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Technology | Big Data and Analytics

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Data Analytics Game
1,925
How can we use machine learning in the insurance industry? Machine Learning could change the dynamics of the insurance industry sector. As an essential tool for insurers, it could help in improving underwriting, pricing policies and detecting fraud.
Data Analysis
868
Data on a customer’s financial well-being, purchase behaviour, family status etc. that’s such a powerful source is not still put to its fullest use by many of the financial services giants.
framework
238
Decision paralysis in terms of “what to do with the data?” is a major reason for the lack of experimentation in with data initiatives. It is like sitting and waiting on the side lines, while your competition is making the most of it. A bigger...
AI
1,831
The idea that machine intelligence can automate marketing functions isn’t new. What has changed is the manner in which AI and other “intelligent” robots are being deployed by marketers. Machine intelligence is complementing business intelligence in...
Mobile first
1,622

Sep 18, 2017

Mobile first to AI first : The New Approach

Santosh Kumar Head – Fintech innovation

In last couple of years, there had been a huge push for digital across financial services. Banks needed to re-imagine their products and services keeping customers at the centre of design, i.e. adopting a customer centric approach to design and...
Streamlining Transition
510

Aug 25, 2017

Streamlining Transition: How agile frameworks can enhance core system transformation

Nick Sarkisian Associate Vice President, Digital & Analytics, Business Analytics services

Today, property and casualty insurers are struggling with significant market headwinds. Firms must manage several complex scenarios, such as new and existing regulations and increasing operating cost ratios. Additionally, they must also look at...
Healthcare
1,082
The Blog talks about emerging technologies enabling various stakeholders to improve value to the customer, how Digitization in Healthcare could contribute in saving many lives and betterment of lifestyle. It also talks about the potential threat of...
Quantum Computing
734
Classical computers are extraordinarily powerful and will continue to advance and support everything we do in business and society. But there are many problems that will never be penetrated by a classical computer. To create knowledge from much...
Wind, Courage, and Bandwidth
1,297

Jul 28, 2017

Wind, Courage, and Bandwidth

Jordi Neves Chief Digital Officer

In order to keep the Volvo Ocean Race as fair as possible, all communication land at Race Control and the crew will have no direct connectivity with the outside world. Beyond that, all boats are required to carry the same amount of computer...
Top Healthcare Trends for 2016
1,089

Apr 21, 2016

Top Healthcare Trends for 2016

Gopiram Ramachandran Deputy General Manager

Three major trends continue to drive the health care industry in 2016 – Consumerism, Cost Reduction and Increased Value.The need of the hour is to closely examine the cause for these trends.
Adobe
466

Sep 18, 2018

HCL Technologies and Adobe Partner to Drive Digital Transformation Through Experience Design

Jaco Van Eeden Executive Vice President – Digital Consulting Practice

Digital transformation is a requirement and not an option in today’s competitive landscape. To stay ahead, it’s imperative to have a digital transformation strategy. Organizations have to opt for experience design to adjust to the evolving needs of...
Hybrid
719

Dec 08, 2016

Hybrid Architecture: exploring capacities and frameworks

Nagaraj Sastry AVP and Solutions Leader for Data and Analytics, Digital & Analytics

Big Data is clearly a priority for adoption, but despite positive POCs, organizations are concerned about certain possible impediments which can be addressed by hybrid architecture. Learn about the different layers which work together to create this...
Microsoft BI Solutions for Analytical Data Modeling
1,195
Breakout chit-chat Amit (BI Tech Lead): We have a large Multi-Dimensional Cube (MDM) based BI solution. With the advent of tabular models, should we convert our MDM cube to tabular analytical models?
FinTech
483
Below are the top 10 trends to keep an eye on, that will uphold the FinTech for next few years.
Big Data
1,039
Insurance Industry is replete with Data and Big Data Analytics helps insurers determine and foresee the risks based on the Data garnered across departments and from a wide spectrum of sources viz., customer Interactions and Social media, Government...
Harnessing data analytics
889

Sep 16, 2016

Harnessing data analytics to enhance customer experience and reduce churn

Anil Ganjoo Corporate Vice President, Telecom, Media & Entertainment

This blog underlines how CSPs can use analytics tools to glean actionable insights on subscriber behavior and engagement, for personalizing products and services, and thereby, converting customers into brand ambassadors
Transforming Customer Experience
218
Great customer experience, speed, and accuracy are the current needs of today’s next-gen enterprises. The generic “one-size-fits-all” approach no longer works as a response for the modern customer. In the volatile, uncertain, complex and ambiguous (...

Technological Innovations: Changing Landscape of Clinical Research
Nidhi Bajpai - GROUP MANAGER | November 23, 2017
866 Views

The life sciences industry is in a state of flux. Traditional clinical trial methods have made room for modern techniques that leverage technologies such as mHealth, AI, and machine learning.


The Data Analytics Game: How to Predict Fraudulent Claims in the Insurance Industry Using Machine Learning?
Rajkumar Ramanathen - Business Analyst | November 13, 2017
1925 Views

How can we use machine learning in the insurance industry? Machine Learning could change the dynamics of the insurance industry sector. As an essential tool for insurers, it could help in improving underwriting, pricing policies and detecting fraud.


The power of data and analytics
Venkatakrishnan Ramachandran - DEPUTY GENERAL MANAGER | November 8, 2017
868 Views

Data on a customer’s financial well-being, purchase behaviour, family status etc. that’s such a powerful source is not still put to its fullest use by many of the financial services giants.