Analytics Vidhya

JULY 17, 2023

Google is unveiling its latest experimental offering from Google Labs: NotebookLM, previously known as Project Tailwind. This innovative notetaking software aims to revolutionize how we synthesize information by leveraging the power of language models.

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CIO Business Intelligence

JANUARY 2, 2024

He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. Build better business alignment Multiple CIOs plan to strengthen their ties to other functional areas in ’24, building on the work they’ve done in recent years to create even more synergy. We’re piloting, PoC-ing.

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IT Cost-Benefit Statistics Consulting 144

CIO Business Intelligence

FEBRUARY 14, 2024

Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away. But it was.

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CIO Business Intelligence

JULY 28, 2023

In addition to bottom-line benefits, employees are often inspired and motivated by innovation – seeking job opportunities that encourage experimentation and embrace new ideas. Tight budgets and labor shortages have remained an ongoing challenge for IT leaders in 2023. A closed feedback loop with end users at this stage is critical as well.

IT 98

IT Experimentation Digital Transformation Marketing 98

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 105

IT Digital Transformation IoT Cost-Benefit 105

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. There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust.

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IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

JUNE 16, 2022

Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. If data is difficult to work with, experimentation slows down, and consequently, so does innovation. Here, I’ll discuss the most common cause of the innovation gap, and how to bridge it.

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Corinium

JANUARY 30, 2020

Ahead of her presentation at CDAO UK, we spoke with Quantum Metric’s Marina Shapira about predictive analytics, why companies should embrace a culture of experimentation how and CAOs and CXOs can work together effectively. What is behavioural research? And what role should it play in an organization's data and analytics strategy?

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Dataiku

JANUARY 30, 2024

With Generative AI top of mind for many companies, IT leaders have been tasked with figuring out how to make the most of this new technology through pilot use cases and experimentation.

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Experimentation Technology IT 111

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 Something that produces libraries and software is no different than searching GitHub,” he says. “We That’s incredibly powerful.”

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Enterprise IT Experimentation Unstructured Data 116

KDnuggets

DECEMBER 27, 2019

In this fourth and final part of the ultralearning data science series, it's time to take the final steps toward developing a deep understanding of the fundamentals and learning how to experiment -- the two aspects that are the ultimate keys to ultralearning.

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Experimentation Data Science IT 92

Dataiku

MAY 19, 2023

As highlighted by respondents in the 2023 Dataiku-sponsored IDC InfoBrief "Create More Business Value From Your Organizational Data,” a lack of effective technology, production-ready data pipelines, and an environment that facilitates smooth project transitions from experimentation to production are some of the key reasons.

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Experimentation IT Technology 52

CIO Business Intelligence

APRIL 26, 2023

Experimentation broadens expertise, particularly in a rapidly evolving field like technology where being able to learn many new skills is key to both career and enterprise success, he says. Is your organization giving its teams the training they need to keep pace with the latest industry developments?

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IT Experimentation Forecasting Technology 105

Cloudera

NOVEMBER 19, 2021

We recognise that experimentation is an important component of any enterprise machine learning practice. But, we also know that experimentation alone doesn’t yield business value. We are excited by the endless possibilities of machine learning (ML). Organizations need to usher their ML models out of the lab (i.e.,

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Machine Learning Modeling Experimentation IT 123

CIO Business Intelligence

JULY 27, 2023

If we don’t do anything about it, they will have no choice but to use it on their own,” says Chan, CIO of Avnet, a technology parts and services provider. Michele Goetz, vice president and principal analyst at Forrester Research, agrees. There is a fear of missing out. That could lead to compromised intellectual property and regulatory penalties.

IT 98

IT Insurance Strategy Risk 98

O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. Identifying the problem. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about.

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Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

MAY 14, 2024

In many US agencies, the use of AI is experimental. NASA has appointed David Salvagnini as its first chief AI officer (CIAO) in a move that underlines the expanding role artificial intelligence is expected to play in the agency’s programs. AI and NASA NASA’s use of AI goes back decades. A critical theme will be security.

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Experimentation Technology IT 111

Rocket-Powered Data Science

FEBRUARY 15, 2023

encouraging and rewarding) a culture of experimentation across the organization. Source: [link] Every business wants to get on board with ChatGPT, to implement it, operationalize it, and capitalize on it. It is important to realize that the usual “hype cycle” rules prevail in such cases as this.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

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. Human intervention is still necessary.

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Experimentation Strategy Machine Learning Interactive 130

Dataiku

DECEMBER 21, 2023

This is, of course, backed by the notion that many companies spent much of 2023 experimenting with it and are at the point where it’s time to move from theory and experimentation to more wide-scale implementation.

