Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

Smart Data Collective

JUNE 10, 2019

However, big data could actually be a wonderful solution for many sustainability problems. People that know me are aware that I have a blog on sustainability, as well as Smart Data Collective. Big Data Helps Meet UN Climate Targets. This can help mitigate the threat of climate change in the future.

Technology 105

Technology Data Analytics IoT Big Data 105

Domino Data Lab

MAY 15, 2019

I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete Skomoroch, San Francisco, November 2018. Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

CIO Business Intelligence

MARCH 14, 2023

SAP’s acquisition of a majority stake at customer experience (CX) software firm Qualtrics back in 2018 for $8 billion was never a match made in heaven. Both companies remained incongruous to each other’s progress before Qualtrics was sold to Silver Lake and CPP Investments earlier this week , according to experts and analysts.

Sales 52

Sales Strategy Machine Learning Marketing 52

IBM Big Data Hub

SEPTEMBER 27, 2022

When IBM launched its AI Ethics Board in 2018, AI ethics was not a hot topic in the press, nor was it top-of-mind among business leaders. In a 2021 study by the IBM Institute of Business Value , nearly 75% of executives ranked AI ethics as important, a jump from less than 50% in 2018.

Consulting 52

Consulting Machine Learning Modeling Strategy 52

TDAN

MARCH 3, 2020

In 2018, it was discovered that Cambridge Analytica had harvested the data of at least 87 million Facebook users without their knowledge after obtaining it via a few thousand accounts that had used a quiz app. There is no getting away from how incredibly valuable our data is. In 2018, the Global Data Mining Tools […].

Data mining 52

Data mining IT Data Strategy Data Governance 52

Depict Data Studio

OCTOBER 31, 2022

When Did You Collect Data? Before : Initial surveys were launched on March 7, 2018 with fieldwork continuing to accommodate the schedules of participating institutions. Data collection was cut off on April 25 to begin data processing. After : We collected surveys in Spring 2018.

Reporting 52

Reporting Data Collection Testing Data Processing 52

CIO Business Intelligence

JULY 5, 2022

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

SEPTEMBER 11, 2020

The number of IoT devices is projected to skyrocket from 10 billion to 64 billion between 2018 and 2025. The collected information helps organizations analyze and predict consumer behavior. Edge computing is a consumer-focused technology that is used to optimize data collection and processing.

Technology 97

Technology IoT Internet of Things Cost-Benefit 97

IBM Big Data Hub

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Irish regulators hit Meta with a EUR 1.2

Measurement 83

Measurement Risk Data Collection Data Processing 83

Smart Data Collective

DECEMBER 8, 2020

The driving force behind this trend is mostly down to the rising concern people have over their online privacy and the unregulated data collection that has been going on silently in the background for many years.

Big Data 112

Big Data Data-driven Software Statistics 112

Cloudera

JANUARY 24, 2022

And in 2018, opioids were involved in two-thirds of the deaths attributed to drug overdose. Working with Cloudera, Keck created a data lake that eliminated manual data collection errors and gave visibility organization-wide. Keck Medicine of USC: Tackling opioid addiction. According to the U.S.

Data Lake 64

Data Lake Risk Machine Learning Data Collection 64

CIO Business Intelligence

MARCH 3, 2023

A 2018 report by consulting firm Deloitte notes that fans at home often have access to better camera angles, as well as AR/VR, multiplatform, and other multimedia options. An oft-cited reason for this decline is increasing competition from home-viewing options.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

TIBCO

MARCH 6, 2018

If a driver notices an issue with the car during a race, engineers can use the data collected from the car to pinpoint exactly why and where an issue happened. The utilization of this data can be the difference between placing first or second on the podium. Teams also use data to assess performance in light of new regulations.

Data-driven 75

Data-driven Data Collection Strategy Analytics 75

Cloudera

SEPTEMBER 29, 2021

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. .

Digital Transformation 78

Digital Transformation Data Governance Data-driven Uncertainty 78

Cloudera

AUGUST 25, 2021

Thanks to the Bermuda Principles agreement of 1996, a mechanism was in place for sharing human genome data within 24 hours of generation. As different researchers made discoveries about the virus and its effect on humans, they shared their data. Sharing for the Public Good.

Data-driven 86

Data-driven Machine Learning Data Collection Risk 86

Andrew White

AUGUST 4, 2020

Any subsequent use of data, collected and/or shared for a public good/public interest function (e.g. This use of data, collected by the EU market, was implied as ‘function creep’ and might undermine the trust citizens have, it said. Here is a pretty big one that caught my eye: “25. should be avoided.”.

