Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.
Machine learning concerns in Silicon Valley tend to be different from those elsewhere in the U.S. — and outside of the U.S. So, here are five tips for those hearing about machine learning efforts in Silicon Valley, but who work elsewhere. These suggestions consider where machine learning and data
If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.
IBM Analytics is coming to Berlin and New Orleans this October. Here are five traits that make the conference unique. Can't make it? Join the Facebook livestream on October 10 or watch the replay to hear the opening session keynotes from Joel Shapiro and Marc Altshuller.
For the first time in human experience, there’s the opportunity to transform a city by listening to all of its inhabitants, individually. That’s the mission of the Jakarta Smart City (JSC) project, and it’s a major challenge in a district of some 10 million residents.
There’s no doubt data science and machine learning are main areas of focus for enterprises to better their business. However, talking about data science and machine learning isn’t the same as making it a reality.
Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”. And “It’s all about the data”. So why do we send up probes, sensors or satellites — for the data?
IBM Analytics University is a learning event where you can join over 75 workshops, sessions, labs, in-depth discussions, and deep-dive product demonstrations. This is not merely a “show-and-tell” event. IBM Analytics University will have you working hands-on with our products to test and experience
Data, insights, cloud, agile, analytics. These are all terms that get thrown around a lot in technology these days. But the truth is that unless you can combine some or all of these concepts, the bottom line benefit to your business will likely not as great as you may expect.
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