Visualization Best Practices for Business Analysts
In this contributed article, freelance human Avery Phillips discusses what you need to know about ensuring visualization is an asset and not a point of confusion for an organization. What visualization does is clarify what would often otherwise be complicated and murky given the way that large amounts of data can be hard to classify. [READ MORE...]
Featured Stories
MathWorks Expands Deep Learning Capabilities in Release 2018b of the MATLAB and Simulink Product Families
MathWorks introduced Release 2018b of MATLAB and Simulink. The release contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families. The new Deep Learning Toolbox, which replaces Neural Network Toolbox, provides engineers and scientists with a framework for designing and implementing deep neural networks. [READ MORE...]
The 2018 State of Data Management
Profisee, a global leading modern data management technology company, released the results of its first annual data management report, "The 2018 State of Data Management." The survey, conducted between January and April of 2018, aims to provide insights into data management, strategy, challenges, trends, benchmarks and 'how others are doing it'. It is Profisee's hope that data management professionals across the global data management community can use this information to help drive new initiatives. [READ MORE...]
How Generative AI Can Augment Creative Output, Reshape the Future of Storytelling and Content Production
In this special guest feature Debajyoti (Deb) Ray, Founder/CEO of RivetAI, discusses how AI is impacting the film/entertainment industry. Disruptive AI technologies are significantly boosting creative productivity, and it’s not just happening in the movie business: the $450 billion content production industry is ripe for the picking, too. [READ MORE...]
Featured Resource
Four Sources of Machine Learning Bias
As a company that specializes in training AI systems, we know only too well that AI systems do precisely what they are taught to do. Models are only as good as their mathematical construction and the data they are trained on. Algorithms that are biased will end up doing things that reflect that bias.
Industry Perspectives
Automation Promises to Pull Big Data Out of Its “Dial-Up” Phase
In this special guest feature Ramesh Menon, Head of Products at Infoworks, discusses how big data is in a predicament, with great promise, and with plenty of innovation at work. But much of it is behind the scenes, and much of that is still surprisingly limited. In a way, big data is trying to break out of the “for developers only” mold the same way ARPANET—the precursor to the web—had to evolve to appeal to more than just computer scientists. [Read More...]
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...]
Featured from insideHPC
- SciNet pushes Scientific Boundaries on Climate ResearchIn this video, W. Richard Peltier and Daniel Gruner describes how SciNet in Canada is powering climate research. To support vital scientific research in fields as diverse as astrophysics, biomedicine and climate science, SciNet beefed up its high-performance computing resources with a Lenovo ThinkSystem supercomputer 10 times more powerful than its predecessor. "The 4.6 Petaflop […]
News from insideHPC
- Data Science meets CFD: FieldView Analytics in Engineering
- Job of the Week: Software Engineer for Perception Infrastructure at Argo AI
- SciNet pushes Scientific Boundaries on Climate Research
- Video: ExaAM – Transforming Additive Manufacturing through Exascale Simulation
- Debugging for Success and Accelerated Platform Bring-Up
- Supermicro Ai Supercomputer Sports 20 NVIDIA Tesla T4 Accelerators in 4U
- Cray XC50 Supercomputer coming to Institute for Basic Science in South Korea
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...]
