O'Reilly on Data
AUGUST 27, 2018
Fernando Perez talks about UC Berkeley's transition into an environment where many undergraduates use Jupyter and the open data ecosystem as naturally as they use email. Continue reading Sea change: What happens when Jupyter becomes pervasive at a university?
Bruno Aziza
AUGUST 30, 2018
Fannie Mae has established a modern data environment which results in a richer and more granular customer experience.
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IBM Big Data Hub
AUGUST 27, 2018
Changes in rules and regulations create a fertile environment for innovation, in sports and in business. You just have to know where to look and approach things with an open mind.
DSI Analytics
AUGUST 31, 2018
Many companies fail, despite their best efforts, at reinventing themselves in the digital age. Harvard’s Sunil Gupta, who has worked with top organizations around the globe, presents valuable lessons-learned in his recent book, Driving Digital Strategy: A Guide to Reimagining Your Business. This post is a summary and review of that book. Introduction: I really liked the […].
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.
O'Reilly on Data
AUGUST 27, 2018
Cristian Capdevila explains how Prognos is predicting disease. Continue reading Disease prediction using the world's largest clinical lab data set.
Cloudera
AUGUST 31, 2018
Two years ago I founded Hyperpilot with the mission to enable autopilot for container infrastructure. We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Last month, I joined Cloudera along with former team members Xiaoyun Zhu and Che-Yuan Liang to bring our expertise in intelligent automation to Cloudera’s modern platform for machine learning and analytics.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Peter James Thomas
AUGUST 29, 2018
Part of the In-depth series of interviews. Today I am talking to Christopher Bannocks , who is Group Chief Data Officer at ING. ING is a leading global financial institution, headquartered in the Netherlands. As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one.
O'Reilly on Data
AUGUST 30, 2018
The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. In this episode of the Data Show , I spoke with Eric Jonas , a postdoc in the new Berkeley Center for Computational Imaging. Jonas is also affiliated with UC Berkeley’s RISE Lab. It was at a RISE Lab event that he first announced Pywren , a framework that lets data enthusiasts proficient with Python run existing code at massive scale on Amazon Web Services.
Cloudera
AUGUST 28, 2018
Drum roll… Starting from well over 100 nominations, we are excited to announce the finalists for this year’s Data Impact Awards ! Each year, nominees have raised the bar, and this year is no exception. The level of impact that organizations have shown and the variety of use cases are inspiring. From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become
Juice Analytics
AUGUST 27, 2018
The folks in the front of the room stared with a forced intensity at (what must have been) the 23rd straight slide showing data about website performance. Their glazed eyes would have been entirely evident if the speaker wasn’t so intently focused on pointing out the change in bounce rate between August and July. In the back of the room, Brian wasn’t able to summon the energy to care.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
IBM Big Data Hub
AUGUST 31, 2018
Ahead of the “Change the Game: Winning with AI,” a September, 13, 2018 event, we asked a virtual roundtable of analytics experts and analysts to wrestle with some of the core issues surrounding AI.
O'Reilly on Data
AUGUST 27, 2018
David Schaaf explains how data science and data engineering can work together to deliver results to decision makers. Continue reading Jupyter notebooks and the intersection of data science and data engineering.
Cloudera
AUGUST 30, 2018
Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success.
CIO Business Intelligence
AUGUST 28, 2018
Self-service business intelligence (BI) is becoming more popular, as organizations look for ways to make it easier for business users at all levels to glean insights from growing volumes of data.
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.
IBM Big Data Hub
AUGUST 27, 2018
Are your efforts to leverage big data hampered by poor or outdated data management? .
O'Reilly on Data
AUGUST 27, 2018
Michelle Gill discusses how data science methods and tools can link information from different scientific fields and accelerate discovery. Continue reading Data science as a catalyst for scientific discovery.
Nutanix
AUGUST 28, 2018
A key technology trend we’ve seen recently in enterprise organizations is the increasing adoption of multiple cloud environments — combining on-premises private clouds and public cloud services.
Peter James Thomas
AUGUST 30, 2018
The rather famous tautology, “It’s déjà vu all over again”, has of course been ascribed to that darling of malapropisms, baseball catcher Yogi Berra [1]. The phrase came to mind for me today when coming across the following exhibit: © Business Over Broadway (2018). Based on Kaggle’s State of Data Science Survey 2017 (Sample size: 10,153).
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Smarten
AUGUST 28, 2018
Does Natural Language Processing Work with Advanced Analytics? Natural Language Processing (NLP) is a trend that has taken over technology. Vendors are applying this technique to all types of searching and Advanced Analytics is no exception. Nearly every enterprise is working on data democratization and wants to transform its business users into Citizen Data Scientists with easy-to-use tools that offer sophisticated analytical techniques and simple access and analysis – no matter the skill
O'Reilly on Data
AUGUST 27, 2018
Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future. Continue reading Beyond interactive: Scaling impact with notebooks at Netflix.
Nutanix
AUGUST 28, 2018
At Nutanix we strive every day to make infrastructure just a little bit better than it was yesterday. Over the last eight years, Nutanix has reinvented storage, reinvented the hypervisor, and created a delightful private cloud for virtualized workloads that makes the lives of our customers better.
O'Reilly on Data
AUGUST 27, 2018
Ryan Abernathey makes the case for the large-scale migration of scientific data and research to the cloud. Continue reading The future of data-driven discovery in the cloud.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
O'Reilly on Data
AUGUST 27, 2018
Tracy Teal explains how to bring people to data and empower them to address their questions. Continue reading Democratizing data.
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