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...]
Featured Stories
DarwinAI Emerges from Stealth with Powerful Design, Optimization and Explainability Platform for Deep Learning
DarwinAI, a Waterloo, Canada startup creating next generation technologies for Artificial Intelligence development, announced it is emerging out of stealth with $3M in seed funding. The team’s Generative Synthesis platform leverages AI to reduce the complexity and guesswork in designing efficient, high performance deep neural networks for real world applications. [READ MORE...]
Trends in Entertainment Industry Push Enterprises Toward AI Tools
This is the second entry in a five-part guide series that explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post explores how trends in the media and entertainment industries are leading enterprises to increasingly adopt AI tools. [READ MORE...]
Rethinking Messaging for the Era of Microservices and Cloud
In this special guest feature Matteo Merli, Streamlio co-founder, discusses what’s needed from a modern solution for connecting data in the era of cloud and microservices - the same thing that’s always been demanded of messaging: ensuring performance, scalability, resiliency, elasticity and flexibility to support how data is processed and connected. What’s changed is the nature and scale of those demands in a world that’s grown significantly in both complexity and pace. [READ MORE...]
Featured Resource
Python: Unlocking the Power of Data Science & Machine Learning
Python stands out as the language best suited for all areas of the data science and machine learning framework. Designed as a flexible general purpose language, Python is widely used by programmers and easily learnt by statisticians. Download the new guide from ActiveState that provides a summary of Python’s attributes, as well as considerations for implementing the programming language to drive new insights and innovation from big data.
Industry Perspectives
Making Data More Affordable for AI Projects
In this special guest feature Xin Song, Co-founder and CEO of Bottos, points out that if AI is the engine that drives innovation in the next few years, then data is the fuel that powers AI. Unfortunately, both the cost and availability of data is a hurdle that many small to mid-size companies have a difficult time overcoming. [Read More...]
Data Democratization: A New Roadmap for Business in the 21st Century
In this special guest feature, Christian Anschuetz, Chief Digital Officer at UL, discusses his belief that data will “democratize” business decisions, leading to better decision-making, new business models and a vastly different business landscape. [Read More...]
Featured from insideHPC
- Supermicro Ai Supercomputer Sports 20 NVIDIA Tesla T4 Accelerators in 4USupermicro's new SuperServer 6049GP-TRT provides the superior performance required to accelerate the diverse applications of modern AI. "We see the combination of NVIDIA TensorRT and the new Turing architecture based T4 GPU Accelerator as the ideal combination for these new demanding and latency-sensitive workloads and are aggressively leveraging them in our GPU system product line." […]
News from insideHPC
- Supermicro Ai Supercomputer Sports 20 NVIDIA Tesla T4 Accelerators in 4U
- Cray XC50 Supercomputer coming to Institute for Basic Science in South Korea
- Can we use Machine Learning to Learn about Machines?
- Supercomputing More Fuel-Efficient Engines at GM
- Imagine HPC with the Power of the Cloud
- Video: Cloud-based-HPC Optimization of Manufacturing Processes
- Video: Energy Efficient Acceleration of RNNs using CGRA
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q3 2018
The team here at insideBIGDATA is deeply entrenched in the big data ecosystem of companies from around the globe. We’re in close contact with a great many 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...]
Field Report: DataWorks Summit 2018
In this field report I wanted to give you a sense for what the vendor ecosystem was saying at DataWorks Summit, their corporate message if you will. Each company had a somewhat different slant of course which aligned with their products and services, but there was also a lot of commonality. Most everyone had some tie into the industry's current buzz - AI, machine learning and deep learning. This was perfect for me as a practicing data scientist myself. Let's get started with some vendor snapshots ... [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...]
How Netflix Uses Big Data to Drive Success
Netflix has over 100 million subscribers and with that comes a wealth of data they can analyze to improve the user experience. Big data has helped Netflix massively in their mission to become the king of stream. Our friends over at FrameYourTV developed the compelling infographic below that highlights Netflix's use of big data, specifically interesting statistics, how Netflix gathers big data, and how Netflix uses big data. [Read More...]
