5 Lessons from a Data Science Chat
Data science applications, key challenges, appropriate skills and more – key takeaways from a data science Tweet chat.
on Mar 19, 2015 in Booz Allen, Chat, Data Science, Data Science Skills, Twitter
Strata + Hadoop World 2015 San Jose – report and highlights
Highlights of Strata + Hadoop World San Jose, including Apache Spark vs Storm vs Samza for streaming data, Kafka as a universal message bus, what Netflix puts in front of HDFS, Parquet as a basis for ETL and analytics, DJ Patil, Internet of Things, and more.
on Feb 27, 2015 in Apache Spark, CA, DJ Patil, Hadoop, Kafka, San Jose, Strata
Interview: Nicholas Marko, Geisinger on the Skills Needed for Healthcare Analytics
We discuss challenges of dealing with healthcare data, trends in healthcare analytics, important skills for data scientists and more.
on Feb 27, 2015 in Analytics, Data Science Skills, Geisinger Health System, Healthcare, Nicholas Marko
The Internet of People: 4 key principles for analyzing personal data
The “Internet of People” raises a host of legal and ethical questions about the ownership and use of our personal data. We all have a stake in joining and navigating this increasingly stormy debate. Here are 4 key principles.
on Feb 27, 2015 in Andrew Jennings, Big Data, Ethics, FICO, Personal Data, Predictive Analytics, Privacy
Interview: Nicholas Marko, Geisinger on Building the Analytics Culture for Healthcare
We discuss how to establish credibility of data analytics, recommendations for a data-driven culture, analytics challenges in healthcare and more.
on Feb 26, 2015 in Analytics, Data-Driven Business, Decision Making, Geisinger Health System, Healthcare, Nicholas Marko
RE.WORK Deep Learning Summit, San Francisco, January – videos, presentations
Interesting videos and presentations from January Deep Learning Summit include a Fireside Chat with Andrew Ng and Derrick Harris, presentations by Richard Socher (Founder, MetaMind), Quoc Le (Research Scientist, Google), Greg Corrado (Sr Research Scientist at Google), and more.
on Feb 26, 2015 in Andrew Ng, CA, Deep Learning, Google, MetaMind, Quoc Le, RE.WORK, Richard Socher, San Francisco
Interview: Nicholas Marko, Geisinger on the Groundwork for Big Data Success
We discuss Big Data & Analytics at Geisinger Health System, CDO challenges, and impact of Big Data on decision making at executive level.
on Feb 25, 2015 in Big Data Analytics, Challenges, Chief Data Officer, Geisinger Health System, Healthcare, Insurance, Nicholas Marko
Beagli: Finding value in your personal data
Personal analytics products can help users extract value from their data. This post describes our development of Beagli, a platform for mining and auctioning personal data.
on Feb 25, 2015 in Marketplace, Privacy, Startups
Interview: David Kasik, Boeing on Data Analysis vs Data Analytics
We discuss the impact of increasing amount of data on visualization, difference between Data Analysis and Data Analytics, motivation, trends, desired skills and more.
on Feb 23, 2015 in 3D, Boeing, Career, Data Analysis, Data Analytics, David Kasik, Trends, Visualization
Big Data, Privacy, and Security – which side are you on?
After all the positive promise, the hype, and predictions about Big Data, 2015 started with a debate about privacy and specifically whether or not companies like Google and Facebook should be allowed to encrypt their users data.
on Feb 18, 2015 in Big Data, Chris Pearson, Encryption, Facebook, Google, NSA, Paris, Privacy, Security
Data Mining finds JASBUG, a Critical Security Vulnerability
We explain how the critical Microsoft security vulnerability JASBUG that existed for 15 years was detected with similarity search and regular expression inference.
on Feb 17, 2015 in Biology, gTLD, JASBUG, Microsoft, Security, Similarity, simMachines
Interview: David Kasik, Boeing on How Visual Analytics is Improving Aviation Safety
We discuss data visualization at Boeing, the importance of Visual Analytics, Aviation Safety improvement through Analytics and augmented reality.
on Feb 16, 2015 in Augmented Reality, Aviation, Boeing, Data Visualization, David Kasik, Graphics, Interview, Visual Analytics
Interview: M.C. Srivas, CTO, MapR on Data Agility – The Next Frontier of Big Data
We discuss the competitive differentiation of MapR, challenges in consumerizing Big Data, trends, strategy recommendations, desired skills and more.
on Feb 12, 2015 in Big Data, Business Strategy, Challenges, Competition, Education, Interview, M. C. Srivas, MapR, Trends
Interview: M.C. Srivas, MapR on Demystifying the Art of Processing Massive Data
We discuss the launch and evolution of MapR, achievements, key characteristics of MapR-DB, significance of Apache Drill, MapR use cases and more.
on Feb 11, 2015 in Apache Drill, Apache Spark, Google, M. C. Srivas, MapR, Mining Massive Datasets, Shark
PAW: How Predictive Analytics Reinvents These Six Industries
Predictive analytics is a game-changer - it's like "Moneyball" for... money. This article summarizes and links resources with late-breaking coverage of how predictive analytics reinvents six industries.
