CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. Consider the following: Do you need a public foundation model?

Enterprise 107

Enterprise ROI Risk Strategy 107

CIO Business Intelligence

MAY 14, 2024

Like many public health agencies across the US, the King County Medical Examiner’s Office tracks drug overdose deaths to target interventions for populations at risk and save lives. During the second phase, NLP and ML models created and trained by the King County Department of IT extract the pertinent information from these digitized reports.

Deep Learning 91

Deep Learning Machine Learning Reporting Experimentation 91

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Models also become stale and outdated over time.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

NOVEMBER 7, 2022

A developing playbook of best practices for data science teams covers the development process and technologies for building and testing machine learning models. CIOs and CDOs should lead ModelOps and oversee the lifecycle Leaders can review and address issues if the data science teams struggle to develop models.

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

CIO Business Intelligence

JULY 3, 2023

But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality. These models can extract meaning from digital data at scale and speed beyond the capabilities of human analysts. The application of LLMs to an organization’s knowledge assets has the potential to accelerate these trends.

Management 105

Management Experimentation Modeling Enterprise 105

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. The impact of these investments will become evident in the coming years.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

Cloudera

JANUARY 28, 2022

Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. However, one strategy is consistently discussed and deployed – a hybrid data cloud. Focus on Business Strategy First.

Slice and Dice 116

Slice and Dice Cost-Benefit Risk Data Governance 116

CIO Business Intelligence

DECEMBER 7, 2023

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation. Likewise, they realize that human talent will be central to success.

Insurance 89

Insurance Experimentation Finance Data Governance 89

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

Cloudera

OCTOBER 18, 2023

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation. Automated documentation generation: Generating documentation is time consuming and tedious.

Cost-Benefit 80

Cost-Benefit Testing Machine Learning Optimization 80

IBM Big Data Hub

MAY 25, 2023

The Center of Excellence (CoE) already has more than 1,000 consultants with specialized generative AI expertise that are engaging with a global set of clients to drive productivity in IT operations and core business processes like HR or marketing, elevate their customer experiences and create new business models.

Consulting 108

Consulting Experimentation Machine Learning Modeling 108

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 105

IT Digital Transformation IoT Cost-Benefit 105

Smarten

MAY 17, 2023

Whether you are looking at ChatGPT or Open AI and wondering how it might be applied to your business environment, it is important to understand the current state of this technology, the inherent risks and the possible opportunities. “So, proceed, but don’t over pivot.” “So, proceed, but don’t over pivot.”

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

CIO Business Intelligence

DECEMBER 29, 2023

Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. CIOs will feel pressure to help develop strategies around it to stay ahead of competitors and enable their business.”

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

CIO Business Intelligence

FEBRUARY 21, 2024

For example, top researchers at Florida State University are now developing innovative large language models (LLMs) to help advance research in areas like material science and healthcare — going beyond gen AI used by the general public. We developed a model to predict student outcomes based on metrics from historical evidence,” he says. “We

Recreation/Entertainment 135

Recreation/Entertainment Experimentation Modeling Data-driven 135

CIO Business Intelligence

JULY 6, 2022

Laying the foundation for its cloud strategy, BNY Mellon undertook a multi-year application modernization effort. “In On BNY Mellon’s cloud strategy: First and foremost, we view cloud as a journey, not a destination. Today, our strategy is to have a multi-cloud approach. What follows are edited excerpts of that conversation.

Experimentation 98

Experimentation Strategy Testing Risk 98

CIO Business Intelligence

NOVEMBER 13, 2023

Develop a clear strategy: A clear strategy that outlines goals and objectives, timelines, and resources required is essential for digital transformation success. Foster a culture of innovation: Digital transformation requires innovation and experimentation, and thus a culture for embracing new technologies and ideas.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

CIO Business Intelligence

AUGUST 17, 2023

But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. Generative AI is a key part of our business strategy, facilitating growth with AI-enabled processes already live in production,” he says.

