It’s no surprise: most companies working with stream data today say they are planning to make changes to drive greater value. Advancements in machine learning (ML) and very-high-speed data persistence for real-time analytics are reshaping strategies and architectures. In addition, 88 percent of
Lunewave's Hao Xin writes, "As a kid, I dreamed about the flying cars and jetpacks that would hopefully define our future lives. Up until recently, the technology that could make them even remotely possible was both expensive and difficult to manufacture. Now, thanks to 3-D printing and machine
Advances such as blockchain technology are steadily gaining traction both in terms of investment and adoption. Well-informed IT professionals are starting to deploy these new technologies to establish a more connected, knowledgeable and secure business. Here are some ways blockchain technology and
Think 2018 in Las Vegas was a record breaking event, where tens of thousands of attendees gathered to talk with one another and share their experiences. Visionary speakers and experts shared their solutions for some of the world’s most daunting challenges.
In today’s energy industry, one of the key priorities is finding new ways to cost efficiently keep up with insatiable demands for power, while also delivering renewable energy. You must be able to predict when events will occur and make the first move. Being first to respond to customer or market
This is the fourth in a series of blogs on analytics and the cloud. Read our introduction to the series. This blog concerns itself with the rise of open source software and how it is used for a whole host of analytical purposes. However, as will be seen in this blog, there are significant gaps in
Although NoSQL database technology has been around for a long time (before SQL actually), not until the advent of Web 2.0, when companies such as Google and Amazon began using the technology, did NoSQL’s popularity really take off. Market Research Media forecasts NoSQL Market to be $3.4 Billion by
This is the second in a series of blogs on analytics and the cloud. We will consider the rise of the Internet of Things (IoT), analytics used on that data and how the cloud can be utilized to drive value out of instrumenting a very wide range of ‘things’.
As a business technology professional, you need to manage your company’s information resources 24x7 while juggling concurrent projects and staying up to speed on changes in the technology and in your chosen field. You’re stretched thin but continue to seek out professional learning opportunities
This is the first in a sequence of blogs that takes a peek at what is driving analytics onto the cloud, what are the challenges that will need to be overcome over the next 5 years and how they will be tackled.
Internet of Things data, devices and technologies are evolving into a core platform that is expected to impact business flexibility and more. Take a look at some key comprehensive best practices for Internet of Things–enabled application development that can put speed and agility into your business
Today’s businesses need a culture of collaboration that empowers knowledge workers to glean cognitive insights from data that help transform and modernize operations. See how cloud-based platforms and solutions enable data scientists and other experts to exploit artificial intelligence, machine
In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big