CIO Business Intelligence

JULY 10, 2024

Applying GenAI to cybersecurity challenges To understand what those use cases are, let’s walk through the ways in which GenAI applies to four key cybersecurity domains: security operations, application security, cloud security, and phishing mitigation. Vendors like Google and Elastic currently offer this feature in their cybersecurity tools.

Risk 123

Risk Marketing Metadata Technology 123

Alation

SEPTEMBER 30, 2022

The State of the Cloud 2022 report by Bessemer Venture Partners offers an explanation. In this blog, I’ll talk about the data catalog and data intelligence markets, and the future for Alation. There’s no better example of this than our Alation Cloud Service for Snowflake. Why are we seeing more unicorns?

Measurement 92

Measurement Metrics Data Governance Sales 92

Occam's Razor

JULY 12, 2010

In this blog post I want to share four analytics tools that I have been playing with for a while… tools that solve an interesting problem… tools that point to what might be in terms of our near term analytical future… and in almost all cases they don't even know! It measures how often a blog post is tweeted/retweeted.

Analytics 97

Analytics Measurement Metrics KPI 97

Cloudera

JUNE 1, 2021

Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. This means we can double down on our strategy – continuing to win the Hybrid Data Cloud battle in the IT department AND building new, easy-to-use cloud solutions for the line of business.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. This category describes the unique ability of CDP to accelerate deployment of use cases (and, as a result, the associated business value) by: . Business value acceleration.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

IBM Big Data Hub

MAY 1, 2023

Google Cloud Platform (GCP) enables customers to build, manage and deploy modern, scalable applications to achieve digital business success. However, due to its complexity, achieving operational excellence in the cloud is difficult. Let’s review how IBM Turbonomic helps customers optimize their GCP cloud costs.

Optimization 79

Optimization ROI Consulting Dashboards 79

Cloudera

MAY 24, 2022

At Cloudera we’re building the world’s only hybrid data platform that’s founded on open source and truly hybrid. Well, not only does it seamlessly support on-premises and cloud-based deployments alike, but uniquely, it is cloud vendor agnostic, allowing multi-cloud strategies to thrive. . What do we mean by truly hybrid?

Testing 80

Testing Enterprise Software Modeling 80

IBM Big Data Hub

DECEMBER 20, 2023

Hybrid cloud has become the IT infrastructure of choice, providing the interoperability and portability organizations need to access data where and when they need it. To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives.

Strategy 93

Strategy Cost-Benefit Digital Transformation Optimization 93

IBM Big Data Hub

MARCH 20, 2024

Public cloud adoption has soared since the launch of the first commercial cloud two decades ago. Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives.

Internet of Things 88

Internet of Things Cost-Benefit Data Processing IoT 88

Cloudera

JANUARY 3, 2019

On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. Lastly, but perhaps most importantly, the cloud has become increasingly important to enterprises of all sizes and has set a new bar for ease of use.

Machine Learning 75

Machine Learning IoT Data Warehouse Enterprise 75

BizAcuity

NOVEMBER 22, 2022

Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization. For this reason, Snowflake is often the cloud-native data warehouse of choice. Then it stages them into a Snowflake cloud storage location.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Occam's Razor

JULY 15, 2014

We need to create two categories of dashboards. For both categories, especially the valuable second kind of dashboards, we need words – lots of words and way fewer numbers. You can also create CDPs using Google Analytics/Adobe/WebTrends or your favorite BFF. I believe the solution is multi-fold (and when is it not? : )).

Dashboards 160

Dashboards Key Performance Indicator Snapshot Slice and Dice 160

Cloudera

NOVEMBER 2, 2020

As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. All of the above, in one integrated and secured platform. One other example highlights this trend. General Purpose RTDW.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

DataRobot Blog

NOVEMBER 3, 2022

Data scientists have used the DataRobot AI Cloud platform to build time series models for several years. Recently, new forecasting features and an improved integration with Google BigQuery have empowered data scientists to build models with greater speed, accuracy, and confidence. Scale Predictions with Segmented Modeling.

