IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models.

Metadata 79

Metadata Risk Experimentation Dashboards 79

CIO Business Intelligence

FEBRUARY 22, 2024

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 97

IT Digital Transformation IoT Cost-Benefit 97

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Challenges around managing risk.

Metadata 103

Metadata Risk Risk Management Experimentation 103

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataRobot Blog

NOVEMBER 15, 2022

A packed keynote session showed how repeatable workflows and flexible technology get more models into production. Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

CIO Business Intelligence

JUNE 16, 2022

Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. IT funding might be on the rise, but the ROI for the business from technology investments isn’t as high as it should be.

IT 123

IT Experimentation IoT Data-driven 123

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

Corinium

JUNE 6, 2019

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. It is also important to have a strong test and learn culture to encourage rapid experimentation. What do you recommend to organizations to harness this but also show a solid ROI?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataRobot

JANUARY 13, 2022

Many companies find that they have a treasure trove of data but lack the expertise to use it to improve ROI. To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups.

ROI 52

ROI Machine Learning Experimentation Data Science 52

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 87

Digital Transformation Cost-Benefit Informatics Data mining 87

CIO Business Intelligence

DECEMBER 29, 2023

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. Also, CIOs are asking what processes other people are using around determining proof of concepts, use cases, and ROI for generative AI,” he says.

Cost-Benefit 134

Cost-Benefit Digital Transformation Consulting Strategy 134

CIO Business Intelligence

JANUARY 2, 2024

We’re moving away from rigid hierarchies of managers and subordinates, transitioning towards more dynamic and flexible teams.” He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. “Emphasizing agility and flexibility is key in this dynamic environment,” he says. “To

IT 144

IT Cost-Benefit Statistics Consulting 144

CIO Business Intelligence

APRIL 6, 2022

The race to embrace digital technologies to compete and stay relevant in emerging business models is compelling organizations to shift focus. While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . Accelerate Innovation.

Experimentation 82

Experimentation Data Lake Uncertainty Enterprise 82

Decision Management Solutions

JUNE 25, 2019

The last mile – getting ML models embedded into production systems – is critically important for analytic value and yet it is hard and often neglected. In particular, Tom pointed out that it is not enough for data scientists to engage senior management – they must also engage front line employees who “know how we make money”.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

Occam's Razor

AUGUST 13, 2012

Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. I explain three different models (Online to Store, Across Multiple Devices, Across Digital Channels) and for each I've highlighted: 1. What's possible to measure. That is the solution.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

FineReport

DECEMBER 11, 2019

As the preferred business introductory book, this book covers the business environment, job hunting, business management, human resources, marketing, finance, and other aspects, leading readers to master comprehensive knowledge of business operations. . – Understanding Business. By William G Nickels, James McHugh, Susan McHugh.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. These two points provide a different kind of risk management mechanism which is effective for science, specifically data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Ontotext

APRIL 3, 2024

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. As you move up through the business and start talking to product managers, project managers, and so on, it’s about revenue. How do I make sure I can manage risk?” Show me the ROI.”

Technology 59

Technology Risk Digital Transformation Measurement 59

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Corinium

APRIL 25, 2019

I am head of Products here, which comprises of R&D, Product Management and Global Customer support. This is a much more proactive and scalable model. What do you recommend to organizations to harness this but also show a solid ROI? Can you tell me a bit more about your role at Protegrity?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively. Pilots can offer value beyond just experimentation, of course.

Cost-Benefit 140

Cost-Benefit Metrics Insurance Measurement 140

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. Lack Management Support or Buy-in? Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Customer Lifetime Value ROI, Buzz Monitoring, Click Fraud. PPC / SEM Analytics: 5 Actionable Tips To Improve ROI. Experimentation and Testing: A Primer.

KPI 124

KPI Metrics Measurement ROI 124

DataRobot Blog

JANUARY 12, 2023

Organizations that want to accelerate AI and generate significant business impact are now able to deliver augmented intelligence at scale with DataRobot Dedicated Managed AI Cloud and Google Cloud. The platform suggests the best possible model quickly, while reducing production and implementation time. Delivering more than 1.4

Management 59

Management Data-driven ROI Cost-Benefit 59

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. The most common pricing model, Cost-Per-Click (CPC) , as presented in the picture above, is used by the main search engines like Google Ads, Yahoo Search Marketing, or Yandex Direct. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

APRIL 29, 2013

That is also a way to get people to sync the data analysis (not data puking, sorry I meant data reporting) with the speed at which the company actually makes decisions (data > analyst > manager > director > VP > question back to manager > yells at the analyst > back to director> VP = 6 days).

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

MARCH 23, 2010

When it comes to proving which campaigns are better and which numbers to report to the management what will you do? It is possible that you'll be the exception and build the first clickstream data warehouse where you'll deliver positive ROI (against the Total Cost of Ownership ). Likely not. Omniture cannot save you.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

OCTOBER 19, 2010

But overinvest in people and everything that is required to make those people successful: invest in process, invest in their training, invest in large monitors for them, invest in backing them up against senior management, invest in involving them in key business strategy meetings, invest in… you catch my drift). Percent Mobile. LivePerson.

Analytics 135

Analytics Testing Measurement Optimization 135

CIO Business Intelligence

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Improving customer support is a quick win for delivering short-term ROI from LLMs and AI search capabilities.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98