IBM Big Data Hub

MARCH 13, 2024

Our research shows that 42% of large enterprises have AI actively deployed while another 40% are in the experimentation phase (source: IBM Global AI Adoption Index ). Promoting collaboration and information sharing surfaces risks sooner—and helps the international community mitigate those risks faster.

Experimentation 74

Experimentation Risk Machine Learning Technology 74

Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. This also achieves workload isolation, so we can run mission critical workloads independent from experimental and exploratory ones and nobody steps on anyone’s toes by accident. appeared first on Cloudera Blog.

Data Warehouse 87

Data Warehouse Experimentation Cost-Benefit Dashboards 87

DataRobot Blog

MARCH 16, 2023

Why model-driven AI falls short of delivering value Teams that just focus model performance using model-centric and data-centric ML risk missing the big picture business context. New Snowflake integrations and the SAP joint solution have tightened the data to experimentation to deployment loop. blog series and deep dive into the new 9.0

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

Decision Management Solutions

MARCH 26, 2020

We’ve been blogging recently on Decision Optimization. Some approaches have never been tried on certain segments – higher risk customers might never have been targeted with price reductions, say. Experimentation at the beginning of your journey is essential to make sure you understand where you are starting.

Experimentation 72

Experimentation Recreation/Entertainment Optimization Testing 72

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 72

Metadata Risk Experimentation Dashboards 72

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

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

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan’s Athena uses Python-based open-source AI to innovate risk management.

Deep Learning 66

Deep Learning Experimentation Machine Learning Risk 66

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. Otherwise, the risks become too significant.

Enterprise 99

Enterprise ROI Risk Strategy 99

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 78

Cost-Benefit Testing Machine Learning Optimization 78

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

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 98

Metadata Risk Risk Management Experimentation 98

Domino Data Lab

MAY 15, 2019

While the talk provides both organizational foundations for machine learning as well as product management insights to consider when shipping ML projects, I will be focusing on the latter in this blog post. These steps also reflect the experimental nature of ML product management. more probabilistic rather than deterministic).

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

DataRobot Blog

NOVEMBER 15, 2022

At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. This allows GCash to maintain the pace of innovation and iteration without exposing the business to significant risk. Closing the Value Gap: Reducing AI Cycle Time. Request a demo.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

IBM Big Data Hub

DECEMBER 4, 2023

And the abundance of data available for training models has opened up vast possibilities for experimentation and learning. Ensuring that generative AI models adhere to ethical guidelines and that adequate processes are in place to mitigate risks and biases is essential.

Experimentation 64

Experimentation Modeling Metrics Machine Learning 64

Cloudera

MAY 31, 2023

For all the good that generative AI services can bring to your company, they don’t do so without their own set of risks and downsides. In this blog, we will delve into these pressing issues, and also provide you with enterprise-ready alternatives. This AMP is a demonstration of the RAG solution discussed in this blog.

Enterprise 74

Enterprise Data Processing Experimentation Modeling 74

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. Managing Cloud Concentration Risk. appeared first on Cloudera Blog. The post Why Choose a Hybrid Data Cloud in Financial Services?

Slice and Dice 113

Slice and Dice Cost-Benefit Risk Data Governance 113

Ontotext

MAY 31, 2023

The traditional approach to identifying new targets involves extensive experimentation and trial-and-error, which is often time-consuming, costly and may not yield desirable results. Novel target identification Novel target identification is a crucial step in drug discovery and development.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

DataRobot

JANUARY 20, 2022

— Collaborating via Snowflake Data Cloud and DataRobot AI Cloud Platform will enable multiple organizations to build a community movement where experimentation, innovation, and creativity flourish. Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence.

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Data-driven Experimentation Modeling Predictive Modeling 145

CIO Business Intelligence

JULY 11, 2023

In this blog post, we will delve deeper into each of these principles and provide concrete examples to illustrate their importance. For example, a good result in a single clinical trial may be enough to consider an experimental treatment or follow-on trial but not enough to change the standard of care for all patients with a specific disease.

