CIO Business Intelligence

MARCH 6, 2024

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. The investment thesis was we could dramatically change the value of the company by becoming a true cloud and subscription-driven company. Today, we’re a $1.6

Modeling 115

Modeling Management IT Metrics 115

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

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. In 2017, additional regulation targeted much smaller financial institutions in the U.S. The FDIC’s action was announced through a Financial Institution Letter, FIL-22-2017.

Risk 111

Risk Modeling IT Risk Management 111

Sisense

JANUARY 14, 2021

Especially when dealing with business data, trust in the figures is an essential element of every transaction. A reputation for stability and accuracy is critical in the fintech industry, dealing as it does with sensitive, high-impact data and security challenges. For analytics teams, trust is hard to gain and easy to lose.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

CIO Business Intelligence

JANUARY 23, 2023

That app, Microsoft Designer , is currently in closed beta test. the OpenAI model on which ChatGPT is based, is an example of a transformer, a deep learning technique developed by Google in 2017 to tackle problems in natural language processing. They cannot ignore it: They have to pilot it,” she said.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

CIO Business Intelligence

MAY 18, 2023

The Unicorn Project: A Novel About Developers, Digital Disruption, and Thriving in the Age of Data (IT Revolution Press, 2019) tells the story of Maxine, a senior lead developer, as she tries to survive in a heartless bureaucracy overrun with paperwork and committees. Martin’s Press, 2017) by Jocko Willink and Leif Babin.

IT 126

IT Software Recreation/Entertainment Technology 126

CIO Business Intelligence

JUNE 21, 2022

And in a customer experience-driven economy, passing customers off to an ‘escalated’ or more ‘knowledgeable agent’ can inadvertently set off a negative experience. Agents need these tools to quickly and easily address increasingly complex customer cases and challenges,” said Liz Miller, principal analyst at Constellation Research.

Management 109

Management Machine Learning Interactive Marketing 109

Smart Data Collective

SEPTEMBER 30, 2022

The landscape of blockchain-driven solutions: from 2018 to 2022. In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. This way, all data becomes auditable to every chain participant on an event-level basis.

Advertising 138

Advertising Marketing Technology Uncertainty 138

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” The inherent capabilities of AI–to process vast amounts of data and use learned intelligence to make decisions with extraordinary speed–enable opportunities uncovered through digital listening. McKinsey & Company’s 2022 Global Survey on AI says , “AI adoption globally is 2.5x

Advertising 100

Advertising Recreation/Entertainment Experimentation Enterprise 100

Cloudera

SEPTEMBER 10, 2021

Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. It’s a problem that leaders are working actively to tackle, but they’re in a race against immeasurable volumes of data that is continuously being generated in perpetuity in stores known and unknown.

Machine Learning 66

Machine Learning Statistics Data-driven Big Data 66

Jen Stirrup

OCTOBER 21, 2019

I am mentoring and leading them, while delivering the project, setting a vision, generating and implementing data strategies, and slowly helping to mould the culture to be more data-driven as well as insight-driven. BBC (2017) BBC’s 9 % gender pay gap revealed . EHRC (2017) Being Disabled in Britain. .

Data-driven 49

Data-driven Marketing Testing Management 49

CIO Business Intelligence

FEBRUARY 28, 2023

A good deal of the traffic has been driven by a QR code deployed across social media channels and other communications outlets to promote awareness of the digital museum’s existence. The startup focused on federal contracts and earned its first contract with the Secret Service in 2017. Today, it employs more than 200.

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

IBM Big Data Hub

JULY 19, 2023

This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. Content creation : Personas, user stories, synthetic data, generating images, personalized UI, marketing copy, email and social responses and more.

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

Alation

FEBRUARY 20, 2020

The energy at the conference was amazing – over 2,000 attendees and 100 vendors gathered to find our inner data heroes. And the Great BI Bake-Off is a perfect example: Four vendors (selected by their Gartner search popularity) took the stage in a live showdown of data viz expertise. Rita Sallam Introduces the Data Prep Rodeo.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)). Strata Data London.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Alation

FEBRUARY 20, 2020

Born into a world where information often seems more overwhelming than helpful, Aaron was inspired, along with Venky Ganti, Feng Niu and myself, to build a collaborative software platform that helps people find, understand and take advantage of data to make better decisions. Today, we call this data literacy.

Machine Learning 52

Machine Learning Interactive Data-driven Software 52

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. We need people who can test. More efficient, more scalable systems are going to be able to handle more data. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

MAY 27, 2024

To bridge the gap between CISOs and stakeholders, CISOs must adopt a strategic approach that combines financial impact data, relevant case studies, and compelling narratives. Case Study: Capital One Data Breach In 2019, Capital One experienced a data breach that exposed the personal information of over 100 million customers.

Cost-Benefit 69

Cost-Benefit Statistics ROI Measurement 69

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. Data limitations in Microsoft Excel. 25 and Oct.

Analytics 145

Analytics Machine Learning Insurance Testing 145

O'Reilly on Data

MARCH 23, 2023

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means.

IT 262

IT Modeling Testing Risk 262

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

MAY 6, 2022

The data resides in United’s reservation system on several databases, including Amazon S3 and Dynamo. Agent on Demand began as a test scenario with fewer than 10 customer service agents from a single airport and has grown into a team of more than 2,000 specifically trained representatives operating at more than 40 stations nationally.

Uncertainty 98

Uncertainty Testing Digital Transformation Metadata 98

Depict Data Studio

SEPTEMBER 13, 2023

They make data-driven decisions. Josephine writes, “My colleagues have given very positive feedback, as the dashboards have made it easier to analyze their program data more comprehensively. Maybe at next year’s trivia I’ll have to test some of the dashboard designs for comparing change over time.”

Dashboards 52

Dashboards Visualization Snapshot Data-driven 52

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

datapine

MAY 11, 2022

Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential. Data visualization methods refer to the creation of graphical representations of information. That’s where data visualization comes in.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 93

Risk Marketing Risk Management Data-driven 93

Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. 1998) and others).

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. When you analyze the data in Google Analytics (or Adobe or WebTrends or Webtrekk), this data will be in your Campaigns folder waiting for you to some pretty magnificent analysis. Tag your mobile website. Everything.

Metrics 141

Metrics Reporting Analytics Marketing 141

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 261

Machine Learning Software Metadata Testing 261

CIO Business Intelligence

APRIL 12, 2022

trillion in 2021, according to financial market data provider Refinitiv. Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter. NTT Data adds Vectorform to service portfolio. Equinix buys West African data center company for $320 million. trillion in 2020 to $5.16

Technology 143

Technology Enterprise Consulting Software 143

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." Test for analytics experience AND explore the level of analytical thinking the job candidate possesses.

Marketing 136

Marketing Analytics Machine Learning Strategy 136