CIO Business Intelligence

NOVEMBER 30, 2023

A native of Detroit, she studied mechanical engineering at the University of Michigan, and since entering the automotive industry, she has led internal teams through complex technology initiatives. It’s no secret: The best talent wants to work for leaders with the attributes to drive success. She also uses group chats generously.

Manufacturing 84

Manufacturing Technology Testing Interactive 84

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

FEBRUARY 7, 2023

Black women in technology are burnt out and impatient with an IT industry slow to change. is made up of Black women. is made up of Black women. If you’re promoted to a G6 or G7 band [ editor’s note : the grading system used to ascertain job seniority and responsibilities in the UK’s civil service ], it’s to make up the numbers.

Technology 144

Technology Advertising Software Management 144

CIO Business Intelligence

JULY 18, 2022

Fundaments, A VMware Cloud Verified partner operating from seven data centers located throughout the Netherlands, and a team of more than 50 vetted and experienced experts – all of whom are Dutch nationals – is growing rapidly. At Fundaments, all data is stored in the Netherlands and we have a completely Dutch organization.

Data-driven 66

Data-driven Data Processing Consulting Enterprise 66

CIO Business Intelligence

JULY 17, 2023

However, this shift requires a thorough understanding of the security implications and how a business can protect its data and applications. As with all technology introductions, it’s important to have clear security policies, tools, processes, and training.

Management 94

Management Data Processing Risk Digital Transformation 94

Ontotext

DECEMBER 15, 2023

Introduction InnoGraph will build a holistic knowledge graph of innovation based on Artificial Intelligence (AI), and more generally of the global “hitech” ecosystem. This post describes our approach to developing such a taxonomy by integrating and coreferencing data from numerous sources. uie paddlenlp ).

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

Cloudera

NOVEMBER 24, 2021

At the Middle Tennessee and Peninsula chapters of the Boys & Girls Clubs, high school students are receiving an introduction into a new world of possibilities. It included time for free exploration by students, weekly “career conversations,” LinkedIn workshops and training courses from the online learning company Udemy.

Finance 73

Finance Marketing Management IT 73

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. Introduction: Consider Being Product-Minded. During the candid discussion he points out how the probabilistic nature of data science work differs from “normal software engineering”.

Data Science 76

Data Science Testing Software Uncertainty 76

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. An AI system trained on data has no context outside of that data.

Uncertainty 98

Uncertainty Measurement Metrics Modeling 98

Jet Global

MARCH 19, 2020

How do you tell a compelling story using something as dry and dense as financial data? This introduction is important, but it should also be as short as possible. Add Spice with Convincing Data Visualizations. Be sure to set up what you will be building to in this section sometime in your introduction. Propose a Plan.

Visualization 59

Visualization Finance Consulting Reporting 59

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Introduction. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Insight

AUGUST 16, 2019

The industry demand for Data Engineers is constantly on the rise, and with it more and more software engineers and recent graduates try to enter the field. The biggest hurdle for newcomers lies in understanding the Data Engineering landscape and getting hands-on experience with relevant frameworks.

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

CIO Business Intelligence

JUNE 29, 2022

But this glittering prize might cause some organizations to overlook something significantly more important: constructing the kind of event-driven data architecture that supports robust real-time analytics. All in real-time, of course. By Ed Anuff, Chief Product Officer, DataStax. billion market by 2026. It’s no surprise.

Interactive 85

Interactive Data-driven Data Architecture Software 85

datapine

MAY 11, 2022

Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential. Data visualization methods refer to the creation of graphical representations of information. That’s where data visualization comes in. Did you know?

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Driving startup growth with the power of data. It’s the aspiration of every startup. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

Jet Global

FEBRUARY 6, 2024

The landscape of business intelligence (BI) is undergoing a metamorphosis, demanding solutions that transcend static reports and siloed data. Hidden patterns in your data are illuminated in real-time, fostering intuitive, interactive exploration that unlocks the true narrative within your numbers. Gone are the days of cumbersome BI 1.0

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. Introduction. 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.” Nick Elprin, CEO and co-founder of Domino Data Lab. The many reviews, discussions, debates, etc.,

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Insight

AUGUST 12, 2019

For system administrators, operations engineers, and others with strong systems and software backgrounds, there’s perhaps no better time than the present to transition into DevOps. Interviews can range from standard software engineer coding questions to questions on system design, Linux debugging, and DevOps tools.

