Blogs

Karan Sachdeva
Sales Leader Big Data Analytics APAC, IBM

Karan is the Sales Leader for Big Data Analytics, APAC for IBM. His current mission is helping customers unlock insight from their data using IBM Big Data Platform. He has worked with his clients across banking, telecommunications, manufacturing, life sciences and government organisations to unlock the value of big data analytics. Before joining IBM he had worked for Cloudera, MapR and Informatica.

Begin your cognitive enterprise journey at DataWorks Summit Sydney

Begin your cognitive enterprise journey at DataWorks Summit Sydney

August 31, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
The power of machine learning, data science and big data is no longer considered a hype or fad. It’s a reality and it’s impacting the bottom lines of businesses.
Cyber Security Powered by AI and Machine Learning

Cyber security powered by AI and machine learning

July 20, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
The latest executive report published by IBM Institute for Business Value puts the estimated cost of cyber crime to the global economy in a range of USD 375–575 billion per year. Reputational damage, which is hard to calculate, comes on top of all this. No industry and geography has remained...
Incorporating machine learning in the data lake for robust business results

Incorporating machine learning in the data lake for robust business results

March 28, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Building a data lake is one of the stepping stones towards data monetization use cases and many other advance revenue generating and competitive edge use cases. What are the building blocks of a “cognitive trusted data lake” enabled by machine learning and data science?

5 key attributes of effective data monetization strategy

February 6, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
In cognitive computing era, new revenue generation stream has emerged with data at center of the modern digital business model. One of the key capabilities cognitive computing enables for an organization is the ability to generate additional revenue streams by using data effectively. In the big...
Public sector: Hadoop, Spark and the 360-degree view of citizens

Public sector: Hadoop, Spark and the 360-degree view of citizens

December 19, 2016 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
To serve citizens effectively and efficiently, public entities can draw from the private sector’s 360-degree view of the customer and apply analytics, big data, Hadoop, machine learning and Spark to create a single or 360-degree view of the citizen. See how this methodology can empower public...
Dynamic duo: Big data and design thinking

Dynamic duo: Big data and design thinking

November 9, 2016 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Big data and design thinking share some common core principles for creating highly connected, meaningful business and customer user experiences. See why organizations worldwide are realizing the magic of combining big data with design thinking to generate value for powerful business use cases.
A big data–enabled modern recommendation engine for retail banking

A big data–enabled modern recommendation engine for retail banking

October 19, 2016 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Fintech products and innovative banking business models are creating a disruption upheaval in the global banking industry. Discover how retail banking can redefine business and operating models by offering innovative customer propositions through implementation of a big data–enabled recommendation...
Building a big data center of excellence

Building a big data center of excellence

September 6, 2016 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Many organizations can capitalize on big data solutions and technologies to make use of expanded volumes of data for enhancing the critical decisions that drive successful business outcomes. And yet, a number of these enterprises can be inhibited from moving big data initiatives forward for a...