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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

To add perspective, since I joined Havmor, the company has grown significantly, but not the workforce, having reduced by 30% compare to our numbers in 2018, thanks to digital innovation and transformation. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business?

IT 92
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3 reasons why every real-time application needs AI

CIO Business Intelligence

It’s now critical to ensure that all of an enterprise’s real-time apps will be artificial-intelligence capable, while every AI app is capable of real-time learning. These apps accept some temporal gap between what’s happening in the moment and the data driving an app’s AI. Today’s winning chatbots satisfy customers.

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Is 2022 the Year for Finance Transformation

Jet Global

As businesses struggle to keep up with the pace of change, finance teams have an opportunity to play a leading role in developing and maintaining a positive trajectory for their businesses. To operate strategically, finance teams must step beyond the realm of data and into the world of insights.

Finance 52
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How sport made CIO 100 winner Joanna Drake a better technology leader

CIO Business Intelligence

As she climbed the ranks, taking on more senior technology roles at Diageo, Accenture, Yahoo, Betfair, BBC and Skyscanner before joining The Hut Group in 2018, she realised that her sports background could shape her leadership style. Such uncertainty means Drake’s focus is now on efficiency. “[My

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Player retention is a strategic imperative for Casinos

BizAcuity

In this medium post , Dan Schoenbaum had proposed a simple player retention framework covering 3 steps – unifying data across acquisition and retention, behavioral analysis for user loyalty, and social features to boost network effect. Unified Data for a single view of player/users. Framework – The Deming Cycle PDCA.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20
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Fact-based Decision-making

Peter James Thomas

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49