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.
DataRobot Blog
APRIL 22, 2019
by Jen Underwood. So many buzzwords, so much confusion. Automated analytics, artificial intelligence (AI)-driven BI, and automated machine learning (AutoML), aren’t these terms describing the exact same thing? NO. Although these technologies may. Read More.
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Analytics Vidhya
APRIL 25, 2019
Introduction We are currently in the midst of a global fitness revolution. Most of the people I know are geeking out over the latest. The post How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!) appeared first on Analytics Vidhya.
O'Reilly on Data
APRIL 25, 2019
The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms. In this episode of the Data Show , I spoke with Neelesh Salian , software engineer at Stitch Fix , a company that combines machine learning and human expertise to personalize shopping. As companies integrate machine learning into their products and systems, there are important foundational technologies that come into play.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Corinium
APRIL 24, 2019
Data privacy laws around the world are changing and the new laws have teeth. They recognize the rights of consumers to own and control their own data. And they hold enterprises unequivocally accountable for protecting personal data, thus creating a huge burden of compliance. Are you responsible for data innovations or data decisions at your company?
BA Learnings
APRIL 24, 2019
Though the Agile Methodology is used heavily in software development domains, it has since spread into different sectors. With Agile comes a growing emphasis on equipping the development team, e.g. your software developers, content writers, engineers, designers, etc, with the information, tools, and direction they need to produce a tangible output within a fixed period of time, that is, sprints of typically 2 weeks.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Sisense
APRIL 24, 2019
In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. When querying a production database, optimization is key. An inefficient query may pose a burden on the production database’s resources, and cause slow performance or loss of service for other users if the query contains errors.
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 ?
Data Science 101
APRIL 26, 2019
While it is not one of the popular programming languages for data science, The Go Programming Language (aka Golang) has surfaced for me a few times in the past few years as an option for data science. I decided to do some searching and find some conclusions about whether golang is a good choice for data science. Popularity of Go and Data Science. As the following figure from Google Trends demonstrates, golang and data science became trendy topics at about the same time and grew at a similar rate
Analytics Vidhya
APRIL 24, 2019
Introduction How do computer vision techniques work in an industry setting? How does an organization use data engineering to scale up its operations? These. The post DataHack Radio #22: Exploring Computer Vision and Data Engineering with Dat Tran appeared first on Analytics Vidhya.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Smart Data Collective
APRIL 22, 2019
. When you’re presenting data analytics or any technical information to a non-technical audience, it can be difficult. You have to think about the components of a good presentation in general, but also how to simplify complex subjects and information and make them resonate with your target audience. If you’re someone who understands data analytics well or is highly technical, it can be especially challenging to know how to make your presentation work for the needs of an audience which is differ
Corinium
APRIL 23, 2019
After a number of weeks speaking to experts from differing customer roles, from a variety of company sizes, some key themes have emerged.
erwin
APRIL 25, 2019
For decades now, the professional world has put a great deal of energy into discussing the gulf that exists between business and IT teams within organizations. They speak different languages, it’s been said, and work toward different goals. Technology plans don’t seem to account for the reality of the business, and business plans don’t account for the capabilities of the technology.
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.
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.
Smart Data Collective
APRIL 24, 2019
Manufacturing is a more powerful and essential part of our industries and economies than ever. But setting these vital enterprises up for maximum success and unrivaled innovation takes information — and that means gathering data. If you represent a manufacturing concern and you’re wondering about the benefits of capturing and analyzing operational data , you’ve come to the right place.
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.
Dataiku
APRIL 25, 2019
Analysts are eager to dive into new challenges, but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies. That's why we assembled a set of free resources for analysts to activate their data science and machine learning expertise.
IBM Big Data Hub
APRIL 25, 2019
Evolving from departmental, small-group AI projects to an enterprise data science platform can put your business on a path to significant competitive advantage. Those who don’t seize the opportunity risk falling behind the curve. But some might not be sure how to begin. If you’re interested in learning how to get going, our publication, A business guide to modern predictive analytics, is great place to start.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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.
Perceptual Edge
APRIL 21, 2019
To thoroughly, accurately, and clearly inform, we must identify the intended signal and then boost it while eliminating as much noise as possible. This certainly applies to data visualization, which unfortunately lends itself to a great deal of noise if we’re not careful and skilled. The signal in a stream of content is the intended message, the information we want people to understand.
DataRobot
APRIL 22, 2019
We’re happy to announce the new V4 release of our popular DataRobot tools for Alteryx. We’ve taken the feedback from hundreds of customers and partners to incorporate even more robust functionality into the connectors.
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Smart Data Collective
APRIL 20, 2019
Many people believe that digital media is rapidly replacing traditional forms of branding. They believe that advances in big data have made business cards, brochures and direct mail marketing obsolete. Nothing could be further from the truth. We previously published an article on the state of direct mail marketing. We showed that marketers are actually using big data to improve the performance of their direct mail marketing campaigns.
Jet Global
APRIL 22, 2019
Spring has officially sprung! And you know what that means…a new Jet Global product release! We will be rolling out the official Jet 20.0 Release this April and want to tell you about some of the new features and benefits you can expect to see. At Jet Global, we are always trying to make our reporting, analytics, and data management solutions easier to use, more powerful, and better.
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.
Sisense
APRIL 21, 2019
When your organization decides to pull the trigger on a cloud migration, a lot of stuff will start happening all at once. Regardless of how long the planning process has been, once data starts being relocated, a variety of competing factors that have all been theoretical become devastatingly real: frontline business users still want to be able to run analyses while the migration is happening, your data engineers are concerned with the switch from whatever database you were using before, and the
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.
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.
The Data School
APRIL 22, 2019
Data within a database exists across multiple tables, JOINs allow you to combine datasets into new tables for analysis.
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.”.
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.
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
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