CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. And those experiments have paid off.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

Decision Management Solutions

MARCH 26, 2020

We’ve been blogging recently on Decision Optimization. The Customer Journey to Decision Optimization. Those trying to improve and optimize their decisions report various challenges. Some approaches have never been tried on certain segments – higher risk customers might never have been targeted with price reductions, say.

Experimentation 72

Experimentation Recreation/Entertainment Optimization Testing 72

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. In financial services, fast-moving data is critical for real-time risk and threat assessments. We get optimized price/performance on complex workloads over massive scale data.

Data Warehouse 90

Data Warehouse Experimentation Cost-Benefit Dashboards 90

DataKitchen

DECEMBER 1, 2022

DataOps is also about enabling teams to work together more efficiently across organizations and departments to continuously build upon each other’s work and get insights faster; this helps maximize the team’s productivity while minimizing risk.

Experimentation 130

Experimentation Data-driven Risk Optimization 130

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.

Cost-Benefit 80

Cost-Benefit Testing Machine Learning Optimization 80

CIO Business Intelligence

DECEMBER 19, 2023

If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

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 106

IT Digital Transformation IoT Cost-Benefit 106

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. Challenges around managing risk and reputation Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are starting to demand it.

Metadata 80

Metadata Risk Experimentation Dashboards 80

CIO Business Intelligence

DECEMBER 29, 2023

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. While there remains a lot we don’t fully understand about AI, including its associated risks, there are many opportunities to take advantage of moving forward in business and life,” he says.

Cost-Benefit 140

Cost-Benefit Digital Transformation Consulting Strategy 140

CIO Business Intelligence

JANUARY 9, 2024

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. Knowing these lessons before generative AI adoption will likely save time, improve outcomes, and reduce risks and potential costs.

Enterprise 119

Enterprise Experimentation Modeling Data-driven 119

CIO Business Intelligence

NOVEMBER 7, 2022

Have business leaders defined realistic success criteria and areas of low-risk experimentation? The lab infrastructure used to develop models, and the lower scale required to pilot an AI capability, may not be the optimal production infrastructure. Are they involved in pilots and providing feedback?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

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. Platforms and practices not optimized for AI.

Metadata 103

Metadata Risk Risk Management Experimentation 103

CIO Business Intelligence

JULY 3, 2023

Rather than relying on APIs provided by firms such as OpenAI and the risks of uploading potentially sensitive data to third-party servers, new approaches are allowing firms to bring smaller LLMs inhouse. However, the AI future for many enterprises lies in building and adapting much smaller models based on their own internal data assets.

Management 106

Management Experimentation Modeling Enterprise 106

Ontotext

JULY 6, 2023

Let’s consider an example about risk and opportunity event detection. Case studies The risk and opportunity event detection use case discussed above combines all of Ontotext’s capabilities: storing and managing large amounts of data adding meaning to it (e.g.,, The business benefits here are also significant.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

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. in concert with Microsoft’s AI-optimized Azure platform.

Risk 141

Risk Manufacturing Enterprise Technology 141

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants. Data and AI as digital fundamentals.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

IBM Big Data Hub

DECEMBER 5, 2023

This data tracks closely with a recent IDC Europe study that found 40% of worldwide retailers and brands are in the experimentation phase of generative AI, while 21% are already investing in generative AI implementations. The impact of these investments will become evident in the coming years. trillion on retail businesses through 2029.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

CIO Business Intelligence

FEBRUARY 14, 2024

“People aren’t going back and decluttering because there’s no cost to that — except in your risk profile and your decreased search performance,” says Buckley. Introduce gen AI capabilities without thinking about data hygiene, he warns, and people will be disillusioned when they haven’t done the pre work to get it to perform optimally.

IT 143

IT Metadata Data-driven Management 143

CIO Business Intelligence

JUNE 28, 2023

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. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

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. A decision framework to automate and optimize workload execution. Managing Cloud Concentration Risk.

Slice and Dice 116

Slice and Dice Cost-Benefit Risk Data Governance 116

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

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.

Enterprise 52

Enterprise Experimentation Risk Data-driven 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.

Experimentation 103

Experimentation Modeling Finance Reporting 103

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. And you, as the product manager, are caught between them.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

MARCH 7, 2023

Oliver Wittmaier, CIO and product owner at DB SYSTEL GmbH DB SYSTEL GmbH Content generation is also an area of particular interest to Michal Cenkl, director of innovation and experimentation at Mitre Corp. “I Michal Cenkl, director of innovation and experimentation, Mitre Corp. Mitre Corp. The technology also needs human oversight.

Enterprise 116

Enterprise IT Experimentation Unstructured Data 116

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. One instance of how that exploration led to real business benefits was with the application of machine learning to predict optimal product formulation using a set of desired consumer benefits. Here, they and others share seven ways to create and nurture a culture of innovation.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

CIO Business Intelligence

OCTOBER 9, 2023

Hyatt’s experimental mindset and listen-first approach are heavily applied to IT’s pursuit of innovation, he says. That’s a pitfall, and it is critical to always have a very comprehensive risk assessment practice in place,” Renganathan says. “We That meant having to let “the urgent things interrupt the important things,” he says.

Strategy 137

Strategy Technology Experimentation Testing 137

IBM Big Data Hub

DECEMBER 14, 2023

It is very easy to turn a terraform template into a deployable architecture and open the door to cost optimization, compliance management, self-service, standardization and repeatability. The extension of the CIO office’s dedicated data center to the IBM public cloud allowed for experimentation and growth with zero risk.

Experimentation 75

Experimentation Testing Software Management 75

CIO Business Intelligence

JUNE 12, 2023

Shoots wide of the target With generative AI, where functionality can be built into other parts, the focus is now on things like predictive analysis and energy optimization by finding deviations in the property data that Bravida collects. “We’ve used other methods such as robotization and low code.”

Sales 52

Sales Machine Learning Experimentation Deep Learning 52

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. Clinics and hospitals like Phoenix Children’s use AI to predict which patients are at risk of contracting an illness so that they can then prescribe medication and treatment accordingly. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

FineReport

DECEMBER 11, 2019

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 Michael Milton. – Data Divination: Big Data Strategies.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

CIO Business Intelligence

JUNE 27, 2022

It’s not perfect by any means, and we are continuously breaking our own product, but it’s optimized for shipping new features to customers as quickly as we can. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here. Is it still true today? .

Software 115

Software Experimentation Testing Marketing 115

Ontotext

NOVEMBER 2, 2023

The data itself is stored in a way that is not optimal for extracting insight. And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

Domino Data Lab

JANUARY 24, 2019

These data scientists require the flexibility to use a constantly-evolving software and hardware stack to optimize each step of their model lifecycle. For example, an insurance company could task a team of expert data scientists to work collaboratively in a code-first platform to develop their proprietary claims risk models.

Data Science 65

Data Science Marketing Data-driven Statistics 65

CIO Business Intelligence

APRIL 24, 2024

That includes many technologies based on machine learning, such as sales forecasting, lead scoring and qualification, pricing optimization, and customer sentiment analysis. We’re mostly still optimizing our sales and marketing processes with CRM tools,” he says. A CFO would just say to wait and see what the risks are,” he says.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

Experimentation 95

Experimentation Statistics Testing Strategy 95

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 363

Management Experimentation B2B Machine Learning 363