CIO Business Intelligence

AUGUST 1, 2023

But we don’t necessarily see this with AI-driven models, in which the return on scale can continue to climb to previously unheard-of levels. He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing. Generative AI seals the deal.

Strategy 52

Strategy Data-driven Interactive Uncertainty 52

IBM Big Data Hub

FEBRUARY 20, 2024

Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate. Global climate models have given climate scientists a set of expectations as to what the future could hold, both for the Earth at large and for specific regions.

Modeling 120

Modeling Forecasting Reporting Risk 120

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 95

Cost-Benefit Modeling Manufacturing Interactive 95

DataRobot

JULY 16, 2021

The first is trust in the performance of your AI/machine learning model. They all serve to answer the question, “How well can my model make predictions based on data?” How can identifying gaps or discrepancies in the training data help you build a more trustworthy model? Dimensions of Trust. How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

Rocket-Powered Data Science

JULY 19, 2023

The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage. Data scientists work with business users to define and learn the rules by which precursor analytics models produce high-accuracy early warnings.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

MARCH 8, 2023

“I was doing some work in a trust in the English NHS and we gave everybody tools, laptops and mobile solutions, and redesigned the operating model and how we worked together. We tried to have the operational care model and service design drive out technology requirements. Watch the full video below for more insights.

Insurance 98

Insurance Digital Transformation Interactive Risk 98

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Jet Global

NOVEMBER 20, 2023

With the volatility of the market and increasing uncertainties that arise within your business, you need actionable insights to contend with competitors buoyed by digital transformation efforts. Unlock insights from ERP Data to Deliver Actionable Insights Let’s face it. Or at least that is what users of these solutions believed.

Business Intelligence 52

Business Intelligence IT Operational Reporting Reporting 52

Cloudera

DECEMBER 11, 2020

A recent McKinsey survey, cited in CRN , shows that worldwide, 58 percent of customer interactions were digital as of July 2020. That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018.

Insurance 92

Insurance Digital Transformation Unstructured Data Machine Learning 92

CIO Business Intelligence

JUNE 8, 2022

Not only does mainframe technology play a central role in the daily operations of most of the world’s largest corporations, but it also is the backbone of many digital customer interactions. Re-platforming involves removing mainframe infrastructure entirely and replace it with cloud models.

Digital Transformation 98

Digital Transformation Cost-Benefit Uncertainty Software 98

Cloudera

JULY 15, 2021

In this session we explored what firms are doing to approach the uncertainty with more predictability. Across the industry, the pandemic caused a huge breakdown in model performance due to the change in macroeconomic conditions and government stimulus packages. Observe what the model has to offer even if not the intended output.

Risk 97

Risk Optimization Management Insurance 97

Decision Management Solutions

DECEMBER 17, 2020

With the pandemic still in full play and economic uncertainty across nearly every aspect of the business landscape, it’s important to align your priorities for the coming year so that you don’t just survive but thrive. Find ways to connect and interact with your customers in a more human way in this “remote everything” world.

Machine Learning 52

Machine Learning Interactive Uncertainty Management 52

IBM Big Data Hub

MARCH 8, 2024

The ecosystem has become more complex as business models advance and new ecommerce trends appear. In the constantly shifting, rapidly expanding ecommerce ecosystem, businesses must think creatively about their digital strategies and how best to create dynamic, interactive shopping experiences that improve customer relationships.

Consulting 86

Consulting Marketing Sales Data Processing 86

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. You pay only the associated Forecast costs.

Forecasting 85

Forecasting Data Warehouse Machine Learning Modeling 85

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 141

Risk Manufacturing Enterprise Technology 141

CIO Business Intelligence

NOVEMBER 30, 2022

On the reshaped CIO role: CIOs are now part of the shaping and evolving of future business models, whether it’s about how to extend the core business, or incubate and help think about what a future growth engine might be. At the same time, build resiliency against volatility and uncertainty. Then it’s about building enterprise agility.

Digital Transformation 97

Digital Transformation Uncertainty Manufacturing Interactive 97

bridgei2i

APRIL 27, 2020

From Dunzo trying to deliver anything to your doorstep to applications like Price Club aggregating deliveries at local apartments – the lockdown has shown many examples of companies trying to innovate on their digital delivery models to serve customers better. Many may not even have up-to-date knowledge about the situation.

Uncertainty 91

Uncertainty Machine Learning Reporting Interactive 91

bridgei2i

JUNE 2, 2020

And then there’s uncertainty on when this will come back to normal, what will it settle down as, etc. As past data isn’t relevant anymore, current models aren’t going to work. One, more customer facing – So customer needs to see a seamless digital experience across his/her journey and interaction with the bank.

Risk Management 128

Risk Management Risk Enterprise Management 128

Cloudera

AUGUST 20, 2020

It’s been a year filled with disruption and uncertainty. The company’s advanced AI models can today detect suspicious transactions and rank these transactions with a score so that fraud investigation teams can best prioritise cases that require immediate mitigation — something that’s imperative as business team members work remotely.

