Want to Build an AI Product? Data is Key
In this contributed article, Mahe Bayireddi, CEO and co-founder of Phenom People, explains the different waves of AI (both current and future) and to help readers understand the importance of labeled data. Further, In order for artificial intelligence to truly reach goal-based AI in the future, we need entrepreneurs, innovators, and disruptors to continue to build AI-driven products. [READ MORE...]
Featured Stories
Interview: Dr. Bhushan Desam, Director, Global AI Business at Lenovo
I recently caught up with Dr. Bhushan Desam, AI global business leader for Lenovo’s Data Center Group to discuss how the digital transformation of business isn’t truly possible without incorporating machine learning. Digital transformation is underway. As the C-suite demands better insights from data, enterprises will be tasked to make data-driven decisions based on those insights. [READ MORE...]
The Evolution of Data Lakes
In this special guest feature, Glenn Graney, Director – Industrial & High Tech for QAD, suggests that manufacturers should be planning for all enterprise data sets to be part of the greater data lake. The transition to a data lake emphasizes flexible access to analysis tools and is less centered on data preparation. By definition, the data lake will be made up of a variety of data sources and the accessibility requirements and effort will only be defined at the time of the query. [READ MORE...]
Hortonworks Data Platform 3.0 Enables Containerization and Deep Learning Workloads
Hortonworks, Inc.® (NASDAQ: HDP), a leading provider of global data management solutions, today announced Hortonworks Data Platform (HDP) 3.0, which delivers significant new enterprise features including containerization for faster and easier deployment of applications, and increased developer productivity. The new version of HDP enables customers to more quickly, reliably and securely get value from their data at scale to drive business transformation. [READ MORE...]
Featured Resource
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing
There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Overall, one thing is clear—organizations that are utilizing these technologies now are gaining value. Download the new TDWI Best Practices Report, courtesy of SAS, to learn more about the latest innovations in advanced analytics.
Industry Perspectives
Increasing Analytic Project Success
In this special guest feature, Erik Ottem, Director of Product Marketing, Data Center Systems at Western Digital, discusses how to build a better data lake, equipped with elements such as scaling measures, object storage adapters and ultimately enough performance to handle large analytic workloads. [Read More...]
Data Science: Why Retail Will Reap the Biggest Rewards
In this special guest feature, Sarah Kampman, VP of Product at Square Root, discusses why retail is positioned to reap the biggest benefits of data analytics today. Sarah shares why machine learning and AI may be the secret weapon to solving for the the challenge of operating hundreds -- even thousands -- of disparate store locations, and how the approaches can be used to drive store performance, increase alignment and impact decision making at every level of a retail org. [Read More...]
Featured from insideHPC
- NVIDIA Releases Code for Accelerated Machine LearningToday NVIDIA made a number of announcements centered around Machine Learning software at the Computer Vision and Pattern Recognition Conference in Salt Lake City. "NVIDIA is kicking off the conference by demonstrating an early release of Apex, an open-source PyTorch extension that helps users maximize deep learning training performance on NVIDIA Volta GPUs. Inspired by […]
News from insideHPC
- Hyperion Research’s Steve Conway Adds COO Title
- Lenovo Moves Liquid Cooling Forward with Neptune
- NVIDIA Releases Code for Accelerated Machine Learning
- Cray Rolls Out Scalable Flash Storage Solution for Lustre Workloads
- Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity
- Virtualizing AI & HPC Workloads with vSphere
- FlyElephant and Squadex team up for expansion in AI and HPC services
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q2 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 for publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by they 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...]
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...]
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...]
