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.

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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.

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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 […].

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

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?

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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.

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Machine Learning Analytics Optimization Big Data 66

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.

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Visualization Machine Learning Sales IT 64

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.

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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.

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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.

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Analytics 44

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

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.

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Enterprise Data-driven Digital Transformation Machine Learning 40

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.

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Data Science 102

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.

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Business Intelligence IT 40

IBM Big Data Hub

AUGUST 27, 2018

Are your efforts to leverage big data hampered by poor or outdated data management? .

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Data Governance Big Data Management 40

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

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.

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Optimization Enterprise Technology 20

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.

Data Science 101

Data Science 101

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

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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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Data Science Data Quality Machine Learning Business Intelligence 75

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

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.

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IT 20

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.

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Interactive 101

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

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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.

Data-driven 101

Data-driven 101

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

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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