Enterprise 120

Enterprise Experimentation Uncertainty Deep Learning 120

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Probability, Uncertainty and Quantitative Risk (2017) 2:6. Mauro Cesa. “A

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

IBM Big Data Hub

OCTOBER 18, 2022

Most admit uncertainty around ROI and nearly half struggle with adequate insights from their data. Learn how CEOs inspire new partnership models to turn sustainability goals into action. Nearly half of CEOs think that sustainability will accelerate business growth.

Uncertainty 52

Uncertainty Strategy Measurement ROI 52

CIO Business Intelligence

JULY 7, 2023

This module validates your ability to measure, assess, and develop the Service Desk practice capability using the ITIL Maturity Model. ITIL Specialist Drive Stakeholder Value : This module covers engagement and interactions among customers, users, suppliers, and partners with the service provider.

Cost-Benefit 98

Cost-Benefit Strategy Management Uncertainty 98

Octopai

APRIL 16, 2020

Smarter Business Intelligence is an Asset During Uncertainty. While dealing with these new challenges is a big responsibility for data processing teams, it’s also an opportunity to advocate for the implementation of tools for: Improved business planning Modeling in uncertain situations Impact analysis Root-cause analysis System migration.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

bridgei2i

SEPTEMBER 16, 2020

This current phase has ensured that we all adapt to a technology-driven way of learning, working, and interacting with one another. So how do you think businesses are dealing with this uncertainty? Some of the newer business models, for example, are getting much more sophisticated. And yet there’s more to come.

Digital Transformation 98

Digital Transformation Enterprise Sales Forecasting 98

CIO Business Intelligence

JULY 31, 2023

How has, say, ChatGPT hit your business model?” The maker — the least common of the three types, McKinsey’s Merrill says — has the greatest need for structure and control and so will build its own models to meet its highly specialized requirements. There’s a lot of uncertainty. How is your business impacted by generative AI?

Strategy 98

Strategy Risk Enterprise Risk Management 98

bridgei2i

JUNE 3, 2020

Consumers feel threatened by the prolonged uncertainty, not having had to deal with anything like it, in their lives. Demand for minimal physical interaction/low human touch products: Due to the risk of infection, customers want to pick up products with minimal human contact.

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. It is a big picture approach, worthy of your consideration.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

bridgei2i

MAY 4, 2020

Anirban believes that insurers can make the best of the situation by adopting digital practices with AI-tools to stay resilient in the face of uncertainty. And in some ways, the traditional models need to be re-looked or revamped. Tune in for more details and subscribe now! Subscribe Now. Transcript. Anushruti: Hi, everyone.

Insurance 95

Insurance Enterprise Sales Digital Transformation 95

bridgei2i

MAY 4, 2020

While customer confidence also takes time to recover from rising unemployment, the economic uncertainty, and anxiousness. But with that said, we do see a lot of newer business models emerging, new channels of customer engagement, and definitely bigger and newer business problems. So overall, digital is just more important than ever.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

bridgei2i

APRIL 20, 2020

So, the COVID 19 outbreak seems to have impacted the world on an unprecedented scale, and everyone is grappling with the environment of uncertainty that it has created. We could also review and reset all structures, especially being able to better respond to newer business models. Always a pleasure to talk to you. Anushruti: Likewise.

Enterprise 114

Enterprise Consulting Digital Transformation Sales 114

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. Can we model the impact for such structural shocks? Last but not least, the crisis has also gotten enterprises to think of a lot of newer business models. These are strange times. And all at the same time.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Rocket-Powered Data Science

MAY 21, 2024

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” RAG is the essential link between two things: (a) the general large language models (LLMs) available in the market, and (b) a specific organization’s local knowledge base.

Cost-Benefit 225

Cost-Benefit Unstructured Data Enterprise Technology 225

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Occam's Razor

APRIL 8, 2013

Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Another way to find the metric you want to change is to look at your business model. The business model also tells you what the metric should be.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

CIO Business Intelligence

APRIL 25, 2022

There is a faith embedded in the manifesto that this approach to software engineering is both necessary and superior to older models, such as Waterfall. Does that sound like a methodology that puts “individuals and interactions” over “processes and tools”? Collaboration introduces inevitable uncertainty into the process.

Uncertainty 105

Uncertainty Software Measurement Interactive 105

The Unofficial Google Data Science Blog

APRIL 19, 2021

by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. While calibration seems like a straightforward and perhaps trivial property, miscalibrated models are actually quite common. Why calibration matters What are the consequences of miscalibrated models?

Modeling 122

Modeling IT Metrics Testing 122

CIO Business Intelligence

APRIL 28, 2024

However, new energy is restricted by weather and climate, which means extreme weather conditions and unpredictable external environments bring an element of uncertainty to new energy sources. We also need to create space for market-oriented interaction. This includes participating in peak regulation according to user market behavior.

Interactive 95

Interactive Uncertainty Data Collection IoT 95