on Feb 10, 2015 in Eric Siegel, Finance, Government, Healthcare, Manufacturing, Marketing, PAW, Predictive Analytics World, Workforce Analytics
Interview: Phani Nagarjuna, Nuevora on Right Data and Business Analytics Roadmap
We discuss the journey of Business Analytics, definition of Right Data, competitive differentiation of Nuevora, challenges in the large-scale consumerization of analytics, and more.
on Feb 10, 2015 in Business Analytics, Competition, Data Science Skills, Marketing, Nuevora, Phani Nagarjuna, Predictive Analytics
Data Science’s Most Used, Confused, and Abused Jargon
As data science has spread through the mainstream, so too has a dense vocabulary of ill-defined jargon. In a split-personality post, we offer several perspectives on many of data science's most confused terms.
on Feb 10, 2015 in Big Data Privacy, Data Science, Deep Learning, Zachary Lipton
Analyzing Analysts to Build Better Analysis Software
Our study how analysts used Mode led to major updates designed to fit how data analysts and business analysts actually use data - there's no one-size-fits-all tool and analysis doesn't end with the analyst.
on Feb 10, 2015 in Business Analyst, Data Analyst, Mode Analytics, SQL
10 things statistics taught us about big data analysis
There are 10 ideas in applied statistics are relevant for big data analysis, focusing on prediction accuracy, interactive analysis and more.
on Feb 10, 2015 in Best Practices, Big Data, Overfitting, Statistics
Interview: Phani Nagarjuna, Nuevora on CMO Expectations from Analytics
We discuss the value proposition of Nuevora, founding story, CMO expectations from Analytics and the Nuevora nBAAP platform.
on Feb 9, 2015 in Analytics, Applications, Interview, Nuevora, Phani Nagarjuna, Platform, Prescriptive Analytics, Real-time
Top 30 people in Big Data and Analytics
Innovation Enterprise has compiled a top 30 list for individuals in big data that have had a large impact on the development or popularity of the industry.
on Feb 9, 2015 in About Gregory Piatetsky, Andy Palmer, Big Data, Big Data Influencers, DJ Patil, Hilary Mason, IE Group, Kirk D. Borne, Paco Nathan, Tom Davenport, Wolfram
Interview: Jason Bloomberg, Intellyx on the Tricky Balance of Optimization and Innovation
We discuss Agile Digital Transformation, Optimization vs Innovation trade-off, best innovations of 2014, trends, advice and more.
on Feb 6, 2015 in Data-Driven Business, Disruptive, Innovation, Intellyx, Jason Bloomberg, Optimization, Recommendations
Two Most Important Trends in Analytics and Big Data in 2015
In 2015, two most important trends in Analytics and Big Data are in developing countries and big data security.
on Feb 6, 2015 in Big Data, Predictions for 2015, Security, Trends
How Many Quants are Changing Jobs?
Being a quantitative recruiter, I have had a unique perspective on the current climate and how often are Quants changing jobs? What does this mean if you’re a Quant? What does this mean if you’re trying to hire a Quant?
on Feb 6, 2015 in Burtch Works, Hiring, Quants
The Post-Hadoop World: New Kid On The Block Technologies
Big Data technology has evolved rapidly, and although Hadoop and Hive are still its core components, a new breed of technologies has emerged and is changing how we work with data, enabling more fluid ways to process, store, and manage it.
on Feb 5, 2015 in Apache Spark, Big Data, Chronos, Docker, Hadoop, YARN
Analytics Outsourcing to India: Should or Shouldn’t?
Outsourcing analytics talent to India will continue to grow as a trend as evidenced by the increasing number of Fortune 500 companies participating in the practice.
on Feb 5, 2015 in Analytics, Data Science Team, India, Outsourcing
Interview: Rachel Hawley, SAS on Why Data Science Needs Communication Skills
We discuss SAS Analytics Center of Excellence, trends, advice, desired skills in data science and more.
on Feb 4, 2015 in Advice, Communication, Data Science, Hiring, Rachel Hawley, SAS, Skills, Trends
Interview: Rachel Hawley, SAS on the Quest for Agile Analytics
We discuss Agile Analytics, moving from traditional Analytics to Agile, challenges in operationalizing Analytics, SAS Enterprise Decision Management and SAS In-Memory Statistics.
on Feb 3, 2015 in Agile, Analytics, Big Data ROI, Challenges, Decision Management, In-Memory Computing, Rachel Hawley, SAS, Statistics
Interview: Eli Collins, Cloudera on Evolution and Future of Big Data Ecosystem
We discuss the change in Big Data priorities, risks, Big Data ecosystem, rise of data culture in organizations, challenges, advice and more.
on Feb 2, 2015 in Advice, Big Data, Cloudera, ecosystem, Eli Collins, Strategy, Trends, Vendors
Avoiding a Common Mistake with Time Series
We explore a common mistake in analyzing relationships between time series, and show how de-trending helps to avoid this error.
on Feb 2, 2015 in De-trending, Regression, Time Series, Tom Fawcett
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