O'Reilly on Data

APRIL 2, 2019

A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. So, why is this new open source project resonating with data scientists and machine learning engineers?

Machine Learning 270

Machine Learning Modeling Data Science Software 270

CIO Business Intelligence

JANUARY 7, 2025

What terminology should you use? Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. Some argue gen AIs emergence has rendered digital transformation pass. AI transformation is the term for them.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

JANUARY 9, 2025

What began with chatbots and simple automation tools is developing into something far more powerful AI systems that are deeply integrated into software architectures and influence everything from backend processes to user interfaces. Instead, users can simply describe what they want to fill a selected area of the image.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Take, for example, a recent case with one of our clients.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. We are excited to see what this new year will bring. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

MARCH 11, 2025

Strong domain expertise, solid data foundations and innovative AI capabilities will help organizations accelerate business outcomes and outperform their competitors. The key to driving real impact lies in seamlessly integrating data and AI into the way businesses work, said Rohit Kapoor, chairman and CEO, EXL.

Enterprise 108

Enterprise Insurance Forecasting Optimization 108

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

APRIL 30, 2025

So what are these specific workflows that more autonomous AI can supercharge? And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization.

IT 139

IT Sales Cost-Benefit Data-driven 139

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. Use ML to unlock new data types—e.g.,

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

DataKitchen

AUGUST 5, 2021

In our last post, we summarized the thinking behind the data mesh design pattern. In this post (2 of 5), we will review some of the ideas behind data mesh, take a functional look at data mesh and discuss some of the challenges of decentralized enterprise architectures like data mesh. Data Mesh Architecture Example.

Enterprise 246

Enterprise Management Data Processing Analytics 246

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 279

Machine Learning Software Metadata Testing 279

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

O'Reilly on Data

AUGUST 24, 2018

Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018. Democratizing data. Tracy Teal explains how to bring people to data and empower them to address their questions. Watch " Democratizing data.".

Machine Learning 162

Machine Learning Data Science Data-driven Enterprise 162

AWS Big Data

NOVEMBER 29, 2024

Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

O'Reilly on Data

APRIL 12, 2019

Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data. The Strata Data Conference in San Francisco was filled with speakers talking about opportunity. It's a necessary tension we'll need to understand as we continue on the journey into the age of data.

Risk 206

Risk Machine Learning Sales Data Governance 206

datapine

DECEMBER 4, 2019

Predictive Analytics: What could happen? Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. The accuracy of the predictions depends on the data used to create the model. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

JANUARY 20, 2023

Truly data-driven companies see significantly better business outcomes than those that aren’t. But to get maximum value out of data and analytics, companies need to have a data-driven culture permeating the entire organization, one in which every business unit gets full access to the data it needs in the way it needs it.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

CIO Business Intelligence

JANUARY 14, 2025

The what: Strategic business alignment Shawn McCarthy In an environment where you need to balance the company vision and strategic plan with delivering near-term value while also having a stable and sustainable technology ecosystem, evolving enterprise architecture is key. Most importantly, architects make difficult problems manageable.

Enterprise 119

Enterprise Technology Metrics Measurement 119

Rocket-Powered Data Science

JULY 14, 2023

We discussed in another article the key role of enterprise data infrastructure in enabling a culture of data democratization, data analytics at the speed of business questions, analytics innovation, and business value creation from those innovative data analytics solutions.

Analytics 188

Analytics Big Data Strategy Enterprise 188

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. What do you mean by democratizing? A rare breed.

Data Lake 112

Data Lake Data Warehouse Dashboards Enterprise 112

CIO Business Intelligence

DECEMBER 18, 2024

But whats new, according to Amalgam Insights chief analyst Hyoun Park, is Agent Builders ability to suggest agent topics and instructions. However, Salesforce isnt the only agentic AI provider that is taking the approach of launching basic agents which could be tweaked to suit a variety of use cases.

Enterprise 98

Enterprise IT Sales Metadata 98

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. Data takes a long journey.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

As I recently noted , the term “data intelligence” has been used by multiple providers across analytics and data for several years and is becoming more widespread as software providers respond to the need to provide enterprises with a holistic view of data production and consumption.

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

CIO Business Intelligence

JUNE 19, 2024

At the same time, it also means that our employees gain an understanding of what AI can contribute to the tasks they perform every day.” What should we focus on? What major global use cases do we see that we think can have a big impact?” We’ve gone from having 20% of our business on SAP at the end of 2022, to 77% today.”

Modeling 108

Modeling Testing Data-driven Technology 108

CIO Business Intelligence

OCTOBER 16, 2023

Pick any tech trend that takes business by storm—the Internet, smartphones, mobile applications—and what initially started as hype, which we now recognize is vastly understated. Yet the CAIO position merits serious consideration because GenAI’s rise has democratized AI capabilities across business lines—in every organization.

IT 143

IT Risk Software Forecasting 143

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. What Is A Business Intelligence Strategy? Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Cloudera

MAY 3, 2021

We have an even more simple view that to achieve these solid and high return on investment outputs, you need to focus on data – as business insights, decisions, prescriptive and preventative recommendations start and end with data. . data is generated – at the Edge. Benefits of Streaming Data for Business Owners.

Cost-Benefit 103

Cost-Benefit Digital Transformation Data Lake Enterprise 103

Juice Analytics

DECEMBER 16, 2021

Low user adoption for data solutions is the problem that won’t go away. It is the… …sticky-wicket of Cricket …‘Transformers’ of Sci-Fi movies …barnacle of boats …‘Two and a Half Men’ of TV The data and analytics industry has struggled for decades to get more people in organizations to use the data. Invest in data tooling ?Gather

Analytics 140

Analytics Consulting Statistics Visualization 140

CIO Business Intelligence

AUGUST 3, 2022

This list, which you all know and love, defines what CEOs currently want in their CIOs. But to my mind, the list does not represent what CEOs actually need from their CIOs. They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.”

Finance 145

Finance IoT Digital Transformation Sales 145

Dataiku

SEPTEMBER 7, 2021

The concept of data democratization across the enterprise (meaning putting data into the hands of the many and not just the elite few, like data scientists or even analysts) is a big part of what we do at Dataiku… but it’s actually restrictive. Well, because the story is actually much bigger than that.

Machine Learning 104

Machine Learning Modeling Enterprise Analytics 104

Domino Data Lab

MAY 31, 2022

What is Data Governance? Data governance refers to the process of managing enterprise data with the aim of making data more accessible, reliable, usable, secure, and compliant across an organization.

Data Governance 98

Data Governance Data Quality Enterprise Management 98

CIO Business Intelligence

SEPTEMBER 12, 2024

Zoho has updated Zoho Analytics to add artificial intelligence to the product and enables customers create custom machine-learning models using its new Data Science and Machine Learning (DSML) Studio. are across four key areas, the company said: data management, AI, data science and machine learning, and extensibility.

Analytics 131

Analytics Diagnostic Analytics Machine Learning Forecasting 131

Cloudera

AUGUST 17, 2022

?. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Analytics 116

Analytics Data-driven Machine Learning Data Science 116

Alation

AUGUST 9, 2021

In her current role as VP of UX, Design & Research at Sigma Computing, she deploys human-centric design to support data democratization and analysis. Less than 40 percent of Fortune 1000 companies are managing data as an asset and only 24 percent of executives consider their organization to be data-driven.

Analytics 98

Analytics Data-driven Data Analytics Contextual Data 98