O'Reilly on Data

JANUARY 16, 2024

What more is left to say by now? I’m personally interested in this topic since I am a professor who researches human-computer interaction, user experience design, and cognitive science , so AI voice interfaces are fascinating to me. Well, I bet very few of those people have actually chatted with ChatGPT.

Interactive 183

Interactive Recreation/Entertainment Visualization IT 183

CIO Business Intelligence

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024. Not finding what you’re looking for?

Data Science 122

Data Science Machine Learning Predictive Modeling Experimentation 122

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 126

Data Architecture Data Warehouse Statistics Visualization 126

O'Reilly on Data

JUNE 15, 2023

All of these efforts reflect the general consensus that regulations should address issues like data privacy and ownership, bias and fairness, transparency, accountability, and standards. For now, at least, they do what they are told, and when the results don’t match expectations, their training is quickly improved.

Metrics 283

Metrics Reporting Measurement Finance 283

Smart Data Collective

SEPTEMBER 5, 2022

Data science is a very complex field that requires the insights of professionals from many different disciplines. One of the fields of professionals that are so important for data science projects are Python developers. What is the Python programming language? Why is it so important in the data science profession

Data Science 131

Data Science Big Data Software Data Analytics 131

datapine

MARCH 31, 2022

3) What Are the First Steps To Getting Started? Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? So, what skills are needed for a business intelligence career? Do you need a good business intelligence resume?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 131

Analytics Data Science Unstructured Data Data mining 131

O'Reilly on Data

OCTOBER 22, 2020

“ “ You can interrogate anyone, no matter what their state of being. A recent discussion led us down the path of our favorite questions: what they are, why they’re useful, and when they don’t work so well. What makes a good question? ” and more “what happened?”

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

O'Reilly on Data

DECEMBER 10, 2019

Roughly a year ago, we wrote “ What machine learning means for software development.” Up until now, we’ve built systems by carefully and painstakingly telling systems exactly what to do, instruction by instruction. It’s time to evaluate what has happened in the year since we wrote that article. and Matroid. and Matroid.

Software 261

Software Machine Learning Risk Data-driven 261

CIO Business Intelligence

DECEMBER 8, 2022

What follows is that conversation, edited for length and clarity. It is the chief data scientist, which is all things data and analytics. What we didn’t talk about is your ability to turn vision into action. It’s belief as to what matters. It is the CTO, which is part of engineering. Why is that so important?

Digital Transformation 115

Digital Transformation Modeling Technology Strategy 115

CIO Business Intelligence

FEBRUARY 15, 2024

Like many incumbents in the consumer packaged goods (CPG) industry, Henkel was slow to embrace digital technologies, resulting in a widening disconnect between the 147-year-old company and the changing needs of its customers. It’s a bit of a tough computer science problem. This just wasn’t possible with traditional machine learning.

B2B 130

B2B Optimization Machine Learning Software 130

CIO Business Intelligence

FEBRUARY 19, 2024

Meanwhile, the 2022 State of Tech Diversity: The Black Tech Ecosystem report from the NAACP and Kapor Center, a nonprofit addressing racial inequities in STEM education and the tech industry, found that the proportion of Black students receiving bachelor’s degrees in computer science decreased between 2016 and 2020, going from 9% to 8%.

IT 136

IT Consulting Reporting Software 136

CIO Business Intelligence

NOVEMBER 7, 2023

Generative AI adoption is growing in the workplace—and for good reason. Studies indicate the potential for significant productivity gains: workers saw some writing projects speed up by 40% in a study released by Science and developers were able to complete certain tasks up to 30% faster according to McKinsey research.

IT 114

IT Risk Modeling Strategy 114

O'Reilly on Data

JULY 28, 2020

If you’re an AI product manager (or about to become one), that’s what you’re signing up for. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

Rocket-Powered Data Science

DECEMBER 16, 2018

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. The above example (clustering) is taken from unsupervised machine learning (where there are no labels on the training data).

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

CIO Business Intelligence

JUNE 28, 2022

Some call data the new oil. 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 132

Management Internet of Things Statistics Data-driven 132

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 138

Data Science Statistics Machine Learning Visualization 138

Smart Data Collective

OCTOBER 16, 2023

This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. The influence of Big Data on business is enormous. Where does big data come from?

Big Data 100

Big Data IoT Cost-Benefit Advertising 100

CIO Business Intelligence

SEPTEMBER 11, 2023

But today even companies that manufacture physical goods have to have a digital-savvy C-suite, Seals says. Digital-first and data/AI are the two key pillars of TIAA’s business strategy and a core part of its broad tech transformation. Digital technology is infiltrating our business in ways we never thought of ourselves,’’ he says.

Digital Transformation 132

Digital Transformation ROI Strategy Technology 132

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. This challenge requires tools with capabilities outside of what MuleSoft and Tableau can offer,” Park explained.

