Smart Data Collective

JANUARY 13, 2021

Big data has started to change the world in a lot of ways. quintillion bytes of data every single day. As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree.

Big Data 86

Big Data Machine Learning Data-driven Manufacturing 86

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Enterprise Repository Era” (1990–2010) – first generation DG solutions.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 14 years later, in 2020, the pandemic demands for remote work, and overnight revisions to business strategy. 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

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 249

Machine Learning Testing Modeling Cost-Benefit 249

Sisense

JUNE 9, 2021

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. FIFA didn’t even start counting assists until 1994 !

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

O'Reilly on Data

MARCH 20, 2019

For example, an attacker could learn what characteristics your model associates with awarding large discounts, like comping a room at a casino for a big spender, and then falsify their information to receive the same discount. They could also share their strategy with others, potentially leading to large losses for your company.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

CIO Business Intelligence

DECEMBER 13, 2022

Split the data among multiple machines and create a distributed system. NoSQL (“Not only SQL”) databases were invented to cope with these new requirements of volume (capacity), velocity (throughput), and variety (format) of big data. Cassandra’s scalability was impressive, but its reliability also sets it apart among databases.

Broadcasting 59

Broadcasting IoT Data-driven Software 59

Occam's Razor

SEPTEMBER 15, 2014

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Create a distinct mobile website and mobile app measurement strategies.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

AUGUST 28, 2017

Why the scale at which we can (/have to) solve the problems is already well beyond the grasp of the fundamental strategy most companies follow: We have a bigger revenue opportunity, but we don’t know how to take advantage? Some new techniques – machines, analytical strategies – might be accessible to the resident.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. The big rise in digital consumption vs. 2010 is much more obvious now. That strategy does work some times. Remember, often is not always.

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

The Unofficial Google Data Science Blog

MARCH 31, 2016

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. Applied Stochastic Models in Business and Industry, 26 (2010): 639-658. [10] Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. 2005): 301-320. [9] 9] Steven L.

Modeling 40

Modeling Statistics Advertising Testing 40

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. Exclusive Bonus Content: How to be data driven in decision making? Download the list of the 11 essential steps to implement your BI strategy! 10 Tips And Takeaways For An Enhanced Data Driven Decision Making Strategy.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

There is no longer always intentionality behind the act of data collection — data are not collected in response to a hypothesis about the world, but for the same reason George Mallory climbed Everest: because it’s there. References [1] Efron, B. Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction.

Experimentation 61

Experimentation Testing Statistics Metrics 61

O'Reilly on Data

JANUARY 25, 2021

It’s possible that AI (along with machine learning, data, big data, and all their fellow travelers) is descending into the trough of the hype cycle. It’s tempting to think of Flask and Vue as “new” platforms, but they were released in 2010 and 2014, respectively; they’ve had time to establish themselves. The result?

Machine Learning 363

Machine Learning Software Testing Technology 363

Edwin Chen

SEPTEMBER 29, 2011

Big Data 0.41. Inception (2010 movie) 0.535. The Social Network (2010 movie) 0.513. Google Social Strategy 0.453. Sachin Tendulkar 0.443. Hacker News 0.442. Games 0.429. Android Applications 0.428. Best Engineers and Programmers 0.427. College Admissions & Getting Into College 0.422. Co-Founders 0.419.

Finance 81

Finance Interactive Machine Learning Advertising 81