Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
Two paradoxes of information technology are: data has no value if you can’t access it, and it’s a liability if the wrong people access it. Company leaders don’t think they need data governance until these paradoxes hit them hard.
According to IBM CEO Ginni Rometty, data is the world’s new natural
Kick off 2018 by exploring machine learning and what it can do for your business. The authors of Machine Learning for Dummies – Judith Hurwitz, and Daniel Kirsch – are here to help you. In this episode, Judith, Daniel and Al discuss the state of machine learning today, how to use it to advance your
Earlier this year, IBM held the “Fast Track Your Data — Live from New York” event for thousands of our clients. Our mission: to help business and technology leaders better understand the critical importance that data and analytics play in an organization’s digital transformation. Technology
Five years ago, people were talking about it. Today, it’s completely mainstream. Learn how to use cloud to enhance your business in part two of our podcast with IBM Fellow Sam Lightstone. Sam discusses how data is moved, stored, and automated in the cloud. Also, learn the steps to invention and how
Do you know how often you are using the cloud every single day? In part one of our discussion with IBM Fellow Sam Lightstone, learn about cloud computing and why it is increasingly important in our data-driven world. Also, learn alternatives to loading private data to the cloud, data movement, and
Michael Springgay, IBM STSM, Db2 Data Warehouse Development, and Rajani Maindiratta, IBM Senior Manager, Db2 Data Warehouse on Cloud Development for Load, share their experiences moving data for customers big and small. What are the options for data movement and what is the impact of cloud?
Big data isn’t just getting bigger. It’s getting more valuable. As companies work to unlock more value from their data, one of the biggest challenges to address is disconnected data silos. Big companies don’t have one data lake, they have data lakes, ponds and pools.
How do you change the culture and the concepts of governance within your enterprise from being that as a roadblock to really being an enabler or even an accelerant? Learn more about unified governance approaches from speakers like Seth Dobrin, VP and Chief Data Officer, IBM Analytics, IBM, at Fast
Analyze your way to business success. Learn more about data analytics and visualization from speakers like Marc Altshuller, General Manager, IBM Business Analytics, at Fast Track Your Data - live from Munich or join online June 22, 2017. Register now.
Imagine what you could build if you could leverage all the data that you couldn’t access before? Learn about hybrid data management from speakers like Nancy Hensley, Director, Growth & Strategy, IBM Analytics, at Fast Track Your Data - live from Munich or join online June 22, 2017. Register
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
Quite often, we see that the need for data security and governance makes some organizations hesitant about migrating to the cloud. This is perfectly understandable given the types of data gathered and used by businesses today, the regulations they must adhere to on both a local and global level,