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2017 Mercer Talent Trends

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The Value and Validity of Machine Learning for Consumer Insights

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During the webinar, Doug shared his experience conducting his first machine learning study with our company. One of Doug's key points in the webinar was how pleased he was that the machine was able to find a mix of known and new insights. Doug stated that the combination of finding things he already knew and identifying new insights, "increases both [his] confidence in the validity but also the value" of machine learning. The known insights that the machine picked up on were reassuring, demonstrating to our client that the machine could correctly identify key themes related to snow removal. In turn, these confirmatory findings strengthened Doug's confidence in the new insights he was able to collect, because the machine had demonstrated its accuracy.


Top Ten Trends in Insurance 2017 Resource

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Insights featured Finance Transformation Business Services Capgemini Stay ahead of Cyber threats with Capgemini's Managed SOC people Contract Management: Protecting Your Contractual Assets in Brexit or other Challenges results Siemens Building Technologies leverages the Internet of Things to provide innovative analytics-based services for predictive maintenance, sustainability and energy management research Making the connection - how the internet of things engages consumers and benefits business applied innovation exchange Accelerate business growth at the right speed and scale, securely and sustainably with the Applied Innovation Exchange How the Applied Innovation Exchange makes a difference to Clients Services main services industries partners Global Technology Partners Discover our full list of partnerships with technology leaders. Capping IT Off For the latest in technology: we round up the latest trends on Capping IT Off. CTO Blog For the latest in innovation: keep your finger on the pulse with our CTO Blog Sustainability Blog Discover insights and experiences on sustainable practices for your business and beyond. Capping IT Off For the latest in technology: we round up the latest trends on Capping IT Off. CTO Blog For the latest in innovation: keep your finger on the pulse with our CTO Blog Sustainability Blog Discover insights and experiences on sustainable practices for your business and beyond.


Introducing Zipkin-Azure

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Today in Build 2017, we released Microsoft's contribution to the Open Source Community by extending Zipkin with the power of Application Insights (AppInsights) calling it "Zipkin-Azure". Zipkin is a tracing tool for distributed systems to log events related to each individual activity (also known as job, transaction, or trace, depending on the context) in a way that allows the path of the activity through the system to be reconstructed. It offers correlation across multiple services within a customer's application. With AppInsights integration, Zipkin now gains the ability to log data to an Application Insights store and to trace activities through multiple services including non-logging systems using impersonation. It provides application performance management features from AppInsights along with tracing capabilities provided by Zipkin.


5 Strategies for Converting Big Data into Actionable Insights

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The strategy to turn the raw data into actionable insights is to integrate and analyze data from all data sources to reach better and optimized business decisions. The word "big" in big data refers to the huge volume of data involved. Big data technologies aim at storing, analyzing, querying, and updating large chunks of data coming from different areas. It is important to turn this massive amount of data into actionable insights to obtain better decisions for companies. Actionable insights are created by analyzing processed data and drawing conclusions.