CIO Business Intelligence

MARCH 13, 2023

Bodnari, who previously worked at Google, says that while the search engine giant was a great place to build core technology, it felt more meaningful to integrate healthcare with AI. UnitedHealth Group, the parent company of Optum “was the holy grail of healthcare know-how and prowess,” says Bodnari, vice president of product at Optum.

Machine Learning 98

Machine Learning Technology Software Reporting 98

bridgei2i

JANUARY 25, 2022

PODCAST: Making AI Real. In this podcast episode, AI enthusiasts Anirudh and Janci talk about how sincere curiosity and passion for learning can help anyone understand data science and become an active contributor. Listen to this podcast to know how to kick start your data science career. Listening time: 18 minutes.

Data Science 52

Data Science Machine Learning Data-driven Statistics 52

Sisense

FEBRUARY 3, 2020

Create This is your firsthand look at what that means to us. Innovating and experimenting with new ideas are core parts of our DNA; our R&D and AI teams never stop building the future of data. It was great to see the developers explaining the ease of getting up and running with AWS Comprehend.”. At Sisense, we are builders.

Machine Learning 97

Machine Learning Visualization Management Analytics 97

O'Reilly on Data

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. This mindset has followed me into my work in ML/AI. Because if companies use code to automate business rules, they use ML/AI to automate decisions. But deep down it’s about the purpose of software.

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. If you have a smartphone, use the QR code, you can load it up on your phone.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Insight

MARCH 27, 2019

It utilizes Bayesian optimization for discovering data augmentation strategies tailored to your image dataset. You can install it from your terminal by running: $ pip install deepaugment You can also visit the project’s README or run the Google Colab notebook tutorial. To learn more about how I built this, read on!

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

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. This month, let’s explore learning data science. What are some good learning materials available to the public?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

O'Reilly on Data

OCTOBER 11, 2022

There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. Natural language generation and natural language understanding are frequently mentioned, too, but they’re subsumed under AI. Using AI to discover tasks that can be automated also comes up frequently.

Data Integration 291

Data Integration Insurance Dashboards Modeling 291

datapine

NOVEMBER 19, 2019

Get the inside scoop and learn all the new buzzwords in tech for 2020! Computer vision technology allows your smartphone camera, for instance, to decipher which element of the image it is capturing is a face, propelling technology such as Google Image Search to make decisions and deliver accurate results. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

datapine

DECEMBER 11, 2019

Learn what will enhance the SaaS infrastructure in our free cheat sheet! This means that your business’s data is available and secure regardless of a data breach or system failure. Today, most companies are in the process of implementing various business intelligence strategies, turning to SaaS BI tools to assist them in their efforts.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Smart Data Collective

DECEMBER 19, 2019

Yes, it’s AI again! Artificial Intelligence (AI) is always in the limelight from the last couple of years. So, AI is on whose side? So, AI is on whose side? Will data be compromised in making a future with AI? But before I start, let’s take a glimpse of how the global AI market looks like.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

Smart Data Collective

MAY 19, 2022

That’s a significant amount of time spent learning about your customers and their interests, gathering information, collecting data, and checking up. As your lead and client lists become longer, managing your workflow becomes more difficult. Handle your leads efficiently. Companies spent $2.8

Sales 133

Sales Big Data Cost-Benefit Marketing 133

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. The rate at which data is generated has increased exponentially in recent years. million searches per day and 1.2 trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

AUGUST 29, 2019

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. Chapter Introduction: Deep Reinforcement Learning.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Smart Data Collective

SEPTEMBER 12, 2019

The HR Technologist covers a lot of great information on big data and AI technology in the HR world. They recently published a great article on the utilization of machine learning and AI in employee background checks. Machine Learning and AI Lead to Exceptional Background Check Services.

Machine Learning 77

Machine Learning Measurement Big Data Publishing 77

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Even for organizations engaged in markedly different verticals, there is much to learn from them on how to approach data practices.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. Feel free to email me. If you don’t remember anything else, just remember we’re hiring.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

DataRobot Blog

NOVEMBER 8, 2022

How can you build a performance-driven organization where driving outcomes is ingrained in your culture and the ownership of the process is shared across agency and client stakeholders? Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. Download Now.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Smarten

DECEMBER 3, 2023

Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution. As Springboard notes, ‘Augmented Analytics is an example of human machine interaction in the data science field.’

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Occam's Razor

OCTOBER 12, 2017

The third section was sparked by a question a friend who works at a digital agency asked: Will I lose my job to automation soon? The Now section provides advice on how investing in growing your Analytical Thinking will contribute to greater success in the role you are in. The Next Career Plan: Prepping For An AI-First World.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Jet Global

MAY 1, 2023

It will show you what embedded analytics are and how they can help your company. We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Usually it’s human-generated text, but not always.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110