CIO Business Intelligence

MARCH 31, 2023

And the Bureau of Labor Statistics predicts that business analyst jobs will grow 11% from 2021 to 2031. Top skills for business analysts include project management, data analysis, business analysis, user stories, and user acceptance, according to Zippia. Amazon, Capgemini, and IBM.

Business Analysis 83

Business Analysis Testing Business Analytics Statistics 83

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. and managed services in the cloud. and Verta.AI) make ML development easier for companies to manage. Metadata and artifacts needed for audits.

Machine Learning 244

Machine Learning Technology Deep Learning Data Science 244

datapine

NOVEMBER 27, 2019

2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM). A survey conducted by the Business Application Research Center stated the data quality management as the most important trend in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Birst BI

AUGUST 23, 2018

Source: Gartner (April 2018). If your data science resources are strained, here is an example data scientist workflow that leverages Birst to speed up tasks throughout the application development lifecycle – data preparation, model development and testing with R integration, deployment into the business, and governance and management.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range. A single model may also not shed light on the uncertainty range we actually face.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Smarten

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others. Users can access complex tools in an easy-to-use environment without the help of programmers or data scientists.

Analytics 51

Analytics IT Business Intelligence Testing 51

Domino Data Lab

AUGUST 8, 2019

That’s a can-o-worms that exposes problems with Silicon Valley product management culture not entirely comprehending the real-world issues of MLOps. 2018 – Global reckoning about data governance, aka “Oops!…We Data science teams should watch what’s happening here, especially the emphasis in the EU. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

MAY 8, 2019

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. 2018-06-21). That’s not especially good news for data science teams pressured by management to be “agile” and crank out lots of models rapidly. Quick summary: there’s a persnickety problem.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. I’m a manager. Just so we’re on the same page, what is data science? No one knows for sure. What are the hardest parts of data science?

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Programmers have always developed tools that would help them do their jobs, from test frameworks to source control to integrated development environments. Only 4% pointed to lower head counts.

Enterprise 281

Enterprise Modeling Testing Reporting 281

Occam's Razor

JUNE 4, 2018

It is 2018—why are there still light gray below-the-fold add to cart buttons? I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. These two recommendations will help you compute the opportunity size for your management team.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. Management. Plus blatant overuse of intertextual parataxis. Or something.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

AUGUST 22, 2019

million words—a manageable quantity that means you’ll be able to run all of the code examples in this section on a laptop. Although it’s not perfect, [Note: These are statistical approximations, of course!] Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111