3 challenges facing insurers in data science implementation

Information Management Resources

Data mastery is a priority for carriers across business lines, but there are still roadblocks. Data science Data Scientist Chief Data Officer Data warehouses

How Data Science Experience improves accuracy for the insurance industry

IBM Big Data Hub

In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and multiple weather indicators can improve forecast accuracy

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MassMutual boosts U of Vermont data science with $5 million program

Information Management Resources

The initiative, which will kick off in 2019, continues the life insurer's strategy of engaging the academic community to build a data talent pipeline. Data science Data visualization Chief Data Officer Data Scientist Analytics MassMutual

Insurance CFOs seek larger digital role

Information Management Resources

Leaders of the finance organizations want to be leaders in developing data and digital strategy, according to Accenture survey. Data strategy Real-time data Data science Analytics Machine learning Artificial intelligence Accenture

Ping An casts a long digital shadow over Asia's insurers

Information Management Resources

The insurer's strategy has been to incubate tech businesses and then spin them off, while incorporating the technology in its main operations. Big data Data science Machine learning Data Scientist

MetLife joins MIT Media Lab, eyes faster adoption of emerging technologies

Information Management Resources

The insurer will leverage the university's research in the Internet of Things, data science and machine learning to help improve the life underwriting process. Data science Life insurance Wearable technology Machine learning Insurance technology Customer experience Social media Internet of things MetLife

Reltio Cloud – A Data Platform Perfect For Google Anthos


Also a multi-cloud strategy makes more sense for newer data-led enterprises that are permeating every industry sector. Companies must manage different types of data, from different sources and need different insights from various data sets. Anastasia Zamyshlyaeva , Reltio.

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Digital Enterprises: Built on Modern MDM


The third Modern Data Management annual summit (#DataDriven19) had great minds sharing their MDM success stories and assessing where MDM is headed. Modern enterprises put data at the heart of every decision to stay competitive. Of these, master data is the data in-charge!

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Data analysts are hot commodities in virtually every region, industry

Information Management Resources

From small, family-run businesses to big banks and insurance companies, jobs refining data and converting it into valuable insights now exist in almost every organization around the globe. Data science Data Scientist

MassMutual unit, iPipeline partner to distribute risk model

Information Management Resources

The life insurer’s LifeScore Labs division is ready to make its data tool available to other carriers in the space. Customer data Unstructured data Data modeling Data ownership Data integration Data visualization Data mining Data types Data discovery Big data Patient data Data strategy Data architecture Data science Life insurance MassMutual

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Allstate fighting consumer fraud with social media data

Information Management Resources

The insurer partners with California-based insurtech Carpe Data to further investigate incoming claims. Social media Predictive analytics Data mining Data science Insurtech Claims Allstate

Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

If you complete the full Fluvastatin prescription, then we’ll reduce your monthly healthcare insurance payment by 5%.”. Additionally, data-driven insights uncover new sources of revenue such as new products, services, markets, audiences, channels, partners, etc. Check out “ The New Normal: Big Data Business Model Disintermediation and Disruption ” for more details on business model disruption and customer disintermediation.

The Customer Journey Digital Transformation Workbook

Bill Schmarzo - Dell EMC

Figure 1: “Driving Business Strategies with Data Science: Big Data MBA” Because in our evolving world, successful digital transformation will be the difference whether a business survives or wilts in the modern economy. We sought to train our students – tomorrow’s business leaders – to embrace the “Big Data MBA” concepts in creating digital transformation-based business models. Digital Transformation is becoming a business mandate.

The 3% Edge: How Data Drives Success in Business and the Olympics

Bill Schmarzo - Dell EMC

The article discusses how Mr. Zok is bringing a Silicon Valley data scientist mentality to help America’s Olympic athletes more effectively leverage data and analytics to win Olympic medals. I wanted to drill into this “1% edge” to not only verify the number, but to further understand how the “1% edge” might apply to organizations trying to effectively leverage data and analytics to power their businesses (see “ Demystifying the Big Data Business Model Maturity Index ”).

Metromile: A FitBit for Your Car

John Battelle's Searchblog

But earlier this month I met with another perfect exemplar: Metromile , a company that is already upending industrial-age assumptions about what “insurance” should be.**. Friedberg realized that the lessons of Climate were applicable to consumer insurance, and Metromile was born.

#ModernDataMasters: Martin Squires, The Analysis Foundry


Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. What was your route into technology, data and analytics? In terms of data and analytics it all started when I sneezed and slipped a disc shaving would you believe?”.

The Third Modern Data Management Summit: Making Data Work!


The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. Ankur Gupta, Sr.

#ModernDataMasters: Michele Chambers, AWS


What was your route into technology, data and analytics? I loved solving puzzles – and my father encouraged me to challenge myself – but I didn’t have my first science class until we moved to the United States and I went to high-school. Kate Tickner, Reltio.

7 Reasons Why Businesses Should Adopt A Modern MDM Platform


A modern Master Data Management (MDM) Platform helps businesses manage data like leading digital companies, leveraging continuous data organization and recommended actions to measure and improve their operations. Ankur Gupta, Sr. Product Marketing Manager, Reltio.

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Data Secrets to A Successful Drug Launch


Using data, pharma companies can enhance value for patients along the entire lifecycle of a drug, from drug discovery to commercialization to end of exclusivity. Discovery Phase: Value Creation via Data. Commercialization Phase: Value Capture via Data. Ankur Gupta, Sr.

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Say Goodbye to Legacy MDM, Say Hello to Reltio to Power Connected Customer Experiences


It’s so exciting to be working with data innovators at Global 2000 companies with visionary leadership teams who are committed to winning in the experience economy. . Data Challenges Hold Companies Back from Thriving in the Experience Economy.

Machine Learning is Carving the Path toward Digital Transformation


Unlimited data plans fueled the entertainment industry’s shift to streaming media. Organizations that embrace machine learning’s potentials to unlock previously inaccessible data will be the winners in the age of digital transformation.

Arron Banks' firm and Leave.?EU face £135,000 fine over data misuse - live

The Guardian Data Protection

She says it’s revealed “the disrespect for the personal data of voters and prospective voters. 11.51am GMT Pow: “Lots of people are having personal data harvested about themselves that they’re probably quite unaware of.” She specifically asks about “inferred” data (when, for instance, Facebook surveils a users’ browsing and determines that they have an interest in, say, “homosexuality” ), and Denham suggests that the approach to that data may be “wrong in the law.”

What Kaggle taught us about predictive analytics


Last year, CGI’s data science team from Prague had the great honor of winning the Kaggle purchase prediction challenge sponsored by Allstate , competing against 1,500 teams worldwide, and I wanted to share some of our lessons learned. Data pre-processing is 70%-80% of the work.

Our Data Governance Is Broken. Let’s Reinvent It.

John Battelle's Searchblog

Sovrn , a company I still chair, has a similar mission, but with a serious data and tech focus. My current work is split between two projects: One has to do with data governance, the other political media. First, Data. Data Governance. Now, what is data?