Cloudera

OCTOBER 31, 2023

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. If you find yourself in this situation, I highly recommend tracking average candy output per home each year.

Data mining 80

Data mining Machine Learning Data Science Sales 80

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 133

Machine Learning Data Science Management Enterprise 133

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” Everyone wants it.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Cloudera

OCTOBER 26, 2021

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. If you find yourself in this situation, I highly recommend tracking average candy output per home each year. do you like candy A or B better). How to avoid the bad candy.

Data mining 104

Data mining Machine Learning Data Science Sales 104

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. A successful AI strategy should act as a roadmap for this plan.

Strategy 78

Strategy Business Objectives Cost-Benefit Consulting 78

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. Would your job still be there in a year? The average salary for data and AI professionals who responded to the survey was $146,000. The average annual salary for employees who worked in data or AI was $146,000.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

Sisense

APRIL 15, 2021

It’s the present, too, but you already know that. Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. The good news is that augmented analytics will make your life a lot easier!

Analytics 98

Analytics Data Science Modeling Machine Learning 98

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. When you factor in the requirements of a business-critical machine learning model in a working enterprise environment, the old cat-herding meme won’t even get a smile. Let’s use an example business problem to illustrate the four steps of the data science lifecycle.

Data Science 75

Data Science Testing Modeling Publishing 75

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 111

IT Data Architecture Unstructured Data Big Data 111

Juice Analytics

MARCH 11, 2021

At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. Sensor Data Analysis Examples. The Best Way to Achieve Both Accuracy and Cost Control.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Alation

MARCH 8, 2022

When a data analyst exclaims, “I’ll just do it myself!”, They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. Business users gain a complete understanding of the available data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

Sisense

APRIL 29, 2021

You know users are starved for time and face too many competing priorities. In this article, we’ll explore three ways you can build a more personalized analytics experience for your customers and end users. The right data visualization will take your custom analytics to the next level.

Analytics 52

Analytics Dashboards Machine Learning Visualization 52

Cloudera

AUGUST 8, 2022

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ).

Snapshot 92

Snapshot Data Warehouse Machine Learning Cost-Benefit 92

Sisense

DECEMBER 23, 2019

Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways this pioneering technology is changing the world. Does your company actually have the tools and processes to use these innovations?

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

DataRobot Blog

JULY 27, 2022

In this technical post, we’ll focus on some changes we’ve made to allow custom models to operate as an algorithm on Algorithmia, while still feeding predictions, input, and other metrics back to the DataRobot MLOps platform —a true best of both worlds. Data Science Expertise Meets Scalability. But have no fear!

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

Cloudera

AUGUST 6, 2021

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Strategy and culture are core components of a data driven organization .

Data-driven 104

Data-driven B2B Data Strategy Strategy 104

Alation

MARCH 1, 2023

It’s the basis for cryptocurrency, but also has applications in virtually every industry, from finance (capital markets) to retail (supply chain management) and health sciences (medical drug development). How are blockchain organizations tackling data management? What is your data strategy and how did you begin to implement it?

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . Big data and AI amplify the problem. “If If y ou have good intentions, you can make it very good. If you have bad intentions, you can make it very bad,” said Michael Stiefel, a principal at Reliable Software Inc. Conscious Transparency.

Machine Learning 115

Machine Learning Big Data Consulting Technology 115

Cloudera

SEPTEMBER 17, 2020

Today’s data tool challenges. They also did not have a good way to know when and why they would need additional capacity on their own, or any other telecom company’s networks. A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation.

Experimentation 83

Experimentation Data Warehouse Dashboards Visualization 83

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces.

Advertising 75

Advertising Machine Learning Data Architecture Cost-Benefit 75

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

Sisense

MAY 13, 2021

According to a NewVantage 2020 survey on data and analytics, less than 27% of organizations have successfully adopted analytics, while 73% want to use data to understand their business better and 72% want to use analytics to improve their products and services. Hopefully you can see ways to improve your own offerings with data.

Reporting 59

Reporting Analytics Dashboards Key Performance Indicator 59

Sisense

JUNE 12, 2019

At Sisense, our mission is to empower users of all kinds with deep insights from even the most complex data. In addition, providing a world-class analytics platform requires a deep understanding of how to best leverage AI/ML to support the needs of all users from the novice to the most technical. Living in a World of Big Data.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Data Science 101

JANUARY 19, 2021

Deb joined to talk about goal setting and her latest book, Your Goal Guide. Get Yourself a copy of Deb’s latest book, Your Goal Guide: A Roadmap for setting, planning, and achieving your goals. 34:15 Is 2021 too late to start a blog? 41:20 What career advice would you have for the teenage version of yourself?

Recreation/Entertainment 98

Recreation/Entertainment IT Data Science Management 98

Alation

FEBRUARY 13, 2020

This article is based on a podcast Ron Powell conducted with Sharon Graves, Enterprise Data and BI Tools Evangelist for GoDaddy, about data curation, data stewardship, and data catalogs. His focus is on business intelligence, analytics, big data, and data warehousing. Sharon Graves: Certainly.

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What exactly is DataOps ?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. A year after the first web servers became available, how many companies had websites or were experimenting with building them? As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI.

Enterprise 271

Enterprise Modeling Testing Reporting 271

Rita Sallam

JULY 22, 2016

There are pivot moments in life and in business where you just know – everything is about to change. Remember the first time you used the internet, email, a Mac, an ipod, iphone or ipad, or wore Reeboks? A modern BI platform supports IT-enabled analytic content development. You can see it On Demand here.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

O'Reilly on Data

MARCH 23, 2023

A quick scan of the web will show you lots of things that ChatGPT can do. Many of these are unsurprising: you can ask it to write a letter, you can ask it to make up a story, you can ask it to write descriptive entries for products in a catalog. It’s clear that ChatGPT is not your run-of-the-mill automated chat server.

IT 262

IT Modeling Testing Risk 262

O'Reilly on Data

OCTOBER 13, 2020

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. From a technical perspective, it is entirely possible for ML systems to function on wildly different data.

Management 244

Management Metrics Machine Learning Modeling 244

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. Whether or not that’s how your organization works, every AI PM must consider how their products relate to these phases. Though this is not an exhaustive list, most AI products pass through these stages.

Management 363

Management Experimentation B2B Machine Learning 363

Cloudera

SEPTEMBER 23, 2022

In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). If you missed it, you can read up about it here. Your data can grow infinitely.

Data Governance 107

Data Governance Strategy Enterprise Cost-Benefit 107

IBM Big Data Hub

SEPTEMBER 7, 2023

But AI today is an incredibly dynamic field, and AI platforms must reflect that dynamism, incorporating the latest advances to meet the demands of today and tomorrow. This is why we at IBM continue to add powerful new capabilities to IBM watsonx , our data and AI platform for business. 13b.instruct and Granite.13b.chat

Modeling 105

Modeling Risk Unstructured Data Enterprise 105

datapine

OCTOBER 30, 2019

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. The business intelligence industry has been revolutionized over the past decade and data reports are in on the fun. Read on to see why data reports matter and our top data reporting tips.

Reporting 127

Reporting Visualization Dashboards KPI 127