CIO Business Intelligence

OCTOBER 24, 2024

In some cases, the AI add-ons will be subscription models, like Microsoft Copilot, and sometimes, they will be free, like Salesforce Einstein, he says. Forrester also recently predicted that 2025 would see a shift in AI strategies , away from experimentation and toward near-term bottom-line gains. The key message was, ‘Pace yourself.’”

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

O'Reilly on Data

MARCH 23, 2023

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, is one of a class of language models that are sometimes called “large language models” (LLMs)—though that term isn’t very helpful. It has helped to write a book.

IT 346

IT Modeling Testing Risk 346

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 364

Management Experimentation B2B Machine Learning 364

O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. Identifying the problem. The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. The worst case scenario is when a business doesn’t have any metrics.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

JANUARY 2, 2025

Generative AI playtime may be over, as organizations cut down on experimentation and pivot toward achieving business value, with a focus on fewer, more targeted use cases. Either you didnt have the right data to be able to do it, the technology wasnt there yet, or the models just werent there, Wells says of the rash of early pilot failures.

Experimentation 144

Experimentation Digital Transformation Technology Finance 144

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

Analytics Vidhya

JULY 17, 2023

Google is unveiling its latest experimental offering from Google Labs: NotebookLM, previously known as Project Tailwind. This innovative notetaking software aims to revolutionize how we synthesize information by leveraging the power of language models.

Experimentation 267

Experimentation Software Modeling Analytics 267

O'Reilly on Data

MARCH 25, 2025

Throughout this article, well explore real-world examples of LLM application development and then consolidate what weve learned into a set of first principlescovering areas like nondeterminism, evaluation approaches, and iteration cyclesthat can guide your work regardless of which models or frameworks you choose. Which multiagent frameworks?

Testing 168

Testing Data-driven Software Measurement 168

O'Reilly on Data

JANUARY 11, 2022

This trend started with the gigantic language model GPT-3. This may encourage the creation of more large-scale models; it might also drive a wedge between academic and industrial researchers. What does “reproducibility” mean if the model is so large that it’s impossible to reproduce experimental results? Or it might not.

Experimentation 361

Experimentation Modeling Strategy Machine Learning 361

CIO Business Intelligence

NOVEMBER 11, 2024

Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out large language models (LLMs) that not only automate document summarization but also help manage power grids during storms, for example. Only 13% plan to build a model from scratch.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

O'Reilly on Data

JUNE 11, 2024

It is important to be careful when deploying an AI application, but it’s also important to realize that all AI is experimental. It would have been very difficult to develop the expertise to build and train a model, and much more effective to work with a company that already has that expertise. Each new question starts a new context.

Modeling 337

Modeling Experimentation Interactive Data-driven 337

CIO Business Intelligence

OCTOBER 17, 2024

Despite critics, most, if not all, vendors offering coding assistants are now moving toward autonomous agents, although full AI coding independence is still experimental, Walsh says. The next evolution of the coding agent model is to have the AI not only write the code, but also write validation tests, run the tests, and fix errors, he adds.

Software 141

Software Testing Experimentation Consulting 141

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door.

Management 363

Management Machine Learning Experimentation Metrics 363

O'Reilly on Data

SEPTEMBER 8, 2020

The programmer could then continue by filling in the actual code, possibly with extensive code completion (and yes, based on a model trained on all the code in GitHub or whatever). Most AI systems we’ve seen envision AI as an oracle: you give it the input, it pops out the answer. That level was the real gold.

Experimentation 363

Experimentation Interactive Modeling Software 363

CIO Business Intelligence

DECEMBER 17, 2024

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. Like any new technology, organizations typically need to upskill existing talent or work with trusted technology partners to continuously tune and integrate their AI foundation models. In 2025, thats going to change.

Experimentation 98

Experimentation ROI Risk Data Quality 98

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

Cloudera

NOVEMBER 19, 2021

We recognise that experimentation is an important component of any enterprise machine learning practice. But, we also know that experimentation alone doesn’t yield business value. Organizations need to usher their ML models out of the lab (i.e., Organizations must think about an ML model in terms of its entire life cycle.

Machine Learning 122

Machine Learning Modeling Experimentation IT 122

CIO Business Intelligence

OCTOBER 24, 2024

As they look to operationalize lessons learned through experimentation, they will deliver short-term wins and successfully play the gen AI — and other emerging tech — long game,” Leaver said. Forrester said most technology executives expect their IT budgets to increase in 2025.

ROI 127

ROI Data-driven Enterprise Experimentation 127

O'Reilly on Data

MARCH 19, 2020

The chatbot was one of the first applications of AI in experimental and production usage. O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. Although TensorFlow grew by just 3%, it, too, garnered 22% share of AI/ML usage in 2019.

