CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. Founded in 2016, Malaysian startup Agritix offers a plantation workforce management solution, dubbed Agritix Workforce.

B2B 105

B2B Contextual Data Deep Learning IoT 105

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Smart Data Collective

JUNE 3, 2021

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. In addition to its user-friendliness, Splunk is also touted for its ability to create visual representations of data (graphs, etc.) It does have its own query language, but it’s well-explained and easy to learn.

Big Data 128

Big Data Software Finance Dashboards 128

CIO Business Intelligence

OCTOBER 18, 2022

In 2016, Major League Baseball’s Texas Rangers announced it would build a brand-new state-of-the-art stadium in Arlington, Texas. Noel had already established a relationship with consulting firm Resultant through a smaller data visualization project.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

CIO Business Intelligence

SEPTEMBER 18, 2024

Even as it designs 3D generative AI models for future customer deployment, CAD/CAM design giant Autodesk is “leaning” into generative AI for its customer service operations, deploying Salesforce’s Einstein for Service with plans to use Agentforce in the future, CIO Prakash Kota says.

Digital Transformation 119

Digital Transformation Experimentation Sales Software 119

Smart Data Collective

SEPTEMBER 1, 2021

Big data has not only helped with the design of these digital signs, but it has also helped enhance the visual outputs that they provide. We talked about this back in 2016 and this trend has only accelerated since. You will have to decide if a perpetual or Subscription-based model is better suited to your organization’s needs.

Data-driven 139

Data-driven Advertising Big Data Cost-Benefit 139

DataRobot

MAY 11, 2021

Founded in 2016 by the creator of Apache Zeppelin, Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala. Data Exploration, Visualization, and First-Class Integration. Stay tuned. DataRobot + Zepl.

Data Science 98

Data Science Cost-Benefit Data Processing Machine Learning 98

CIO Business Intelligence

APRIL 24, 2024

“Digital is a powerful business lever,” says Alessandra Luksch, director of the Digital Transformation Academy Observatory at Politecnico di Milano, which has been mapping trends in ICT spending by Italian organizations since 2016. “In Another element of the digital strategy is a more significant use of BI to analyze and visualize data.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

FineReport

APRIL 15, 2020

D3 memperbolehkan Anda untuk menangani Document Object Model (DOM) berdasarkan data Anda. Saya merekomendasikan Anda untuk menggunakan JavaScript atau R selain Python mengingat library Python-nvd3 terakhir diperbarui di 2016, yang sebenarnya sudah ketinggalan zaman dibandingkan dengan yang lainnya. Laporan Visual atau BI.

Software 97

Software Dashboards Visualization KPI 97

Ms SQL Girl

MAY 19, 2016

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. SQL Server 2016 RC3 : this includes SQL Server R Services that you can install.

Visualization 45

Visualization Predictive Modeling Statistics Reporting 45

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. The second stage focused on building algorithms and models to predict and simulate intricate biological conditions, accelerate discoveries, reduce risks, and optimize the cost-benefit ratio of technological developments using AI solutions.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

The Data Visualisation Catalogue

APRIL 4, 2019

Then in around 2016, I first started using VR hardware and from there I had two thoughts: first, that VR is going to be the most revolutionary technology of my lifetime; and second, that VR can make the process of data analysis and presentation much easier (especially in my job as an investment analyst).

Dashboards 75

Dashboards Predictive Modeling Visualization Modeling 75

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. We are all familiar with linear and logistic regression models.

IT 70

IT Visualization Modeling Uncertainty 70

Ms SQL Girl

MAY 19, 2016

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. SQL Server 2016 RC3 : this includes SQL Server R Services that you can install.

Visualization 40

Visualization Predictive Modeling Statistics Reporting 40

BizAcuity

NOVEMBER 26, 2019

It is widely used for modeling and structuring of unshaped data. It helps in transforming enterprise data into rich visuals. Migrating SSRS 2012/2014/2016 to Power BI is fine. For simple SSRS reports, it is not hard to move the queries over to Power BI and then reproduce the same visuals (tables, charts, etc).

Recreation/Entertainment 84

Recreation/Entertainment Reporting Interactive Data Processing 84

Rita Sallam

JULY 31, 2017

Over the past 10 years or more, visual-based data discovery tools (e.g. 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. IBM Cognos, SAP BusinessObjects).

Marketing 72

Marketing Analytics Machine Learning Data Science 72

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Domino Data Lab

SEPTEMBER 25, 2019

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

FineReport

APRIL 20, 2020

The latest version released is Crystal Reports 2016. All data is divided into strip-shaped models in Crystal Report. Crystal Reports uses a particular cross-tab model to create cross-reports. The single-table model of Crystal Reports cannot support sharding. SAP acquired Crystal Reports in 2007. Reporting fragment .

