3 Reasons Why Machine Learning Should Matter to B2C Businesses Too
In this contributing article, Pratik Dholakiya, Co-Founder, CMO of E2M, provides 3 reasons why machine learning should matter to business-to-consumer (B2C) businesses too. There is a lot of talk about how machine learning, AI, and big data can be used to help B2B companies improve their efforts. While there’s no disputing this, there is a large misconception that B2C businesses cannot be helped in the same way. This is, of course, quite false. [READ MORE...]
Featured Stories
Kogniz Announces Launch of AICam - AI Surveillance Camera
Kogniz, a California-based technology company, announced the introduction of the company’s first product, AICam. The technology offers businesses fully-autonomous surveillance cameras with artificial intelligence that identify people and threats in real-time, using video-based facial recognition and object detection. [READ MORE...]
Big Data Analytics Receive a “Spark” In the Arm
In this special guest feature, Anand Venugopal, head of StreamAnalytix at Impetus Technologies, discusses real-time streaming analytics applications and how companies can use Apache Spark for data processing and analytics functionality. Real-time data and analytics processes are the central nervous system of today’s enterprise, which makes it no surprise that the global revenue in the business intelligence (BI) and analytics software market is forecast to reach $22.8 billion by the end of 2020. [READ MORE...]
Developing a Deeper Understanding of Apache Kafka Architecture Part 2: Write and Read Scalability
In this contributed article, Paul Brebner, Tech Evangelist at Instaclustr provides Part 2 of his two-part series on Apache Kafka. In Par 1 we gained an understanding of the main Kafka components and how Kafka consumers work. Now, we’ll see how these contribute to the ability of Kafka to provide extreme scalability for streaming write and read workloads. [READ MORE...]
Featured Resource
The Enterprise AI Promise: Path to Value
This interview survey from SAS explores enterprise readiness for artificial intelligence (AI). Respondents came from across EMEA and from a number of industries and sectors. Their views on enterprise AI and their organizations’ levels of readiness were diverse. Download the report, courtesy of SAS, that explores how enterprise AI can make companies more profitable and efficient, as well as study results that shows enterprise readiness to accept and adopt AI.
Industry Perspectives
How Big Data and Behavior Prediction are Shaping Automotive Dealerships
In this special guest feature, Johannes Gnauck, CEO and Co-Founder of automotiveMastermind, discusses how big data and behavior prediction are shaping automotive dealerships. Through the use of big data and behavioral analytics, it's possible to precisely target who is ready to buy and create personalized, micro-marketing campaigns designed to increase the probability of completing a sale. [Read More...]
Hybrid GIS Architectures: The Best of Both Worlds
In this special guest feature, Anthony Calamito, Chief Geospatial Officer at Boundless, an open GIS provider, discusses hybrid architectures (proprietary + open source software) for geographic information systems (GIS). As open source becomes more and more popular, enterprises are often perplexed by how to incorporate it into their existing systems, and this piece aims to demystify that process. [Read More...]
Featured from insideHPC
- Students: Sign up now for ISC STEM Student Day in FrankfurtRegistration for the ISC STEM Student Day program is now open. As part of the ISC 2018 conference, the full-day program is free of charge and takes place June 27 in Frankfurt, Germany. "We have created a program to welcome science, technology, engineering, and mathematics (STEM) students into the world of HPC, demonstrate how technical […]
News from insideHPC
- Fujitsu Upgrades RAIDEN at RIKEN Center for Advanced Intelligence Project
- Why UIUC Built HPC Application Containers for NVIDIA GPU Cloud
- Video: HPC Use for Earthquake Research
- Students: Sign up now for ISC STEM Student Day in Frankfurt
- Intel Open Sources nGraph Deep Neural Network model for Multiple Devices
- JUWELS Supercomputer in Germany to be based on Modular Supercomputing
- Universities step up to Cloud Bursting
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...]
