In this episode of the Making Data Simple Podcast, Seth Dobrin, vice president and chief data officer for IBM Analytics, and Al Martin continue their conversation about data in 2018. Find out the six steps to make your enterprise data driven, how machine learning and AI will impact your business
What's next in the world of data and analytics in 2018? In part one of Al Martin's discussion with Seth Dobrin, Vice President and Chief Data Officer for IBM Analytics, explore the strategies and people your company needs to disrupt and succeed in the year ahead. Do you or your team members need
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.
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
If you work in the field of sales commissions, you’re likely aware of ASC 606, the five-step revenue recognition model and timelines. The basic premise on which both ASC 606 and IFRS 15 have been formulated is that an organization can recognize revenue from a customer contract only when the
As happens so often, IBM is quietly laying the groundwork for the future. A recent step toward that future is TJBot, an unassuming, do-it-yourself cardboard robot that opens a window into what AI researchers are calling “embodied cognition.
Allocating IT budget is a tricky business. Companies need to make choices and manage investment tradeoffs. However, recent Aberdeen research suggests that foundational activities to protect, oversee and manage the data environment through a unified approach to data governance can produce enticing
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.
Today’s most successful companies think differently about data governance. Recent Aberdeen research suggests that top-performing companies are those that create a more holistic approach to data governance, incorporating the right technologies, processes, skill sets and internal capabilities.
Organizations are collecting terabytes of data, so it’s not surprising that organizations are scrambling to identify a data management solution that fits their unique environment. The freedom of choosing the right data source to fit an organization’s data storage strategy is the key to robust data