Blogs

Machine learning: The big draw at a big Beijing, China event

Machine learning: The big draw at a big Beijing, China event

December 12, 2016 | by Steve Moore, Senior Story Strategist, IBM
One thing that a recent event in Beijing, China confirmed is there’s no shortage of interest in machine learning for developers in that region. Take a look at snapshots of event highlights featuring rich content on artificial intelligence, cognitive capabilities, machine learning and more presented...

Information architecture: The key to governance, integration and automation

December 12, 2016 | by Elizabeth Koumpan, Executive Architect, IBM
Emerging technologies—3D printing, cloud computing, the Internet of Things, mobile computing, sensors, wearable devices and the like—are transforming the ways in which modern organizations manage and use data. But much of that data remains unused. Successfully capitalizing on information...
Can Master Data Management and entity analytics be self-service?

Can Master Data Management and entity analytics be self-service?

December 12, 2016 | by Jay Limburn, Senior Technical Staff Member and Offering Manager, IBM
Historically, Master Data Management (MDM) projects have focused on creating a single view of the truth that can be consumed by business processes. Learn more about how the evolving need to utilize MDM serves as catalyst for a new solution extension offering a managed data preparation and data...
Sales performance management and C-level goals

Sales performance management and C-level goals

December 9, 2016 | by Mark Donnolo, Founder and Managing Partner, SalesGlobe
Before diving into planning for sales compensation, get a fix on the company’s business goals and strategy. See why having a framework in place is critical when designing a sales strategy and compensation program.
Gauging your organization’s readiness to drive digital disruption

Gauging your organization’s readiness to drive digital disruption

December 9, 2016 | by James Kobielus, Big Data Evangelist, IBM
Businesses have come to expect that smart rivals wielding digital technologies will disrupt their competitive landscapes. How ready is your organization to be a digital disruptor? Take a look at detailed criteria for assessing your organization’s readiness and the strategic steps you can take to...
Gaining a digital transformation edge through cognitive technologies

Gaining a digital transformation edge through cognitive technologies

December 8, 2016 | by Susanne Hupfer, Senior Consultant, Thought Leadership, IBM
Cognitive technologies such as advanced analytics and artificial intelligence are emerging as vital tools for achieving digital transformation outcomes. Learn more about the role of cognitive technologies from early adopters in the recent IBM Cognitive Advantage report and how they can be used to...
Experimenting with Hadoop is now easier than ever before

Experimenting with Hadoop is now easier than ever before

Interview with Ayesha Zaka

December 7, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
Many forward-thinking organizations want to investigate how big data analytics helps them outthink and outperform the competition. However, many also are challenged with finding the right talent to run the operations, keep the data secure and figure out how to leverage the myriad tools at their...
The power to predict, transform and optimize business

The power to predict, transform and optimize business

December 6, 2016 | by Christine O'Connor, Writer and Content Strategist, IBM Information & Analytics Group
Organizations looking to transform their operations can turn to data science for an approach that offers the ability to predict events and behavior, prescribe actions, derive insights and make informed decisions. Learn more about how you can tap into the power of data science through predictive...
Big data and analytics trends in 2017: James Kobielus’s predictions

Big data and analytics trends in 2017: James Kobielus’s predictions

December 5, 2016 | by James Kobielus, Big Data Evangelist, IBM
IBM expert James Kobielus offers his annual predictions for the new year that’s right around the corner. See what trends will define big data and analytics in 2017 and beyond.
The business of monetization

The business of monetization

December 5, 2016 | by Inderpal Bhandari, Global Chief Data Officer, IBM
One of the chief data officer’s primary responsibilities is to support the company’s strategy for monetization. Learn how investing in essential technologies can help your team create a data strategy that aligns with your organization’s monetization strategy to empower the business as a whole.