Disruptive Big Data, Analytics, and AI Strategy
Location: Insurance Disrupted Conference
Ajay spoke about "Building a Big Data / Analytics / AI Team, Culture & Transformation Roadmap" at the Insurance Innovation Conference. Attendees included startups, VCs, Insurance Commissioners, and Analytics professionals.
Ajay spoke about "Building a Big Data / Analytics / AI Team, Culture & Transformation Roadmap" at the Insurance Innovation Conference. Attendees included startups, VCs, Insurance Commissioners, and Analytics professionals.
Data & Analytics: Transformational Journey for Largest Primary Care Clinic in Central Texas
Location: IEEE ComSoc/SP Austin Jointed with EMBS/Computer Austin Chapters
The Medical Home department at Austin Regional Clinic (ARC) embarked on a transformational update involving people, process, technology, and data. With a new and improved Data Warehouse (DWH) and an Analytics Platform, a trained staff with updated skills, ARC has laid a strong foundation for improving clinical, operational, and financial outcomes.
In this talk, Ajay described how ARC partnered with Analytics Advisory Group to accelerate their data & analytics journey.
The Medical Home department at Austin Regional Clinic (ARC) embarked on a transformational update involving people, process, technology, and data. With a new and improved Data Warehouse (DWH) and an Analytics Platform, a trained staff with updated skills, ARC has laid a strong foundation for improving clinical, operational, and financial outcomes.
In this talk, Ajay described how ARC partnered with Analytics Advisory Group to accelerate their data & analytics journey.
IoT and Analytics - Industry Use Cases
Location: Global Big Data Conference, Austin, TX
With the emerging growth of IoT, the amount of data and the speed at which the data is being generated from sensors are both growing very fast. Additionally, the need to process that data and derive valuable insights in quick time is growing as well. This talk focused on scenarios, architecture, data instrumentation, and issues faced in deriving value through analytics by examining various use cases in different industries.
With the emerging growth of IoT, the amount of data and the speed at which the data is being generated from sensors are both growing very fast. Additionally, the need to process that data and derive valuable insights in quick time is growing as well. This talk focused on scenarios, architecture, data instrumentation, and issues faced in deriving value through analytics by examining various use cases in different industries.
How to Increase Cross and Up Sell of your Products and Services
Location: Red McCombs School of Business, University of Texas at Austin
This blog looks at different ways customer analytics is used by Insurers.Predictive analytics have been used in actuarial services in the insurance industry for many years now. However, given the nature of the insurance business and the market, it is now used in various other functions in the insurance industry – to enhance customer experience and satisfaction, for sales and marketing, to improve operational efficiencies and to reduce costs. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
This blog looks at different ways customer analytics is used by Insurers.Predictive analytics have been used in actuarial services in the insurance industry for many years now. However, given the nature of the insurance business and the market, it is now used in various other functions in the insurance industry – to enhance customer experience and satisfaction, for sales and marketing, to improve operational efficiencies and to reduce costs. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
Career in Analytics and Big Data
Location: Global Big Data Conference, Austin, TX
This blog looks at different ways customer analytics is used by Insurers.Predictive analytics have been used in actuarial services in the insurance industry for many years now. However, given the nature of the insurance business and the market, it is now used in various other functions in the insurance industry – to enhance customer experience and satisfaction, for sales and marketing, to improve operational efficiencies and to reduce costs. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
This blog looks at different ways customer analytics is used by Insurers.Predictive analytics have been used in actuarial services in the insurance industry for many years now. However, given the nature of the insurance business and the market, it is now used in various other functions in the insurance industry – to enhance customer experience and satisfaction, for sales and marketing, to improve operational efficiencies and to reduce costs. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
Analytics & Big Data - Value Generation & Industry Parallels for Education
Location: CIMA Conference, Niagara Falls, Canada
This blog looks at different ways customer analytics is used by Insurers.Predictive analytics have been used in actuarial services in the insurance industry for many years now. However, given the nature of the insurance business and the market, it is now used in various other functions in the insurance industry – to enhance customer experience and satisfaction, for sales and marketing, to improve operational efficiencies and to reduce costs. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
This blog looks at different ways customer analytics is used by Insurers.Predictive analytics have been used in actuarial services in the insurance industry for many years now. However, given the nature of the insurance business and the market, it is now used in various other functions in the insurance industry – to enhance customer experience and satisfaction, for sales and marketing, to improve operational efficiencies and to reduce costs. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
What is the BIG DEAL about BIG DATA
Location: NJIT Hackathon, New Jersey
Presented Big Data Definitions and how it brings value to customers. Also, discussed what skills are needed to pursue a career in Analytics and Big Data.
