insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning
With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency. [READ MORE...]
Featured Stories
Three Keys to Choosing a Data Center in the Age of AI
In this special guest feature, Steve Conner, Vice President of Solutions Engineering at Vantage Data Centers, discusses how AI is currently rewriting the rules of future computing. As AI becomes increasingly advanced, data centers must be able to adapt and scale to fit the needs of its clients. [READ MORE...]
“Above the Trend Line” – Your Industry Rumor Central for 10/29/2018
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 M&A activity, people movements, funding news, financial results, industry alignments, customer wins, 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...]
Why We Paired Open Source and Managed Services to Optimize Our Database
In this contributed article, Ben Wu of Peloton goes through his company's database/data strategy, deciding on open source NoSQL Apache Cassandra (why it made sense for them), overcoming problems with production systems, why managed databases fit into their future, and how he feels about the data stack moving forward. [READ MORE...]
Featured Resource
Reinventing the Retail Industry Through Machine and Deep Learning
Today, deep learning techniques are poised to disrupt the retail industry. As artificial neural networks become more and more efficient, and as graphics processing units get more and more powerful, so does their influence on retail. Download the new insideBIGDATA special report, courtesy of Dell and NIVIDA, to learn more about how machine and deep learning is revolutionizing the retail industry.
Industry Perspectives
Use of Natural Language Processing and AI Driving Big Data Innovation to New Levels
To really drive innovation to a whole new level we’re seeing a rise in the use of Natural Language Processing (NLP) and Artificial Intelligence (AI) to make finding and using quality data that much easier. Leading industry analyst firms have noted that Machine Learning, AI and NLP are quickly becoming table stakes for analytics. Unifi Software’s Sean Keenan explores how tools like these are changing the landscape of big data and driving innovation forward. [Read More...]
How Small Data Helps Understand Individuals in Real Time
In this special guest feature, Jeff McDowell, COO of Primal, discusses the importance of small data and big data analysis when providing timely and accurate AI recommendations based on interest compared to the stale irrelevant recommendations most online channels provide today. [Read More...]
Featured from insideHPC
- NVIDIA Powers New Performance Records on TOP500 ListToday NVIDIA showcased its HPC leadership in the TOP500 list of the world’s fastest supercomputers. The closely watched list shows a 48 percent jump in one year in the number of systems using NVIDIA GPU accelerators. The total climbed to 127 from 86 a year ago, and is three times greater than five years ago. […]
News from insideHPC
- HPC Veteran Charlie Wuischpard Joins Optical Startup Ayar Labs
- Video: Intel to Power Fastest Supercomputer in Academia at TACC
- Rescale Brings Cloud HPC to Academia
- NVIDIA Powers New Performance Records on TOP500 List
- Slidecast: BigDL Open Source Machine Learning Framework for Apache Spark
- Video Replay: HPC Inspires Plenary from SC18
- New Class of Intel Xeon Scalable Processors Break Through Performance Bottlenecks
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q4 2018
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies! [Read More...]
4 Major Ways in Which Big Data is Impacting Social Media Marketing
In this contributed article, content and brand strategist Nidhi Dave throws light on the application of big data on social media marketing, examining its current as well as future impact. She offers four major ways in which big data is impacting social media marketing [Read More...]
Field Report: TIBCO NOW 2018
I was pleased to be on hand for the 2018 edition of the TIBCO NOW "Innovation at the Edge" conference in Las Vegas on September 4-6. This was my 1st time covering the show for insideBIGDATA, and I was eager to get the pulse of the event because you can tell a lot about the state of a company by attending their global user conference. I wasn't disappointed! [Read More...]
Top Skills Data Scientists Need To Learn in 2018
Data scientists are in high demand, taking the number 1 spot in Glassdoor's Best Jobs in America list in 2016 and 2017, with 4,84 position available and boasting a median base salary of $110,000. According to Jim Webber, Chief Scientist at Neo4j, the following is a short-list of the most essential tech skills for data scientists to adopt this year. [Read More...]
The Future of Smart Cities
In this contributed article, freelance human Avery Phillips discusses the evolution of smart cities from the perspective of how urbanscapes will be run more efficiently through the collection of big data and the use of connected IoT devices. Hospitals will be better able to care for their patients and transportation will run more smoothly than ever. Even though we don’t know what the future holds, we can still look forward to a smarter tomorrow. [Read More...]
