH 2, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Introducing the Sisense Data Model APIs. The new Sisense Data Model APIs extend the capabilities provided by the Sisense REST APIs.

Modeling 87

Modeling Data-driven Dashboards Testing 87

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful.

Analytics 64

Analytics Measurement Modeling Data-driven 64

erwin

JULY 1, 2022

On the heels of its erwin® Data Modeler 12.1 Register to attend our What’s New webinar , hosted by product manager Vani Mishra. That’s why, in erwin Data Modeler 12.1, a subscription model for our customers’ convenience. From the customer’s perspective, once erwin Data Modeler 12.1

Modeling 52

Modeling Cost-Benefit Data Processing Software 52

Cloudera

NOVEMBER 18, 2020

Given the increase of financial fraud this year and the upcoming holiday shopping season, which historically also leads to an increase, I am taking this opportunity to highlight 3 specific data and analytics strategies that can help in the fight against fraud across the Financial Services industry. . 1- Break down the Silos.

Data Strategy 104

Data Strategy Strategy Machine Learning Risk 104

DataRobot

NOVEMBER 15, 2021

These solutions are designed to integrate intelligent insights into data platforms, applications, and systems integrator services that provide customers with the critical capabilities they need to accelerate growth, operate at scale and meet the specific challenges facing their industry.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Sources, like IoT.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Domino Data Lab

JUNE 10, 2020

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. I’m also proud to announce an exciting new product: Domino Model Monitor (DMM). We invite you to join one of our upcoming webinars on Domino 4.2

Data Science 82

Data Science Enterprise Experimentation Modeling 82

erwin

APRIL 4, 2019

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

Jet Global

NOVEMBER 23, 2020

In this model, your monthly income is split into the following categories: 50 percent for needs, 30 percent for wants, 20 percent for debts and savings. As a CFO, it is your job to address the financial risk of your business. Leveraging data, AI, and predictive analysis to look ahead and chart your course for the company.

KPI 52

KPI Finance Dashboards Data Processing 52

Occam's Razor

SEPTEMBER 29, 2009

If supported by "data" then it tends to be of the most fragile kind (usually the the fact that the CEO saw it during the Super Bowl and felt happy suffices as actionable data). The data in the above report shows how frequently during a time period do the website's visitors visit the website. Perhaps you?

Measurement 128

Measurement Metrics Analytics Marketing 128

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources. Multiplatform.

Data Warehouse 59

Data Warehouse Cost-Benefit Statistics Data-driven 59

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

Data Governance 98

Data Governance Data Quality Enterprise Risk 98

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Ooo good question.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52