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

CIO Business Intelligence

DECEMBER 19, 2023

Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

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

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. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability. Cost Management.

Slice and Dice 109

Slice and Dice Cost-Benefit Risk Data Governance 109

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

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 96

Unstructured Data Cost-Benefit Experimentation Machine Learning 96

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. 46% of survey respondents in 2024 showed a preference for open source models.

Cost-Benefit 99

Cost-Benefit Modeling Manufacturing Interactive 99

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Data and AI as digital fundamentals. The power of people.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Ontotext

NOVEMBER 2, 2023

The data itself is stored in a way that is not optimal for extracting insight. It can be accomplished at a fraction of the cost of what organizations spend each year supporting the vast industry of data integration workarounds. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.

Cost-Benefit 140

Cost-Benefit Metrics Insurance Measurement 140

CIO Business Intelligence

APRIL 24, 2024

The first use of generative AI in companies tends to be for productivity improvements and cost cutting. But there are only so many costs that can be cut. CIOs are well positioned to cut costs since they’re usually well acquainted with a company’s digital processes, having helped set them up in the first place.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

O'Reilly on Data

SEPTEMBER 15, 2020

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. Microsoft is heavily investing in AI capabilities and workflow integrations, so CIOs should expect and plan for improved capabilities.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

Cloudera

APRIL 26, 2023

These include data recovery service, quota management, node harvesting, optimizing TCO, and more. Not only does this deliver faster and richer data services that end users expect, but also enables IT teams to operate a well-oiled platform with benefits such as simpler management and improved security.

Cost-Benefit 63

Cost-Benefit Optimization Experimentation Software 63

IBM Big Data Hub

OCTOBER 20, 2023

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.

Machine Learning 83

Machine Learning Manufacturing Cost-Benefit Deep Learning 83

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

JUNE 6, 2023

The implication is that while some businesses are cutting costs and many tech companies are announcing layoffs, forward-looking enterprises are investing and collaborating with startups. CIOs should have plans for the upsides and also develop risk mitigation strategies. But CIOs should remain strategic.

Key Performance Indicator 105

Key Performance Indicator Cost-Benefit Enterprise Experimentation 105

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Other estimators, such as those based on matching and subclassification, may benefit from the balancing property, but the discussion of those estimators is postponed to a later post.

Statistics 44

Statistics Optimization Modeling Experimentation 44

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. Using generative AI for agent assistance can get you the productivity boost with less of the risk.

Modeling 111

Modeling Testing Cost-Benefit Experimentation 111

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. GraphDB 10 brings smarter and simpler cluster architecture enabling, among other benefits, best in class resilience and reduced infrastructure costs. His secondary objective was to ensure the U.S.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. GraphDB 10 brings smarter and simpler cluster architecture enabling, among other benefits, best in class resilience and reduced infrastructure costs. Typical memory usage is now 15% to 20% less.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

CIO Business Intelligence

MARCH 6, 2023

CIOs along with researchers, consultants, and advisors agree that IT must change itself, how it works and how it organizes its workers, if it wants to gain the most benefits out of cloud computing. Moreover, the digital services team, because it is centralized, does this more efficiently, saving costs she says.

IT 140

IT Strategy Cost-Benefit Consulting 140

Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. The query graph provides metadata that gets leveraged for optimizations at multiple layers of the relational database stack. SQL and Spark. That’s good stuff.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

AUGUST 26, 2019

When hyperparameters are also used for optimization and tuned for a specific dataset, they also impact predictive accuracy. Searching is a very general approach to solving or optimizing problems. I will continue using parameters (which are optimized during training) and hyperparameters (which are tuned via cross-validation).

Testing 79

Testing Modeling Machine Learning Metrics 79

Occam's Razor

OCTOBER 23, 2006

. ‡ Never start with clickstream, it becomes “old” quickly ‡ People care about their paychecks ‡ Execution strategy: ~ Identify Senior Management hot buttons ~ Exhibit daily that you can • increase revenue • trim costs • improve customer satisfaction.

Data-driven 117

Data-driven Metrics KPI Reporting 117

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 88

Cloudera

JANUARY 11, 2021

At the same time, Central IT must juggle cost and risk. In addition to the significant upfront costs of bringing a drug to market, competition between pharmaceutical companies to choose and launch the most impactful drugs is fierce. Use max settings as guardrails to prevent runaway costs, common mistakes when moving to cloud.

Data Warehouse 61

Data Warehouse Data Lake Cost-Benefit Machine Learning 61

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses.

Experimentation 61

Experimentation Testing Statistics Metrics 61

IBM Big Data Hub

SEPTEMBER 25, 2023

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. This allowed them to focus on SQL-based query optimization to the nth degree. Large, untested workloads run the risk of hogging all the resources.

OLAP 96

OLAP Data Lake Data-driven Snapshot 96

O'Reilly on Data

MAY 11, 2020

The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. And the cycle goes on.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190