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. CarMax CITO Shamim Mohammed confirms his company was using OpenAI’s GPT-3.x

Risk 141

Risk Manufacturing Enterprise Technology 141

Ontotext

MAY 31, 2023

The link prediction models are based on the so-called Knowledge Graph Embeddings, which relying on knowledge graph technology. With the help of link prediction models, the graph can be enriched with new information, which is otherwise inaccessible to scientists. How does it work? What are the benefits of Ontotext’s method?

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

DataRobot Blog

JANUARY 17, 2023

Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices. For price discovery (e.g.,

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

CIO Business Intelligence

JULY 27, 2023

With the ability to instantaneously ingest reams of data using large language models (LLMs), generative AI technologies such as OpenAI’s ChatGPT and Google’s Bard can produce reports, contracts, and application code far surpassing earlier technologies in speed, accuracy, and thoroughness. Other CIOs have adopted similar strategies.

IT 98

IT Insurance Strategy Risk 98

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 96

Cost-Benefit Modeling Manufacturing Interactive 96

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says. By providing your employees with psychological safety, an innovation-centric purpose, and encouragement — you can help them find the courage to risk failure in pursuit of creative ambition.”

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

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 105

Digital Transformation Cost-Benefit Informatics Data mining 105

CIO Business Intelligence

MAY 16, 2023

To gain perspective, Iron Mountain sponsored research by Quadrant Strategies, which used digital listening technologies to study public online conversation trends among enterprise decision-makers. It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises.

Advertising 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

Smart Data Collective

FEBRUARY 4, 2020

Current R&D Models Provide Diminishing Returns. Of all clinical trial failures between 2013 and 2015, 24% of new drugs were rejected due to safety concerns and 15% were rejected due to an incompatible corporate strategy (not profitable enough, the company was acquired mid-trial or went bankrupt, etc.).

Experimentation 100

Experimentation Testing Modeling Strategy 100

Alation

DECEMBER 20, 2022

To remain relevant, organizations seek “ digital transformation ,” a business philosophy steeped in change and in which technology plays a heavy hand supporting business models and value propositions. Failing to measure the impact of digital transformation against corporate strategies and OKRs. No place is the risk higher than data.

Digital Transformation 96

Digital Transformation Scorecard Measurement Experimentation 96

Data Science 101

OCTOBER 15, 2023

This problem can be witnessed in the business strategies of QC companies. Others like Rigetti and IonQ went public early (the former risking delisting and the latter a huge SPAC). That’s going to use the various existing computing technology in and around the experimentation of this new capability. That’s a risk.

Risk 107

Risk Marketing Consulting Technology 107

Depict Data Studio

OCTOBER 26, 2021

This is referred to as “non-destructive” editing in the digital imaging world, and it is such a great feature for experimentation and creativity, because you risk nothing! It helps you – the presenter – organize and clarify your thoughts since they fit this visual model. Creating Cohesive Title Slides. Simple enough, right?

Visualization 116

Visualization Experimentation Software Strategy 116

DataRobot Blog

AUGUST 10, 2022

NHS organisations are used to using workforce KPIs to manage staffing levels, but the real opportunity is being able to identify staff that are at risk of leaving post and to implement strategies to retain their much needed talent. Resetting urgent care performance and delivery. Improving patient outcomes through a data-first approach.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

CIO Business Intelligence

OCTOBER 1, 2022

It has moved past what Cretella calls the “experimentation phase” with scaled solutions and increasingly sophisticated AI applications. Data and AI have since become central to the company’s digital strategy. “We P&G took the first steps in its AI journey more than five years ago.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

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. Infosys Living labs is a set of well-orchestrated innovation services for future-proofing customer businesses and de-risking their emerging technology transformations.

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

FineReport

DECEMBER 11, 2019

– Data Divination: Big Data Strategies. Effective use of big data helps companies analyze critical information more accurately, ultimately improving operational efficiency, reducing costs, reducing risk, accelerating innovation, and increasing revenue. By Pam Baker and Bob Gourley. Big data is changing our world.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98