Modeling 66

Modeling Testing Experimentation Risk Management 66

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 86

Risk Cost-Benefit Strategy Experimentation 86

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 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

DataKitchen

MARCH 8, 2023

This requires a culture of innovation, experimentation, and willingness to take risks and try new approaches. It is not enough to just deploy to production quickly; teams need to lower the risk of deployment failure. The team must be agile and flexible, able to pivot quickly and adapt to new challenges.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

DataRobot Blog

MARCH 7, 2023

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. With built-in compliance documentation and automated governance, the DataRobot AI Platform lets regulated industries scale AI with unprecedented speed and confidence.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

IBM Big Data Hub

MAY 25, 2023

Generative AI has progressed quickly beyond experimentation; businesses are embracing it to improve customer service, seize new market opportunities and more. At the same time, there are reasonable concerns about how to mitigate bias, manage data security, and factor in precision and risk.

Consulting 101

Consulting Experimentation Machine Learning Modeling 101

IBM Big Data Hub

DECEMBER 14, 2023

The extension of the CIO office’s dedicated data center to the IBM public cloud allowed for experimentation and growth with zero risk. The blog post “ How to use VPN with a VPC hub-and-spoke architecture ” describes the project. I wrote two blog posts about account cleanup.

Experimentation 67

Experimentation Testing Software Management 67

Jedox

SEPTEMBER 11, 2019

Experimental” Technology. Is AI truly experimental technology? This is not just risk mitigation. Learn more about how your organization can find the right starting point for AI in FP&A with our eBook on digital finance and read about a real-world AI use case in our blog. In most cases, the answer is no.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

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 solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Depict Data Studio

OCTOBER 26, 2021

In this blog post, you’ll learn from Elizabeth Dove. 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! Elizabeth is a professor at the University of Montana who teaches art and design.

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

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 93

Experimentation Modeling Finance Reporting 93

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Here, they and others share seven ways to create and nurture a culture of innovation.

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Experimentation Consulting Technology Machine Learning 122

DataRobot Blog

JANUARY 17, 2023

Not actually being a machine learning problem: Value-at-Risk modeling is the classic example here—VaR isn’t a prediction of anything, it’s a statistical summation of simulation results. As discussed, we massively accelerate that process of experimentation. This is known in academia as the “cold start problem.”

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

DataRobot Blog

MARCH 16, 2023

We are offering customers rapid experimentation and value identification, with both code-first and no-code approaches. We are stepping boldly into this new era of Value-Driven AI and unveiling new technology breakthroughs , deeper ecosystem partnerships and redesigned service offerings aimed at closing the last mile gap from vision to value.

Experimentation 52

Experimentation Data-driven Measurement Enterprise 52

Cloudera

APRIL 26, 2023

In the blogs that follow, as part of this multi-part series, we will shed light on the latest and greatest features released via Cloudera Data Platform (CDP) Private Cloud Data Services. The post Building Cloud Native Data Apps on Premises appeared first on Cloudera Blog.

Cost-Benefit 64

Cost-Benefit Optimization Experimentation Machine Learning 64

Sisense

JANUARY 21, 2020

A new drug promising to reduce the risk of heart attack was tested with two groups. When the data is combined, it seems that the drug reduces the risk of getting a heart attack. In addition, men are at a greater risk of having a heart attack, overall. It also reduced their risk of heart attack. of men took the drug).

Testing 104

Testing Risk Data-driven Statistics 104

Alation

DECEMBER 20, 2022

No place is the risk higher than data. These organizations use experimentation and constant market testing to learn and invest. Subscribe to Alation's Blog. This issue is why balanced scorecards have a forward component called “learn and grow.” Parting Words. Get the latest data cataloging news and trends in your inbox.

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Digital Transformation Scorecard Measurement Experimentation 96