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

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Creating Interactive Visualisation for Actionable Analytics. Creating Interactive Visualisation for Actionable Analytics. We will also learn how to configure Power Pivot to enable Power BI Q&A to build interactive visualization.

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. Creating Interactive Visualisation for Actionable Analytics. Creating Interactive Visualisation for Actionable Analytics. We will also learn how to configure Power Pivot to enable Power BI Q&A to build interactive visualization.

Dashboards 40

Dashboards Visualization KPI Interactive 40

CIO Business Intelligence

AUGUST 12, 2022

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. With more than 10 million transactions and interactions per year across order entry, sales, and customer service, the company found those processes could not scale to meet the demand and deliver the experience its customers needed. in 2016, and BD Advanced Bioprocessing in 2018.

IT 105

IT Data Lake Sales Interactive 105

datapine

SEPTEMBER 27, 2022

Amongst the various topics that it covers, ”SQL Performance Explained” offers knowledge into: Correctly applying SQL functions Using indexes correctly How to use LIKE queries efficiently How to optimize join operations Data clustering Database scalability. 17) “SQL Database Programming” (2015 Edition) By Chris Fehily.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

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. The system provides “demand-based cooking and ingredient preparation forecasts to optimize throughput and freshness while minimizing food waste,” according to the company.

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

Ontotext

FEBRUARY 23, 2023

RDF engines are good for graph analytics Historically, the Labeled Property Graph (LPG) engines were optimized to deal with graph analytics, while the Resource Description Framework (RDF) engines were designed for data publishing and metadata management. This era is over! billion edges. CWI) and some of the major graph database vendors (e.g.,

Publishing 52

Publishing Metadata Optimization Testing 52

Ontotext

JUNE 27, 2024

Ontologies are formal representations of knowledge within a domain, using concepts and relationships to describe entities and their interactions. By encoding this information, the system can optimize resource allocation, identifying and selecting suitable tools and equipment for each task of an assembly process. Online: [link] [3] A.

Modeling 72

Modeling Manufacturing Software Management 72

IBM Big Data Hub

MARCH 29, 2024

As the conduits through which software components interact and data flows across the internet, APIs are the lifeblood of contemporary web services. Here, we dissect those differences and discuss how businesses can use REST and GraphQL APIs to optimize their networks. However, they differ significantly in how they manage data traffic.

Interactive 73

Interactive Digital Transformation Management Optimization 73

Smart Data Collective

FEBRUARY 14, 2023

The best part is that many of these web apps are using AI technology to provide the optimal user experience. Web developers know that they’re working within the constraints of a browser, so they tend to optimize their product to operate as efficiently as possible with fewer computing resources.

Risk 117

Risk Technology Optimization Machine Learning 117

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. research is issues related to internal interaction. This is a bit of an exaggeration, but he is correct that big data is changing the future of the industry. Big Data Internal Impact.

Big Data 100

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 100

Jet Global

JUNE 3, 2022

Max Hulten, Planspace Co-Founder and Partner has been working with Bizview since 2015, implementing the product for countless customers. Max works closely with his customers to optimize their Bizview solution and takes notice of any mentions of aspects of the product that could be improved. Listen closely to your customers.

Consulting 52

Consulting Interactive Optimization Technology 52

FineReport

MARCH 7, 2024

Gantt charts are instrumental in optimizing long-term plans by breaking down mid-to-long-term goals into more manageable short-term plans. With various interactive report effects, it comprehensively meets the visualization development needs of data reports. For instance, 42214 represents July 29, 2015.

Visualization 52

Visualization Reporting Software Business Intelligence 52

AWS Big Data

JULY 28, 2023

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting.

Big Data 86

Big Data Data Architecture Data Lake Interactive 86

AWS Big Data

OCTOBER 23, 2023

For interactive applications, Athena Spark allows you to spend less time waiting and be more productive, with application startup time in under a second. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. About the Authors Pathik Shah is a Sr.

Data Lake 115

Data Lake Visualization Optimization Interactive 115

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Take our interactive product tour to get an impression of CDF-PC in action or sign up for a free trial.

Enterprise 103

Enterprise Data Lake Data Collection Data-driven 103

Sisense

MARCH 16, 2020

It’s estimated that around 65% of the world’s population is already connected and interacts with data every day. It’s so significant that in 2014, the UN established its Data Revolution Group to recommend how data can optimize its role as a force for good in sustainable development. This number is projected to rise to 75% by 2025.

