Andrew White

APRIL 23, 2019

I spotted a fascinating article in today’s US print edition of the Financial Times. It was titled, “ Patients take control of their medical data ”. Here is the quote that almost took my breath away: “It [a new data platform collecting medical data] now has 1,200 users on its platform and has entered into research partnerships with pharma and health companies including Johnson & Johnson and Medtronic, as well as the Food and Drug Administration, the US medicines regulator.”.

Modeling 70

Modeling IT 70

Dataiku

APRIL 23, 2019

Smart hiring (and retention ) of data scientists combined with the power of open source can get companies started in their machine learning (ML) efforts. But the path to Enterprise AI means exponentially scaling efforts (i.e., operationalization) while keeping responsibility and governance top-of-mind, and that’s not something that can be left to just strategic hiring and cutting-edge ML tech alone.

Machine Learning 69

Machine Learning Enterprise Data Governance 69

Corinium

APRIL 23, 2019

Ahead of the third Chief Data & Analytics Officer (CDAO) Singapore conference, we caught up with Melecio Valerio Jr, Head, Data Strategy and Governance at FWD Life Insurance to discuss the key strategies for managing massive volumes of data, the cornerstones for building a data driven enterprise as well as how to best roll out an enterprise-wide data management program.

Enterprise 150

Enterprise Management Insurance Data-driven 150

Data Science 101

APRIL 23, 2019

Microsoft Azure has an abundance of data science capabilities (and non-data science capabilities). It can be challenging to keep up with the latest updates/releases. Luckily, Azure has a page to let you know exactly what has changed. You just need to know where to find it, and the following video will help you find that page. Also, if you are still interested in earning a Microsoft Data Science Certification , join the Study Group.

Data Science 89

Data Science IT 89

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Corinium

APRIL 23, 2019

At Dorchester Collection of ultra-luxury hotels, we use big data and analytics to help us improve our guest o?erings and marketing. Our tool, Metis, analyzes data from online reviews and social media to uncover problems and opportunities. But, as the Dorchester Collection’s director of global guest experience and innovation, I’ve discovered that often the data can only tell you where there’s a problem, not why it exists, or how to ?

Big Data 150

Big Data Marketing Analytics IT 150

Teradata

APRIL 23, 2019

At Teradata, we think a lot about our customers in the cloud, and continue on our promise to deliver choice and flexibility by adding new as-a-service options for Teradata Vantage.

83

83

Smart Data Collective

APRIL 23, 2019

Influencers are rapidly transforming the digital marketing landscape. Nearly two out of five plan to increase their influencer marketing budgets substantially in the coming year. Only 7% of respondents in a recent poll spent less than $10,000 on influencer marketing. However, many brands are still struggling to cultivate their ideal influencer marketing strategy.

Big Data 81

Big Data Data mining ROI Marketing 81

IBM Big Data Hub

APRIL 23, 2019

It's well-established that customer retention is much less expensive than customer acquisition. Therefore, preventing churn is a priority for nearly every company. A vital part of a viable strategy for preventing churn is the effective use of data. Let’s look at the role predictive analytics can play in that strategy.

Modeling 76

Modeling Predictive Analytics Strategy Analytics 76

Smart Data Collective

APRIL 23, 2019

The combination of technologies used to create and run web applications varies in complexity, scalability, and latency. The technology stack you should user to power your web application depends on a variety of factors. Here’s a rundown of each type of tech your web app needs to work , and what to consider before beginning development. How web development works.

Technology 77

Technology Interactive Marketing IT 77

DataRobot

APRIL 23, 2019

In this Data Scientist Spotlight, you’re going to meet Sergey Yurgenson , the Director of Advanced Data Science Services at DataRobot. Sergey is a Kaggle Grandmaster who was named one of the top ten Kaggle data scientists in 2012. He has been with DataRobot since the early days and has a lot of insight and experience to share.

Data Science 75

Data Science 75

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Decision Management Solutions

APRIL 23, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate.

Insurance 69

Insurance Risk Technology Management 69

datapine

APRIL 23, 2019

In today’s business world, competition is fierce across all industries and sectors, which means that to survive and thrive, working with measurable online data analysis and performance metrics is essential. Studies suggest that by 2020, customer experience (CX) will be the main brand differentiator (according to a research conducted by the customer experience consultant company Walker), surpassing factors such as price and product in terms of importance to today’s digitally native consumers.

KPI 169

KPI Key Performance Indicator Metrics Snapshot 169

Smart Data Collective

APRIL 23, 2019

Big data is playing a vital role in productivity optimization in virtually every industry. Countless new tools rely on big data to streamline productivity. Big Data Makes Productivity Technology a Thing of the Future. Assuming you have a solid business model in place, your team’s productivity will correlate closely with your overall success. Productive teams are able to get more done every day.

Big Data 71

Big Data Measurement Experimentation Reporting 71