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 108

Data Science Forecasting Metadata Machine Learning 108

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

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

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.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

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.

Uncertainty 98

Uncertainty Sales Risk Statistics 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.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

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.

Uncertainty 82

Uncertainty Data Science Risk 82

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

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 Uncertainty 111

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

Dataiku

AUGUST 14, 2019

The data science community is in a period of rapid change, and the upcoming documentary Data Science Pioneers - made by and for data scientists - will be the first to capture both this excitement and uncertainty.

Data Science 17

Data Science Uncertainty 17

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

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

Data mining 144

Data mining Data-driven Statistics OLAP 144

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

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.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

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

Digital Transformation Uncertainty Machine Learning Strategy 115

Jet Global

NOVEMBER 20, 2023

Unlock insights from ERP Data to Deliver Actionable Insights Let’s face it. With the volatility of the market and increasing uncertainties that arise within your business, you need actionable insights to contend with competitors buoyed by digital transformation efforts.

Business Intelligence 52

Business Intelligence IT Operational Reporting Reporting 52

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.

Modeling 133

Modeling Finance Uncertainty Data mining 133

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

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 40

Data Strategy Strategy Uncertainty Marketing 40

Cloudera

NOVEMBER 5, 2021

And this is what A Fresh Squeeze on Data is all about. Coming out of more than a year of change and uncertainty, there’s one thing we know for sure — the stage has been set for profound transformation and enduring positive change. We should never outgrow picture books! I believe wholeheartedly in picture books.

Visualization 83

Visualization Uncertainty Insurance Machine Learning 83

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.

Uncertainty 98

Uncertainty Digital Transformation Optimization Enterprise 98

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

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. At Cloudera Fast Forward we work to make the recently possible useful.

Deep Learning 59

Deep Learning Machine Learning Forecasting Uncertainty 59

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?

Uncertainty 76

Uncertainty Data Science Statistics Marketing 76

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 Forecasting Data-driven 75

CIO Business Intelligence

JANUARY 4, 2023

In the HPC community, we recognize a need for tools to support machine learning operations and data science management; these tools must be able to scale and integrate with HPC software, compute and storage environments.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

The Unofficial Google Data Science Blog

JANUARY 14, 2016

by AMIR NAJMI Running live experiments on large-scale online services (LSOS) is an important aspect of data science. We must therefore maintain statistical rigor in quantifying experimental uncertainty. In this post we explore how and why we can be “ data-rich but information-poor ”.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

bridgei2i

JUNE 3, 2020

Consumers feel threatened by the prolonged uncertainty, not having had to deal with anything like it, in their lives. Forecasting models have to be created keeping in mind this uncertainty, and key indicators need to be identified for early detection. COVID-19 as a social zeitgeist and its impact on the consumer psyche (Gartner).

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. It is a big picture approach, worthy of your consideration.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Jen Stirrup

DECEMBER 14, 2018

I’d hoped for some downtime at this time of year, but I’ve picked up a crucial data science project which needs to be delivered over Christmas so there isn’t much downtime. Markets, and businesses, do not like uncertainty. I was a Data Ambassador for DataKind this year. I am not going to share here.

Consulting 56

Consulting Business Intelligence Data Science Marketing 56

AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 81

Forecasting Data Warehouse Machine Learning Modeling 81

Peter James Thomas

JUNE 20, 2019

The above chart compares monthly searches for Business Process Reengineering (including its arguable rebranding as Business Transformation ) and monthly searches for Data Science between 2004 and 2019. Here we come back to the upward trend in searches for Data Science. The scope is worldwide. Brunel’s Heirs.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Jet Global

MARCH 2, 2021

Modern BI tools are generally geared toward data science and visualization. In the face of significant uncertainty, many have increased their use of scenario planning, exploring the “what if” questions that could profoundly affect their businesses.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98

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-driven 110

Data-driven Data Science Machine Learning Modeling 110