Cost-Benefit 122

Cost-Benefit B2B Marketing Enterprise 122

Smart Data Collective

APRIL 20, 2023

Are you interested in a career in big data? As we said before, there are many careers you can go into with a degree in data science. The BLS reports that there are 113,000 data scientists in the country. Education & Teaching You can use big data technology to help improve the field of academia.

Big Data 97

Big Data Cost-Benefit Data Science Data-driven 97

CIO Business Intelligence

NOVEMBER 15, 2023

For those seeking to make this shift, the starting point, says Keith Woolley, chief digital information officer at the University of Bristol, is a strong grasp of your organization’s capabilities and a deep understanding of what the business needs to achieve — and that requires going beyond the confines of IT. “If

Technology 119

Technology Testing Insurance Marketing 119

CIO Business Intelligence

SEPTEMBER 29, 2023

Until a year ago, when people suggested that AI was already mainstream and asked what the next big thing would be, I replied that we had not reached the end state of AI yet. The answers will be drawn from the wealth of business data spread across SAP’s solution portfolio and third-party sources, retaining context.

Machine Learning 120

Machine Learning Finance Strategy Testing 120

CIO Business Intelligence

JUNE 2, 2022

The path toward future information security mastery includes: Acknowledging individual responsibilities/accountabilities, Making individual infosec beliefs explicit, Practicing good cyber hygiene, Paying attention to the software supply chain, and Hardening operational technology components. Spectators no more. Think, say, do.

Software 121

Software Manufacturing Forecasting Sales 121

Smart Data Collective

APRIL 28, 2021

The importance of data in the modern world is hard to overstate. Advancements in AI, machine learning, and platforms such as Google Analytics now mean that masses of data are compiled by businesses on a global scale each day. All this means that working in a data science-related role is a smart move.

Data Science 119

Data Science Big Data Machine Learning Modeling 119

CIO Business Intelligence

NOVEMBER 28, 2023

IT leaders take note: At your likely current trajectory, your organization is the Titanic and its data is the iceberg. To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy.

Management 108

Management Data Architecture Data Lake Data Strategy 108

CIO Business Intelligence

APRIL 25, 2024

With questions around ROI, increasing outlay, and corporate scrutiny on IT cost savings on the rise, CIOs must know not only what contributes to their organization’s overall cloud spend but also how to optimize it. Cloud cost management remains a critical CIO priority. Garcia gives the example of the AWS cURL file, written three times daily.

Management 87

Management Optimization Strategy Enterprise 87

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Business Over Broadway

MARCH 22, 2021

Data Science Roles and Their Skill Sets. Specifically, to learn about data science and machine learning, it is good to ask data professionals who work in those areas. Today, I am extending that research and am reaching out to the data community to ask for help. Help Us Answer Two Questions.

Machine Learning 109

Machine Learning Data Science Reporting Analytics 109

CIO Business Intelligence

FEBRUARY 26, 2024

Here, in an extract from his book, AI for Business: A practical guide for business leaders to extract value from Artificial Intelligence , Peter Verster, founder of Northell Partners, a UK data and AI solutions consultancy, explains four of them. Agility Around 86% of software development companies are agile, and with good reason.

Experimentation 114

Experimentation Cost-Benefit Digital Transformation Risk 114

CIO Business Intelligence

JANUARY 9, 2024

That leaves it up to you, your company’s hard-working CIO, to temper the CEO’s expectations from what they infer from the Marvel Cinematic Universe to Earth 2024. But in your reality, when at times even the most talented business analyst can’t make heads or tails of what the CEO is asking for, nothing good will come of it.

Management 97

Management Data-driven Measurement Technology 97

CIO Business Intelligence

NOVEMBER 3, 2023

What keeps IT leaders up at night covers a broad range of issues including improving overall IT performance, data security, process risk and compliance, and meeting needs to improve business agility. He believes one of the best ways the CIOs can showcase their perspective is by clearly illustrating the value of what they’re doing.

Risk 120

Risk Cost-Benefit Data-driven Management 120

CIO Business Intelligence

MAY 17, 2022

But it’s not just science fiction writers who are worried about the dangers of uncontrolled AI. Last month, a leaked Facebook document obtained by Motherboard showed that Facebook has no idea what’s happening with its users’ data. “We This particular hospital’s data science team had built a system to identify such comorbidities.

Risk 142

Risk Consulting Machine Learning Data Science 142

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

Digital Transformation 140

Digital Transformation Unstructured Data Machine Learning Risk Management 140

DataRobot

SEPTEMBER 3, 2021

Staying on top of digital transformation is challenging, she explains, because the FBI uses technology to store, transform, and retrieve data—to be used as evidence in many cases. But investigators also need to stay ahead of technology because “bad guys figure out bad ways to use it quicker than good guys figure out good ways of using it.”.

Digital Transformation 97

Digital Transformation Machine Learning Interactive Technology 97

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. Dropshipping.

Data mining 131

Data mining Big Data Data-driven Data Science 131

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Analytics 120

Analytics Data Science Statistics Unstructured Data 120