CIO Business Intelligence

MARCH 25, 2022

With all the focus today on this transformation work, boards must ensure that no organization falls behind on the business benefits to be gained by leveraging technologies in data science, AI, machine learning, blockchain, etc. The heart of any digital transformation is the data.

Digital Transformation 115

Digital Transformation Machine Learning Uncertainty Strategy 115

DataRobot

MAY 11, 2021

It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels. At DataRobot, we have always known that data science is a team sport. Customize and automate your data science workflows.

Data Science 98

Data Science Cost-Benefit Data Processing Machine Learning 98

Rita Sallam

JULY 31, 2017

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Over the past 10 years or more, visual-based data discovery tools (e.g. Tableau, Qlik, Tibco Spotfire) have disrupted the traditional BI market (e.g.

Marketing 72

Marketing Analytics Machine Learning Data Science 72

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. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Insight

AUGUST 29, 2019

Insight Boston began its journey in 2015, with the first and only fellowship program dedicated to a career in Health Data Science. In 2017, we expanded the location to include our Data Science program, and in early 2018, we welcomed our first Data Engineering Fellows. Insight Boston Alumni: Where are they now?

Data Science 56

Data Science Machine Learning Sales Measurement 56

Cloudera

SEPTEMBER 28, 2020

ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Testing 132

Testing Metadata Risk Data Science 132

Andrew White

JANUARY 9, 2020

Examples are given: one is a Chinese firm who apparently has 300,000 staff tagging data every minute of every day – to feed into its ML technologies to drive more effective AI solutions. But then I remembered synthetic data. So I wonder – when will synthetic data be (yet another) next big thing?

Machine Learning 59

Machine Learning Data Science Technology IT 59

IBM Big Data Hub

SEPTEMBER 11, 2023

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. It leverages machine learning algorithms to continuously learn and adapt to workload patterns, delivering superior performance and reducing administrative efforts.

Machine Learning 85

Machine Learning Cost-Benefit IoT Data Warehouse 85

DataRobot Blog

SEPTEMBER 22, 2022

Leading French organizations are recognizing the power of AI to accelerate the impact of data science. Since 2016, DataRobot has aligned with customers in finance, retail, healthcare, insurance and more industries in France with great success, with the first customers being leaders in the insurance space. . Not in Paris?

Big Data 52

Big Data Insurance Experimentation Data Science 52

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.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Insight

AUGUST 8, 2019

Whether they’re looking to transition to Data Science, Health Data Science, Data Engineering, Artificial Intelligence, DevOps Engineering, Decentralized Consensus, or Security, Insight Fellows typically already have 90% of the skills they need to succeed in the field. Insight’s model is very different from this.

Data Science 66

Data Science Cost-Benefit Big Data Management 66

Sanjeev Mohan

FEBRUARY 6, 2019

My journey in helping our customers with their technical queries started when I joined Gartner in late 2016. I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases. So, why did I decide to write on this topic?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

DataRobot Blog

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. Python is unarguably the most broadly used programming language throughout the data science community.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. April 2016: Tesco Group becomes first customer outside North America.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Data Science 101

OCTOBER 12, 2023

The first project we did used NLP for finance contracts (this was 2016). It’s petabytes of data, so a lot of my time is spent processing it. Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. In 2022 I actually joined the lab and here we are today.

Finance 64

Finance Machine Learning Interactive Manufacturing 64

Smarten

SEPTEMBER 9, 2024

The Definition and Evolution of the Citizen Data Scientist Role The world-renowned technology research firm, Gartner, first introduced the concept of the Citizen Data Scientist in 2016. Citizen Data Scientist candidates may also be IT team members who are interested in data science.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

Domino Data Lab

SEPTEMBER 25, 2019

Conducting exploratory analysis and extracting meaningful insights from data are core components of research and data science work. Time series data is commonly encountered. We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Domino Data Lab

OCTOBER 23, 2019

As Domino is committed to supporting data scientists and accelerating research, we reached out to Addison-Wesley Professional (AWP) Pearson for the appropriate permissions to excerpt “Predicting Social-Media Influence in the NBA” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Smarten

