- Data Science Project Infrastructure: How To Create It - Aug 30, 2021.
The intension for most data science projects is to build something that people use. Creating something purposeful requires a solid infrastructure and processes that keeps problem-solving front-and-center for your audience.
Data Science, Infrastructure, Project
- Demystifying the AI Infrastructure Stack - May 1, 2020.
AI tools and services are expanding at a rapid clip, and keeping a handle on this evolving ecosystem is crucial for the success of your AI projects. This framework will help you build your technical stack to deploy AI projects faster and at scale.
AI, Automation, Deployment, DevOps, Infrastructure, MLOps
- Bright Lights, Bright Future. TDWI Is Back in Vegas - Nov 14, 2018.
Whether you're building an architecture to support self-service or advanced analytics, delivering ROI from analytics, or using machine learning and AI, TDWI Las Vegas will give tools for success. Super Early Bird by Dec 14 and save with code KD20.
Analytics, Infrastructure, Las Vegas, TDWI, Training
- Catasys: VP Infrastructure and Chief Data Scientist - Oct 13, 2015.
As a leader in healthcare analytics and predictive models, provide clients with situational analyses, deep insight into areas for improvement in substance dependence treatment, and targets for actionable solutions.
CA, Catasys, Data Scientist, Healthcare, Infrastructure, Los Angeles, VP
- Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming - Mar 18, 2015.
We discuss key characteristics of social gaming data, ML use cases at King, infrastructure challenges, major problems with A-B testing and recommendations to resolve them.
A/B Testing, Analytics, Gaming, Infrastructure, King.com, Machine Learning, Predictive Analysis, Vince Darley
- Free Urban Data – What’s It Good For? - Nov 1, 2014.
See how the increasing availability of free urban datasets that has come with more cities participating in free data programs can be applied to solve interesting problems in this Big Data article.
Big Data Journal, Datasets, Infrastructure, Location Analytics, Smart City
- ASE International Conference on Big Data Science 2014: Day 1 Highlights - Aug 1, 2014.
Highlights from the presentations by Data Science leaders from Pivotal, IBM Research, George Washington University, IARPA at ASE Conference on Big Data Science 2014 held in Stanford University.
Cloud Foundry, Conference, Cybersecurity, Hadoop, Infrastructure, Predictive Models, Recommendation, Stanford
- Bosch Research and Technology Center: Data Mining Engineer – Big Data Infrastructure - Jul 25, 2014.
Bringing together disparate technologies to help solve business problems in Purchasing, Predictive Maintenance, Health Informatics, Vehicle Diagnostics, and other domains.
Big Data, Bosch, Engineer, Infrastructure, Palo Alto-CA
- CRN 25 Big Data Infrastructure Companies - Jun 24, 2014.
We examine the top 25 Big Data Infrastructure companies, part of CRN Big Data 100, which includes Amazon, IBM, and Microsoft.
Big Data, Companies, CRN, Infrastructure
- Don Zereski, VP, Local Search & Discovery, HERE (Nokia) on Location Analytics and Architecture Evolution - Jun 8, 2014.
We discuss trends in location analytics, evolution of HERE's analytics architecture, infrastructure challenges, data governance and more.
Data Governance, Don Zereski, Infrastructure, Interview, Location Analytics, Nokia, Real-time
- Interview: Walter Maguire, Chief Field Technologist on HP Big Data Strategy and HAVEn - May 28, 2014.
We discuss how HP views Big Data, capabilities of HP HAVEn, leveraging Big Data for improving customer experience, Analytics challenges, outsourcing criteria and current trends.
Business Intelligence, Customer Experience, Haven OnDemand, Infrastructure, Interview, Vertica, Walter Maguire
- Big Data Landscape, v 3.0, analyzed - May 15, 2014.
We analyze the Big Data Landscape and identify the most popular market segments in Analytics, Infrastructure, Applications, Open Source, and Data Sources categories. It is still early - only 4.5% of companies had exits.
Big Data, Big Data Analytics, Data Platform, Infrastructure, Landscape, Open Source, Startups