Data Strategy 52

Data Strategy Strategy Marketing Data Collection 52

CIO Business Intelligence

MAY 17, 2022

Another option is to gather better training data to improve the algorithms so that the recommendations are more precise. The hospital did this by investing more in data collection, Taglieti says. If the data science is telling you that you’re missing comorbidities, does it always have to be a doctor seeing the patients?

Risk 145

Risk Consulting Machine Learning Data Science 145

Smart Data Collective

NOVEMBER 6, 2019

billion in 2018 and is expected to be worth $66.3 With this kind of growth, data collection and use are essential to the Cannabis industry in many ways. The access to a vast amount of data, allows growers to optimize for environmental changes and variables and can even change the strain of the product,” she writes.

Big Data 48

Big Data Marketing Advertising Testing 48

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Insight

MARCH 27, 2019

Ways to get better data Efforts to improve the quality of data often have a higher return on investment than efforts to enhance models. There are three main ways to improve data: collecting more data, synthesizing new data, or augmenting existing data. 2018 , blog ).

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

Cloudera

FEBRUARY 14, 2018

We share the same obstacles our customers face – most of which are around data collection, data quality (or lack thereof), data governance as well as misalignment or miscommunication about who is responsible and accountable for managing and analyzing different datasets and analytical outcomes.

Data-driven 43

Data-driven Data Quality Risk Interactive 43

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. In the near future, AI algorithms will be able to be seamlessly applied to your existing data stores, unlocking further insight for your enterprise.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. In the near future, AI algorithms will be able to be seamlessly applied to your existing data stores, unlocking further insight for your enterprise.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

IBM Big Data Hub

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 7 – Initial query using the historical data (2003 – 2018).

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Depict Data Studio

OCTOBER 29, 2019

I have organized the changes into three main areas: report style and colour schemes, graphs and qualitative data and I will show my work from three different evaluation reports I wrote (2012, 2018 and 2019). Here’s what my reports’ styles and colour schemes looked like in my reports from 2012, 2018, and 2019. So many words.

Reporting 40

Reporting Consulting Visualization Data Collection 40

erwin

MARCH 4, 2021

1 driver for data governance, it’s still a major factor – especially since the rollout of the European Union’s General Data Protection Regulation (GDPR) in 2018. Like CCPA, the Virginia bill would give consumers the right to access their data, correct inaccuracies, and request the deletion of information.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Insight

JANUARY 14, 2020

Will a network trained with fake data be able to generalize to the real world? Lauren Holzbauer was an Insight Fellow in Summer 2018. In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment.

Metrics 58

Metrics Optimization Modeling Testing 58

Cloudera

DECEMBER 21, 2020

In a 2020 study by Facebook and Bain & Co , approximately 310 million customers in Southeast Asia (ASEAN) are expected to shop online with an average spend of US$172 this year, compared to the 250 million customers and average spend of US$124 in 2018. .

Data-driven 87

Data-driven Data Strategy Strategy Cost-Benefit 87

Domino Data Lab

JULY 22, 2019

It’s also a driver for data science. The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” ” If you don’t know, there were hundreds of millions of people affected worldwide during 2018 with security breaches and then data privacy leakage.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

NOVEMBER 19, 2019

Likewise, 2018 was the year of virtual assistants: Alexa, Cortana, all of them have taken the consumers’ market by storm. Such innovations offer the ability to transfer data over a network, creating valuable experiences for both the consumer and the business itself.

Technology 279

Technology Internet of Things IT IoT 279

AWS Big Data

FEBRUARY 1, 2024

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

Metadata 92

Metadata Modeling Data Processing Unstructured Data 92

Sisense

JUNE 9, 2021

Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The data collected by these devices is used to design personalized training plans. This data allows them to identify, change, and test the effectiveness of typical passages of play.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Cloudera

DECEMBER 22, 2017

This mountain of data holds a gold rush of opportunities for marketers to truly engage with their consumers, just as long as they can effectively mine through all that data and make sense of what really matters. To tackle this, it is worth considering the frequency of data being collected. Time is of the essence.

Marketing 40

Marketing Data-driven Data Collection Data mining 40

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. With this program, Alation teaches students the language of data in theory and in practice, so when they graduate and go on to work in data-centric companies, they’re prepared to translate knowledge into action.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. 2018-06-21). data collection”) show the “process” steps that a team performs, while the boxes (e.g.,

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Pierre-Yves Oudeyer (2018). This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66