CIO Business Intelligence

AUGUST 24, 2023

It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty. How was this data obtained?

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Uncertainty Risk Testing Enterprise 98

Andrew White

MAY 4, 2020

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. This will give you a better chance of including the breadth of data to act as a base. Everything Changes.

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CIO Business Intelligence

NOVEMBER 1, 2024

One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.” “The

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

DECEMBER 20, 2022

In the coming year, having a good read on customer needs will be crucial as many organizations battle resource constraints, challenging economic conditions, and continuing uncertainty when it comes to planning.

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Uncertainty Digital Transformation Optimization Data Science 98

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

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CIO Business Intelligence

NOVEMBER 1, 2024

One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.” “The

IT 105

IT Insurance Consulting Risk 105

Rocket-Powered Data Science

MAY 21, 2024

Since one of the only certainties about the future is its uncertainty, it is a great benefit that Pure Storage Evergreen//One provides storage-as-a-service (STaaS) guarantees and enables future-proof growth with non-disruptive upgrades. link] The post An AI Data Platform for All Seasons first appeared on Rocket-Powered Data Science.

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Cloudera

AUGUST 26, 2021

label="uncertainty"). The post Apache Ozone Powers Data Science in CDP Private Cloud appeared first on Cloudera Blog. fig.suptitle(title + " - Forecast" , fontsize=15); . . ax.plot(forecast.ds, forecast.yhat, '-k', label="forecast" , color='orange'). fig.set_figheight(5). fig.set_figwidth(10).

Data Science 113

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Domino Data Lab

FEBRUARY 20, 2019

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to discuss cross-team collaboration within data science.

Data Science 76

Data Science Testing Software Uncertainty 76

O'Reilly on Data

SEPTEMBER 15, 2021

There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? Economic uncertainty caused by the pandemic may be responsible for the declines in compensation. To nobody’s surprise, our survey showed that data science and AI professionals are mostly male.

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Rocket-Powered Data Science

JULY 19, 2023

That is not a totally clear separation and distinction, but it might help to clarify their different applications of data science. Data scientists work with business users to define and learn the rules by which precursor analytics models produce high-accuracy early warnings.

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O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

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Modeling Finance Uncertainty Data mining 198

Aryng

JANUARY 8, 2024

Does it seem like 2024 is starting with more uncertainty compared to previous years? In times of great uncertainty leaders have to scrutinize the investment in strategic initiatives. In times of great uncertainty leaders have to scrutinize the investment in strategic initiatives. Charts like FRED certainly support that feeling.

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Uncertainty Risk IT Data Science 52

Domino Data Lab

MAY 15, 2019

This Domino Data Science Field Note covers Pete Skomoroch ’s recent Strata London talk. The last step for a PM is to “use derived data from the system to build new products” as this provides another way to ensure ROI across the business. Addressing the Uncertainty that ML Adds to Product Roadmaps.

Machine Learning 111

Machine Learning Management Experimentation Data Science 111

DataRobot

AUGUST 5, 2021

In behavioral science this is known as the blemish frame , where a small negative provides a frame of comparison to much stronger positives, strengthening the positive messaging. AI and Uncertainty. Some people react to the uncertainty with fear and suspicion. People are unsure about AI because it’s new. AI you can trust.

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CIO Business Intelligence

OCTOBER 8, 2024

By Bryan Kirschner, Vice President, Strategy at DataStax Data scientists have long struggled with silos and cycle time. That’s partly because of an underlying structural tension between the traditional data science mission of turning “data into insights” versus the on-the-ground game of turning “context into action.”

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Unstructured Data Data Science Uncertainty Sales 117

CIO Business Intelligence

JULY 23, 2024

With the confusion about the definition of AI, whether it includes large language models (LLMs), neural networks, machine learning, or simply a data science application, gives companies “a lot of latitude” when claiming to use AI, he says. You run into the fact that these models just don’t behave like your traditional models.

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CIO Business Intelligence

JANUARY 10, 2023

Because of economic uncertainty, about 40% of CIOs slowed hiring as 2022 wound down, and about 30% experienced hiring freezes. Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. Recent layoffs from digital companies will ease but not solve the talent challenge,” Mok says.

