This week, Dez Blanchfield, Strategist and Data Science Practitioner at Gara Guru, and Bob Hayes, Data Scientist and President of Business Over Broadway, debate the role of Clickers versus Coders in the Data Science industry. Is one role more critical than the other? What skills are required to be
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
For the first time in human experience, there’s the opportunity to transform a city by listening to all of its inhabitants, individually. That’s the mission of the Jakarta Smart City (JSC) project, and it’s a major challenge in a district of some 10 million residents.
If information is paramount, it becomes our collective responsibility to nurture, develop, secure and protect information. One should nurture and develop information so that it is well formed, mature and timely; and secure and protect information so that it is valued and guarded, not shared or
The latest executive report published by IBM Institute for Business Value puts the estimated cost of cyber crime to the global economy in a range of USD 375–575 billion per year. Reputational damage, which is hard to calculate, comes on top of all this. No industry and geography has remained
Perhaps one the single most significant changes to the analytics landscape in recent years had been the emergence of the data scientist. This role is continuing to evolve, with many organizations still in the process of establishing how best to incorporate this relatively new discipline into their
This is the first in a sequence of blogs that looks at how Planning Analytics and Decision Optimization can help organizations go from a plan to the right plan by leveraging optimization throughout the planning process.
The data lake can be considered the consolidation point for all of the data which is of value for use across different aspects of the enterprise. There is a significant range of the different types of potential data repositories that are likely to be part of a typical data lake.
Using IBM Counter Fraud Management (CFM), an insurer can improve the operational effectiveness of its fraud prevention program and drive impressive fraud savings. IBM Watson helps insurers detect, respond and stop fraud with the ability to tap unstructured data.
Many suggest that the insurance industry's operating models already include the cost of fraud, creating higher cost structures and premiums. By taking full advantage of the integration and advanced capabilities being offered by leading counter fraud solution providers, enterprise counter fraud
Listen to this podcast to learn how four IBM clients are using advanced analytics to dynamically segment clients by their behaviors, anticipate life and financial events, foresee client attrition, identify product opportunities and deliver tailored news and alerts. Jim Marous moderates the
Applying cognitive technologies that understand, reason, learn and interact can improve the way insurers do business. Hear IBM insurance experts Christian Bieck and Noel Garry discuss how insurers that are outperforming competitors are transforming their business, based on information from the