Statistics 72

Statistics Data-driven Big Data Finance 72

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., Selecting the optimal decision boundary, however, is not a straightforward process.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Domino Data Lab

JULY 2, 2019

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. Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14). Software writes Software? SQL and Spark.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

FineReport

SEPTEMBER 13, 2021

It provides a customizable interface and a large number of interactive functions, helping users extract real-time data from a wide range of sources and analyze the root cause of problems by mining relevant and timely information. Affected by the market, from 2012 to 2015, the operating efficiency of the company was not ideal.

Dashboards 52

Dashboards Key Performance Indicator Informatics KPI 52

Rita Sallam

JULY 31, 2017

Data volumes are increasing and becoming more complex to optimize cross-functional digital business decisions. A new paradigm — augmented analytics — has emerged, which we started writing about in 2015 (“Smart Data Discovery: Enabling a New Class of Citizen Data Scientists”). Augmented Analytics is the Future of Data and Analytics.

Marketing 72

Marketing Analytics Machine Learning Data Science 72

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Take our interactive product tour to get an impression of CDF-PC in action or sign up for a free trial. Data Center

Enterprise 68

Enterprise Data Lake Data Collection Data-driven 68

Mark Raskino

FEBRUARY 25, 2019

We hear about digital efficiency, digital workplace, and digital optimization. For a while – maybe up to about 2015, I think most CIOs accepted the situation, shrugged their shoulders and carried on. The systems of record couldn’t cope with the changes the market facing interactive channels were bringing.

IT 49

IT Marketing Technology Interactive 49

AWS Big Data

JULY 26, 2023

Using augmented ML search and generative AI with vector embeddings Organizations across all verticals are rapidly adopting generative AI for its ability to handle vast datasets, generate automated content, and provide interactive, human-like responses. Carl has been with Amazon Elasticsearch Service since before it was launched in 2015.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

This is essentially the same as finding a truly useful objective to optimize. Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. Depending on the average ad quality the different cohorts are exposed to, their willingness to interact with our ads changes over time.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Cloudera

NOVEMBER 15, 2021

For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. The other is less well defined but points towards innovation opportunities to extend, refine and optimize technologies originally designed for structured data, and make them better suited for unstructured data. . And data moves around.

Unstructured Data 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Importantly, modern BI platforms are not just being used for self-service.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

AWS Big Data

JANUARY 24, 2023

For this post, we copy the New York Taxi Data 2015 dataset from a public S3 bucket. Use the demo app When the shell script is complete, you can start interacting with the demo web app: On the Amplify console, under All apps in the navigation pane, choose DemoApp. In terms of cost optimization, you only pay for what you use.

Analytics 61

Analytics Data-driven Management Reporting 61

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003. As the crisis evolved.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

JULY 22, 2013

Most of the frameworks we have also don't optimally capture the complexity of digital marketing and measurement. Truly reflect on whether our marketing and advertising initiatives are broad enough and optimized enough for each customer consideration stage, and finally. Then there is Agile for engineering. Are they a lost cause?

Measurement 164

Measurement Marketing Key Performance Indicator Metrics 164

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!). For the first couple of interactions, give her/him that data. Many reasons. CEOs still don't get it.

Metrics 143

Metrics Reporting Analytics Marketing 143

CIO Business Intelligence

MARCH 22, 2022

He co-founded Room on Call (now Hotelopedia) in 2015, where he set up the complete technology infrastructure, development, product management, and operations. He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. Web Werks India hires Kamal Goel as director of IT.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Domino Data Lab

JULY 9, 2019

Here is a picture of The New York Times on its birthday in 1851, and for the vast majority of its lifespan this is pretty much what the user experience of interacting with The New York Times looks like. or are you looking for me to help you decide on what is the optimal treatment in order to get the outcome you want?”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Occam's Razor

MARCH 30, 2017

Yes, a silo but so much better than 2015. In Analytics and Optimization, almost everything we do today would fit in the category of frequent high-volume tasks. Augmentation is perhaps the most optimal way to think about the near-term future. Consider the implications of ML on your email marketing program.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

The Unofficial Google Data Science Blog

MARCH 31, 2016

Column "a" is an advertiser id, "b" is a web site, and "c" is the 'interaction' of columns "a" and "b". $y$ They provide an interpretable decomposition of variance, and in prediction problems they can supply predictive posterior distributions that can be used in stochastic optimization when uncertainty estimates are a critical component (e.g.

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. 2015) for additional details. Neural machine translation by jointly learning to align and translate , ICLR, 2015.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

FEBRUARY 4, 2019

After about 2015, the firm followed the herd by introducing yet more sophisticated machine learning techniques; however, since the data science team was already swamped with reporting requirements, they introduced a new team of machine learning engineers. Friction ensued. Or something. I took this tangent for two reasons.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66