horiz-W-blackF-WikibonPremium-Categories-BigData
Customer Journey to Systems of Intelligence George Gilbert will be elaborating on this topic in his 2016 research.
Customer Journey to Systems of Intelligence
George Gilbert will be elaborating on this topic in his 2016 and 2017 research.
 
Title Premise Solutions Insights Date
Big Data Prediction 2017
What’s up for big data in 2017? Think time-to-value, convergence, and business model innovation.
TBD 4Q16
The Search for Speed, Scale, and Simplicity in BD Development ML application development platforms that are simpler and feature lower latency than Hadoop are emerging. This report is first in a series that looks at developer options. TBD 4Q16
Reinventing Supply Chain to Exploit Big Data ERP and ML are about to make beautiful music together. This report will look at how and when, as well as detailing broader impacts on development and operations.  TBD 4Q16
IBM’s Cognitive Ideas for Developers and Apps A second in the series BD tools and evolving developers options. TBD 4Q16
The New Devops: How Data Scientists Collaborate with Developers To data scientists and app developers, analytic workflows proceed in a pipeline. Translating that pipeline vocabulary can help IT pro’s make better decisions about their ML infrastructure. TBD 1Q17
The New Devops: How Data Scientists and Developers Collaborate with Admins To data scientists and app developers, analytic workflows proceed in a pipeline. Admins ultimately have to maintain the pipeline’s operation. Translating that pipeline vocabulary can help IT pro’s better operate ML infrastructure. TBD 1Q17
2017-2027 Worldwide Big Data Market Forecast Wikibon’s fifth annual big data forecast. TBD 1Q17
2016 Big Data Market Shares This report complements our annual big data forecast. It details global market shares and discusses the strategies of market leaders. TBD 1Q17
The New Devops for IIoT Fog computing, integrating edge and cloud, has unique Devops requirements and workflows. The workflows can be described in a vendor-independent framework. TBD 1Q17
Weighing the Build vs. Buy Trade-Off for ML Apps Teradata and SAS have a long history of providing leading-edge ML tools and semi-custom apps. New players, like Accenture, are muscling in. This report attempts to find if there’s a rule of thumb to determine when each is appropriate. TBD 1Q17
Can ERP Vendors Learn New ML Tricks? SAP, Oracle, Infor, and others have a long legacy in business process applications.  These are very different from data-driven applications. This report will test how well these vendors can make the transition. TBD 2Q17
ML Ecosystem Apps: Ad-Tech as Design Pattern Ad-tech firms like Rocket Fuel operate big data apps at extreme scale. What lessons can developers learn from their approach? TBD 2Q17
Marketing Automation Reinvented to Exploit Big Data CRM for Systems of Record meant tracking: leads, calls, field service visits. CRM for Systems of Intelligence will mean scoring prospects, evaluating the productivity of spending across tactics, and automating mundane tasks to increase selling time. TBD 2Q17