Cloudera

SEPTEMBER 10, 2021

At the Internal Revenue Service, decades’ worth of data exceeds even the most cutting-edge processing capabilities. Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. Pairing High-Tech Keys to Unlock the Power of Data.

Machine Learning 66

Machine Learning Statistics Data-driven Big Data 66

IBM Big Data Hub

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. billion by 2030.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

datapine

AUGUST 21, 2019

You can’t believe this heavyweight, the CEO and sole owner of multiple restaurant franchises, has given you the time of day. Tilman sits down, settles himself, and glances at the clock. Well friend,” he says, “I have about three or four minutes before I have to get out of here. What do you wanna know?”. Without further ado, let’s get started.

Sales 235

Sales Dashboards KPI Visualization 235

IBM Big Data Hub

JULY 19, 2023

The explosion in digital data—in combination with declining availability of skilled and willing human resources to ingest and process the digital data in a compliant manner—is forcing life sciences organizations to explore AI, machine learning and now generative AI technologies.

Consulting 65

Consulting Machine Learning Manufacturing Optimization 65

Alation

JULY 30, 2021

To make migration successful, leaders must “ensure there is a data governance process in place,” CIO Carrie Shumaker states. It has made hybrid and remote work a reality for all employers, fundamentally changing the space-time continuum. This means that human band aids for business processes no longer work.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

Ontotext

AUGUST 5, 2020

These fundamental principles state that all research objects should be Findable, Accessible, Interoperable and Reusable (FAIR) both for machines and for people. What is FAIR data? Each of the four FAIR principles calls for data and metadata to be easily found, accessed, understood, exchanged and reused. Why Is FAIR Data Important?

Metadata 52

Metadata Insurance Manufacturing Data Integration 52

Insight

APRIL 16, 2020

This, in general, makes it difficult for industry professionals to separate signal from noise. This, in general, makes it difficult for industry professionals to separate signal from noise. Part 1: Mental Model There is currently a lot of hype around cryptocurrencies, blockchain technology, and decentralized consensus systems.

Technology 56

Technology Risk Publishing Modeling 56

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

I'd like to share the contents of that document in this blog post. Process : Recommendations on how you approach your data, what questions to ask, and what things to check. They can be canaries in the coal mine for more fundamental problems with your analysis. Why has this document resonated with so many people over time?

Metrics 107

Metrics Measurement Statistics Data Collection 107

Insight

DECEMBER 30, 2019

Wikipedia In our last blog , we walked through a super fast introduction of “vanilla” flavored neural networks. The CNN: A fundamental shift in how we approach computer vision CNNs are an exciting flavor of neural net. The CNN: A fundamental shift in how we approach computer vision CNNs are an exciting flavor of neural net.

Visualization 72

Visualization Modeling Machine Learning IT 72

Cloudera

NOVEMBER 18, 2020

What a fantastic 24-hours it has been here at Cloudera. During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. Streamed to hundreds of people around the globe, we were able to come together to celebrate some incredible successes. .

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

Sisense

MAY 27, 2021

AI is absolutely fundamental to this. Spending on AI is forecast to double over the span of four years, growing from just over $50 billion in 2020 to a whopping $110 billion in 2024. According to analyst firm IDC, the industry that will spend the most on AI is retail. billion by 2027! AI: Better decisions, faster.

Forecasting 52

Forecasting Sales Analytics Marketing 52

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. The rate at which data is generated has increased exponentially in recent years.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. The solution? To keep abreast of current changes – at least at a level of basic understanding. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords! Computer Vision.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

FEBRUARY 22, 2024

Artificial intelligence (AI) is transforming society, including the very character of national security. However, the roadblocks to scaling, adopting, and realizing the full potential of AI in the DoD are similar to those in the private sector. These are table stakes for the DoD or any government agency.

Metadata 102

Metadata Measurement Risk Modeling 102

Alation

FEBRUARY 13, 2020

Fundamentally, what we see is it used to be a problem of quantity. The problem becomes finding development data for your need, understanding and putting it into context, and most fundamentally, trusting that it’s actually telling you a true story about the world. A transcript is also available below.

Dashboards 52

Dashboards Data-driven Visualization Data Quality 52

Occam's Razor

AUGUST 11, 2015

If you are a regular reader of this blog, you are quite familiar with this sentiment. Many custom reports are wrong because we mess up the fundamental data model in analytics. Standard reports stink. Custom reports rock! I've expressed it often. :). The primary reason is simple: You are unique. Your business is unique. Seven more!

Reporting 158

Reporting Analytics Metrics Key Performance Indicator 158

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

It also owns Google’s internal time series forecasting platform described in an earlier blog post. There are some problems where not only should the data scientist be heavily involved, but the data scientist should also involve non-data scientist stakeholders in the forecasting process. Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Occam's Razor

DECEMBER 9, 2013

Your ladder might look a little different, but I hope the process I follow will help you make the hard choices most relevant for your company and the evolutionary position it finds itself in. In many cases, it is a tendency we have to learn to restrain. In other words: Evolution. Said another way, digital revolutions more often than not fail.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

MAY 18, 2010

way of identify actionable insights is on display in pretty much every single blog post I write. One of my earliest blog posts extolled the glorious virtues of segmentation: Excellent Analytics Tip#2: Segment Absolutely Everything. My love for segmentation as the primary (only?) Of course Yahoo! The Problem. All visits. Total revenue.

Analytics 123

Analytics Key Performance Indicator Metrics Measurement 123

Occam's Razor

AUGUST 28, 2017

Why the scale at which we can (/have to) solve the problems is already well beyond the grasp of the fundamental strategy most companies follow: We have a bigger revenue opportunity, but we don’t know how to take advantage? Some of these possibilities have already been realized (more on this later in the post). You won’t regret it.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Occam's Razor

FEBRUARY 7, 2011

After 416,350 words in posts and 845,128 words in comments on this blog, thus far, there is always more to explore, illuminate and share. It is a great way to stay connected to what's most important to you (and keep the blog and its content relevant!). Thank you. I'm going to try and answer all of them here. Let's go!

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

FEBRUARY 9, 2015

Regular readers of the blog know of my deep love for competitive intelligence analysis. My first blog post on the topic of CIA was on 14th Aug 2006! My first blog post on the topic of CIA was on 14th Aug 2006! I strongly encourage you to read this blog post: Competitive Intelligence Data Sources & Best Practices.

Metrics 155

Metrics Reporting IT Advertising 155

Alation

AUGUST 26, 2021

IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. These questions are: Who is using what data? When is data being accessed, and when was it last updated?

Metadata 64

Metadata Data Governance Dashboards Software 64