Smart Data Collective

FEBRUARY 4, 2020

Phase 0 is the first to involve human testing. Phase I involves dialing-in the proper dosage and further testing in a larger patient pool. In a report on the failure rates of drug discovery efforts between 2013 and 2015, Richard K. At first glance, artificial intelligence may feel like a step away from our humanity.

Experimentation 113

Experimentation Testing Modeling Strategy 113

CIO Business Intelligence

MARCH 5, 2024

It also requires that LLMs that are unreliable or still under test only be made available in Indian Internet with explicit permission from the government, and only be deployed accompanied by a warning of their unreliability. Are there test cases they have to pass, or assurances given on level of testing and support?”

Testing 128

Testing Modeling Cost-Benefit Reporting 128

DataKitchen

JUNE 24, 2021

If you were buying a piece of furniture via any channel, you expect that piece of furniture to show up at your house in really good shape. You expect it to work. You expect it not to be marred, etc. You want a quality piece of furniture to show up in your home, the first time, and only once. That doesn’t happen that often in terms of data.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Sisense

MAY 26, 2020

While training a model for NLP, words not present in the training data commonly appear in the test data. Because of this, predictions made using test data may not be correct. Using the semantic meaning of words it already knows as a base, the model can understand the meanings of words it doesn’t know that appear in test data.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

datapine

APRIL 14, 2022

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. What’s the motive? The line is moving much quicker than expected… what gives? You shrug it off, drive up to the window, and place your order.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. In internal tests, AI-driven scaling and optimizations showcased up to 10 times price-performance improvements for variable workloads.

Data Lake 81

Data Lake Data Warehouse Data-driven Optimization 81

CIO Business Intelligence

FEBRUARY 10, 2023

But for two years, we were testing limits within the public cloud.” Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud. We spent about a year and a half going through several bottlenecks, taking them out one at a time with Amazon engineers.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

CIO Business Intelligence

NOVEMBER 15, 2023

The reason for this shift is simple: While CIOs can often call on talented teams of internal IT professionals to deliver business solutions, no technology department can be expected to generate every innovation necessary to compete in a fast-moving digital age. I would say, right now, I’m a technologist last. No one knows everything,” she says.

Technology 137

Technology Testing Insurance Marketing 137

CIO Business Intelligence

MAY 4, 2022

In fact, it has been available since 2013. Here’s some great news: that tool already exists. The invaluable tool you’re probably not maximizing . That’s a big problem, especially in today’s threat environment. . They wanted to understand why this was happening and what they could do differently. .

Measurement 105

Measurement Visualization Marketing Testing 105

Occam's Razor

FEBRUARY 3, 2014

According to Nielsen, YouTube reaches more US adults ages 18-34 than any cable network as of mid-2013. As of March 2013, one billion, (B!), One more thing to ponder… One hundred hours of video is uploaded into YouTube every single minute, as of May 2013. YouTube Marketing and Analytics Framework for Success.

Marketing 151

Marketing Analytics Advertising Measurement 151

CIO Business Intelligence

APRIL 4, 2024

Delete old data I lived in Hong Kong 2008-2013 and one of my most pleasurable weekends was a trip to see an incredible band at the MGM hotel in Macau. Firstly, it tests your ability to destroy data. Take inventory of what data you do hold Do you know what information you currently hold? Where it is held? Is yours readable?

Cost-Benefit 98

Cost-Benefit Data Governance Testing Modeling 98

Sisense

APRIL 2, 2019

With DevOps aiming for greater efficiencies between software development and IT teams, it was clear that automated processes needed to be put in place to build, test, and release software faster and more reliably. What is DevOps? Is it technology? Is it a process? No, DevOps is much more than that. Collaboration & Trust.

Software 80

Software Testing Enterprise IT 80

AWS Big Data

NOVEMBER 14, 2023

Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013. Since its creation in 2013, it has reached more than 40 million downloads and more than 700 million products have been listed. The marketplace can be accessed via mobile app or website.

Data Warehouse 64

Data Warehouse Analytics Testing Cost-Benefit 64

AWS Big Data

JULY 11, 2024

The solution can be further tuned by testing different supported OpenSearch Service KNN algorithms and scaled by importing additional protein embeddings into OpenSearch Service indexes. Embeddings are dense vector representations of objects—proteins in our case—that capture the essence of their properties in a continuous vector space.

Machine Learning 96

Machine Learning Modeling Data Processing Testing 96

CIO Business Intelligence

NOVEMBER 7, 2022

Panorama Consulting Solutions, which regularly surveys businesses on the outcomes of their ERP projects, shows in its 2022 report that 81% of projects met ROI expectations a year or more after go-live. It had to buy in fruit from other suppliers to meet its delivery commitments, taking a hit to margins. million over the following nine months.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

Insight

MAY 20, 2020

Spark is not always the right tool to use Spark is not magic, and using it will not automatically speed up data processing. In fact, in many cases, adding Spark will slow your processing, not to mention eat up a lot of resources. That is because there’s a lot of overhead in running Spark. all potentially customized to fit your needs.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Download the Gartner® Market Guide for Active Metadata Management 1. How will one decision affect customers?

Cost-Benefit 90

Cost-Benefit Metadata Data Governance Reporting 90

bridgei2i

JULY 28, 2020

It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014. This is a definitive guide for making AI real. Anushruti: Wonderful.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Howard Dresner

FEBRUARY 11, 2014

Collaboration BI At one of my weekly #BIWisdom tweetchats this month, collaboration, social media and text analytics turned up in a discussion about 2013 BI predictions that didn’t pan out. Vendors need to automate and decrease that effort.” • “I tested a social analytics tool; I was less than impressed.

