O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? What Software Are We Talking About? It’s important to understand that ChatGPT is not actually a language model. It’s a convenient user interface built around one specific language model, GPT-3.5, Or a text adventure game.

IT 348

IT Modeling Testing Risk 348

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. What stages will it have to go through before it becomes “real,” and how will it get there? The AI Product Pipeline. Though this is not an exhaustive list, most AI products pass through these stages.

Management 364

Management Experimentation B2B Machine Learning 364

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. What’s the reality? We wanted to find out what people are actually doing, so in September we surveyed O’Reilly’s users.

Enterprise 342

Enterprise Testing Modeling Reporting 342

DataKitchen

DECEMBER 13, 2021

Without further ado, here are DataKitchen’s top ten blog posts, top five white papers, and top five webinars from 2021. Top 10 Blog Posts. What is a Data Mesh? Launch Your DataOps Journey with the DataOps Maturity Model. The DataOps Vendor Landscape, 2021. DataOps Data Architecture. Why DevOps Tools Fail at DataOps.

Data Architecture 246

Data Architecture Data Governance Testing Modeling 246

CIO Business Intelligence

NOVEMBER 19, 2024

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. Let’s start with the basics: What is an agent? LLMs by themselves are not agents.

Testing 135

Testing Cost-Benefit Interactive ROI 135

datapine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.

Modeling 322

Modeling Machine Learning Risk Advertising 322

Jet Global

JUNE 22, 2023

Blogs Podcasts Whitepapers and Guides Tools and Calculators Webinars Sample Reports The Evolution of the CFO into the Chief Data Storyteller View Insight Now Our Favorite CFO Blogs The Venture CFO Blog Link: [link] Are you looking for blog posts for CFOs by CFOs? Then you have come to the right place.

KPI 105

KPI Finance Dashboards Digital Transformation 105

O'Reilly on Data

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. Proper AI product monitoring is essential to this outcome. I/O validation.

Management 314

Management Machine Learning Metrics Modeling 314

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Learn what will enhance the SaaS infrastructure in our free cheat sheet! SaaS is taking over the cloud computing market.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

AWS Big Data

DECEMBER 17, 2024

General availability of AI-driven scaling and optimizations The launch of Amazon Redshift Serverless in 2021 marked a significant shift, eliminating the need for cluster management while paying for what you use. You can now start writing to shared Redshift databases from multiple Redshift data warehouses in just a few clicks.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

datapine

FEBRUARY 4, 2020

As we have already talked about in our previous blog post on sales reports for daily, weekly or monthly reporting, you need to figure out a couple of things when launching and executing a marketing campaign: are your efforts paying off? What Is A Marketing Report? If you are doing things in the right way, should you do more of it?

Reporting 280

Reporting Marketing Advertising Metrics 280

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Download the 2021 DataOps Vendor Landscape here. Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Science 300

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. The relationship between analytics and AI is rapidly evolving. They aren’t using analytics and AI tools in isolation. The next generation of SageMaker is set to do just that.

Data Analytics 105

Data Analytics Analytics Data Lake Data Quality 105

DataKitchen

DECEMBER 7, 2021

Data Teams: A Unified Management Model for Successful Data-Focused Teams, by Jesse Anderson. If your data nerd is obsessed with the newest, coolest technology and what big companies tech firms are doing, Practical DataOps is the book for them. ???. You can purchase Fail Fast, Learn Faster here. Author Laura B.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? But let’s see in more detail what experts say and how can we connect and differentiate the both. What Do The Experts Say? Table of Contents.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. What Is Agile Analytics And BI? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. And like that, agile was born.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Cloudera

DECEMBER 6, 2024

But what does that future look like? To explore what the next era of data looks like in this AI boom, R Ray Wang , principal analyst, founder, and chairman of Constellation Research, joined us to kick off this new podcast and discuss. What does that look like? AI is only as successful as the data behind it.

