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.

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Testing Behavioral Analytics Data-driven Big Data 122

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

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. Roughly speaking, ad fraud takes $1 from $5 invested in digital ads.

Advertising 137

Advertising Marketing Technology Uncertainty 137

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. Or Become It (Chronicle Books, 2018) by Mark Shayler.

IT 130

IT Software Recreation/Entertainment Technology 130

Smart Data Collective

JUNE 24, 2023

This means that anybody that is possible victim will need to leverage AI-driven cyber security measures to protect their digital assets. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum. In 2019, another team tested the new fraudulent behavior Honeypot in Ethereum.

Machine Learning 77

Machine Learning Broadcasting Risk Data mining 77

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

Smart Data Collective

SEPTEMBER 22, 2021

Data breaches have become much more common in recent years. One estimate shows that over 37 billion data records were exposed last year. The risk of data breaches will not decrease in 2021. Every business out there is now forced to become an internet business, which makes them more dependent on data.

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Statistics Risk Measurement Software 106

Paul Blogs on BI

JULY 30, 2018

If you have driven in Egypt (and have survived) you will know that Egyptians put their vehicles through a lot and these older models have stood the test of time both in terms of their reliability and robustness. To that end, some customers have tried using Tableau, PowerBI and other BI dashboard /data visualization products.

Dashboards 40

Dashboards Visualization Manufacturing Data-driven 40

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

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Enterprise Modeling Testing Reporting 267

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Cloudera

AUGUST 6, 2018

In recent years, we have heard a great deal about how new and sophisticated understanding of how to interpret the onslaught of data produced in the modern age could help us turn the corner on major social and environmental problems. While we have been using data to improve philanthropy for years, a great deal has changed very quickly.

Machine Learning 51

Machine Learning Internet of Things Cost-Benefit Data-driven 51

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

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 124

Data Lake IT Experimentation Data-driven 124

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Congratulations and high fives to every organization that submitted entries.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

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.

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Analytics Machine Learning Insurance Testing 145

AWS Big Data

OCTOBER 19, 2023

Customers uploading and searching through decades of photos helped turn search into critical infrastructure, growing steadily since SmugMug first used Amazon CloudSearch in 2012, followed by Amazon OpenSearch Service since 2018, after reaching billions of documents and terabytes of search storage.

Publishing 55

Publishing Testing Cost-Benefit Data-driven 55

AWS Big Data

DECEMBER 8, 2023

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 70

Data Warehouse Cost-Benefit KPI Risk 70

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

Sisense

JUNE 9, 2021

Like pretty much everything else in the world, football has become more data-driven than ever, so when the 24 teams set out to win the championship on 11 June , you can bet your bottom Euro that each team’s tactics, formation, and training will be shaped by a mountain of data. We can’t wait!

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Alation

FEBRUARY 13, 2020

After 116 years in business, legendary guitar maker Gibson filed for bankruptcy in 2018. It requires organizations to adopt a scientific mindset of testing and iteration to find the truth, rather than using data to support a predetermined path. Too much emphasis on technology and too little emphasis on creating a data culture.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

IBM Big Data Hub

JUNE 21, 2022

Today, organizations are experiencing relentless data growth spurred by the digital acceleration of the past two years. While this period presents a great opportunity for data management, it has also created phenomenal complexity as businesses take on hybrid and multicloud environments. . How IBM built its own data fabric .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

Jet Global

MAY 18, 2020

In the last few months, this level of thinking has been tested more than ever before. It now includes data scientists and strategists, alongside the traditional controllers and accountants, meaning there are many more people looking at numbers. Humans are very visually driven, especially in this digitallyled age. A New Look.

Finance 64

Finance Reporting Uncertainty Testing 64

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

bridgei2i

FEBRUARY 21, 2019

Monideepa Bhattacharya, Digital Transformation Lead, BRIDGEi2i Analytics Solution, delivered the keynote presentation at Infocom-2018, Kolkata. Some of the buzzwords of the day: blockchain, graph database, edge computing, and AI-driven solutions can seem quite complex yet undoubtedly they are the future of technology.

Digital Transformation 66

Digital Transformation Analytics Sales KPI 66

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. 2018-06-21). ML model interpretability and data visualization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Data Science and Beyond

OCTOBER 15, 2017

Aspiring data scientists and other visitors to this site often repeat the same questions. How do I become a data scientist? Before we get into it, have you thought about why you want to become a data scientist? Why should I become a data scientist? Do you know what data science is? It depends on your situation.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

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

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

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Forecasting Data Science Statistics Uncertainty 113

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks. Greg Rahn: Sure.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

CIO Business Intelligence

AUGUST 1, 2023

During keynotes and discussions with CIOs, I remind everyone how strategic priorities evolve significantly every two years or less, from growth in 2018, to pandemic and remote work in 2020, to hybrid work and financial constraints in 2022. That’s my key advice to CIOs and IT leaders.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

DataRobot Blog

FEBRUARY 4, 2021

The same report estimates that in 2018 alone, AI contributed $2 trillion to the global GDP. Despite the enormous rewards of implementing AI solutions, becoming an AI-driven organization is still a challenge. It’s incredibly important to build a bridge between what your data scientists are working on and the business outcome.

ROI 52

ROI Data-driven Machine Learning Finance 52

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? This training program is about classic data visualization principles? Course 1: Data Visualization Design Principles . We’ll go broad?

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Visualization Consulting Dashboards Reporting 40

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

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. Infosys will fold oddity into Wongdoody, the US consumer insights agency it bought in 2018. NTT Data adds Vectorform to service portfolio.

Technology 143

Technology Enterprise Consulting Software 143

IBM Big Data Hub

FEBRUARY 9, 2024

But the most impactful developments may be those focused on governance, middleware, training techniques and data pipelines that make generative AI more trustworthy , sustainable and accessible, for enterprises and end users alike. iii] “AI models haven’t had that kind of data before.

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Cost-Benefit Modeling Data-driven Enterprise 98