Smart Data Collective

APRIL 23, 2019

Big data is playing a vital role in productivity optimization in virtually every industry. Countless new tools rely on big data to streamline productivity. Big Data Makes Productivity Technology a Thing of the Future. Big Data is Changing the Nature of Productivity for Years to Come.

Big Data 85

Big Data Measurement Experimentation Reporting 85

AWS Big Data

JUNE 11, 2024

Zstandard codec The Zstandard codec was introduced in OpenSearch as an experimental feature in version 2.7 , and it provides Zstandard-based compression and decompression APIs. release , the Zstandard codec has been promoted from experimental to mainline, making it suitable for production use cases. as experimental feature.

Optimization 94

Optimization Experimentation Cost-Benefit Software 94

Occam's Razor

AUGUST 12, 2013

There are few things more complicated in analytics (all analytics, big data and huge data!) The outcome in either scenario is a restructuring of the organization that is exquisitely geared towards taking advantage of portfolio optimization. Is there an optimal conversion window you are solving for?

Modeling 162

Modeling Optimization Marketing Interactive 162

Smart Data Collective

JUNE 29, 2022

Big data technology is leading to a lot of changes in the field of marketing. A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data.

B2B 124

B2B Data-driven Marketing Strategy 124

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” 4) What data do you have to fuel the algorithms, the training and the modeling processes? (5) The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

DataRobot Blog

SEPTEMBER 22, 2022

Next week, we’re excited to partner with industry leaders at Big Data & AI Paris, alongside a launch of a dedicated French language microsite. We will be speaking with AI leaders at Big Data & AI Paris 2022 on September 26-27 to share how DataRobot has helped to solve AI and data science challenges in top organizations.

Big Data 52

Big Data Insurance Experimentation Data Science 52

AWS Big Data

NOVEMBER 2, 2023

Solution overview GoDaddy’s intelligent compute platform envisions simplification of compute operations for all personas, without limiting power users, to ensure out-of-box cost and performance optimization for data and ML workloads. He has over 6 years of experience working in the field of big data and data science.

Cost-Benefit 111

Cost-Benefit Big Data Testing Optimization 111

CIO Business Intelligence

MAY 12, 2022

Most tools offer visual programming interfaces that enable users to drag and drop various icons optimized for data analysis. SPSS Modeler is a drag-and-drop tool for creating data pipelines that lead to actionable insights. A free plan allows experimentation. More focused options are available for particular data sets.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. But it is not routine.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. Big data is changing our world.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. As in the finance sector, security and compliance are paramount concerns for data scientists.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

CIO Business Intelligence

FEBRUARY 22, 2024

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 105

IT Digital Transformation IoT Cost-Benefit 105

datapine

FEBRUARY 4, 2020

If it has been optimized for SEO though, you shouldn’t stop measuring it after the first week, as it needs a couple of months to reach its “cruising traffic”, and you can get several thousands of monthly visits. Using this data can provide insights on whether your investments are stable or need more optimization to deliver specified targets.

Reporting 280

Reporting Marketing Advertising Metrics 280

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

JULY 8, 2024

In every Apache Flink release, there are exciting new experimental features. With this new release, it gives the application the capability to adjust checkpointing intervals dynamically based on whether the source is processing backlog data ( FLIP-309 ). Connectors With the release of version 1.19.1,

Management 115

Management Consulting Dashboards Snapshot 115

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

AWS Big Data

SEPTEMBER 5, 2024

A more advanced method is to combine traditional inverted-index(BM25) based retrieval, but this approach requires spending a considerable amount of time customizing lexicons, synonym dictionaries, and stop-word dictionaries for optimization. Experimental data selection For retrieval evaluation, we used to use the datasets from BeIR.

Metrics 111

Metrics Testing Experimentation Modeling 111

IBM Big Data Hub

JUNE 10, 2024

Cloud-based XaaS offerings provide organizations with the agility to scale resources up or down based on demand, enabling optimal resource utilization and cost efficiency. With granular insights into resource consumption, businesses can identify opportunities for optimization and allocate budgets more effectively.