Reporting 84

Reporting OLAP Dashboards Data mining 84

Depict Data Studio

SEPTEMBER 15, 2020

In 2016, I met evaluator extraordinaire Dana Wanzer at a national conference. On her podcast, we talked about my unexpected shift from being an evaluator to a data visualization designer, along with my tips getting started working for yourself or teaching online. My specialty, though, is data visualization. But here I am.

Visualization 105

Visualization Consulting Dashboards Reporting 105

FineReport

APRIL 27, 2020

Versi terbaru yang dirilis adalah Crystal Report 2016. Semua data akan dibagi menjadi model berbentuk strip dalam Crystal Report. Crystal Report menggunakan model cross-tab tertentu untuk membuat cross-report. Model single-table Crystal Report tidak mendukung sharding. SAP mengakuisisi Crystal Report di tahun 2007.

Reporting 84

Reporting Dashboards OLAP Software 84

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 66

Forecasting Statistics Modeling Software 66

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

AWS Big Data

JULY 25, 2023

licensed, open-source search and analytics suite, comprising OpenSearch (a search, analytics engine, and vector database), OpenSearch Dashboards (a visualization and utility user interface), and plugins that provide advanced capabilities like enterprise-grade security, anomaly detection, observability, alerting, and much more.

Cost-Benefit 80

Cost-Benefit Modeling Management Optimization 80

Cloudera

SEPTEMBER 20, 2022

A “comic book” in this context is a story told visually through a series of images, and optionally (though often) in conjunction with written language, e.g., in speech bubbles or as captions. Deep learning models are data hungry, and state-of-the-art systems like DALL·E 2 are trained with massive data sets of images scraped from the internet.

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

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

CIO Business Intelligence

MARCH 21, 2023

On March 21, CEO Jensen Huang (pictured) told attendees at the company’s online-only developer conference, GTC 2023, about a string of new services Nvidia hopes enterprises will use to train and run their own generative AI models. These 3D designs will be available for use in industrial digital twins running on Nvidia’s Omniverse platform.

Enterprise 52

Enterprise Testing Modeling Data Processing 52

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. Rinse, lather, repeat—probably each week.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Insight

MAY 20, 2020

When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program. The tradeoff is that you’d have to follow Spark’s programming model and you wouldn’t have the same amount of control as if you built the infrastructure yourself. Companies, such as Looker , use NiFi.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

Smarten

SEPTEMBER 9, 2024

The Definition and Evolution of the Citizen Data Scientist Role The world-renowned technology research firm, Gartner, first introduced the concept of the Citizen Data Scientist in 2016. Since then, the idea has grown in popularity, and the role has grown in importance and prominence. ‘To Who is a Citizen Data Scientist ?

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

BizAcuity

NOVEMBER 27, 2019

It is widely used for modeling and structuring of unshaped data. It helps in transforming enterprise data into rich visuals. Migrating SSRS 2012/2014/2016 to Power BI is fine. For simple SSRS reports, it is not hard to move the queries over to Power BI and then reproduce the same visuals (tables, charts, etc).

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

BizAcuity

NOVEMBER 27, 2019

It is widely used for modeling and structuring of unshaped data. It helps in transforming enterprise data into rich visuals. Migrating SSRS 2012/2014/2016 to Power BI is fine. For simple SSRS reports, it is not hard to move the queries over to Power BI and then reproduce the same visuals (tables, charts, etc).

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

Smarten

SEPTEMBER 9, 2024

Planning and Preparing for a Citizen Data Scientist Initiative The term, ‘Citizen Data Scientist’ has been around since 2016, when the world-renowned technology research firm, Gartner, coined the phrase. Be sure the solution you choose has all the features you need and will be easy for your users to learn and adopt.

KPI 52

KPI Consulting Business Intelligence Predictive Modeling 52

Smarten

JANUARY 3, 2019

Citizen Analysts create and generate data models and use sophisticated analytics that are supported by easy-to-use interactive BI dashboards. By definition, Citizen Analysts are not data scientists, or professional analysts or IT staff. ’ Clearly, Citizen Analysts are here to stay!

Business Intelligence 40

Business Intelligence Statistics Interactive Data Science 40

IBM Big Data Hub

MARCH 8, 2024

The ecosystem has become more complex as business models advance and new ecommerce trends appear. In recent years, for instance, ecommerce companies based on a subscription model—like Blue Apron and BarkBox— have grown over 1,000%. The ecommerce market has grown exponentially over the last decade.

Consulting 79

Consulting Marketing Sales Data Processing 79

Domino Data Lab

OCTOBER 23, 2019

This chapter will explore the numbers behind the numbers using ML and then creating an API to serve out the ML model. This means covering details like setting up your environment, deployment, and monitoring, in addition to creating models on clean data. Phrasing the Problem. questions to ask. Gathering the Data. In Figure 6.1,

Statistics 59

Statistics Machine Learning Testing Modeling 59

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52