The goal for this Guide sponsored by Dell Technologies is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in higher education: student success and workforce readiness, simplified systems and processes, and accelerate research.
insideAI News Guide to Big Data for Finance
The goal for this insideAI News technology guide, sponsored by Dell Technologies, is to provide direction for enterprise thought leaders on ways of leveraging big `data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.
Walmart Innovates at the Retail Edge with AI
Through the combination of world-class software from Malong Technologies and a powerful processing platform Dell Technologies and NVIDIA, Walmart is able to deliver groundbreaking AI acceleration at the store edge.
insideHPC Special Report Riding the Wave of Machine Learning & Deep Learning
AI, machine learning and deep learning are transforming the entire world of technology, but these technologies are only making headway now due to the proliferation of data. Companies first steps should include the “Five-step enterprise AI strategy”. To learn more about riding the wave of machine learning and deep learning download this insideHPC special report.
insideAI News Guide to Healthcare & Life Sciences
This technology guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries. To learn more download this insideAI News guide.
Leveraging big data to gain a competitive advantage across a range of industries
In their efforts to extract value from big data, organizations around the world are turning to the Hadoop big data collection, management and analysis platform. Hadoop offers two important services: store any kind of data from any source, inexpensively and at very large scale, and perform sophisticated analysis of that data easily and quickly. To learn more about Hadoop and big data download this white paper.
Dell Hadoop solutions for Big Data
Big Data is the new oil. Data growth is exploding, and analyzing large datasets—Big Data —has become the next frontier for innovation, competition, and productivity. Download this white paper to learn more.
insideAI News Guide to Retail
Few industries have greater access to data around consumers, products, and channels than the retail industry. Data coupled with insights are at the heart of what drives this business. It’s a logical consequence then that retail is the vertical market that adopted big data and technologies like Hadoop earlier than many other industries. Retail started with diverse transactional data but is now much more sophisticated in the way technology is being applied toward gaining competitive advantage. Learn more by downloading this guide.
insideAI News Guide to Scientific Research
This technology guide is geared toward scientific researchers working at universities and other research institutions (e.g. NASA, JPL, NIH, etc.) who may benefit from learning more about how big data is meaningfully transformative in the way it can be applied to the data collection and analysis part of their projects. Further, we’ll illustrate how Dell big data technology solutions powered by Intel are actively helping scientists who are focused on their data, on their models and on their research results. Learn more by downloading this guide.
insideAI News Guide to Big Data for Manufacturing
Manufacturing concerns consistently have sought ways to reduce waste and variability in their production processes to dramatically improve product quality and yield (e.g. the amount of output per unit of input). Further, these companies need a granular approach toward recognizing and correcting manufacturing process flaws. Big data technology provides just such an approach and many hightier manufacturers possess a significant degree of interest and motivation in adopting the big data technology stack.