O'Reilly on Data

OCTOBER 22, 2020

We hope you’re able to borrow questions you haven’t used before, and even cook up new questions that are more closely related to your personal and professional interests. Everything they do has to end with your purchases winding up in your hot little hands. A brief disclaimer. The questions.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

CIO Business Intelligence

FEBRUARY 16, 2024

Sure, digital transformation is a buzzword that’s been bouncing around for a long time,” he says, “but digitizing your processes remains important because no modern business can afford to run an old, unpatched, and unsupported version of something. From the moment your data is put into a partner-managed environment, you lose control of it.

IT 116

IT Digital Transformation Data Architecture Management 116

IBM Big Data Hub

FEBRUARY 15, 2024

You’re headed to your favorite drive-thru to grab fries and a cheeseburger. What could possibly go wrong? Isolating the human voice When you call your bank or utilities company, a voice agent chatbot probably answers the call first to ask why you’re calling. It’s windy. Finally, the kitchen prepares the food.

Technology 93

Technology Machine Learning Optimization Modeling 93

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. And finally–build a team that includes people of different backgrounds, and who will be affected by your products in different ways. Is it a problem that should be solved? How can the solution be abused?

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

SEPTEMBER 12, 2023

What could possibly go wrong? Here are N of the dark secrets of generative AI algorithms to keep in mind when planning how to incorporate the technology into your enterprise workflow. Here are N of the dark secrets of generative AI algorithms to keep in mind when planning how to incorporate the technology into your enterprise workflow.

Enterprise 124

Enterprise Consulting Technology IT 124

CIO Business Intelligence

MARCH 1, 2023

Gartner® predicts that, “By 2027, over 90% of new software applications that are developed in the business will contain ML models or services, as enterprises utilize the massive amounts of data available to the business. AI cannot work with the wrong data, at the wrong time, delivered by the wrong infrastructure.

Cost-Benefit 98

Cost-Benefit Machine Learning Software Strategy 98

CIO Business Intelligence

JANUARY 16, 2024

The struggle is augmenting your workforce or replace it altogether,” he says. Step one is likely a question of empowering the most capable people in your organization with highly tailored AI; the next step is removing the less capable altogether.” For now, most CIOs are deploying generative AI to enhance productivity and efficiency.

Cost-Benefit 130

Cost-Benefit Enterprise Unstructured Data Technology 130

Occam's Razor

JULY 5, 2021

Right then and there, your VP of Finance steps in with a, hey, how many of these conversions that you are claiming are ones that we would not have gotten anyway? Right then and there, your VP of Finance steps in with a, hey, how many of these conversions that you are claiming are ones that we would not have gotten anyway? Attribution

Marketing Analytics 148

Marketing Analytics Marketing Analytics Data-driven 148

CIO Business Intelligence

JULY 14, 2023

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Optimization 133

Optimization Machine Learning Data mining Statistics 133

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. However, the value of such important data diminishes significantly over time.

Data Lake 89

Data Lake Unstructured Data Management Modeling 89

CIO Business Intelligence

JUNE 13, 2023

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Waiting until it’s established may be safer but can put you behind your competitors. Only you know when that moment might be for your tech stack.

IT 145

IT Scorecard Software Modeling 145

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI.

Data Governance 94

Data Governance Unstructured Data Metadata Data Lake 94

CIO Business Intelligence

JANUARY 4, 2023

Experts point to Southwest’s point-to-point operating model as problematic in recovering from major weather issues compared to the hub-and-spoke model used by many major airlines. Has IT invested or piloted a digital twin to help model operational changes and support decision-making during a crisis?

Digital Transformation 144

Digital Transformation Software Technology Modeling 144

Cloudera

MARCH 17, 2023

I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. Here are some responses that weren’t exactly right, and our explanation on where and why it went wrong. I thought this was a fairly comprehensive list.

Unstructured Data 60

Unstructured Data Data Lake Data Warehouse Machine Learning 60

CIO Business Intelligence

NOVEMBER 6, 2023

When employees disengage from work — often called quiet quitting — it starts a ripple effect that can damage everything from their career trajectory to your team, company, and the global economy. You can stop the quiet quitting by improving your work culture, so your people speak up before they nope out. trillion in 2022.

Measurement 133

Measurement Cost-Benefit Management Metrics 133

CIO Business Intelligence

MARCH 10, 2023

“So, we let them decide whether they want to respond to our consumer as Alex suggested, or they want to add some personal recommendation; if the answer suggested by Alex is wrong or doesn’t have an answer, they can flag it so Alex can learn it the following time.” Consumers are more and more specific about what they want.

Forecasting 105

Forecasting Machine Learning Data Lake Digital Transformation 105

CIO Business Intelligence

JUNE 1, 2022

The company operates a global hybrid model—both on site and through a work-at-home platform—and provides a range of solutions from customer care to financial solutions and customized digital services. Recently, I caught up with Clifton to learn more. Why is this pivot important to your customers?

IT 97

IT Interactive Marketing Consulting 97

Decision Management Solutions

JANUARY 17, 2023

The series is designed to use specific real-world stories to illustrate the importance of handling your claims effectively, not just efficiently. Digitizing your claims process may help you process a claim more cheaply, but you also need to ensure that the right claims are paid, and the right approach is taken for each.

