O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. Though these concepts may be simple to understand, they aren’t as easy in practice.

Marketing 362

Marketing Experimentation Metrics Testing 362

AWS Big Data

JUNE 29, 2023

Tracking such user queries as part of the centralized governance of the data warehouse helps stakeholders understand potential risks and take prompt action to mitigate them following the operational excellence pillar of the AWS Data Analytics Lens.

Data Warehouse 60

Data Warehouse Dashboards Testing Visualization 60

CIO Business Intelligence

NOVEMBER 16, 2023

Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.

Modeling 139

Modeling Enterprise Marketing Sales 139

Smart Data Collective

JANUARY 30, 2023

AI technology is becoming increasingly important for software developers. We talked about some of the ways software developers can create successful AI applications. However it is equally important to use existing AI tools strategically to improve the quality of the software app lications that you are trying to design.

Software 96

Software Strategy Testing Advertising 96

Cloudera

APRIL 9, 2021

Predictive Analytics – AI & machine learning. Security & Governance. And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Here are the key stages: . Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103

CIO Business Intelligence

APRIL 11, 2022

These are the pieces or smaller projects you can achieve in a couple of months, working step by step toward your strategic bigger picture. In our view, the three most important areas for ICT focus in 2022-2023 are security , automation , and data insights. But it doesn’t have to be this way.

Digital Transformation 97

Digital Transformation Internet of Things Strategy IoT 97

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 93

Data Lake Snapshot Big Data Data-driven 93

Smart Data Collective

SEPTEMBER 20, 2021

It is important to use the latest data analytics and AI technology to counter these threats if at all possible. The great thing about living in a world governed by advances in big data technology is that it was possible to offer these services remotely. Business Owners Lean on Big Data to Deal with Cybercrime Threats.

Data-driven 121

Data-driven Strategy Big Data Software 121

O'Reilly on Data

MAY 25, 2021

There have also been colorful conversations about whether GPT-3 can pass the Turing test, or whether it has achieved a notional understanding of consciousness, even amongst AI scientists who know the technical mechanics. Three ideas to set the stage: OpenAI is not the only organization to have powerful language models.

Modeling 346

Modeling Marketing Testing Machine Learning 346

bridgei2i

MARCH 11, 2021

Road to Automation – Partnering with Enterprise AI Companies. The commercial model of an enterprise AI company is simple – help technologically handicapped businesses make the most of AI technology. For centuries, enterprises have depended on new technology to stay a few steps ahead of their competitors.

Enterprise 52

Enterprise Unstructured Data Machine Learning Sales 52

CIO Business Intelligence

APRIL 4, 2022

Clean Harbors is one such entity taking a hybrid approach to its digital transformation to ensure high availability of key systems while still gaining access to advanced AI and automation capabilities where necessary in the cloud. Our journey into the digital world started when we had the desire to start doing AI and RPA.

Digital Transformation 98

Digital Transformation Snapshot Cost-Benefit Modeling 98

Alation

JUNE 14, 2021

In this post, I will touch on three things. And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. A data fabric automates data discovery, governance and consumption, enabling enterprises to use data to maximize their value chain. That solution is the data fabric.

Management 57

Management Data Quality Metadata Data Integration 57

CIO Business Intelligence

OCTOBER 13, 2022

To go deeper, let’s break down the pressing need for a data-first approach in three ways: 1. Fortunately, there’s also a simple solution: go data-first. Data represents a store of value and a strategic opportunity for enterprises across all industries. Or are they? Well, some are. Let’s look at some real numbers. How much complexity?

Digital Transformation 111

Digital Transformation Strategy Marketing Cost-Benefit 111

AWS Big Data

MARCH 10, 2023

In this post, we show how you can build a serverless transactional data lake with Apache Iceberg on Amazon Simple Storage Service (Amazon S3) using Amazon EMR Serverless and Amazon Athena. Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

IBM Big Data Hub

MARCH 27, 2024

Still others are wowed by the promise of artificial intelligence (AI) and automation that hyperscale data centers offer. Here’s the situation: You’re the CIO or similarly empowered representative of an organization. Your organization already has an ambitious agenda in mind for whatever IT infrastructure you wind up choosing.

Cost-Benefit 109

Cost-Benefit Internet of Things Recreation/Entertainment Marketing 109

CIO Business Intelligence

JANUARY 4, 2023

Without any of those three, you will face an uphill battle.” Companies across industries are committing to maximizing sustainability within their operations — and IT is at the heart of most of these efforts. In its Worldwide Sustainability/ESG 2023 Predictions , analyst firm IDC sees digital and sustainability transformations converging.

