Rocket-Powered Data Science

MARCH 19, 2021

Insights discovery from ubiquitous data collection (via the tens of billions of connected devices that will be measuring, monitoring, and tracking nearly everything internally in our business environment and contextually in the broader market and global community) is ultimately about value creation and business outcomes.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

JULY 17, 2023

The Infrastructure-as-a-Service (IaaS) cloud computing model enables remote working, supports digital transformation, provides scale, increases resilience, and can reduce costs. Unless the model is understood and followed, it could lead to data, applications, and cloud workloads being exposed to security vulnerabilities.

Management 90

Management Data Processing Risk Digital Transformation 90

Occam's Razor

SEPTEMBER 29, 2009

One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." It is criminal not to measure your direct response campaigns online. I also believe that a massively under appreciated opportunity exists to truly measure impact of branding campaigns online.

Measurement 128

Measurement Metrics Analytics Marketing 128

IBM Big Data Hub

MAY 28, 2024

Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities. Yet, as data becomes more valuable, it’s also becoming harder to protect.

Strategy 82

Strategy Measurement Risk Cost-Benefit 82

DataRobot

NOVEMBER 29, 2021

We’ll focus on evaluating a model for biased behavior, which can occur during the training process or after it has been deployed in a production environment. . A model is biased when it predicts different outcomes for features in the training dataset. As with model accuracy, there are many metrics one can use to measure bias.

Technology 52

Technology Metrics Predictive Modeling Modeling 52

IBM Big Data Hub

JANUARY 25, 2024

Workers’ increasing usage of smart devices and apps such as ChatGPT or other black box public models, without proper approval, has become a persistent issue and doesn’t include the correct change management to inform workers about the associated risks. I’ll allow my father this one broken grammar rule.

Strategy 94

Strategy Risk Cost-Benefit Business Objectives 94

Andrew White

OCTOBER 23, 2020

Improve Decision Making Using Decision Intelligence Models. Overall Data and Analytics Strategy: Recorded Webinar: Emerging Practices for a Data-driven Strategy. Toolkit: Creating a Modern Data and Analytics Strategy and Operating Model. The Gartner Digital Business Value Model: A Framework for Measuring Business Performance.

IT 52

IT Digital Transformation Recreation/Entertainment Data Quality 52

Andrew White

OCTOBER 22, 2020

Improve Decision Making Using Decision Intelligence Models. Overall Data and Analytics Strategy: Recorded Webinar: Emerging Practices for a Data-driven Strategy. Toolkit: Creating a Modern Data and Analytics Strategy and Operating Model. The Gartner Digital Business Value Model: A Framework for Measuring Business Performance.

IT 52

IT Recreation/Entertainment Data Quality Data-driven 52

IBM Big Data Hub

OCTOBER 18, 2022

Fewer than 1 in 4 agree that sustainability requires financial tradeoffs, but many acknowledge the need to redefine and re-calibrate how they measure performance. Findings and lessons from these transformational leaders will be discussed in an upcoming AI for Good webinar at 10:00 AM ET on October 25, 2022.

Uncertainty 52

Uncertainty Strategy Measurement ROI 52

Sisense

JULY 15, 2020

LiveHire and Sisense recently held a webinar on using data to adapt your workforce, and it became abundantly clear data, diversity, and technology will be vital for the workforce of the future. Next, understand how you will measure success. However, now is not the time to lose sight of hiring data and related numbers.

Data-driven 84

Data-driven Metrics Business Driver Visualization 84

Decision Management Solutions

MARCH 31, 2022

These customers want more from their B2B sellers — “ more channels, more convenience, and a more personalized experience “ It’s not that they don’t still want traditional interactions or that they just want remote human interactions – they want these and digital self-service in equal measure. But it also takes digital decisioning.

B2B 72

B2B Sales Interactive Marketing 72

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Smart Data Collective

MAY 28, 2022

Fortunately, companies can use big data to optimize their business models. It might seem fairly similar to lead magnets, as both of these measures give valid reasons to people for sharing their contact information. For it, you can give away webinars, eBooks, whitepapers, and more. The average company receives $10.66

Data Analytics 107

Data Analytics Analytics Data mining ROI 107

Smart Data Collective

JUNE 14, 2022

The best way to do this is by generating a buyer persona or a model of your typical customer or client which helps you establish a clear way of promoting your services to the right people. Create Webinars. There is no point in creating a fantastic website if you fail to measure its success. Check Your Metrics.

Big Data 105

Big Data Data mining Metrics Sales 105

DataRobot Blog

JUNE 23, 2022

Human intuition is relied on, or an older, hand-build BI/predictive model exists, or perhaps a set of heuristics were documented that more or less predict something. Far fewer AI models succeed in creating business value when there is no existing prediction to replace. Too often the new model fails the “so what” test.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

IBM Big Data Hub

JULY 26, 2023

The emergence of generative AI and foundation models has revolutionized the way every business, across industries, operates at this current inflection point. Additionally, there is a lot of pressure to integrate AI into more and more use cases, improve productivity levels and create new business models.

