Apoorv Kashyap

Head of Customer Value Advisory at Syntasa

Apoorv heads the Customer Value Advisory at Syntasa, passionately working with clients to infuse Artificial Intelligence technologies into the core of their business value streams. His background is in digital, data, and analytics, having served as a Practitioner for 20 years across the US, UK and EMEA. In recent years, Apoorv has consistently delivered over 10x of cumulative ROI from successfully guiding AI-centric digital transformations across clients such as Bombardier (Manufacturing), Citi Group (Capital Markets), Comcast and Virgin Media (Cable Broadband), Lloyds Banking and HSBC (Retail Banking), Telstra and Vodafone (Telco), and more.

Customer Engagement Strategies from the Trenches of Social Gaming

Customer engagement is becoming the linchpin in a digital brand's success. Now that brands have defined and built digital customer experiences, it's the customer engagement strategies that are allowing customers to stay engaged on the digital platforms.

Customer engagement is becoming the linchpin in a digital brand's success. Now that brands have defined and built digital customer experiences, it's the customer engagement strategies that are allowing customers to stay engaged on the digital platforms.

Towards a Next-Gen Data Lake Architecture

In order to generate ROI from our data lake investments, we need to successfully productionise multiple AI-powered programs within our data lake. That is, programs which produce a continuous stream of actionable insights based on the digital, enterprise, and third-party data being stored inside data lakes.

In order to generate ROI from our data lake investments, we need to successfully productionise multiple AI-powered programs within our data lake. That is, programs which produce a continuous stream of actionable insights based on the digital, enterprise, and third-party data being stored inside data lakes.

A CDO’s Strategy for Successful AI Implementation

Although there is no single standard when it comes to implementation of AI, we see the successful ones going through these three phases.

Although there is no single standard when it comes to implementation of AI, we see the successful ones going through these three phases.

How to Define KPIs for Your Strategic Digital Analytics Goals

In order to manage and succeed in your digital analytics program, it's important to identify a handful of KPIs that reflect...

In order to manage and succeed in your digital analytics program, it's important to identify a handful of KPIs that reflect...

The Rise of Customer 1080

Just having a digital 360 profile of a customer will not suffice for the hyper-personalisation that is required in todayʼs competitive landscape.

Just having a digital 360 profile of a customer will not suffice for the hyper-personalisation that is required in todayʼs competitive landscape.

Definitive Guide to Implementing Artificial Intelligence in Digital 4.0

Implementing AI involves iteratively finding the AI techniques that are best suited for a use case and available datasets, and then finding a way to...

Implementing AI involves iteratively finding the AI techniques that are best suited for a use case and available datasets, and then finding a way to...

Top 3 Graveyards for Machine Learning Programs

Itʼs when ML projects go to the second phase of its existence, where we see the majority of ML programs fizzle out of steam.

Itʼs when ML projects go to the second phase of its existence, where we see the majority of ML programs fizzle out of steam.

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