Alation

AUGUST 19, 2022

First, some sobering statistics about why this work is so important: Global hunger affects 663 million people worldwide. In true Alation fashion, we optimized for productivity, splitting up into teams and making it a race. At Alation, we love to give back to our community. The result? Subscribe to Alation's Blog.

Statistics 52

Statistics Data Processing Optimization IT 52

Sisense

OCTOBER 6, 2020

Smart use of your data can be the key to optimizing processes, identifying new opportunities, and gaining or keeping a competitive edge. Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. The majority (72%) of enterprises that use APIs for model access use models hosted on their cloud service providers. Example: Imagine an AGI system monitors a factory assembly line.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

datapine

MARCH 19, 2019

According to the statistics portal Statista , there are currently around 4.78 Design for ‘bigger fingers’: With mobile platforms especially, people will use their fingers to interact with your dashboards – and of course, peoples’ fingers come in a host of shapes and sizes. We live in a mobile world. Why Are Mobile Dashboards Important?

Dashboards 112

Dashboards Visualization Metrics KPI 112

O'Reilly on Data

SEPTEMBER 12, 2019

In this episode of the Data Show , I speak with Michael Mahoney , a member of RISELab , the International Computer Science Institute , and the Department of Statistics at UC Berkeley. On the theoretical side, his works spans algorithmic and statistical methods for matrices, graphs, regression, optimization, and related problems.

Deep Learning 28

Deep Learning Statistics Data Processing Optimization 28

Domino Data Lab

JULY 10, 2019

This blog also provides code examples with a Jupyter notebook that you can download or run via hosting provided by Domino. Experiment logging and output can be found in a results directory with hyperparameters and summary statistics of the process. An example notebook can be downloaded and/or run via hosting provided by Domino.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

datapine

NOVEMBER 5, 2019

The vast majority of business dashboards offer a customizable interface, a host of interactive features, and empower the user to extract real-time data from a broad spectrum of sources. Often times, statistical analysis is done manually and takes a lot of business hours to complete and provide recommendations for the future.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. These models and proprietary data will be hosted within a secure IBM Cloud® environment, specifically designed to meet regulatory industry compliance requirements for hyperscalers.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

CDW Research Hub

AUGUST 14, 2020

D atabase pruning and optimization. If the database isn’t performing, all the cache optimization in the world isn’t going to get you through Black Friday. Optimization and data pruning should be a well-planned and ongoing activity with additional focus added as the holiday season approaches. WAF and firewall policy audit?

Testing 52

Testing Optimization Strategy Statistics 52

Smart Data Collective

DECEMBER 18, 2020

Hackers have turned to exploiting website optimization platform Google Analytics to steal credit cards, passwords, IP addresses and a whole host of compromising information that can be shared by hacked sites. Image: Infosec ).

Analytics 82

Analytics Broadcasting Measurement Data Processing 82

CIO Business Intelligence

OCTOBER 14, 2022

We spoke to a host of experts, including product managers and those who supervise, hire, and mentor them, about what you should be looking for if you’re hiring a new PM for your team. But in most cases, you’re starting with a dataset that’s not statistically significant — we’re not all building B2C at crazy scale. Take chances.

Management 111

Management IT Consulting Marketing 111

CDW Research Hub

AUGUST 19, 2019

This includes fulfillment providers, CDN, networking and infrastructure, hosting providers (as applicable), security team leadership, payment processors, media asset delivery providers, call centers, monitoring teams, application support teams, application vendor and product teams, marketing and merchandising teams, etc. Are they minified?

Testing 49

Testing Optimization Data Processing Strategy 49

datapine

AUGUST 20, 2019

Processing Big data optimally helps businesses to produce deeper insights and make smarter decisions through careful interpretation. Apart from automation, manual intervention in data ingestion can be eliminated by employing machine learning and statistical algorithms. get rid of expensive hardware, IT databases, and servers.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. At measurement-obsessed companies, every part of their product experience is quantified and adjusted to optimize user experience. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

bridgei2i

MARCH 27, 2020

In the 4th episode of the series, Host Aruna Babu talks to Pritam Kanti Paul – CTO and Co-Founder of BRIDGEi2i Analytics Solutions about the pace and scale of innovation in an AI-led world. In our world, we call them watchtowers, recommenders, optimizers, and converses. PODCAST: AI for the Digital Enterprise. Meet the Speaker.

