It’s been a year of sustained growth for IBM Data magazine. In addition to launching a substantially improved website this past month and inaugurating our LinkedIn discussion group over the summer, we’ve significantly deepened our roster of contributors. Every week, we present fresh perspectives from a wide range of industry experts. Bringing new voices to the magazine is one of my core jobs, and favorite activities, as editor in chief. What I stress with them is that we want their …
Expertise can become a sustainable business resource if you bake it into your operational best practices for data management and analytics. Best practices are reusable patterns for guiding your quest for business results. The more complex your quest, the more urgently you need crisp patterns to help knowledge workers sift through everything for a sliver of useful intelligence. In IBM Data magazine the week of November 17, 2014, we have fresh discussions on access, search, and management patterns for unlocking …
Organizations must manage their data with industrial discipline and repeatability.
New frontiers sometimes emerge when we have new tools for exploring established frontiers.
As cognitive systems such as Watson emulate modes of thought, will they extend innate, human cognition?
What we have for you this week in IBM Data magazine is a significantly improved experience.
Analysts, researchers, data scientists, and other professionals face new challenges in the era of big data. But big data and analytics are opening up a lot of tremendous opportunities. In IBM Data magazine the week of October 20, 2014, new contributor Suresh Sane starts his two-part series on the past, present, and future of query-optimization best practices in the era of big data. Jennifer Shin provides the third of her four-part series on the US Food and Drug Administration’s open-data …
Employing ensemble-based crowdsourcing can confidently identify best-fit models
Robust data strategies are those that can surmount constraints, obstacles, disasters, and distractions without losing focus on their core objectives.
Smarter businesses know they must flex their data strategies to align with new opportunities and challenges.
Calculating data’s value depends on what type of data you’re focusing on.
Data is fluid with its own streams, lakes, and other facilities for holding, distributing, and filtering the precious resource.