Sunday, October 4, 2020

Learning as Moat

While the world wonders on the out sized valuations of retail digital business, when the broad economy is in trouble due to the pandemic, there is a little known factor that makes them more powerful to defend themselves from competition. What is this Moat?

Moat is a deep, wide ditch surrounding a castle, fort, or town, typically filled with water and intended as a defense against attack.

Traditional businesses have been valued on financial parameters such as revenue, profitability, free cash flow, leverage etc. While these measure the business, they are always derivatives of the business attributes. One such is learning.

Let us ‘learn’ this with an example. Take a digital native business such as Amazon. While its Prime customer base , shopping experience, logistics are all well documented, what perhaps is not so well documented is its ‘learning as a MOAT’.

With millions of transactions and user behavior logged and analysed, it has learnt over years and decade on user behavior, both good and bad.

Lets take the bad first. A fake listing, a merchant fraud, a customer fraud are all behaviors that cause real financial loss on a daily basis and cause havoc on a business that works on thin margins. Amazon’s years of learnings on how to ‘detect’a bad user behavior and ‘prevent’bad user behaviors helps avoid those nasty costs. While a competitor can under-price themselves funded by VC money, what they cannot replicate are these learnings. Inability to control bad customer behavior is enough to put them out of business. Just ask credit card firms that are poor at handling customer fraud.

The recommendation engines to cross-sell have been fine tuned over years by variations such as seasons/regions/customer segments and many others that a competitor just cannot copy by poaching a few employees. No wonder China is blocking algorithm/model sale on Tiktok to the US owners.

The MOAT is in the data/learnings/algorithms that got finetuned over years and years. None of this is repeatable and there may be very few other businesses that have similar moats. While AWS may have funded these for Amazon and Ads may have funded these for Google, these are very very hard for others to replicate. Same logic goes for the chinese digital giants. Millions of customers have enriched these firms with their behavior and learnings thereof.

While the world is critiquing whether driver-less cars are a fad or fiction, the algorithmic learning is deciding winners and losers in multiple traditional businesses! 

Sunday, July 12, 2020

Predictability to Acumen

The past decades have focused on automating to bring predictable outcomes. To compete effectively today, that is not enough.
Automation of ‘Smartening’
The intent+ability to learn from every action/data point, the lowering costs of storage/computing, open source code libraries, variability of costs due to cloud, global skill pool are resulting in businesses attempting to get smarter with every action/data point and related learning. Platforms enable the collective behavior of customers,suppliers,stakeholders be captured, analysed and abstracted.
Variability of costs allow for quick and cheap pivoting, creating and experimenting new business models on the fly with low failure costs. In this backdrop, mere automation and its associated predictability are not enough to compete.
‘Smartening’ also needs to be automated along with the process. It cannot be an after-thought.
Experimentation vs Agile
Experimenting is no longer confined to the R&D labs or small corners of the organisation. When businesses such as Booking.com run about 25,000 experiments a year to continuously fine tune/improve, A/B testing has become more powerful than just agile processes. A competitor with agile processes may not be able to compete with Booking.com’s personalisation/1000s of enhancements that add up to a significant competitive advantage.
Sacrilege
Process owners guard the legacy with great vigor. Even suggesting a change was considered ‘Sacrilege’. Not any more. When a pandemic makes decades of old practices/cost structures/habits irrelevant, protecting the legacy at all costs may be too costly.
Self-critique is more important than hubris, when yesterday’s rock stars quickly become today’s overheads.
In summary, getting smarter with every action/data point, experimentation as a way of life and ability to re-think everything are bigger competitive differentiators than just automating the past.

Sunday, May 24, 2020

While many are sleeping

As most of the world population is worrying and sleeping, some silent moves are changing the world forever. It may not be fair but it sure is real.
  1. In 2019, richest 1% of the world owned 44% and the richest 10% owned 83% of the global wealth. As virus mutates in waves, it will surely take time to come back to normalcy. During this depression/slump/tough time, productive asset ownership will keep changing hands for those who are ready.
2. As the challenge of making ends meet gets higher, finding laptops/broadband for kids homeschooling is not in everyone’s reach. Another critical wealth building driver — Skill building takes back seat. While most are facing this, some are leveraging online courses/podcasts/communities to acquire skills that can be exported globally to a world that is becoming more comfortable with remote work.
3. The populations that already had high mortgage/student loan/credit card/personal loan burden before the virus, the additional strain on finances due to virus will move them a couple of notches lower in the wealth pyramid that may change the equation to 90–10 or worse.
4. As startups flounder due to virus, the risk takers now are forced to pivot and discard mediocre ideas/business models. The most inventive , win.
5. What was bare essential/nice to have/luxury before pandemic is not the same now. Consumption patterns/preferences may change making some industries less relevant. Habit changing/making that may take decades is now forced upon and new habits are formed in weeks.
Those making digital goods are growing the fastest during pandemic and that will make the legacy industries to re-look at building capital intensive businesses.
Irrespective of the final virus impact, the global order changes and some are leveraging it , while other are just impacted. Not fair but real.

Saturday, April 4, 2020

Faith vs Truth ( in tough times!)

During storms, people would like to hold on to something strong to stay stable and weather the storm. That something varies for different people. It could be preparedness, faith, religion ….

when something completely unexpected comes long ( like a personal tragedy, grave sickness or a pandemic), one may not be prepared. People then turn to religion/faith/science/rationality and so on. when the event is unexplainable , one may turn to relegion and faith. Since faith is not absolute but graded ( and is determined by mental condition) it tends to be fragile when bad things happen. ( E.g. why is this happening to me? Why God isn’t helping?).

Since faiths come from religions ( most of ) which demand blind faith and do not encourage doubt or questioning, the faith becomes fragile and the person becomes fearful/doubtful and vulnerable. Many look down upon those who question or doubt as 'non-believer' and ostrasize.

While those with blind faith may be able to weather the storm, those without absolute faith, waver and falter.

Compared to faith, truth is a different animal altogether. