CIO Business Intelligence

SEPTEMBER 19, 2023

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Occam's Razor

JANUARY 9, 2012

Our mental model has not shifted enough to the existing reality. All while constantly optimizing your portfolio via controlled experiments. I told 20 people that Nikon's site is slow and profoundly sub-optimal on mobile. We are talking about taking controlled risks and optimization. Bank of America everything.

Marketing 140

Marketing B2B Measurement Risk 140

IBM Big Data Hub

NOVEMBER 13, 2023

In 2015, Google donated Kubernetes as a seed technology to the Cloud Native Computing Foundation (CNCF) (link resides outside ibm.com), the open-source, vendor-neutral hub of cloud-native computing. At IBM we are helping clients modernize their applications and optimize their IT infrastructure with Kubernetes and other cloud-native solutions.

Machine Learning 111

Machine Learning Data-driven Software Testing 111

IBM Big Data Hub

FEBRUARY 7, 2024

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion in economic benefits by 2030.

Reporting 92

Reporting Internet of Things Cost-Benefit Data-driven 92

Smart Data Collective

JANUARY 27, 2021

Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings. They tended to avoid using technical analysis models, because those models don’t tend to hold up well with traditional securities, such as stocks and bonds.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Data Modelling Patterns 101 Using Power Pivot. Tips and Tricks on Charts and Data Models. Actionable Visualization In Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Data Modelling Patterns 101 Using Power Pivot. Tips and Tricks on Charts and Data Models. Actionable Visualization In Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

CIO Business Intelligence

OCTOBER 21, 2022

When Curt Garner became Chipotle’s first CIO in 2015, the only technology used for online restaurant ordering was, “believe it or not,” a fax machine, he says. Currently, Chipotle is exploiting a variety of cloud services that are part of the Microsoft Azure platform, such as its AI and ML modeling services.

Digital Transformation 144

Digital Transformation Data Lake Forecasting Technology 144

IBM Big Data Hub

FEBRUARY 2, 2024

What companies are doing : Companies are incorporating sustainable practices into their business models. Businesses may optimize logistics by revaluating supply chain practices ; for example, by making transportation and shipping more efficient or using only suppliers that embrace sustainable practices.

Optimization 88

Optimization Cost-Benefit Strategy Technology 88

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. 14) “High-Performance MySQL: Optimization, Backups, and Replication” by Baron Schwartz, Peter Zaitsev, and Vladimir Tkachenko.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

OCTOBER 11, 2022

Built on Amazon SageMaker , a service to build, train, and deploy ML models, AI Bench has accelerated the pace of innovation and reduced the barrier of entry for machine learning across AstraZeneca. . “We AI and machine learning are helping us optimize that process and reduce the time it takes. AstraZeneca. Artificial Intelligence

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

DataRobot

JANUARY 25, 2022

While traditional modeling relies on classification, regression, and static data, the data for time series is far more fluid. They must battle the status quo, of legacy models that work “just fine,” and the everyday issues surrounding the scale of predictions requirements. Trillion Inventory Distortion Problem , Greg Buzek, 2015).

Forecasting 52

Forecasting Cost-Benefit Data-driven Data Science 52

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Introduction. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

IBM Big Data Hub

DECEMBER 20, 2023

. ” Since its inception, the company has underscored initiatives like its co-op membership model and sustainability commitments as a way to distinguish itself from competitors catering to more general audiences. But not all successful businesses strategies will conform precisely to the four generic models outlined above.

Strategy 72

Strategy Advertising Key Performance Indicator Consulting 72

IBM Big Data Hub

MARCH 29, 2024

Here, we dissect those differences and discuss how businesses can use REST and GraphQL APIs to optimize their networks. GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015. However, they differ significantly in how they manage data traffic.

Interactive 75

Interactive Digital Transformation Management Optimization 75

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. It advances the scalability of ML in real-world applications by using algorithms to improve model performance and reproducibility.

Data Science 55

Data Science Machine Learning Cost-Benefit Deep Learning 55

Smart Data Collective

MARCH 24, 2020

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. Student Model Based on Big Data. Big Data Management Process Diagram in Education. Completion. Fixation of the identified problems in the final report. Used educational content.

Big Data 100

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 100

Smart Data Collective

JANUARY 11, 2021

A 2015 study by the market research company IDC, which surveyed almost 600 manufacturing enterprises from 17 countries, discovered more than 90% of global companies are using cloud computing in some part of their operations. Many manufacturers use pay-as-you-go models to enhance profitability. In turn, that will save you money.

Manufacturing 99

Manufacturing Cost-Benefit Internet of Things Big Data 99

Cloudera

OCTOBER 17, 2023

Flink was launched in 2015 as the world’s first open source streaming-first distributed stream processing engine and has since grown to rival Spark in terms of popularity. Cloudera perspective: Cloudera began providing support and building tooling for the Kafka ecosystem in 2015 and has developed stable enterprise solutions.