Deep Learning 356

Deep Learning Machine Learning Data-driven Modeling 356

CIO Business Intelligence

MAY 21, 2024

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

IT 131

IT Cost-Benefit Experimentation Forecasting 131

CIO Business Intelligence

JUNE 11, 2024

IT’s mission has transformed — perhaps so should its brand Another approach I recommend is to rebrand IT and recast its mission to modernize its objectives, organizational structure, core competencies, and operating model. One way IT leaders convey this transformed mission is to alter the CIO title.

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

CIO Business Intelligence

AUGUST 20, 2024

Our mental models of what constitutes a high-performance team have evolved considerably over the past five years. Post-pandemic, high-performance teams excelled at remote and hybrid working models, were more empathetic to individual needs, and leveraged automation to reduce manual work.

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

JANUARY 21, 2025

With traditional OCR and AI models, you might get 60% straight-through processing, 70% if youre lucky, but now generative AI solves all of the edge cases, and your processing rates go up to 99%, Beckley says. Even simple use cases had exceptions requiring business process outsourcing (BPO) or internal data processing teams to manage.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 347

Enterprise Deep Learning Data Governance Risk 347

CIO Business Intelligence

NOVEMBER 7, 2024

Caldas has established herself as a decisive, growth-oriented executive and innovative strategist with an impressive track record of leading large complex transformations and executing with real solutions. In order to solve them, my technology team and I have to understand them at a deeper level. Many times it means going and seeing for yourself.

Insurance 120

Insurance Experimentation Testing Technology 120

O'Reilly on Data

SEPTEMBER 15, 2020

In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g., The Challenge with Defining AI Goals. It also requires buy-in and alignment at the C-level.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

CIO Business Intelligence

DECEMBER 19, 2024

Government agencies and nonprofits are looking for data scientists and engineers to help with climate modeling and environmental impact analysis. One of the fastest-growing industries in the world, climate tech and its companion area of nature tech require a wide range of skills to help solve significant environmental problems.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

APRIL 25, 2024

During the summer of 2023, at the height of the first wave of interest in generative AI, LinkedIn began to wonder whether matching candidates with employers and making feeds more useful would be better served with the help of large language models (LLMs). The initial deliverables “felt lacking,” Bottaro said.

IT 139

IT Cost-Benefit Experimentation Metrics 139

O'Reilly on Data

APRIL 19, 2021

Relatively few respondents are using version control for data and models. Tools for versioning data and models are still immature, but they’re critical for making AI results reproducible and reliable. It’s possible that pandemic-induced boredom led more people to respond, but we doubt it. Executive Summary. Respondents.

Enterprise 364

Enterprise Risk Modeling Manufacturing 364

Analytics Vidhya

APRIL 14, 2023

Recently, researchers have shown that OpenAI’s generative AI model, GPT-4, has the capability to do scientific research all on its own! The model can design, […] The post GPT-4 Capable of Doing Autonomous Scientific Research appeared first on Analytics Vidhya.

Finance 319

Finance Modeling Analytics Experimentation 319

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. the monitoring of very important operational ML characteristics: data drift, concept drift, and model security).

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

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 308

Management Machine Learning Metrics Modeling 308

CIO Business Intelligence

NOVEMBER 4, 2022

The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation. It is all about the data. If you are not on the cloud, you are going to be left behind.”

Data Lake 124

Data Lake IT Experimentation Data-driven 124

CIO Business Intelligence

OCTOBER 1, 2024

It isn’t that they are abandoning AI too early, it is that they are riding into dead ends at full speed because they didn’t take the time to get the lay of the land first and do the methodical experimentation that is needed.” But an AI reset is underway. Many paths to ROI will take longer, Curran says.

ROI 131

ROI IT Measurement Experimentation 131

CIO Business Intelligence

JULY 31, 2024

This year, however, Salesforce has accelerated its agenda, integrating much of its recent work with large language models (LLMs) and machine learning into a low-code tool called Einstein 1 Studio. Einstein 1 Studio is a set of low-code tools to create, customize, and embed AI models in Salesforce workflows. What is Einstein 1 Studio?

Data Lake 119

Data Lake IT Sales Experimentation 119

CIO Business Intelligence

MARCH 5, 2025

Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. If its a buy, they should do these three things when recruiting vendors. And if it does work, its all upside.

Testing 99

Testing Measurement Technology Experimentation 99

CIO Business Intelligence

JUNE 16, 2022

Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. If data is difficult to work with, experimentation slows down, and consequently, so does innovation. Complexity is the enemy of innovation. Data i nnovation in lines of business.

IT 135

IT Experimentation IoT Data-driven 135