Forecasting 52

Forecasting Sales Modeling Data-driven 52

Alation

AUGUST 31, 2021

In the previous blog , we discussed how Alation accelerates your journey to the Snowflake Data Cloud. In this blog, we will discuss how Alation provides a platform for data scientists and analysts to complete projects and analysis with speed. How will you support your key users in the Data Cloud? Understandable.

Dashboards 52

Dashboards Recreation/Entertainment Machine Learning Data-driven 52

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. It also owns Google’s internal time series forecasting platform described in an earlier blog post. Our team does a lot of forecasting. Our team does a lot of forecasting.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

erwin

APRIL 18, 2019

GDPR encompasses all categories of “personal data,” with no distinctions. GDPR recently resulted in a record fine for Google. Remember the Facebook hearings and now inquiries into Google and Twitter, for example? Does the CCPA exclude anything that GDPR doesn’t? . Data Governance for Regulatory Compliance. A Regulatory EDGE.

Data Governance 81

Data Governance Metadata Data Collection Data-driven 81

Sisense

OCTOBER 6, 2020

Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data. This means it describes the characteristics or qualities of data units, such as “what type,” “which category,” “who” (or “which persona”).

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Insight

MARCH 25, 2020

In this blog, I will share how I built Pair , a scalable web application that takes in a product image, analyzes its design features using convolutional neural network, and recommends products in other categories with similar style elements. Multiple such index libraries are generated for different furniture categories.

Deep Learning 53

Deep Learning Metrics Data Processing Interactive 53

IBM Big Data Hub

OCTOBER 12, 2023

Our collective understanding of realized AI and theoretical AI continues to shift, meaning AI categories and AI terminology may differ (and overlap) from one source to the next. However, the types of AI can be largely understood by examining two encompassing categories: AI capabilities and AI functionalities. IBM watsonx.ai

Machine Learning 67

Machine Learning Deep Learning Interactive Modeling 67

IBM Big Data Hub

OCTOBER 16, 2023

Filtering email ML algorithms in Google’s Gmail automate filtering customers’ email into Primary, Social and Promotions categories while also detecting and rerouting spam to a spam folder. Some companies also set up chatbots on Slack, using ML to answer questions and requests.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

BizAcuity

APRIL 1, 2023

Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization. For this reason, Snowflake is often the cloud-native data warehouse of choice. Then it stages them into a Snowflake cloud storage location.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

Alation

FEBRUARY 13, 2020

As more and more organizations move towards self-service to create value from the sheer volume of data at their disposal, data catalogs have emerged as the operating system for the modern data platform. Subscribe to Alation's Blog. Duncan, December 13, 2017. 3 AC/DC, the Australian Rock Band: Wikipedia.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Occam's Razor

FEBRUARY 9, 2015

Half-way through this post, you'll seriously wonder why you've spent so much time obsessing with Adobe/Google Analytics/Chartbeat or other web analytics tool. 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!

Metrics 156

Metrics Reporting IT Advertising 156

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. People would say, “You know, Google, Amazon, maybe. Now, Google is spending what, 10 figures marketing TensorFlow? Apologies to Google if I got that wrong? ” That was the origin of cloud, the server farms.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services. “So [if] they want to deploy it on a large public cloud, we’ll do it there.

Cost-Benefit 94

Cost-Benefit Modeling Data-driven Enterprise 94

Jet Global

JULY 17, 2023

Modern data visualization platforms offer countless options. Bar vs. Stacked Chart Bar charts are best used when showing comparisons between categories. One axis of the chart shows the specific categories being compared, and the other axis represents discrete values. These charts are much clearer than an icon.

Visualization 52

Visualization Dashboards Reporting Enterprise 52

Jet Global

MARCH 4, 2024

Read our blog for more details information on CSRD requirement timelines. Our solution seamlessly integrates and consolidates data from your ERP, CRM, sustainability platforms, and even supplier spreadsheets, eliminating the need for manual processes and fragmented data storage.

Reporting 52

Reporting Data-driven Metrics Software 52