IT 131

IT Internet of Things Reporting Cost-Benefit 131

Andrew White

OCTOBER 22, 2021

MDM and/or D&A Governance and Stewardship 26. In terms of the most popular visuals/slides we explored during the week, here are the top three. It often didn’t matter the opening situation since everyone needs a guardrail in which to organize next steps. I then wrap it all up with a summary of my 1-1s. Automotive 1.

IT 52

IT Data Lake Strategy Data Science 52

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves.

Machine Learning 79

Machine Learning Visualization Data Science Optimization 79

Ontotext

APRIL 3, 2024

Read about the latest use cases and trends in the Financial Services industry and learn how Generative AI and LLMs complement with key capabilities of knowledge graphs. It also can fuel various AI applications and we know that now everyone is interested in AI. So, let’s start with our first question. A graph can do that.

Technology 59

Technology Risk Digital Transformation Measurement 59

Smart Data Collective

JUNE 4, 2021

Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Here are the chronological steps for the data science journey. Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Domino Data Lab

DECEMBER 4, 2020

This tutorial will show how easy it is to integrate and use Pumas in the Domino Data Science Platform , and we will carry out a simple non-compartmental analysis using a freely available dataset. Understandably, the first step in this tutorial is to confirm that we have access to PumasAI. In this tutorial we will use JupyterLab.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. Adam Smith, generally recognized as the founder of modern economics, was in awe of Newton’s laws of mechanics and gravitation.

Modeling 135

Modeling Finance Uncertainty Data mining 135

O'Reilly on Data

SEPTEMBER 15, 2020

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

Insight

APRIL 9, 2019

Our solution could save thousands of dollars and cut up to three months of manual testing on expensive testing equipment. NASA [Public domain] In this blog, I’ll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development.

Manufacturing 75

Manufacturing Machine Learning Testing Software 75

O'Reilly on Data

OCTOBER 11, 2022

There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. Using AI to discover tasks that can be automated also comes up frequently. Automating Office Processes.

Data Integration 292

Data Integration Insurance Dashboards Modeling 292

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. Access to tools – Data users want to use different tools of choice with the same governed data.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

AWS Big Data

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent.

Unstructured Data 118

Unstructured Data Metadata Management Analytics 118

AWS Big Data

MARCH 27, 2024

These services enable you to collect and analyze data in near real time and put a comprehensive data governance framework in place that uses granular access control to secure sensitive data from unauthorized users.

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

CIO Business Intelligence

JUNE 7, 2023

Others – especially large enterprises that operate in multiple verticals, global regions, or verticals with strict governance – navigate complexities around compliance, data privacy, and IT that being fully cloud-based can complicate. Aggregated research shows hybrid cloud generates 2.5 Is your curiosity piqued?

Cost-Benefit 106

Cost-Benefit Machine Learning Marketing Reporting 106

AWS Big Data

JULY 19, 2023

According to the Kimball dimensional modeling methodology , there are four key steps in designing a dimensional model: Identify the business process. Additionally, we add a fifth step for demonstration purposes, which is to report and analyze business events. We discuss implementing dimensions and facts within Amazon Redshift.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

CIO Business Intelligence

SEPTEMBER 13, 2023

Years into digital transformation, and decades into the IT function itself, many CIOs still fall short when it comes to innovation. Tech debt, budget constraints, and overloaded staff schedules are among the top reasons IT leaders cite for scuttled innovation attempts. Otherwise, they won’t support and fund even promising work.

IT 136

IT Digital Transformation Risk Cost-Benefit 136

AWS Big Data

NOVEMBER 15, 2023

It works as a bundle for resources that are bound to a specific staging environment and Region to store data on Amazon Simple Storage Service (Amazon S3), which is renowned for its industry-leading scalability, data availability, security, and performance. billion on revenues amounting to € 142.6

Dashboards 94

Dashboards Analytics Metadata Optimization 94

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!

Technology 279

Technology Internet of Things IT IoT 279

Alation

SEPTEMBER 23, 2021

It offers a broad range of data intelligence solutions, including analytics, data governance, privacy, and cloud transformation. Governance. Some data catalogs are built for a specific infrastructure and some are built for governance suites. Conversations. Analytical environments are increasingly complex. Collaboration.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

Decision Management Solutions

AUGUST 18, 2020

Mike Gualtieri and Boris Evelson of Forrester recently published a great new paper Introducing AI-Powered, Human-Controlled Digital Decisioning Platforms (subscription or payment required) and you should get access to this paper and read it now. It’s got some great content and recommendations and is well worth your time and money.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88