Big Data Asia 2017 - Singapore, Oct. 30/31
Now more than ever, our world needs Data Heroes to guide us through ever-changing circumstances. With the rise of Deep Learning, AI, IoT, and Digital Transformation, all organizations in every industry are going through a disruptive change. Big Data Asia offers you the knowledge, skills and tools that you need to master the data universe and achieve greater success now and beyond. Whether you’re an end user, tech provider, corporate executive, or a data scientist, Big Data Asia is where you want to be this upcoming October. [READ MORE...]
Featured Stories
The Importance of Vectorization Resurfaces
Vectorization offers potential speedups in codes with significant array-based computations—speedups that amplify the improved performance obtained through higher-level, parallel computations using threads and distributed execution on clusters. Key features for vectorization include tunable array sizes to reflect various processor cache and instruction capabilities and stride-1 accesses within inner loops. [READ MORE...]
How Big Data and AI Are Transforming How We Buy Cars
In this contributed article, John Price, CEO of Vast, explores how big data coupled with the methods of artificial intelligence (AI) have transformed how we buy cars. Big data and AI aren’t just changing the sales process for consumers. They’re changing it for salespeople, too, giving each salesperson an “intelligent assistant” in their pocket. [READ MORE...]
“Above the Trend Line” – Your Industry Rumor Central for 9/18/2017
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. [READ MORE...]
Featured Resource
insideBIGDATA Guide to Artificial Intelligence & Deep Learning
In this guide we explain the difference between AI, machine learning and deep learning, and include highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.
Industry Perspectives
The Key to Machine Learning to Defend Against Web Application Attacks
In this special guest feature, Misha Govshteyn, Co-Founder and SVP of Products at Alert Logic, offers some practical insights to successfully leverage machine learning to improve web application attack defenses. [Read More...]
Companies Pigeonhole Productivity and Profitability Potential with Machine Learning
In this special guest feature, Yvonne Cook, General Manager at DataRobot UK, takes a look at how companies are applying machine learning technology to give themselves a substantial leap forward in their quest for digital transformation. [Read More...]
Featured from insideHPC
- SC17 Session Preview: Dr. Pradeep Dubey on AI & The Virtuous Cycle of ComputeDeep Learning was recently scaled to obtain 15PF performance on the Cori supercomputer at NERSC. Cori Phase II features over 9600 KNL processors. It can significantly impact how we do computing and what computing can do for us. In this talk, I will discuss some of the application-level opportunities and system-level challenges that lie at […]
News from insideHPC
- SC17 Session Preview: Dr. Pradeep Dubey on AI & The Virtuous Cycle of Compute
- Supercomputing Jet Noise for a Quieter World
- Video: Will HPC Move to the Cloud?
- Hiring? Sign up for the SC17 Student/Post Doc Job Fair
- PSSC Labs to Power Biosoft Devices for Genetics Research
- Intel awards Paderborn University a Hybrid Cluster with Arria 10 FPGAs
- KISTI in South Korea orders up a Cray CS500 Supercomputer
Editor’s Choice
Big Data or Small Data? The Correct Answer is Both
In this special guest feature, Dr. Ricardo Baeza-Yates, CTO at NTENT, discusses how it’s not enough to weigh data decisions on the descriptor of big versus small alone - a number of other things must be considered. [Read More...]
Interview: Michael Stonebraker, Adjunct Professor, MIT Computer Science and AI Laboratory (CSAIL)
The following is a discussion with Michael Stonebraker, Adjunct Professor, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL); ACM 2014 Turing Award Recipient. The Association of Computing Machinery (ACM) just concluded a celebration of 50 years of the ACM A.M. Turing Award (commonly known as the “Nobel Prize of computing”) with a two-day conference in San Francisco. The conference brought together some of the brightest minds in computing to explore how computing has evolved and where the field is headed. [Read More...]
The Difference Between Data Science and Data Analytics
In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business. [Read More...]
Interview: Anusua Trivedi, Data Scientist on Microsoft's Advanced Data Science & Strategic Initiatives Team
In this podcast interview, I caught up with Anusua Trivedi, a Data Scientist on Microsoft’s ADS team, to get her take on the upward trajectory of AI and deep learning that we're seeing in the industry today. [Read More...]
Big Data Industry Predictions for 2017
Wow! What a year 2016 has been. The big data industry has significant inertia moving into 2017. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride. Enjoy! [Read More...]
