Weigh up chess in mind and inescapably it will bring up how strategic planning is key to (grand)masterly play. It is a game where thinking deep ahead for perceptive execution is critical for a winning strategy. It is played out as much in business environs as on a 64-square board.
Chess is a combat platform where mental agility for a calm aggression (I don’t mean it in an oxymoronic way), and a clear line of attack come into serious play with disruptive thinking. Cutting into the competitor’s turf while strengthening one’s own defences for a crisp finish is central to the game.
In chess, a pawn can make deep inroads into a rival’s territory and become a Queen, stunning the opponent King into submission. Just as in business where new-generation innovators crush legacy market leaders and where Market Provenness trumps hype!
![as a Service](https://joslinv.wordpress.com/wp-content/uploads/2019/11/as-a-service.png?w=500)
XaaS – From AI to the Cloud and Digital Execution for Convergence
With the idea of providing everything as a service (XaaS) all pervasive in the on-demand world of business, chess too has moved into the cloud with engines and programmes hosted there for purposes of analytics and playing, such as the one here: http://fritz.chessbase.com/?lang=en
In fact, chess had embraced automation and digital environs long before Artificial Intelligence (AI) became the chant that it is today.
It was in 1997 when Deep Blue, the IBM-designed chess computing platform, defeated the then reigning world champion, Garry Kasparov, in what was not a huge shock given that the human brain cannot process positions for counter-play as fast as machines can.
Surpassing Humans in Complex Cognitive Tasks
Much later, Kasparov acknowledged in his book, Deep Thinking, that “Deep Blue was conclusive proof that machines could surpass humans in complex cognitive tasks that we had long assumed were unique to our developed brains.”
He, however, offered a contradiction of sorts by going on to state that: “The human brain is an unmatched analogy engine, finding useful patterns to leverage our lifetime of experience to make decisions.”
He was perhaps driving home the message of Blended AI, where automation and a human touch combine to deliver a rich Customer Experience (CX).”
As-a-Service Offerings
While such offerings as Software as a Service (SaaS) and Contact Centre as a Service (CCaaS) are going mainstream there are some deliveries that may have inherent vulnerabilities and complexities.
For instance, API-based Communications Platform as a Service (CPaaS) offerings may call for application of a robust endpoint security mechanism, with its openness prone to breaches. Just as in chess where a full-throttle offensive may weaken the king-side defences. It may even negate simplicity with the need for system programming as opposed to the ease of use with applications that require no more than configuration.
- I am not even talking about why CPaaS vendors did not figure in the Magic Quadrant ranking this year.
Deeper Machine Learning Evolutions
Back to the chess analogy, if the Deep Blue represented the Machine vs Man contest that captured the world’s attention, even years before that there were chess software programmes that gave players the ability to analyse moves and even compete against them on computers.
- During my active chess-playing days I had used those tools for deep analytical purposes involving gambits and defences to get a grip on opening variations.
While Deep Blue has since been retired, with the Smithsonian Museum in Washington DC as its home, it has paved the way for deeper machine learning evolutions, including knowledge base systems.
Yet, without a well-conceived and executed strategy, whether in chess or in business, winning will prove elusive.
G Joslin Vethakumar