Smart Data Collective

SEPTEMBER 30, 2022

Now that we’ve marched into 2022 it’s time to recollect those talks, inspect the current market and finally understand if blockchain really brings some changes into ad tech and martech scene. The landscape of blockchain-driven solutions: from 2018 to 2022. What about challenges?

Advertising 137

Advertising Marketing Technology Uncertainty 137

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

Cloudera

MARCH 30, 2022

Sometimes it takes a billion-dollar mistake to bring the murkier side of data ethics into sharp focus. Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. The ongoing challenges of the data-driven business model.

Data-driven 122

Data-driven Marketing Measurement Modeling 122

CIO Business Intelligence

JANUARY 23, 2023

23, 2023, is likely to shake up the market for AI-based enterprise services, said Rajesh Kandaswamy, distinguished analyst and fellow at Gartner: “It provides additional impetus for Google to relook at its roadmap. The deal, announced by OpenAI and Microsoft on Jan. It’s the same for other competitors like AWS,” he said.

Enterprise 130

Enterprise Deep Learning Recreation/Entertainment Interactive 130

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 91

Advertising Recreation/Entertainment Experimentation Enterprise 91

Smart Data Collective

FEBRUARY 23, 2021

We have talked extensively about the multitude of benefits that big data provides to companies in every sector. While most of our discussions focus around the financial benefits of data technology to these organizations, there are some more holistic advantages as well. How can digital platforms raise awareness about health and safety?

Big Data 96

Big Data Advertising Data-driven Technology 96

Smart Data Collective

JULY 17, 2019

Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. In 2017, the number of seniors over the age of 65 reached a record 1 billion people. The benefits of this are threefold: Artificial intelligence-driven robots reduce the need for human workers.

Cost-Benefit 83

Cost-Benefit Machine Learning Advertising IoT 83

Alation

JUNE 23, 2022

Alation has been named the #1 data catalog in Dresner’s 2022 Wisdom of Crowds report for the sixth consecutive year! To arrive at a ranking, report authors interviewed and surveyed real data catalog users. In this way, report authors have furnished a useful buyer’s guide for prospective data catalog users. Key findings.

Reporting 52

Reporting Data Governance Data-driven Digital Transformation 52

BizAcuity

MARCH 25, 2019

This is resulting in the largest event management companies across this sector spending more than $43 billion on revenue analytics – which is a multi-dimensional and evolving field harnessing statistics, Artificial Intelligence and other tools to identify meaningful patterns in large data sets. billion in 2015 to $21.92

Analytics 74

Analytics Dashboards Sales Marketing 74

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails.

Consulting 59

Consulting Machine Learning Manufacturing Optimization 59

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

Jet Global

OCTOBER 8, 2020

There are many solutions on the market that profess to lighten a finance team’s workload under the current circumstances. It also decreases the risk of errors by eliminating disjointed, manual processes. Analysing the necessary data is a massive undertaking, and one that can draw finance professionals away from other tasks.

Finance 98

Finance Reporting Forecasting Metrics 98

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Modern data warehousing. Grow your business.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

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. Speed matters in financial markets. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR.

Risk 101

Risk Marketing Risk Management Data-driven 101

Data Insight

APRIL 15, 2019

By Carmen Vicelich, Data Insight CEO Background: The ‘WannaCry’ Cyber Attack of 2017 This week’s global cyberattack on hundreds of thousands of businesses is yet another reminder of the importance of business data security. But with data comes risk.

Risk 40

Risk Insurance Data-driven Big Data 40

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Probably not, but only time will tell.

Data-driven 336

Data-driven Software Statistics Marketing 336

Data Insight

APRIL 15, 2019

“ It’s no coincidence that Google, Amazon and some of the most valuable companies in the world today were built not on product but on data from the outset.” We are now living in a world that is increasingly driven by data thanks to the emergence of digital and cloud-based technologies and the proliferation of social mobility.

Data-driven 40

Data-driven Metrics Measurement Strategy 40

bridgei2i

FEBRUARY 8, 2019

A 2017 white paper produced by Harvard Business Review in collaboration with Apttus states that “B2B revenue generation processes offer huge opportunities to benefit from the (AI) technologies.” Fortunately, AI is here to help, with algorithms that predict opportunities with a high chance of closing and those that are at high risk.

Sales 40

Sales B2B Cost-Benefit Structured Data 40

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. The refrain has been repeated ever since.

Analytics 145

Analytics Machine Learning Insurance Testing 145

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. Unlike labels, embeddings are learned from the training data, not produced by humans.

IT 261

IT Modeling Testing Risk 261

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

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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

Jet Global

JULY 29, 2020

For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Note that extended support for Oracle Discoverer ended in 2017. There is a significant risk with unsupported products. Real-Time Reporting Solutions for Oracle EBS.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

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

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

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

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. M&A volume climbed from $3.26

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

Jet Global

SEPTEMBER 26, 2023

But as market predictions become more consistent, giving CFOs some time to catch their breath, new priorities start to emerge. Earlier this year, insightsoftware sat down with a panel of four prominent CFOs to explore their successes amidst recent market turbulence. He specializes in process reengineering and risk reduction.

Marketing 52

Marketing Finance Reporting Operational Reporting 52