SEPTEMBER 9, 2024

What is a Citizen Data Scientist, What is Their Role, What are the Benefits of Citizen Data Scientists…and More! The term, ‘Citizen Data Scientist’ has been around for a number of years. In fact, the world-renowned technology research firm, Gartner, first introduced the concept in 2016.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

CIO Business Intelligence

JULY 20, 2023

A few things: Tackle bias not just in your data, but also be aware it can result from how the data is interpreted, used, or interacted with by users Lean into open source tools and data science. Chet successfully took Apigee public before the company was acquired by Google in 2016. Chet earned his B.S.

Machine Learning 40

Machine Learning Risk Deep Learning Interactive 40

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Visualizing data using t-SNE. Joulin, A., arXiv: 1607.01759.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Cloudera

JANUARY 22, 2019

From a problem-solving perspective, Big Data Fabric overcomes the challenges of insufficient data availability, unreliability of data storage and security, siloed data, poor scalability, and reliance on underperforming legacy systems. What Use Cases does Big Data Fabric support?

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Rita Sallam

JULY 22, 2016

Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. Research VP, Business Analytics and Data Science. A modern BI platform supports IT-enabled analytic content development. Enjoy your summer!! Thanks for reading and stay tuned. Regards, Rita Sallam.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

17:263-287, 2016. [10] Journal of Machine Learning Research, 17(83):1–5, 2016. [23] G - Reference, Information and Interdisciplinary Subjects Series, Harvard Business Review Press, 2015. [9] 9] Thomas Lipp and Stephen P. Variations and extension of the convex–concave procedure. Optimization and Engineering., Domahidi, E.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 26

IoT Big Data Data Warehouse Uncertainty 26

Insight

MARCH 18, 2019

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. 2016) for an example of this technique (LIME). References.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 1, 2021

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. 260-270, [link]

Modeling 111

Modeling Statistics Testing Metrics 111

Rita Sallam

SEPTEMBER 11, 2020

In 2016, life expectancy in the United States (78.5) The United States grew the least at only 2% from 2000 to 2016. Don’t miss the Data Science and Machine Learning Bake-Off on September 15th at 1:pm EDT. was almost 4yrs less than the average of all other countries combined (82).

Statistics 73

Statistics Machine Learning Sales Data Science 73

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari. Best for : the new intern who has no idea what data science even means. It was lately revised and updated in January 2016.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

MAY 17, 2022

In particular, the company has low confidence in its ability to address fundamental problems with machine learning and AI applications, according to the document. Microsoft’s Tay chatbot, released on Twitter in 2016, quickly started spewing racist, misogynist, and anti-Semitic messages. Can we use nurse practitioners instead?

Risk 145

Risk Data Science Machine Learning Consulting 145

CIO Business Intelligence

MARCH 14, 2025

In 2016, Andrew Ng, one of the best-known researchers in the field of AI,wroteabout the benefits of establishing a chief AI officer role in companies, as well as the characteristics and responsibilities such a role should have.

Technology 129

Technology Business Objectives Strategy Machine Learning 129

Smarten

MARCH 20, 2025

Find Out the How of the Citizen Data Scientist Approach! In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

Prescriptive Analytics 62

Prescriptive Analytics Advertising Data-driven Statistics 62

CIO Business Intelligence

MARCH 3, 2025

Ya en 2016 Andrew Ng, uno de los investigadores ms conocidos en el campo de la IA, escriba sobre los beneficios de integrar este rol en las empresas y de las caractersticas que deba tener. Jordi Escayola es su Global Head of Advanced Analytics, Artificial Intelligence and Data Science.

Machine Learning 85

Machine Learning Data Science Technology Management 85

Domino Data Lab

APRIL 24, 2019

The Mueller Report , officially known as the Report on the Investigation into R ussian Interference in the 2016 Presidential Election , was recently released and gives the public more room than they perhaps expected to draw their own conclusions. Here we use R and its tidytext and tidyverse libraries to start our analysis. Happy mining!

Data Science 106

Data Science Reporting Analytics Machine Learning 106