IT 131

IT Uncertainty Data Science Marketing 131

IBM Big Data Hub

APRIL 28, 2020

During these times of uncertainty, all companies are being stressed in new ways; supply chains are being halted with employee sickness, retail store doors are closed to encourage social distancing, and health care facilities are overwhelmed by patient demand.

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Uncertainty Data Science Risk 78

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Srividya Sridharan

SEPTEMBER 3, 2020

And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

Data Strategy 108

Data Strategy Strategy Uncertainty Marketing 108

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

O'Reilly on Data

OCTOBER 13, 2020

Therefore, the PM should consider the team that will reconvene whenever it is necessary to build out or modify product features that: ensure that inputs are present and complete, establish that inputs are from a realistic (expected) distribution of the data, and trigger alarms, model retraining, or shutdowns (when necessary).

Management 308

Management Machine Learning Metrics Modeling 308

Cloudera

AUGUST 20, 2020

It’s been a year filled with disruption and uncertainty. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things. One day we were all going to the office, and the next we were working from home.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Analytics, Data Science

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Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

MARCH 19, 2024

Unlikely savior The aircraft manufacturer might have seemed an unlikely savior, but there could have been interesting synergies between its existing activities and the cybersecurity and data science businesses of Atos. Atos holds numerous contracts with the French Ministry of Defense.

Manufacturing 98

Manufacturing Uncertainty Big Data Sales 98

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

CIO Business Intelligence

JUNE 11, 2024

Key challenges for AI innovation An eBook by Dell Technologies 2 reveals that the common barriers to entry for AI include 1) skills shortages in data science; 2) the increasing volume and complexities of data work; and 3) lack of processing power and skills that lead to delays in recognizing value from data.

Data-driven 98

Data-driven Uncertainty Enterprise Technology 98

CIO Business Intelligence

MARCH 25, 2022

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. What’s great in what I see today is how much digital transformation is embedded into the fabric of the business strategy.

Digital Transformation 115

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Data Science and Beyond

JULY 28, 2017

Ideally, I wanted a well-paid data science-y remote job with an established distributed tech company that offers a good life balance and makes products I care about. While data wrangler may sound less sexy than data scientist , reading the job ad led me to believe that the position may involve interesting data science work.

Data Science 81

Data Science Testing Measurement Uncertainty 81

CIO Business Intelligence

APRIL 28, 2022

However, many financial services companies still prefer to build their own data centers rather than leverage cloud solutions. Much of this reluctance stems from the regulatory environment, arising from lengthy reviews and approvals processes, or even simple near-term regulatory uncertainty. .

Analytics 98

Analytics Insurance Big Data Uncertainty 98

Data Science and Beyond

JANUARY 7, 2019

Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge. Confidence intervals are a common way of quantifying the uncertainty in an estimate of a population parameter. Don’t compare confidence intervals visually.

Statistics 77

Statistics Uncertainty Testing Modeling 77

CIO Business Intelligence

JUNE 15, 2022

As a result, the IT group is faster and more flexible, recently deploying five new cloud services for data science and analytics developers to use within four hours —something that would have taken a cross-functional IT team several weeks to deploy in the past. Reining in application sprawl has also been valuable at Snow Software.

IT 145

IT Digital Transformation Technology Strategy 145

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. Learn more about the Cloudera Data Impact Awards and see past winners!

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Data Lake Cost-Benefit Digital Transformation Risk 77

Sisense

SEPTEMBER 9, 2019

If you lack a data science team, integrating BigSquid with your open-platform BI tool is a powerful way to achieve the horsepower of data science while maintaining the ease of use that the average business user requires.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

Cloudera

OCTOBER 3, 2018

Cloudera offers the Cloudera Data Science Workbench (CDSW) and Workload Experience Manager (Workload XM). In the meantime, each of us also has unique product offerings. Hortonworks offers its Hortonworks DataFlow, or HDF, product for streaming and IoT workloads. Forward-Looking Statements.

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Insight

MAY 15, 2020

In this time of terrifying uncertainty, some might focus on their own career journey over others. Remember, there is no such thing as the elusive Data Science unicorn , and that adage goes for any role you’re hiring for! Are you hiring in data science, AI, or engineering?

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