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Experimentation Enterprise Technology IT 83

CIO Business Intelligence

APRIL 12, 2024

Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say. But that’s just the tip of the iceberg for a future of AI organizational disruptions that remain to be seen, according to the firm.

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Experimentation Reporting Testing Statistics 143

CIO Business Intelligence

MARCH 12, 2024

Software and coding development remain a high-value area for experimentation, in addition to content development and knowledge management, in an effort to boost operational efficiencies,” he says. Junior developers are reporting the biggest productivity boosts, but this remains an area of active research and experimentation,” Tandon says.

Software 131

Software Experimentation Testing Cost-Benefit 131

DataRobot Blog

MARCH 8, 2023

DataRobot improves collaboration among AI teams so that they can discover and prove the value of models in business use cases through experimentation and then get models into production faster to improve how they run, grow, and optimize their business.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

APRIL 29, 2024

They need to have a culture of experimentation.” As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. CIOs should be “change agents” who “embrace the art of the possible,” he says.

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Experimentation Forecasting Risk Consulting 135

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 101

Experimentation Testing Optimization Marketing 101

CIO Business Intelligence

FEBRUARY 16, 2024

For most organizations, a shift to the cloud brings scalability, access to innovative tools, and the possibility of cost savings. For payroll services company ADP, it has paved the way to becoming a SaaS provider capable of taking on big names in enterprise software. An early partner of Amazon, the Roseburg, N.J.-based

Digital Transformation 116

Digital Transformation Experimentation Cost-Benefit Machine Learning 116

CIO Business Intelligence

JANUARY 25, 2024

After a year of frenzied experimentation and investment, executives will have to identify truly valid use cases (and ROI) for AI in 2024. The AI hype cycle has peaked: Tens of thousands of companies helped get it there with generative AI in 2023, with two-thirds now reporting they have deployed GAI tools to their workforce.

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ROI Experimentation Sales Finance 105

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Read the blog. Read the blog.

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Experimentation Forecasting Data-driven Machine Learning 145

MLWhiz

SEPTEMBER 7, 2020

I remember picking PyTorch up only after some extensive experimentation a couple of years back. PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface. Yet, it is somehow a little difficult for beginners to get a hold of.

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Experimentation IT 141

CIO Business Intelligence

MAY 23, 2022

The cloud is great for experimentation when data sets are smaller and model complexity is light. Often the burden of platform development can fall on data science and developer teams who know what they need for their projects, but whose skills are better served focusing on experimentation with algorithms instead of systems development.

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Experimentation Cost-Benefit Data Lake Data Science 137

The Unofficial Google Data Science Blog

APRIL 23, 2024

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. by CHRIS HAULK It is sometimes useful to think of a large-scale online system ( LSOS ) as an abstract system with parameters $X$ affecting responses $Y$.

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Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

MAY 10, 2024

Achieving end-to-end visibility — in real-time — into these journeys, some of which involve highly customized legacy contracts typical of a 100-year-old company, would enable TIAA to better serve its customers across the various decision and touch points along the way from enrollment to retirement.

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Machine Learning Experimentation Digital Transformation Modeling 115

CIO Business Intelligence

MAY 14, 2024

And then what’s really cool is adding on this more experimental aspect with the machine learning capability.” In many cases, additional documents are involved in the process, such as toxicology reports. A time-consuming process That manual reporting process, however, took far too long, impacting King County’s ability to shape response.

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Deep Learning Machine Learning Reporting Experimentation 91

O'Reilly on Data

JANUARY 11, 2022

What does “reproducibility” mean if the model is so large that it’s impossible to reproduce experimental results? What does “reproducibility” mean if the model is so large that it’s impossible to reproduce experimental results? This trend started with the gigantic language model GPT-3. Or it might not. The discussion of Web 2.0

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Experimentation Modeling Strategy Machine Learning 297

KDnuggets

DECEMBER 30, 2019

For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.

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Data Science Experimentation Optimization IT 93

Ontotext

NOVEMBER 2, 2023

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. Solution to the Data Dilemma The good news is that the solution to this data dilemma is actually quite simple. In spite of all the activity, the data paradigm hasn’t evolved much.

IT 69

IT Cost-Benefit Data-driven Technology 69

CIO Business Intelligence

AUGUST 2, 2023

Interestingly, non-IT leaders were more likely to report actively using generative AI (73%) than IT leaders (59%), suggesting there’s plenty of experimentation going on beyond the purview of the IT department. The survey found tension between business leaders seeking competitive advantage, and IT leaders wanting to limit risks.

Enterprise 98

Enterprise Experimentation Manufacturing Risk 98