Enterprise 86

Enterprise Consulting Sales Statistics 86

IBM Big Data Hub

MAY 20, 2024

Search and optimization. This opens up new possibilities to design new drugs to fight emerging diseases within the biotech industry—and more broadly, to discover new materials that can enable carbon capture and optimize energy storage to help industries fight climate change. Simulating nature. This is where IBM can help.

Data Processing 77

Data Processing Optimization Experimentation Enterprise 77

AWS Big Data

MARCH 13, 2024

With optimized configuration, it aims for high recall for the queries. Download the questions From your jump host, download the questions data and upload it to your S3 bucket: stack_name="RAGStack" output_key="S3bucket" export AWS_REGION=$(curl -s [link] | sed 's/(.*)[a-z]/1/') zst`; do zstd -d $F; done rm *.zst

Data Processing 114

Data Processing Dashboards Machine Learning Management 114

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. This is essential to measure and optimize this time, as it has many repercussions on the success of a business. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. How employees can drive transformation and emerging technology adoption: Both are data-heavy endeavors; We know that statistics/math knowledge is related to data science project success. So, become data literate.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Occam's Razor

MAY 22, 2006

There are free tools like the Google Website Optimizer or paid tools like Offermatica , Optimost , and SiteSpect who can help you get going very quickly by hosting all the functionality remotely (think asp model) such as content, test attributes, analytics, statistics. It is easy to optimize crap quickly.

Experimentation 103

Experimentation Testing Optimization Measurement 103

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

CIO Business Intelligence

JANUARY 26, 2023

Tracking costs is just one small part of a system that is constantly gathering statistics and watching for anomalies. Densify’s optimizers focus on cloud resources such as instances, Kubernetes clusters, and VMware machines. It will work across all major (and minor) clouds as well as pods hosted on premises.

Management 116

Management Forecasting Dashboards Optimization 116

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices? What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Jet Global

APRIL 27, 2023

For your tax team to be agile, you’ll need to optimize tax technology and processes so you can both spot data insights and mitigate risk. Manufacturing organizations will succeed if they can adapt quickly to shifting supply chains and maintaining agility in reporting.

Manufacturing 52

Manufacturing Marketing Reporting Risk 52

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities. AWS SCT highlights these objects in blue in the conversion statistics diagram and creates action items with a complexity attached to them. For Host name , if you installed the extraction agent on the same workstation as AWS SCT, enter 0.0.0.0

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

AWS Big Data

NOVEMBER 8, 2023

The 3-node RA3 16XL provisioned cluster that had previously been hosting their warehouse was taking around 12 hours to ingest this data to Amazon Redshift , and Gilead was looking to optimize the data ingestion process in a more dynamic manner. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

datapine

NOVEMBER 13, 2019

Fortunately, we live in a digital age rife with statistics, data, and insights that give us the power to spot potential issues and inefficiencies within the business. There are a host of benefits to procurement reporting. Manage your spend data. click to enlarge**.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

CIO Business Intelligence

SEPTEMBER 22, 2023

These sources include ad marketplaces that dump statistics about audience engagement and click-through rates, sales software systems that report on customer purchases, and websites — and even storeroom floors — that track engagement. It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending.

Management 105

Management Advertising Data Lake Sales 105

Domino Data Lab

MAY 8, 2019

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending.

Management 144

Management Advertising Data Lake Sales 144

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. In today’s hyper-connected digital landscape, it’s possible to collect, organize, and present every single fragment of information – from wait time to staff performance and menu optimization – in a way that will help your restaurant evolve and improve on a continual basis.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

IBM Big Data Hub

MARCH 25, 2022

One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. Intelligent databases with AI and ML can help optimize and self-tune different aspects of a customer’s application without needing developer intervention.

Data-driven 74

Data-driven Data Warehouse Data Processing Marketing 74

Occam's Razor

DECEMBER 3, 2008

Your deep understanding of statistics etc is not required. Some companies have inhouse (hosted) solutions (javascript tag based or log file based). Group Manager, Analytics & Optimization. Understanding ecosystem. Business strategy. Trinity type execution of measurement. Javascript hacking skills are optional.

Analytics 115

Analytics Consulting Metrics Reporting 115

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80