Machine Learning 52

Machine Learning Insurance Modeling Reporting 52

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work. “The

Advertising 128

Advertising Machine Learning Software Measurement 128

O'Reilly on Data

MARCH 22, 2019

Machines will need to make ethical decisions, and we will be responsible for those decisions. There’s a lot we can learn from spam filtering. So, machines are already making ethical decisions, and often doing so badly. Does a song exist if YouTube doesn’t select it for your playlist? These data flows go both ways.

Metadata 243

Metadata Advertising Insurance Modeling 243

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work. “The

Advertising 119

Advertising Machine Learning Software Measurement 119

CIO Business Intelligence

JULY 11, 2023

But positioning yourself, your team, and your organization to get ahead requires some strategic thinking. The firm has a concept of “ making your own McKinsey.” What if Bill is someone I should model myself on? You should put it to work as an “eager intern” or “autonomous agent” (or both) ASAP. I can be inspired by that.

Strategy 75

Strategy Uncertainty Data-driven Consulting 75

CIO Business Intelligence

SEPTEMBER 21, 2023

Today’s foundational models are jacks-of-all-trades. With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” It doesn’t matter how accurate an AI model is, or how much benefit it’ll bring to a company if the intended users refuse to have anything to do with it.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Decision Management Solutions

AUGUST 8, 2019

Trust is a big deal when it comes to machine learning. Black box” algorithms, concerns about bias and a sense that data scientists may know everything about the data but nothing about the business all undermine trust in machine learning models.

Machine Learning 60

Machine Learning Modeling Data Science Business Objectives 60

DataRobot

FEBRUARY 10, 2021

Machine learning is a glass cannon. Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results. As a data scientist, one of my passions is to reproduce research papers as a learning exercise.

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

CIO Business Intelligence

AUGUST 24, 2023

Don’t get me wrong: Both are needed to deliver a competitive experience, combining customer context with relevant and accurate content. If you are not leveraging the power of GenAI in your business right now – and doing it right – you will be left behind. Artificial Intelligence, Machine Learning The bottom line?

Cost-Benefit 98

Cost-Benefit Enterprise Machine Learning Marketing 98

IBM Big Data Hub

OCTOBER 3, 2022

The healthcare company understood that it’s not enough to build an accurate machine learning model; they needed to connect it to the human experience. A lot can go wrong when an organization decides to operationalize AI, and avoiding undue risk is a significant part the process. The AI must be trustworthy.

Machine Learning 52

Machine Learning Risk Insurance Cost-Benefit 52

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. For instance, physics can predict the motion of the moon and the electrons in your computer with jaw-dropping precision.

Modeling 135

Modeling Finance Uncertainty Data mining 135

Data Science 101

OCTOBER 17, 2023

But humans as bad actors … this power in the wrong hands. What spurred your interest in AI? And how has that shaped your current research? Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. ” — P Anne Harris (@iamanneharris) on Threads Today we have @iamanneharris.

Consulting 59

Consulting Interactive Data-driven IT 59

IBM Big Data Hub

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. Instead, they can write system prompts, natural-language instructions that tell the AI model what to do. The model is mainly designed for apps that call LLMs through APIs. What are prompt injection attacks, and why are they a problem?

Risk 66

Risk Modeling Measurement Enterprise 66

IBM Big Data Hub

SEPTEMBER 20, 2022

Organizations are increasingly depending upon artificial intelligence (AI) and Machine Learning (ML) to assist humans in decision making. But these organizations need to be able to trust their AI/ML models before they can be operationalized and used in crucial business processes. Is it scalable?

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Cloudera

JUNE 26, 2023

Over time, using the wrong tool for the job can wreak havoc on environmental health. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models. Visit our Data and IT Leaders page to learn more.

Testing 75

Testing Data Processing Visualization Data Science 75

CIO Business Intelligence

AUGUST 11, 2023

I’m here to tell you that this must be at the top of everyone’s lists because the costs of getting this wrong are astronomical, and there’s no sitting out this new GenAI age. If we don’t learn from history, we’re doomed to repeat it Shadow AI has the potential to eclipse Shadow IT. They’re meant to be followed but often aren’t.

IT 98

IT Data Processing Risk Strategy 98

DataRobot Blog

APRIL 11, 2022

EY warns that your AI “can malfunction, be deliberately or accidentally corrupted and even adopt human biases. As Murphy’s law says, “Anything that can go wrong will go wrong.” Just as people are imperfect, the AI systems we create are imperfect too. But that doesn’t mean we should live in denial or give up.

Risk 98

Risk Risk Management Software Consulting 98

CIO Business Intelligence

JUNE 12, 2023

It can be about anything from classic data analysis and advanced data analysis, to robotics or machine learning. The vast majority of companies already have a structure for analytics and machine learning, so we’re already there; it doesn’t add much,” she adds. It’s important to try your hand and see what works,” she says.

Sales 52

Sales Machine Learning Experimentation Deep Learning 52

CIO Business Intelligence

AUGUST 17, 2023

Your organization needs someone to champion this. This is a fantastic opportunity to drive your own career forward while helping your organization maximize its success while also serving your employees and creating an environment that creates the best possible outcomes for society. We need that kind of leadership.

Measurement 98

Measurement Risk Testing Technology 98