Strategy Archives | Page 2 of 4

Unlocking Value from Your Data Through Syntasa’s AI Platform

August 26, 2019

It’s not easy to find the right platform that can handle a variety of data, to aggregate and organize it in a manner that is usable.

Tools to Help You Collaborate with Your Data Science Team

August 20, 2019

By Charmee Patel

Putting AI/ML models into production is a team effort. Multiple individuals are involved and it takes a great deal of planning and teamwork…

The Power of Personalized Recommendation Engines

August 15, 2019

By Michael Finn

Data-driven personalized recommendations are directly impactful for a company’s bottom line: they increase conversions and…

6 Practical Ways AI Can Improve Your Digital Marketing Strategy

June 28, 2019

By Michael Finn

Artificial intelligence is increasingly becoming table stakes for today’s marketing teams. Not only is the adoption of AI increasing; it’s having a positive…

The Death of Retail and How Big Data Can Help Revive Them

June 7, 2019

By David Searle

As digital experiences take over and consumer behavior changes, survival for traditional retail stores hinges on finding a way to compete with…

Why You Need a Cloud-Scale Data + AI Solution

May 24, 2019

By Michael Finn

As leading companies look to leverage behavioral data (also known as clickstream data) for their marketing and operations efforts, EDPs will inevitably fall short.

How Behavioral Data + AI Can Transform Your Marketing

May 1, 2019

By Michael Finn

In order to truly understand your customers and transform your marketing campaigns for optimal conversion, you’ll need to incorporate…

Customer Engagement Strategies from the Trenches of Social Gaming

April 29, 2019

By Apoorv Kashyap

Now that brands have defined and built digital customer experiences, it’s time to think about customer engagement strategies which will…

Towards a Next-Gen Data Lake Architecture

April 9, 2019

By Apoorv Kashyap

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

April 8, 2019

By Apoorv Kashyap

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

Category: Strategy