Experimentation 62

Experimentation Optimization Risk Management Machine Learning 62

Sisense

JULY 24, 2019

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. There are many activities going on with AI today, from experimental to actual use cases.

Analytics 89

Analytics Experimentation Metadata Big Data 89

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Platforms and practices not optimized for AI.

Metadata 97

Metadata Risk Management Risk Experimentation 97

Cloudera

JUNE 6, 2019

When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. This approach seeks to optimize resource utilization or infrastructure efficiency. Lakshmi Randall is Director of Product Marketing at Cloudera, the enterprise data cloud company. 2) By workload type.

Metadata 86

Metadata Data Lake Optimization Strategy 86

IBM Big Data Hub

MAY 17, 2024

Most importantly, the organization has now created repeatable processes for moving apps, workstreams and data to the cloud. Optimized: Cloud environments are now working efficiently and every new use case follows the same foundation set forth by the organdization. DevOps and DevSecOps are operational, highly skilled and fully scaled.

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

CIO Business Intelligence

DECEMBER 10, 2024

For example, our employees can use this platform to: Chat with AI models Generate texts Create images Train their own AI agents with specific skills To fully exploit the potential of AI, InnoGames also relies on an open and experimental approach. Volker Janz has been part of the data team at InnoGames GmbH for over a decade.

Data-driven 98

Data-driven Metadata Interactive KPI 98

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Just-in-Time” manufacturing increases production while optimizing resources. Agile development.

Manufacturing 98

Manufacturing Testing Data Quality Dashboards 98

FineReport

DECEMBER 19, 2019

Generally, companies will store data in local databases or public clouds. and others will use big data storage format like HBase and Parquet. Python and R are the two most widely used programming languages in the field of data analysis. Data Analysis Libraries. Most database systems use SQL. Programming Languages.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation.

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

IBM Big Data Hub

DECEMBER 5, 2023

This data tracks closely with a recent IDC Europe study that found 40% of worldwide retailers and brands are in the experimentation phase of generative AI, while 21% are already investing in generative AI implementations. The impact of these investments will become evident in the coming years.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. Second… well there is no second, it is all about the big action and getting a big impact on your bottom-line from your big investment in analytics processes, consulting, people and tools.

Data-driven 142

Data-driven Consulting Reporting Marketing 142

AWS Big Data

SEPTEMBER 13, 2024

The AWS pay-as-you-go model and the constant pace of innovation in data processing technologies enable CFM to maintain agility and facilitate a steady cadence of trials and experimentation. In this post, we share how we built a well-governed and scalable data engineering platform using Amazon EMR for financial features generation.

Interactive 107

Interactive Strategy Cost-Benefit Data Governance 107

IBM Big Data Hub

SEPTEMBER 25, 2023

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. Uber’s prowess as a transportation, logistics and analytics company hinges on their ability to leverage data effectively. But the simplicity ends there.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

IBM Big Data Hub

OCTOBER 20, 2023

This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Decision optimization: Streamline the selection and deployment of optimization models and enable the creation of dashboards to share results, enhance collaboration and recommend optimal action plans.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." Optimal Starting SCOTUS Starting Points. This reality powers my impostor syndrome, and (yet?)

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

AWS Big Data

JUNE 12, 2024

These topics include federation with the Swisscom identity provider (IdP), JDBC connections, detective controls using AWS Config rules and remediation actions, cost optimization using the Redshift scheduler, and audit logging. This module is experimental and under active development and may have changes that aren’t backward compatible.

Data Architecture 115

Data Architecture Cost-Benefit Data-driven Experimentation 115

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice.

Metadata 71

Metadata Risk Experimentation Dashboards 71

Occam's Razor

AUGUST 13, 2012

It is hard, it is time consuming, but it also allows you to test your hypotheses on possible optimal allocations, test them in the real world, find the best answers and be brilliant with your marketing spend mix. I can use that to hypothesize what an optimal budget allocation might look like.

Modeling 125

Modeling Metrics Data Quality Data-driven 125