Book Image

Quantum Computing and Blockchain in Business

By : Arunkumar Krishnakumar
Book Image

Quantum Computing and Blockchain in Business

By: Arunkumar Krishnakumar

Overview of this book

Are quantum computing and Blockchain on a collision course or will they be the most important trends of this decade to disrupt industries and life as we know it? Fintech veteran and venture capitalist Arunkumar Krishnakumar cuts through the hype to bring us a first-hand look into how quantum computing and Blockchain together are redefining industries, including fintech, healthcare, and research. Through a series of interviews with domain experts, he also explores these technologies’ potential to transform national and global governance and policies – from how elections are conducted and how smart cities can be designed and optimized for the environment, to what cyberwarfare enabled by quantum cryptography might look like. In doing so, he also highlights challenges that these technologies have to overcome to go mainstream. Quantum Computing and Blockchain in Business explores the potential changes that quantum computing and Blockchain might bring about in the real world. After expanding on the key concepts and techniques, such as applied cryptography, qubits, and digital annealing, that underpin quantum computing and Blockchain, the book dives into how major industries will be impacted by these technologies. Lastly, we consider how the two technologies may come together in a complimentary way.
Table of Contents (20 chapters)
5
Interview with Dr. Dave Snelling, Fujitsu Fellow
7
Interview with Dr. B. Rajathilagam, Head of AI Research, Amrita Vishwa Vidyapeetham
9
Interview with Max Henderson, Senior Data Scientist, Rigetti and QxBranch
11
Interview with Sam McArdle, Quantum Computing Researcher at the University of Oxford
14
Interview with Dinesh Nagarajan, Partner, IBM
18
Other Books You May Enjoy
19
Index

Social media in politics

As social media became mainstream, organizations have started to depend on it to understand the sentiment of their customers. AI algorithms that looked at Twitter data to understand any negative trends or reputational issues have been useful with the management of perception. Organizations using these tools have managed to be more proactive with their engagement models with their customers.

"A good reputation takes years to build and a second to destroy."

Warren Buffett

Organizations that intend to engage proactively with their customers will need to stay on top of social media sentiment toward their brand. It is critical to have engaging conversations to stay relevant in a fast-changing world of Millennials and Generation Z customers.

The 2016 American elections saw data analytics employed in an election campaign. The extent...