Digital Transformation 65

Digital Transformation Cost-Benefit Data-driven Strategy 65

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% But remember to set achievable and measurable goals along the way. If your infrastructure doesn’t measure up, consider upgrading or replacing it. between 2022 and 2029. Keen to learn more?

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

CIO Business Intelligence

NOVEMBER 6, 2023

Next, model those behaviors and build them into the fabric of the work. Measure engagement “Measuring engagement is vitally important,” says Datasite’s LaMere. About 500 people a month show up to this webinar,” she says. First define your values clearly. This all needs to be very specific.” It’s amazing.”

Measurement 123

Measurement Cost-Benefit Management Metrics 123

Sisense

JUNE 24, 2021

Learning Pool’s white paper Measuring the Modern Learner Experience explains how an LRS specifically stores xAPI statements, which at their most basic level combine an actor, a verb, and an object. Analytics models, supercharged with AI, are being leveraged to recommend content to users based on who they are and where they work.

Analytics 83

Analytics Measurement Dashboards Optimization 83

Data Science and Beyond

APRIL 5, 2021

Also, my June webinar with Felipe Flores on running remote teams is probably dated now that many more people have hands-on experience with remote work. The world has adapted quickly, though it seems like Automattic’s globally-distributed model is still quite unusual. Only time will tell. Sustainability.

Experimentation 61

Experimentation Testing Publishing Measurement 61

IBM Big Data Hub

JUNE 23, 2023

Though AI adoption may seem daunting, the flexibility and scalability of emerging foundational models will most certainly accelerate AI adoption as enterprises are empowered to put AI to work at the strategic core of F&A processes. What is generative AI, what are foundation models, and why do they matter? Pilot the technology.

Finance 59

Finance Reporting Cost-Benefit Modeling 59

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% But remember to set achievable and measurable goals along the way. If your infrastructure doesn’t measure up, consider upgrading or replacing it. between 2022 and 2029. Keen to learn more?

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Web Data Quality: A 6 Step Process To Evolve Your Mental Model. How Do I Measure Success? What's The Fix?

KPI 124

KPI Metrics Measurement ROI 124

Jen Stirrup

JUNE 16, 2020

How can you tell if your models are good? The talk starts with a review of the exam skills and what is measured, and then will step through each of the objectives and quickly review the key points of the exam as well as sample questions to help test your knowledge in each area.

Statistics 65

Statistics Visualization Machine Learning Business Intelligence 65

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). But are those tools powered by artificial intelligence?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. Apache Spark is what’s known as resilient which means that models can be created and recreated on the fly from a known state.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

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. It’s “in” again.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We also talked about the increased interest in green AI, in which we not only measure the quality of a model based on accuracy but also how big and complex it is.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

Cloudera

APRIL 27, 2022

Predictive maintenance applications enable large-scale manufacturers to collect telemetry data and integrate all IoT functions, and these are powered by models driven by real-time data. . There are many more use cases that we will share in our upcoming webinar that examines these in the context of trends and future challenges. .

IoT 99

IoT IT Manufacturing Internet of Things 99

CIO Business Intelligence

JUNE 22, 2022

Predictive maintenance applications enable large-scale manufacturers to collect telemetry data and integrate all IoT functions, and these are powered by models driven by real-time data. . There are many more use cases that we will share in our upcoming webinar that examines these in the context of trends and future challenges. .

IoT 82

IoT IT Manufacturing Internet of Things 82

IBM Big Data Hub

NOVEMBER 6, 2023

AI and API security Among existing API security measures, AI has emerged as a new — and potentially powerful — tool for fortifying APIs. AI technologies can also enable automated threat modeling. Using historical API data, AI can build threat models to predict vulnerabilities and threats before bad actors can exploit them.

Optimization 114

Optimization Testing Software Risk 114

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Jedox

NOVEMBER 23, 2021

The last blog post from our guest authors at smartPM.solutions was about S&OP maturity and the classification of your current S&OP situation according to the 5-stage Gartner S&OP Maturity Model. Product portfolio optimization is automated with optimization models, AI-supported forecasts, and portfolio scenarios.

Optimization 74

Optimization Forecasting Sales Measurement 74

erwin

FEBRUARY 4, 2021

If this approach hasn’t been the case to date, enterprises should take a few steps back to review data quality measures before jumping into automating data analytics. Register now for the first of a new, six-part webinar series on the practice of data governance and how to proactively deal with the complexities. “

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

DataKitchen

OCTOBER 11, 2021

Finally, when your implementation is complete, you can track and measure your process. Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. To learn more about DataOps Engineering, watch our webinar on this topic, A Day In the Life of A DataOps Engineer.

Testing 152

Testing Metadata Dashboards Statistics 152

DataKitchen

NOVEMBER 20, 2021

You can track, measure and create graphs and reporting in an automated way. Let’s say a data scientist has developed a model that works perfectly with training data. To learn more about the role of a DataOps Engineer, watch the on-demand webinar, A Day in the Life of a DataOps Engineer. There are always going to be surprises.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246