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Insurance Nexus USA 2017

#artificialintelligence

The ABC's of Insurance – Advanced Analytics, Business Transformation and Customer Centricity take center stage: analytics is just analytics without business use cases and real ROI comes from people, processes and results-driven performance. Extract all of the vital details necessary to turn your analytics dreams in to commercial wins for your business CXO's, Business Heads and Data Analytics Experts stand united: data scientists and business analysts can no longer stand alone in the fight to take your business from zero to hero. Join the only event bringing all levels of the business together to overhaul your internal workings to deliver the 21st century insurer Build New Foundations that Incorporate Insurtech and Analytics in Your Business: marry up new technology and analytics strategies and hear discussions on how to make a coherent systems plan including insight on Telemetry Data, Text Mining, Deep Linguistic Parsing, Workplace Analytics, AI & Machine Learning, Blockchain, Visualization Tools, Digital, Automation Tools, IoT and much more Results-Driven Analytics, not just Analytics for Analytics' sake: figure out your business goals and work backwards to find the best way to apply analytics to create real results using analytics in your operations, pricing, underwriting, claims, fraud teams and across all parts of the business 2 Keynote Sessions Leading over 40 Expert Speakers: hear from C-Level innovators giving a holistic view on the future of the insurance industry in two keynote sessions and dig deeper in to the day to day practicalities around change management and analytics integration being felt across your organization to understand how to steer your entire company forward The ABC's of Insurance – Advanced Analytics, Business Transformation and Customer Centricity take center stage: analytics is just analytics without business use cases and real ROI comes from people, processes and results-driven performance. CXO's, Business Heads and Data Analytics Experts stand united: data scientists and business analysts can no longer stand alone in the fight to take your business from zero to hero. Results-Driven Analytics, not just Analytics for Analytics' sake: figure out your business goals and work backwards to find the best way to apply analytics to create real results using analytics in your operations, pricing, underwriting, claims, fraud teams and across all parts of the business


Top 10 Business Analytics Tools Used by Companies Today

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From SLM (Service Life-Cycle Management) to SCM (Supply Chain Management) and ERP (Enterprise Resource Planning) to CRM (Customer Relationship Management), the volume of data that these cloud applications generate today is overwhelming, and it is accelerating at a phenomenal rate. To help organizations extract actionable insights from the data they generate, recognized technology companies and startups around the world are creating business analysis tools and techniques that deliver seamless analytics solutions. Packed with powerful features, today's state-of-the-art analytical tools for business facilitate efficient data collection, analysis, and presentation in real-time, empowering enterprises to identify trends/patterns in vast datasets and create new business analytics models. The tools used by business analysts include a variety of application software that captures quantitative and qualitative data from different business systems and incorporates it into a repository. That way, analysts can review and analyze the data to enable smarter decision-making. These software applications for business analytics provide organizations with a holistic overview of key insights that improve efficiency, productivity, and profitability.


Fundamentals of Prescriptive Analytics - DATAVERSITY

@machinelearnbot

Prescriptive Analytics seeks to find the best course of action, based on past records, for the future. In a way, Prescriptive Analytics combines elements from both Descriptive Analytics and Predictive Analytics to arrive at actual solutions. The increased preoccupation with everything "data" was a natural outcome of the mainstreaming of the theory of probability, which had hitherto remained behind the closed doors of advanced statistics.


4 types of social media analytics explained

@machinelearnbot

Depending on the business objectives, social media analytics can take four different forms, namely, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.


Analytics: What Has Changed and What Has Not?

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So have the titles of analytics professionals and conferences on analytics. With the Big Data adjective, analytics is being embraced by more and more organizations and being embedded in the decision-making processes not only at operational levels but also at strategic ones. Yes, the technological landscape for data analytics has changed rapidly, vastly for better. To configure a data analytics infrastructure today, one has a lot more options than it was a decade or two ago. Machine learning and AI are further bringing about renewed hopes in automated analytics especially with respect to financial advisory practices, regulatory compliance, and fraud prevention.