Xebia

AUGUST 25, 2023

Are you struggling to identify the best data science opportunities for your organization? Combine business, data and IT experts, and balance seniority to assure you focus on a valuable and feasible business problem. Create a driver tree or sketch the impacted business process to identify where data science can potentially help.

Data 130

Data Generative AI Analytics Energy 130

Harvard Business Review

NOVEMBER 2, 2023

Cloud tools and technologies are influencing the future of data science work in two key areas: scaling resources and improving workforce agility. If organizations want to make use of these capabilities, though, they also need to develop strong data security and privacy frameworks when operating in a cloud environment.

Cloud 99

Cloud Data Agile Resources 99

TechCrunch

MARCH 22, 2022

Hex has been moving briskly along its startup evolutionary path with its data science collaboration platform growing at a rapid pace, so much so the company attracted the attention of fundraising mega-firm Andreessen Horowitz and a pair of key industry strategic investors, Snowflake and Databricks. The investment builds on the $5.5

Data 182

Data Analytics Groups Training 182

Dataiku

MARCH 5, 2024

Collaborative data science has been a hot topic for many years. And right off the bat, let’s make one thing clear: It’s not that collaborative data science isn’t important — it’s a critical piece of the puzzle.

Data 59

Data 59

Dzone - DevOps

DECEMBER 29, 2023

In the ever-evolving landscape of technology, the tandem growth of Artificial Intelligence (AI) and Data Science has emerged as a beacon of hope, promising unparalleled advancements that will significantly impact and enhance various aspects of our lives.

Artificial Intelligence 97

Artificial Intelligence Artificial Inteligence Healthcare Data 97

Dataiku

MARCH 28, 2024

Did you know that only 7% of healthcare data — 3.5 But, on the other side of the coin, as much as 36% of data being collected in 2025 will be health related? Pharmaceutical organizations, and the wider ecosystem of healthcare and life sciences industries at large, are at no loss for data.

Industry 64

Industry Pharmaceuticals Data Healthcare 64

Xebia

MARCH 10, 2021

Many organisations have a new ambition to become a data-driven organisation. In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Data & Analytics as a separate business domain.

DevOps 130

DevOps Data Analytics Policies 130

Xebia

MARCH 10, 2021

Many organisations have a new ambition to become a data-driven organisation. In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. This blog elaborates on […].

DevOps 130

DevOps Data Analytics Big Data 130

Agile Alliance

FEBRUARY 14, 2022

The post Discovering the root cause of impediments using Lean Software Development and Data Science first appeared on Agile Alliance. I saw teams defining story points to a set of user stories and complaining that some user stories were more complicated than they thought at … Continued.

Software Development 170

Software Development Software Development Data 170

O'Reilly Media - Data

JULY 10, 2018

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science. We already have good standards for data ethics.

Data 173

Data Weak Development Team Software Review Culture 173

TechCrunch

MAY 27, 2021

Breinify is a startup working to apply data science to personalization, and do it in a way that makes it accessible to nontechnical marketing employees to build more meaningful customer experiences. Today the company announced a funding round totaling $11 million.

Marketing 192

Marketing Artificial Inteligence Data Machine Learning 192

Dataiku

FEBRUARY 8, 2023

Whether you're exploring a handful or hundreds of data science use cases, the application of data science across the company can seem nearly endless. Let’s explore some of the most common data science use cases and how they can benefit businesses.

Data 98

Data Applications Company 98

Dataiku

NOVEMBER 12, 2021

In this Banana Data Podcast episode " Methodology & Functionality in Differing Data Science Roles," our hosts share the rundown on data science roles, so you will no longer be in the dark for behind the scenes data science happenings.

Data 105

Data Engineering 105

Coding Dojo

MARCH 25, 2022

If you’re thinking about starting a career in data science, you might be wondering what to expect from an entry-level … Read more >>. The post Entry-Level Data Science Jobs: What to Expect appeared first on Coding Dojo Blog.

Data 98

Data 98

Exadel

JUNE 20, 2022

Data science brings value to every business and industry; statistics and data-driven insights help managers to make the best decisions. At the same time, improper data science implementation and misalignment with the company’s business goals can prevent organizations from seeing all of its benefits.

Data 52

Data Case Study Study Healthcare 52

Coding Dojo

NOVEMBER 23, 2022

Careers in data science and in computer science have great earning potential and immense career growth opportunities. So, what is the difference between data science and computer science, and which career is better? Read More » The post Data Science vs Computer Science: Which Career Is Better?

