CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 127

IT Risk Cost-Benefit Risk Management 127

Decision Management Solutions

DECEMBER 17, 2021

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

Modeling 52

Modeling Experimentation Visualization Risk 52

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. Let’s start with the models. And those experiments have paid off.

Experimentation 117

Experimentation Strategy Machine Learning Interactive 117

CIO Business Intelligence

MAY 16, 2024

One example it offered is that employees often struggle with basic elements such as translating their understanding of what is required for process orchestration into the industry standard graphical language, Business Process Modeling Notation (BPMN). This has led to big claims that run the risk of hype and disappointment down the line.

Experimentation 92

Experimentation Machine Learning Technology Modeling 92

CIO Business Intelligence

APRIL 14, 2023

But just like other emerging technologies, it doesn’t come without significant risks and challenges. According to a recent Salesforce survey of senior IT leaders , 79% of respondents believe the technology has the potential to be a security risk, 73% are concerned it could be biased, and 59% believe its outputs are inaccurate.

Risk 115

Risk Experimentation Marketing Risk Management 115

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. Data exists in ever larger silos, but real knowledge still resides in employees.

Management 102

Management Experimentation Modeling Enterprise 102

O'Reilly on Data

MARCH 31, 2020

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. 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.

Management 339

Management Machine Learning Experimentation Metrics 339

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Reflections. The three segments that have crystallized are: Automation tools. Automation Tools.

Data Science 65

Data Science Marketing Data-driven Statistics 65

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 99

Consulting Experimentation Machine Learning Modeling 99

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

IBM Big Data Hub

DECEMBER 4, 2023

The surge in adoption of generative AI is happening in organizations across every industry, and the generative AI market is projected to grow by 27.02% in the next 10 years according to Precedence Research. And the abundance of data available for training models has opened up vast possibilities for experimentation and learning.

Experimentation 63

Experimentation Metrics Modeling Machine Learning 63

CIO Business Intelligence

FEBRUARY 21, 2024

If you don’t know these tools, you’re at a disadvantage in the job market.” 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.

Recreation/Entertainment 122

Recreation/Entertainment Experimentation Modeling Data-driven 122

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 79

Cost-Benefit Testing Machine Learning Optimization 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 92

IT Digital Transformation IoT Cost-Benefit 92

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 89

Cost-Benefit Modeling Manufacturing Interactive 89

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 60

Insurance Experimentation Finance Data Governance 60

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. We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks.

Risk 87

Risk Cost-Benefit Strategy Experimentation 87

Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior. With this, we can reduce customer churn and overall network operational costs.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

CIO Business Intelligence

MARCH 7, 2023

OpenAI’s text-generating ChatGPT, along with its image generation cousin DALL-E, are the most prominent among a series of large language models, also known as generative language models or generative AI, that have captured the public’s imagination over the last year. And, he says, using generative AI for coding has worked well.

Enterprise 111

Enterprise IT Experimentation Unstructured Data 111

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 90

Unstructured Data Cost-Benefit Experimentation Machine Learning 90

Data Science 101

OCTOBER 15, 2023

Others like Rigetti and IonQ went public early (the former risking delisting and the latter a huge SPAC). It’s essential to understand the capital markets and where funding comes from for Deep Tech (or “Frontier Tech” as I like to call it). As this dictates product release cycles, PR and marketing, hiring, etc. That’s a risk.

Risk 107

Risk Marketing Consulting Technology 107

DataRobot Blog

OCTOBER 18, 2022

Monitoring and Managing AI Projects with Model Observability. Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. DataRobot Booth at Big Data & AI Toronto 2022. Monitoring with Machine Learning.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

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 130

Risk Manufacturing Enterprise Technology 130

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 82

Digital Transformation Cost-Benefit Informatics Data mining 82

CIO Business Intelligence

APRIL 26, 2023

“Startup” means risk. Regardless, new business ventures work under pressure to research, refine, and deliver an idea to the market. But despite the high risk/reward framework, these Victory-or-Bust ventures don’t have the market cornered on agility and innovation. Why not both? The alternative is shuttering for good.

Technology 52

Technology Marketing Experimentation Modeling 52

IBM Big Data Hub

FEBRUARY 1, 2024

In recent years, CBDCs have been positioned as a viable remedy to current inefficiencies in financial markets, as they can promote innovation, more effectively aid inclusion in payment systems and reduce settlement delays, costs, and counterparty risks. They also meet and exceed the CBDC performance and scalability requirements.

Experimentation 91

Experimentation Modeling Finance Reporting 91

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. It will return options.

IT 82

IT Insurance Strategy Risk 82

DataRobot Blog

MARCH 16, 2023

Artificial intelligence is undoubtedly having a moment – and in response to market hype and increased AI investments, we’re even seeing tech companies reinvent themselves with AI identities. We are offering customers rapid experimentation and value identification, with both code-first and no-code approaches.

Experimentation 52

Experimentation Data-driven Measurement Enterprise 52

CIO Business Intelligence

JULY 6, 2022

Our strategy is essentially to leverage the public cloud’s economies of scale, to drive business value, to lower risk, to increase resiliency, and really to ensure our infrastructure is evergreen. This includes scaling during market events, avoiding missing windows, avoiding missing service-level agreements.

Experimentation 82

Experimentation Testing Strategy Risk 82

CIO Business Intelligence

JULY 31, 2023

1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US. Rapidly evolving risks Companies that have blocked the use of gen AI are finding that some workers are still testing it out. How has, say, ChatGPT hit your business model?”

Strategy 92

Strategy Risk Enterprise Risk Management 92

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 124

Experimentation Consulting Technology Machine Learning 124

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. AI Opportunities Generative AI is the basis for sophisticated AI models such as ChatGPT and Dall-E. Conversations suggest that AI is already transforming most major industries.

Advertising 82

Advertising Recreation/Entertainment Experimentation Enterprise 82

CIO Business Intelligence

JUNE 28, 2023

For all of generative AI’s allure, large enterprises are taking their time, many outright banning tools like ChatGPT over concerns of accuracy, data protection, and the risk of regulatory backlash. Experimentation with a use case driven approach. Caution is king. Looking forward.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

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. This includes closely monitoring emerging trends, foreseeing market threats, and generating business opportunities in every aspect of work.

Experimentation 77

Experimentation Data Lake Uncertainty Enterprise 77

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. Increasing revenue, going after a new market, etc., No place is the risk higher than data. But that future is already here.

Digital Transformation 96

Digital Transformation Scorecard Measurement Experimentation 96

CIO Business Intelligence

OCTOBER 1, 2022

It has moved past what Cretella calls the “experimentation phase” with scaled solutions and increasingly sophisticated AI applications. P&G balances the organization between central teams and teams embedded in its categories and markets. Data and AI as digital fundamentals.

Manufacturing 143

Manufacturing Digital Transformation IoT Internet of Things 143

CIO Business Intelligence

FEBRUARY 14, 2024

That’s not just about the cost of preparing a larger data set than you need, which takes expertise that’s still uncommon and commands a high salary, but also what you’re teaching the model. If you’ve got a hundred people doing experiments with AI and just one forgets to deprovision their instance, you’ve got a bill coming,” Mann says.

IT 140

IT Metadata Data-driven Management 140