Software 65

Software Data-driven Testing Interactive 65

Data Science 101

JANUARY 15, 2020

Bias ( syatematic unfairness in data collection ) can be a potential problem in experiments and we need to take it into account while designing experiments. We all are familiar with experiments , we read about them in books or newspapers. These external factors are called Lurking Variables , which badly affect the study.

Experimentation 96

Experimentation Statistics Measurement Testing 96

Data Science and Beyond

JULY 22, 2018

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. But what does it mean?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Cloudera

SEPTEMBER 20, 2022

Introduction. I’m a research engineer by trade and have been involved in software creation in some way or another for most of my professional life. Creating images is of course only one aspect of making a comic book — typically they are made collaboratively by a writer and an illustrator.

Deep Learning 86

Deep Learning Cost-Benefit Risk Data-driven 86

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Your Chance: Want to extract the maximum potential out of your data? Table of Contents.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Introduction. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

FineReport

MARCH 29, 2023

Introduction to Qlik Sense Qlik Sense is an interactive BI product released by QlikTech in 2014. After the business department submits the requirements for reporting or data analysis to the IT department, the IT department develops reports in the design interface. Qlik Sense supports a comprehensive range of analysis scenarios.

Reporting 52

Reporting Visualization Dashboards Enterprise 52

Domino Data Lab

MAY 8, 2019

Introduction. Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. They’ve become “embedded institutions” in engineering. Unfortunately, ML applications introduce twists that are not matters for engineering to resolve.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 12, 2020

Introduction. This post is for people making technology decisions, by which I mean data science team leads, architects, dev team leads, even managers who are involved in strategic decisions about the technology used in their organizations. If you want a more in-depth technical introduction to Ray, see ?this that work best.

Experimentation 137

Experimentation Modeling Data Science Management 137

Jet Global

APRIL 30, 2021

Second, boost finance’s role in managing data, whether consolidating, simplifying, or controlling the flood of information flowing across the organization. Third, strengthen decision-making through widespread adoption of data-visualization, advanced-analytics, and debiasing techniques. Kickstarting Change.

Finance 98

Finance Recreation/Entertainment Reporting Software 98

bridgei2i

APRIL 16, 2021

In software engineering, there is an adage, ‘Software is only as intelligent as the programmer who programmed it. But thanks a lot for that introduction. And it’s great to see your career progression, blooming into a data scientist. Listen Now! Subscribe Now. Transcript.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Introduction. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Of course!!”

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

O'Reilly on Data

MARCH 23, 2021

It seems harder than ever to agree with others on basic facts, let alone to develop shared values and goals: we even claim to live in a post-truth era. For every piece of information X somewhere, you can likely find “not X” elsewhere. There is a growing disbelief and distrust in basic science and government. ” Reality Decentralized.

Internet Publishing and Broadcasting 315

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 315

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Introduction. Welcome back to our monthly series about data science! After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

SEPTEMBER 9, 2019

This article provides a brief introduction to natural language using spaCy and related libraries in Python. Introduction. This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

FineReport

JULY 6, 2022

Some BI tools are devoted to helping companies’ data analysis and business information management, gradually becoming the leaders of the BI market. When our company witnesses the explosion of data and information, which business intelligence tool is the most appropriate one to help us make full use of the wealth of the business data?

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

bridgei2i

MAY 20, 2020

And since they involve making better decisions using data-driven insights, AI & Analytics led applications are leading the way forward. My name is Anushruti, and I’m part of the CEO’s program office at BRIDGEi2i and the custodian of data around the sales pipeline. PODCAST: COVID 19 | Redefining Digital Enterprises.

Enterprise 98

Enterprise Digital Transformation B2B Insurance 98

Cloudera

FEBRUARY 8, 2023

For convenience purposes I chose to limit the scope of this exercise to a specific function that prepares the data prior to the churn analysis. One such occurrence happened a few weeks ago when one of my colleagues was trying to make some churn analysis code downloaded from GitHub work. distinct().collect() distinct().collect() distinct().collect()

Measurement 56

Measurement Testing Cost-Benefit ROI 56

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71