Big Data Top Trends in 2015
Big Data may bring increased usage of in-memory databases, data democratization, sensor data, customer and HR analytics, and big data-driven corporate insights in 2015, according to Josie King of Innovation Enterprise.
on Nov 28, 2014 in Customer Research, Data Democratization, HR, Predictions for 2015, Sensors, Workforce Analytics
Surfing the Big Data Wave at H2O World
Recent H2O World event showcased its open-source, scalable machine learning in the cloud, intended for people familiar with R but limited by its scalability. H2O can run on Hadoop and also on Apache Spark.
on Nov 25, 2014 in Arun Swami, Deep Learning, H2O, Machine Learning, Mountain View-CA, R
Highlights and PPTs from the IEEE Big Data 2014 conference
The IEEE International Conference on Big Data has quickly become a top-tier conference. Check the highlights and presentations from 2014 event, held recently Washington, DC, with about 600 attendees.
on Nov 23, 2014 in Big Data, IEEE, Tom Mitchell, Washington-DC, Xiaohua Tony Hu
Interview: Philip Maymin, NYU on Why Sports should Embrace Analytics?
We discuss how the increasing use of Analytics will change the game of basketball, the concern of Analytics ruining the game, significant trends, advice and more.
on Nov 22, 2014 in Advice, Basketball, NBA, Optical Analytics, Philip Maymin, Sports, Trends
9 Must-Have Skills You Need to Become a Data Scientist
Burtch Works details the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter.
on Nov 22, 2014 in Burtch Works, Data Science Skills, Data Scientist, Hiring, MOOC, Unicorn
Interview: Philip Maymin, NYU on How Optical Analytics will Revolutionize Basketball
We discuss the emergence of Optical Analytics, its impact on NBA, challenges in integrating Optical Analytics into game strategy, the trade-off of analytical insights vs gut instinct and the impact on fan engagement.
on Nov 21, 2014 in Analytics Consultant, Chief Analytics Officer, Interview, NBA, NYU, Optical Analytics, Philip Maymin, Sports
Interview: Joseph Sirosh, Microsoft on Azure ML and the Emerging Data Science Economy
We discuss what distinguishes Azure ML from its intense competition, the online machine learning university, current maturity level of Big Data solutions, important skills for data scientists and more.
on Nov 19, 2014 in Azure ML, Hiring, Joseph Sirosh, Machine Learning, Marketplace, Microsoft, Predictive Analytics
A 3D Analytic Framework for Visual Data Discovery
A presented 3D Visual Analytic Framework enables Visual Data Discovery, and allows all discovery actions to performed inside 3D Unified Visual Data Representation Space.
on Nov 19, 2014 in 3D, Data Visualization, Stocks
AnalyticsStreet Panel Report: Frontiers and Dangers of Analytics and Big Data
A summary of technology panel I moderated with analytics leaders from DataXu, Tamr, Sqrrl, Nutonian, and Basis Technology. Key issues that emerged include machine learning, streaming data, unstructured and text data, the data mining process, security, and privacy.
on Nov 18, 2014 in AnalyticsWeek, Basis Technology, Boston-MA, DataXu, Nutonian, Panel, Security, Sqrrl, Tamr
Interview: Joseph Sirosh, Microsoft on How Azure ML is Simplifying Predictive Analytics
Microsoft Corporate VP of Machine Learning, Joseph Sirosh talks about the recently released Azure ML, users’ feedback, favorite business use cases, how Azure ML fits in the Microsoft’s portfolio for Big Data solutions and more.
on Nov 18, 2014 in Azure ML, Dell, Joseph Sirosh, Machine Learning, Marketplace, Microsoft, Predictive Analytics
The Analytics of Digital Transformation, according to TCS
Lipika Dey, in this interview before her talk at next month's LT-Accelerate conference, discusses consumer and market analytics and techniques to extract actionable information from text and social media data.
on Nov 17, 2014 in Altaplana, Customer Analytics, Interview, TCS
R and Hadoop make Machine Learning Possible for Everyone
R and Hadoop make machine learning approachable enough for inexperienced users to begin analyzing and visualizing interesting data to start down the path in this lucrative field.
on Nov 16, 2014 in Data Science Skills, Hadoop, Hadoop 2.0, Joel Horwitz, LinkedIn, Machine Learning, R
KDnuggets Exclusive: Marten Mickos, SVP, HP on the Role of Open Source in Cloud industry
In an exclusive interview with KDnuggets, Marten talks about HP’s Open Source strategy, evolution of Open Source production model, learning from the success of Open Source in Web, trends and more.
on Nov 15, 2014 in Career, Cloud, Helion, HP, Interview, Marten Mickos, Open Source, OpenStack
KDnuggets Exclusive: Marten Mickos, SVP, HP on Why the Future Belongs to “Hybrid Clouds”
In an exclusive interview with KDnuggets, Marten talks about the future of Eucalyptus (recently acquired by HP), defines Hybrid Clouds and their importance, and gives some tips for vendor selection.
on Nov 13, 2014 in AWS, Cloud, Helion, HP, HPE, Interview, Marten Mickos, OpenStack, PaaS
To Hire Quants, Fix Your Hiring Process
Hiring talented quants requires an up-to-date hiring process including components like competitive salaries, special bonuses, expedient timelines, and that extra special touch to make your company stand out to quality candidates.
on Nov 7, 2014 in Analytics Team, Burtch Works, Competition, Hiring, Salary
Berkeley Michael Jordan says Big Data is transformative, not a delusion
Machine Learning expert Michael Jordan is dismayed by the misleading "The Delusions of Big Data" title given to his interview, says Big Data not a delusion, but transformative, changing academia and society.
on Nov 7, 2014 in Big Data, Michael Jordan
Why the Fast Data world needs a proven and mature In-Memory Data Fabric?
The exponential growth in demand for data processing is leading to immense interest in In-Memory Computing. GridGain In-Memory Data Fabric has now been accepted into the Apache Incubator program.
on Nov 6, 2014 in Adoption, Apache, Big Data, GridGain, In-Memory Computing, Incubation, Nikita Ivanov, Realtime Analytics
The Future of Analytics: 3 Predictions for BI in 2015
A look at business intelligence in the year to come, in light of the latest developments in the industry: data keeps growing, companies demand self-service and agile software, and in-memory technology is forced to face its limitations.
on Nov 6, 2014 in Business Intelligence, Internet of Things, Predictions, Predictions for 2015, Sisense
STRATA + Hadoop World 2014 NYC Report
Strata + Hadoop World this year included workshops on subjects like Spark, R, and Python, interesting keynotes, and impressive detailed technical talks on subjects on Hadoop and new trends in big data.
on Nov 5, 2014 in Apache Spark, Big Data, Hadoop, New York-NY, Python, R, Sheamus McGovern, Strata
BigData TechCon San Francisco Report: Focus on Spark
BigData TechCon SF 2014 covered a number of data technologies from the open source ecosystem through tutorials and classes. Spark and its libraries were a significant focus of the talks.
on Nov 1, 2014 in Apache Spark, Arun Swami, Big Data, Hadoop, Machine Learning, San Francisco-CA, Scala, Techcon
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