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

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

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 102

Metadata Risk Risk Management Experimentation 102

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 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

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 131

Unstructured Data Data Analytics Analytics Structured Data 131

IBM Big Data Hub

FEBRUARY 1, 2024

Today, more than 130 central banks are actively exploring CBDCs and publishing periodic reports on the functional and non-functional requirements of CBDC platforms, including the evolving architectural considerations and the outcomes of their various CBDC experimentations.

Experimentation 100

Experimentation Modeling Finance Reporting 100

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

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 77

Metadata Risk Experimentation Dashboards 77

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 87

Manufacturing Testing Experimentation Data Quality 87

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

IBM Big Data Hub

DECEMBER 14, 2023

It is very easy to turn a terraform template into a deployable architecture and open the door to cost optimization, compliance management, self-service, standardization and repeatability. The extension of the CIO office’s dedicated data center to the IBM public cloud allowed for experimentation and growth with zero risk.

Experimentation 72

Experimentation Testing Software Management 72

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 Experimentation Reporting 98

Smart Data Collective

DECEMBER 30, 2020

Big data is playing an important role in many facets of modern business. One of the most important applications of big data technology lies with inventory management and optimization. Understanding the Best Data-Driven Inventory Optimization Applications for the Coming Year.

Data-driven 94

Data-driven Software Optimization Big Data 94

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 156

Metrics KPI Analytics Key Performance Indicator 156

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 71

Big Data Measurement Experimentation Reporting 71

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 95

Experimentation Statistics Testing Strategy 95

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

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 Strategy Strategy 142

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 85

Data Lake Analytics Snapshot Optimization 85

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 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

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 161

Modeling Optimization Marketing Interactive 161

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 81

Data Lake Snapshot Metadata Optimization 81

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 85

Metadata Data Lake Optimization Strategy 85

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

IBM Big Data Hub

JANUARY 17, 2023

You can select a hybrid integration strategy that aligns with your organization’s business strategy to meet the needs of your data consumers wanting to access and utilize the data. Data science and MLOps. AI is no longer experimental. Start a trial. Start a trial. AI governance.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams. Taking a pulse.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

DECEMBER 12, 2016

And, most importantly, everything I'll provide to my boss helps her deeply internalizes I am focused 100% on business priorities – rather than random big data sojourns. If you don't have this, ideally signed in blood by your leadership team and you, then you are just messing around with data. This is sub-optimal.

Analytics 141

Analytics Data-driven Strategy Consulting 141

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

OCTOBER 4, 2023

Use case 1: Data discoverability “ Bristol Myers Squibb is actively pursuing an initiative to reduce the time it takes to discover and develop drugs by more than 30%. A key component of this strategy is addressing data sharing challenges and optimizing data availability.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

AWS Big Data

JANUARY 24, 2023

This post explains how to create a design that automatically backs up Amazon Simple Storage Service (Amazon S3), the AWS Glue Data Catalog, and Lake Formation permissions in different Regions and provides backup and restore options for disaster recovery. These mechanisms can be customized for your organization’s processes.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Sell 1 (PVH, PVH) 2022-09-06 18321.729571 55.15

Snapshot 82

Snapshot Data Lake Testing Strategy 82

AWS Big Data

MARCH 20, 2023

The AWS Data Lab offers accelerated, joint engineering engagements between customers and AWS technical resources to create tangible deliverables that accelerate data and analytics modernization initiatives. This frequently accessed information cached in a centralized cache will optimize fetch time.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

JUNE 20, 2023

Data scientists can reduce the time spent preparing and copying datasets, and instead focus on data feature engineering, experimentation, and analyzing data at scale. Solution overview Data scientists are generally accustomed to working with large datasets.

Data Lake 72

Data Lake Data Science Recreation/Entertainment Experimentation 72

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. Real-time streaming data technologies are essential for digital transformation.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

AWS Big Data

JULY 26, 2023

We recognize that many of you are in the experimentation phase and would like a more economical option for dev-test. Lastly, we are diligently focused on optimizing the performance and memory usage of the vector graphs, including improving caching, merging and more.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Occam's Razor

SEPTEMBER 15, 2014

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). Media-Mix Modeling/Experimentation. Media-Mix Modeling/Experimentation. Many reasons.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

FEBRUARY 28, 2017

Additionally, I passionately believe that optimal metrics help solve for more than an individual’s behavior. While not optimal, it was understandable given the evolutionary stage they were at. Or, worry a ton about the three ad levers you can pull, Content, Targeting, Bids, to ensure you are optimizing for the max leads you can get.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106