Mergermarket's Fintech M&A Webinar
West Monroe Partners to present during Mergermarket’s Fintech M&A Webinar on February 10, 2017
Date : February 10, 2017 Time : 02:00 PM EST

Join Gil Mermelstein and other industry experts for Mergermarket’s Fintech M&A live-streaming webinar as they discuss the opportunities and challenges tech companies, traditional banks, and "alternative capital" firms can expect to encounter in 2017.

Location:
New York
Click here to register now.
West Monroe Insights
Business Case Analysis for Water Utility Modernization
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All businesses depend on and impact freshwater resources, creating both strategic risks and opportunities.
Date : March 22, 2017 Time : 12:00 PM CST

To commemorate World Water Day 2017, West Monroe Partners will convene a diverse group of industry leaders to discuss the risks posed to businesses because of water scarcity, quality and flooding. 

Ken Siegman and John Stockamp present at the 23rd annual Acquire or Be Acquired Conference
Date : January 29, 2017
The banking industry continues to see dramatic changes, and succeeding in this marketplace requires a much different strategic growth plan.  At this year's Acquire or Be Acquired Conference, new sessions and discussion groups address the key issues affecting your bank's bottom line and offers strategic solutions for growing in today's economic conditions.  During this year's conference we focus on topics that range from exploring a merger to preparation for an acquisition, growing loans to capturing efficiencies, and managing capital to partnering with fintech companies.
Natural Language Generation Goes to Work
Date : January 24, 2017
Natural Language Generation (NLG) is a form of artificial intelligence (AI) which takes an input of data and produces a narrative similar to how a human would interpret the data. NLG technology can be very transformative when used in business situations, especially in industries that are heavily dependent on generating text summaries based on straightforward conclusions drawn from structured data and that lack the capital to support a large workforce.