Manufacturing 82

Manufacturing Forecasting Metadata Data Processing 82

Data Virtualization

APRIL 10, 2025

To keep pace, public sector administrations must evolve just as quickly, to close the gap between what communities need and what governments deliver. Reading Time: 2 minutes Todays world is fast-moving and unpredictable. In this dynamic environment, time is everything.

Modeling 75

Modeling Data Integration Management Data Architecture 75

Cloudera

JANUARY 7, 2025

Tell me about what you were trying to build or replace or accomplish. What’s the reason for data? I want to get people to think of not what has happened but what could happen. To dive into the problem, we had to uncover what that means for him. What size planes are they? What did that look like?

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

Rocket-Powered Data Science

JULY 6, 2021

What attributes of your organization’s strategies can you attribute to successful outcomes? Do you converse with your employees about decisions that might be the converse of what they would expect? What you have just experienced is a plethora of heteronyms. Before we start, I have a few questions for you. Can you find them all?

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. Your Chance: Want to perform advanced data analysis with a few clicks? Try our professional data analysis software for 14 days, completely free! Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

O'Reilly on Data

SEPTEMBER 15, 2021

The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. The results then provide a place to start thinking about what effect the pandemic had on employment.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

Cloudera

DECEMBER 4, 2024

To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. What is the Cloudera AI Inference service? Services like Hugging Face and the ONNX Model Zoo made it easy to access a wide range of pre-trained models.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

AWS Big Data

OCTOBER 14, 2024

Large language model (LLM)-based generative AI is a new technology trend for comprehending a large corpora of information and assisting with complex tasks. Generative AI models can translate natural language questions into valid SQL queries, a capability known as text-to-SQL generation. Can it also help write SQL queries?

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

Cloudera

JANUARY 9, 2025

It means combining data engineering, model ops, governance, and collaboration in a single, streamlined environment. Executives, data teams, and even end-users understand that AI means more than building models; it means unlocking strategic value. Within it, youll find capabilities that clearly map to what they deliver.

Machine Learning 85

Machine Learning Enterprise Data-driven Modeling 85

Cloudera

NOVEMBER 13, 2024

This acquisition delivers access to trusted data so organizations can build reliable AI models and applications by combining data from anywhere in their environment. The post Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate appeared first on Cloudera Blog.

Metadata 90

Metadata Management Data Governance Data-driven 90

DataKitchen

APRIL 26, 2021

Furthermore, the introduction of AI and ML models hastened the need to be more efficient and effective in deploying new technologies. Similarly, Workiva was driven to DataOps due to an increased need for analytics agility to meet a range of organizational needs, such as real-time dashboard updates or ML model training and monitoring.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

Ontotext

JANUARY 10, 2025

Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. This blog post summarizes our findings, focusing on NER as a first-step key task for knowledge extraction. At Graphwise, we aim to make knowledge graph construction faster and more cost-effective.

Informatics 59

Informatics Modeling Metadata Experimentation 59

datapine

OCTOBER 7, 2020

Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals. What gets measured gets done.” – Peter Drucker. What Are Metrics And Why Are They Important?

KPI 269

KPI Metrics Sales Visualization 269

Rocket-Powered Data Science

JULY 6, 2023

These AI applications are essentially deep machine learning models that are trained on hundreds of gigabytes of text and that can provide detailed, grammatically correct, and “mostly accurate” text responses to user inputs (questions, requests, or queries, which are called prompts). You can find my results on my Medium blog site.

Statistics 152

Statistics Deep Learning Machine Learning Enterprise 152

Cloudera

JANUARY 7, 2025

As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. The terms hybrid and multi-cloud are often used interchangeably.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

datapine

AUGUST 14, 2019

What Is A Data Science Tool? Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

SEPTEMBER 4, 2019

But what do you do with all this business intelligence? That being said, in this post, we will explain what is a dashboard in business, the features of strategic, tactical, operational and analytical dashboards, and expound on examples that these different types of dashboards can be used. What Is A Dashboard In Business?

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Dashboards Analytics Key Performance Indicator Sales 263