CIO Business Intelligence

MARCH 12, 2024

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. But early returns indicate the technology can provide benefits for the process of creating and enhancing applications, with caveats.

Software 131

Software Experimentation Testing Cost-Benefit 131

CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. Gen AI projects can cost millions of dollars to implement and incur huge ongoing costs, Gartner notes. For example, a gen AI virtual assistant can cost $5 million to $6.5

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

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. And those experiments have paid off. Artificial Intelligence, IT Leadership

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

CIO Business Intelligence

NOVEMBER 21, 2023

Equally important is communicating with stakeholders how to onboard technology requests, sharing how departmental technology needs are prioritized, documenting stakeholder responsibilities when seeking new technologies, and providing the status of active programs.

IT 137

IT Risk Cost-Benefit Data Science 137

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. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.

Advertising 125

Advertising Cost-Benefit Experimentation Reporting 125

CIO Business Intelligence

DECEMBER 19, 2023

Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. Create these six generative AI workstreams CIOs should document their AI strategy for delivering short-term productivity improvements while planning visionary impacts.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

AWS Big Data

JUNE 11, 2024

Each index shard may occupy different sizes based on its number of documents. In addition to the number of documents, one of the important factors that determine the size of the index shard is the compression strategy used for an index. As part of an indexing operation, the ingested documents are stored as immutable segments.

Optimization 87

Optimization Experimentation Cost-Benefit Software 87

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

CIO Business Intelligence

APRIL 2, 2024

HBR’s “ The Value of Digital Transformation ” reports, “While 89% of large companies globally have a digital and AI transformation underway, they have only captured 31% of the expected revenue lift and 25% of expected cost savings from the effort.” While the CIO sees the big picture, their peers need to know how the change will benefit them.”

Management 140

Management Digital Transformation Testing Experimentation 140

CIO Business Intelligence

MAY 30, 2024

Plus, it’s used to speed up procurement analysis and insights into negotiation strategies, and reduce hiring costs with resume screening and automated candidate profile recommendations. Having overcome the initial perplexity about ChatGPT, Maffei tested gen AI in coding activity and found great benefits.

Cost-Benefit 120

Cost-Benefit Sales Modeling Experimentation 120

Cloudera

OCTOBER 18, 2023

And just as financial services experiences its cycles, this time of year I find myself returning to the topic of cost reduction. These cutting-edge technologies provide lower-cost alternatives for discovering efficiencies within financial operations, all while enhancing the quality of services offered.

Cost-Benefit 79

Cost-Benefit Testing Machine Learning Optimization 79

Sisense

SEPTEMBER 30, 2020

When creating a resource and community to help developers get the most out of your product, it’s important to empower them to contribute to developer documentation and not just have all your content coming from product or tech writers. Remember, the people who are writing documentation are not necessarily experts at visual design.)

Data Processing 52

Data Processing Experimentation Cost-Benefit Marketing 52

AWS Big Data

JANUARY 9, 2024

Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word. Semantic search doesn’t match individual query terms—it finds documents whose vector embedding is near the query’s embedding in the vector space and therefore semantically similar to the query.

Visualization 106

Visualization Cost-Benefit Modeling Machine Learning 106

CIO Business Intelligence

AUGUST 21, 2024

The previous state-of-the-art sensors cost tens of thousands of dollars, adds Mattmann, who’s now the chief data and AI officer at UCLA. Then there’s the risk of malicious code injections, where the code is hidden inside documents read by an AI agent, and the AI then executes the code. They also had extreme measurement sensitivity.

Risk 136

Risk Insurance Cost-Benefit Software 136

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. That turns generic documentation into conversational programming where the AI can take your data and show you how to write a query, for example.

Modeling 111

Modeling Testing Cost-Benefit Experimentation 111

AWS Big Data

SEPTEMBER 13, 2024

Publicly documented examples include the usage of satellite imagery of mall parking lots to estimate trends in consumer behavior and its impact on stock prices. Jupyter notebooks are interactive computing environments that allow users to create and share documents containing live code, equations, visualizations, and narrative text.

Interactive 86

Interactive Strategy Cost-Benefit Data Governance 86

Domino Data Lab

AUGUST 6, 2021

With a framework and Enterprise MLOps, organizations can manage data science at scale and realize the benefits of Model Risk Management that are received by a wide range of industry verticals. Benefits of Enterprise MLOps and Model Risk Management. There are, however, a variety of other benefits for every model-driven business.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

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. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

CIO Business Intelligence

AUGUST 17, 2023

In general, we see a small number of organizations using generative AI based on a strategy or plan, shaped by clear policies, and a lot of grassroots experimentation, but that’s almost always happening in a strategy vacuum.” That said, I believe once these barriers are overcome, benefits-led implementation will be swift.”

