Sat.Aug 25, 2018 - Fri.Aug 31, 2018

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Disease prediction using the world's largest clinical lab data set

O'Reilly on Data

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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How Fannie Mae is Creating a Modern Data Environment

Bruno Aziza

Fannie Mae has established a modern data environment which results in a richer and more granular customer experience.

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GDPR and a history of regulation-driven innovation

IBM Big Data Hub

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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Driving Digital Strategy (Review)

DSI Analytics

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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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Sea change: What happens when Jupyter becomes pervasive at a university?

O'Reilly on Data

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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Bringing AIOps to Machine Learning & Analytics

Cloudera

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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Specificity is the Soul of Data Narrative

Juice Analytics

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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Building accessible tools for large-scale computation and machine learning

O'Reilly on Data

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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In-depth with CDO Christopher Bannocks

Peter James Thomas

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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Winning with AI: Industry POV on how to change the game, part 2

IBM Big Data Hub

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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Introducing Cloudera Enterprise 6.0

Cloudera

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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Jupyter notebooks and the intersection of data science and data engineering

O'Reilly on Data

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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7 keys to self-service BI success

CIO Business Intelligence

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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How consistent data governance helps eliminate "Garbage In, Garbage Out"

IBM Big Data Hub

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

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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In the Multi-Cloud Era, Cloud Cost Optimization is an Engineering Problem

Nutanix

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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Data science as a catalyst for scientific discovery

O'Reilly on Data

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.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

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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Natural Language Processing for Advanced Analytics!

Smarten

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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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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The Only Hypervisor Certified for Production SAP HANA on Hyperconverged Infrastructure (HCI): Another First for Nutanix AHV

Nutanix

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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The future of data-driven discovery in the cloud

O'Reilly on Data

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.

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Data Science Challenges – It’s Deja Vu all over again!

Peter James Thomas

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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Beyond interactive: Scaling impact with notebooks at Netflix

O'Reilly on Data

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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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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Democratizing data

O'Reilly on Data

Tracy Teal explains how to bring people to data and empower them to address their questions. Continue reading Democratizing data.

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