Analytics 45

Analytics Business Intelligence Data Processing Machine Learning 45

Domino Data Lab

DECEMBER 1, 2019

Step 4: Generate the test, train and noisy MNIST data sets. Generate the train and test sets (x_train, _), (x_test, _) = mnist.load_data() x_train = x_train.astype('float32') / 255. Generate the train and test sets (x_train, _), (x_test, _) = mnist.load_data() x_train = x_train.astype('float32') / 255. increase in the error.

Machine Learning 77

Machine Learning Modeling Deep Learning Testing 77

IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

Dashboards 71

Dashboards Data Processing Metrics Cost-Benefit 71

AWS Big Data

MARCH 13, 2024

Ray cluster for ingestion and creating vector embeddings In our testing, we found that the GPUs make the biggest impact to performance when creating the embeddings. He entered the big data space in 2013 and continues to explore that area. This is where the Retrieval Augmented Generation (RAG) technique comes in.

Data Processing 123

Data Processing Dashboards Machine Learning Metrics 123

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 112

Data Warehouse Data Lake Analytics Machine Learning 112

Howard Dresner

AUGUST 27, 2013

Before the perfect storm, our tweetchat tribe (comprised of customers, vendors and consultants/analysts) were of the opinion that the growing “app” mentality for “cool stuff” among consumers and the easy-to-consume info in mobile apps could end up increasing trust and thus lead to less testing and faster releases. Collaborate how?”

Business Intelligence 60

Business Intelligence Finance Risk Data-driven 60

Smart Data Collective

MARCH 22, 2019

By 2020, the robotics technology market is expected to reach almost $83 bn, according to the Global Robotics Technology Market 2013-2020. Test the suggestions in a single department and scale the implemented technologies factory-wide, if successful. As a comparison, the 2015 expenditure of robotics was only $71 bn. Conclusion.

Manufacturing 61

Manufacturing Cost-Benefit Enterprise Technology 61

BizAcuity

DECEMBER 31, 2019

With the limited time F1 drivers have to test these days, rookies have to learn things very quickly – and he has done it very well. I grew up on St. The Rays have not named a starter. Unless you think it’s a longtime guy. It’s a great accomplishment in his first really full year in the majors. But so what, right?

Reporting 52

Reporting Testing Modeling IT 52

AWS Big Data

FEBRUARY 1, 2024

Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET). This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. One dataset that is commonly used is the Common Crawl dataset. It is continuously updated.

Metadata 111

Metadata Modeling Data Processing Unstructured Data 111

Edwin Chen

AUGUST 14, 2014

How can we understand causal lifts in the absence of an A/B test? Assume that it's impossible to run an A/B test now that the feature has been launched.) For simplicity, let's assume that the badge was given to all users who received at least 5000 upvotes in 2013. Suddenly, one of your teammates drops by your desk.

Modeling 75

Modeling Measurement Sales Testing 75

Domino Data Lab

APRIL 21, 2021

The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data. The drawbacks are that rule-based detection is computationally intensive and is usually implemented as batch (or offline) scoring.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

AUGUST 22, 2019

Removing stop words: These are frequently occurring words that tend to contain relatively little distinctive meaning, such as the , at, which , and of. There is no universal consensus on the precise list of stop words, but depending on your application it may be sensible to ensure that certain words are (or aren’t!) considered to be stop words.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

In the examples above, we might use our estimates to choose ads, decide whether to show a user images, or figure out which videos to recommend. These decisions are often business-critical, so it is essential for data scientists to understand and improve the regressions that inform them. The size and importance of these systems makes this hard.

KDD 40

KDD Testing Machine Learning Measurement 40

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease.

Machine Learning 50

Machine Learning Internet of Things Data-driven Big Data 50

The Data Visualisation Catalogue

MARCH 18, 2019

Here, 3D Treemaps were tested for visualising the classificatory distribution of patent collections in the International Patent Classification (IPC) system. Schumann Rendering of Complex 3D Treemaps (GRAPP 2013). With this 3D Treemap, there doesn’t seem to be any nesting of subcategories in the design there. Luboschnik, H.

Visualization 49

Visualization Interactive Software Experimentation 49

The Unofficial Google Data Science Blog

APRIL 23, 2024

by CHRIS HAULK It is sometimes useful to think of a large-scale online system ( LSOS ) as an abstract system with parameters $X$ affecting responses $Y$. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g. the fraction of video recommendations resulted in positive user experiences).

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

BizAcuity

MAY 10, 2022

History and innovations in recent times. Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

MARCH 27, 2019

Manipulating Data with dplyr : Chapter Introduction. The dplyr (“dee-ply-er”) package is the preeminent tool for data wrangling in R (and perhaps in data science more generally). It provides programmers with an intuitive vocabulary for executing data management and analysis tasks. A Grammar of Data Manipulation. mean, count, max).

Statistics 85

Statistics Data Science Visualization IT 85

CIO Business Intelligence

AUGUST 16, 2024

Next time you settle into your airline seat, it might be worth setting aside the reports and spreadsheets and instead turn this time into an opportunity for big-picture thinking. I asked CIOs and other high-level IT leaders what they have read that they think other leaders would benefit from. Find fulfillment in what you do.

IT 137

IT Technology Management Software 137