Risk 98

Risk Cost-Benefit Strategy Unstructured Data 98

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. forums, documentation, customer support) can also be invaluable for troubleshooting issues and sharing knowledge.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

DataRobot Blog

JANUARY 12, 2023

This service is managed by DataRobot and eliminates the time and cost of on-premises deployment, in addition to removing the challenges of deploying, upgrading, scaling, and managing an infrastructure in-house. Benefits of Seamless DataRobot AI and Google Cloud Services Integration. Delivering more than 1.4

Management 59

Management Data-driven ROI Data Science 59

Ontotext

NOVEMBER 2, 2023

It can be accomplished at a fraction of the cost of what organizations spend each year supporting the vast industry of data integration workarounds. 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.

IT 69

IT Cost-Benefit Data-driven Technology 69

Cloudera

MAY 31, 2023

There are many benefits to these new services, but they certainly are not a one-size-fits-all solution, and this is most true for commercial enterprises looking to adopt generative AI for their own unique use cases powered by their data. Sam Altman, Open AI’s CEO, estimates the cost to train GPT-4 to be over $100 million.

Enterprise 74

Enterprise Data Processing Machine Learning Experimentation 74

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 89

Cost-Benefit Manufacturing Modeling Interactive 89

Domino Data Lab

JULY 2, 2019

People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. The query graph gets used for optimizing the generated application code in terms of parallelization, compute time costs, memory resources, etc. That represents runtime overhead.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

CIO Business Intelligence

JULY 31, 2023

Some are expecting cost savings using this technology, but there’s also the expectation that they’ll find ways to incorporate this technology [into their company’s products] to strengthen their offerings,” Carmichael adds. “You This is an issue for CIOs. CIOs should first and foremost establish a clear roadmap for implementing generative AI.

Strategy 98

Strategy Risk Enterprise Risk Management 98

Ontotext

AUGUST 8, 2024

It provides multiple benefits to these labs, which produce data that will unlock the next frontier in human health. In my opinion, what prevents these labs from accessing the benefits of a knowledge graph comes down to inertia. We often hear that the pace of innovation is directly related to the pace of iteration or experimentation.

Informatics 64

Informatics Snapshot Software Testing 64

AWS Big Data

JULY 26, 2023

Exploring the vector engine’s capabilities Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture. An index is a collection of documents with a common data schema and provides a way for you to store, search, and retrieve your vector embeddings and other fields.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

AUGUST 22, 2019

Common natural language preprocessing options include: Tokenization: This is the splitting of a document (e.g., Execute gutenberg.fileids() to print the names of all 18 documents.) As we wrap up the section later on, we’ll apply the steps across the entire 18-document corpus. A major benefit of fastText. this chapter.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 364

Marketing Experimentation Metrics Testing 364

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 45

Statistics Optimization Modeling Experimentation 45

CIO Business Intelligence

OCTOBER 4, 2023

One of the first things they built was an HR chatbot, which provided benefits recommendations that unnecessarily exposed them to massive liability. For example, if the HR tool recommended the wrong option, an employee could miss the benefits window for an entire year. Then there are transitional costs, he says.

Cost-Benefit 141

Cost-Benefit Manufacturing Machine Learning Experimentation 141

CIO Business Intelligence

MAY 20, 2024

This knowledge, generated through observation, reflection, study, and social interaction, led to a new companywide policy: “Let the grinder warm up for 15 minutes,” resulting in millions of dollars of extra profit at no additional cost. The study documents “substantial returns to face-to-face meetings … (and) returns to serendipity.”

Management 122

Management Interactive Measurement Marketing 122

Corinium

APRIL 25, 2019

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. Ideally the decision of how to protect data should be treated like any other data governance policy. That’s the reward.

Insurance 150

Insurance Risk IoT Data-driven 150

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Why do we care? Evaluating over Multiple Hyperparameters.

Testing 79

Testing Modeling Machine Learning Metrics 79

CIO Business Intelligence

OCTOBER 10, 2024

If they dump a pilot that’s not meeting expectations too soon, they may miss out on huge benefits down the line, but if they hang on too long, they can waste huge amounts of time, money, and resources. On the one side, Forrester recently warned organizations not to look for AI ROI too soon, because they could miss out on AI’s benefits.

ROI 135

ROI Experimentation Cost-Benefit Metrics 135

CIO Business Intelligence

NOVEMBER 19, 2024

This stark contrast between experimentation and execution underscores the difficulties in harnessing AI’s transformative power. High costs Failing: The infrastructure and computational costs for training and running GenAI models are significant. Key takeaway: Cost management strategies are crucial for sustainable AI deployment.

Consulting 137

Consulting Cost-Benefit Experimentation Optimization 137