Data 52

Data Software Development Software Development 52

Dataiku

AUGUST 30, 2021

So let’s explore some of the challenges that oil and gas companies are facing in pursuit of these targets and take a look at how data science, machine learning, and AI offer solutions to the problems that the companies face.

Data 104

Data Machine Learning Artificial Inteligence Company 104

The Crazy Programmer

JUNE 10, 2019

The future of the world is Data science, and with the passage of time, it is revolutionizing the way things worked out in the industries. Traditionally the data were mostly structured. But today most of the data are becoming unstructured or semi-structured. Python for Data Science. Image Source.

Data 124

Data USP Web Development Machine Learning 124

Dataiku

APRIL 22, 2020

Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they are about crunching numbers, and creativity flourishes in a collaborative environment.

Data 145

Data Analytics 145

Coding Dojo

OCTOBER 2, 2020

With a great salary, high job satisfaction, and huge projected industry growth , it’s no surprise that data science bootcamps … Read more >>. The post Are Data Science Bootcamps Worth It ? appeared first on Coding Dojo Blog.

Data 98

Data Industry Trends Programming 98

TechBeacon

OCTOBER 17, 2022

The data keeps coming. The job of a data scientist is to turn all of those endless bits into coherent analysis so that data users can begin to look for answers in the sea of information. The good news is that there are plenty of good programming languages for doing this work. But i s there a best one?

Data 145

Data Analysis Programming Enterprise 145

Cloudera

JULY 27, 2021

These fleshed-out web applications are representative end products of data science work. Ines Montani of Explosion wrote How front-end development can improve data science in 2016, and, five years later, those words still ring true. This is fortunate, because few data scientists are web developers on the side.

Enterprise 111

Enterprise Real Estate Data Machine Learning 111

O'Reilly Media - Data

MARCH 8, 2018

Eric Colson explains why companies must now think very differently about the role and placement of data science in organizations. Continue reading Differentiating via data science.

Data 109

Data Organization Company 109

Apiumhub

FEBRUARY 10, 2022

Scoping data science project is an iterative process and the scope gets refined both during the scoping process as well as during the project, however it is important to have an initial scope to have an idea of the project goals, deadlines, costs and requirements. Data Science Project Scope. Can you purchase the data?

Data 52

Data Analysis Machine Learning Artificial Inteligence 52

Dataiku

OCTOBER 7, 2020

Yet when talking about solutions, increasing diversity and making data science a more inclusive field unfortunately don’t often top the list. Noelle Silver, Head of Instruction, Data Science, Analytics, and Full Stack Web Development at HackerU , is looking to change that.

Data 105

Data Web Development Analytics Report 105

Dataiku

DECEMBER 16, 2021

In this episode of the Banana Data Podcast, our hosts are joined by Nathan Mannheimer (Director of Data Science and ML at Tableau) as they unriddle the value of data visualization, explore what can go right and what can go wrong, and search for an answer to inquiries surrounding the future of data visualization.

Data 105

Data 105

Exadel

OCTOBER 18, 2022

No matter the industry, a practical data science approach brings data scientists, stakeholders, and data engineers together to drive business value. The role of a data science team is to use one of three approaches, depending on the maturity of an organization. Data capability and infrastructure assessment.

Data 52

Data Data Engineering Infrastructure Industry 52

Coding Dojo

JULY 12, 2021

Was interested in gaining data analysis experience to advance her career. The post How Our Data Science Bootcamp Upgraded Ye Zhang’s Career appeared first on Coding Dojo Blog. Pre-Dojo : Worked as a Quality Management Coordinator. … Read more >>.

Data 98

Data Analysis How To Programming 98

Coding Dojo

OCTOBER 17, 2022

Have you been thinking about pursuing a career in data science? However, when you’re involved in a structured program that aims to teach you everything you need to know … How to Learn Data Science: 9 Easy Ways Read More » The post How to Learn Data Science: 9 Easy Ways appeared first on Coding Dojo Blog.

Data 59

Data How To Programming 59

Data Virtualization

JULY 1, 2021

If we look at a typical , many of its stages have more to do with data than science. Before data scientists can begin their work regarding data science, they often must begin by: Finding the right data Gaining access.

Virtualization 52

Virtualization Data Technology 52