Data-driven 77

Data-driven Enterprise IoT Data Warehouse 77

CIO Business Intelligence

AUGUST 12, 2022

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. We’re very much focused on the commercialization of acquisitions, making sure we don’t break the deal models and that things are running as they should be,” says John Stevens, vice president of IT at Thermo Fisher. in 2016, and BD Advanced Bioprocessing in 2018.

IT 104

IT Data Lake Sales Interactive 104

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

AWS Big Data

JULY 28, 2023

Athena also updated its data connectors with optimizations that improve performance and reduce cost when querying federated data sources. The updated connectors use dynamic filtering and an expanded set of predicate pushdown optimizations to perform more operations in the underlying data source rather than in Athena.

Big Data 83

Big Data Data Architecture Data Lake Interactive 83

AWS Big Data

OCTOBER 23, 2023

Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer.

Data Lake 104

Data Lake Visualization Optimization Interactive 104

Smart Data Collective

JULY 2, 2019

One of the greatest challenges facing modern society is turning the page on current energy models. Better distribution, cost savings, technical improvements and, above all, the optimization of resources are some of the spaces that are opened up thanks to new technologies. The energy sector is under review. ” Conclusion.

Data Analytics 76

Data Analytics Internet of Things Analytics Big Data 76

datapine

JUNE 7, 2022

Companies can take advantage of this by omitting years with significant changes in sales to model their earnings to look constant and predictable, masking the true volatility of the market. By using the standard model for visual models, you can avoid misleading your reader. Correlating Causation. Follow Convention.

Visualization 267

Visualization Metrics Statistics Dashboards 267

Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., We now turn our attention to the problem of finding the optimal hyperplane.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Cloudera

NOVEMBER 15, 2021

For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. In other words, structured data has a pre-defined data model , whereas unstructured data doesn’t. . It facilitates AI because, to be useful, many AI models require large amounts of data for training. And data moves around.

Unstructured Data 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

CIO Business Intelligence

JULY 6, 2023

Spreading the news Telecom provider AT&T began trialing RPA in 2015 to decrease the number of repetitive tasks, such as order entry, for its service delivery group. GPT-4 (Generative Pre-trained Transformer 4) is a multimodal large language model created by OpenAI, an AI research laboratory.

Cost-Benefit 116

Cost-Benefit Technology Unstructured Data Testing 116

Insight

JUNE 10, 2019

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Transfer learning applied to ResNet50 CNN Training results The final accuracy of the model, when tested on a subset of the training data, was 97%.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Sisense

MARCH 18, 2019

My involvement with Sisense started in mid-2015. As part of our continuing tech investments, CTSI-Global decided to incorporate modern BI technology to help shippers perform advanced forecasting and modeling through elegant and robust visualizations on top of the centralized shipping data we aggregate. Automation and Integration.

Analytics 71

Analytics Dashboards Metrics Visualization 71

Rita Sallam

JULY 31, 2017

And yet organizations’ processes for preparing data for analysis, analyzing data, building advanced analytics models, interpreting results and telling stories with data remain largely manual and prone to bias. Data volumes are increasing and becoming more complex to optimize cross-functional digital business decisions.

Marketing 72

Marketing Analytics Machine Learning Data Science 72

AWS Big Data

JUNE 6, 2023

AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data. The Data Science teams also use this data for churn prediction and CLTV modeling. What we needed was a data pipeline from BigQuery to our Data Lake and the DWH.

Analytics 55

Analytics Data Lake Testing Optimization 55

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. Data Science Companies Focus on Optimal Data Utilization Rather than Just Emphasizing Data Scalability. Companies like Endor understand the risks and develop data science models that account for them. Endor is a leading pioneer in data science.

Data Science 67

Data Science Big Data Data Strategy Risk 67

Alation

FEBRUARY 20, 2020

Combine machine learning, crowdsourcing, and stewardship by experts to optimize both quantity and quality of information. . Optimizing for Quality and Quantity. LinkedIn provides a good model. Inventory vs. Catalog. Context is King. Suppliers think about inventory. Consumers look at catalogs. Crowd-Sourcing vs. Stewardship.

Metrics 52

Metrics Consulting Machine Learning Statistics 52

Sisense

FEBRUARY 24, 2021

But that number rose sharply afterwards, with the team noting there were over 1,000 people in this role by 2015. Challenge: CDOs are looking for an analytics solution that is flexible enough for the highly technical modeling that data analysts and engineers need while also being accessible for the business analyst.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Cloudera

APRIL 21, 2022

(Remember, a pedabyte of data is roughly equivalent to 500 billion pages of standard printed text) A solution was needed to backstop those never-ending streams of data into a single, universally available platform, using advanced analytics powered by machine learning optimized for a cloud service.

Metadata 86

Metadata Informatics Insurance Data Processing 86