Presented Big Data Definitions and how it brings value to customers. Also, discussed what skills are needed to pursue a career in Analytics and Big Data.
Rapid Analytics
Location: Meetup, Austin
Talked about how to rapidly triage tweets for a telecom company using R and provide business value to many departments on a daily or on-demand basis.
Talked about how to rapidly triage tweets for a telecom company using R and provide business value to many departments on a daily or on-demand basis.
How Insurers Leverage Value out of Big Data
Location: Global Big Data Conference, Santa Clara, CA
Presented on how Insurers are leveraging Big Data today.
Presented on how Insurers are leveraging Big Data today.
Big Data for Executives
Location: Global Big Data Conference, Washington DC
Discussed Big Data implementation experiences, across various industries, and what Executives should care about beyond the hype.
Discussed Big Data implementation experiences, across various industries, and what Executives should care about beyond the hype.
Big Data Tsunami - Hype vs. Fact
Location: TIECON Southwest, Dallas, TX
As a panelist, contributed to discussions around hype in Big Data, and how entrepreneurs can exploit Big Data and create value.
As a panelist, contributed to discussions around hype in Big Data, and how entrepreneurs can exploit Big Data and create value.
Big Data Center of Excellence
Location: Insurance and Technology Roundtable Series, Boston, MA
This senior-level Executive Roundtable event focused on finding out what it takes to create a Big Data “center of excellence.” Topics included real-world use cases about how leading insurers are adopting outcome-based Big Data frameworks that ensure linkage to enabled actions, actionable insight and data, and how a portfolio approach can help companies optimize the tools, types and mix of analytic applications that deliver actionable insights for competitive advantage.
This senior-level Executive Roundtable event focused on finding out what it takes to create a Big Data “center of excellence.” Topics included real-world use cases about how leading insurers are adopting outcome-based Big Data frameworks that ensure linkage to enabled actions, actionable insight and data, and how a portfolio approach can help companies optimize the tools, types and mix of analytic applications that deliver actionable insights for competitive advantage.
Best Practices for Putting Analytics to Work
Location: CFO Roundtable, Nashville, TN
The panel discussion on analytics was called “Overcoming ‘Operator Error’: Best Practices for Putting Analytics to Work.” The session focuses on the ways to implement or enhance the use of analytics within an insurance organization.
The panel discussion on analytics was called “Overcoming ‘Operator Error’: Best Practices for Putting Analytics to Work.” The session focuses on the ways to implement or enhance the use of analytics within an insurance organization.
Profit Growth and Business Potential
Location: The Indus Entrepreneurs (TIE), Austin, TX
Moderated a panel of entrepreneur, practitioner, and venture capitalist on business growth and profit potential from Analytics and Big Data. The panel addressed practical strategies that entrepreneurs can use in developing their own data service businesses. Also, presented on real world use cases from the insurance industry.
Moderated a panel of entrepreneur, practitioner, and venture capitalist on business growth and profit potential from Analytics and Big Data. The panel addressed practical strategies that entrepreneurs can use in developing their own data service businesses. Also, presented on real world use cases from the insurance industry.
ArticlesIs a Career in Analytics
Right for You? Website: INFORM Magazine The massive demand for analytical resources has caused many students and professionals to look at analytics and big data as a career. This article describes a cost-effective, analytical approach, along with practical tips to try and iteratively answer these questions.
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SpeakerAjay spoke about "Building a Big Data / Analytics / AI Team, Culture & Transformation Roadmap" at the Insurance Innovation Conference. Attendees included startups, VCs, Insurance Commissioners, and Analytics professionals.
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InterviewsIdeal Analytics Curriculum at the Graduate Level
Website: KDnuggets Ajay was interviewed and discussed the differences between analytics and Big Data, the evolution of expectations from data science, important qualities desired in data scientists, ideal curriculum for Analytics focused programs, advice and more.
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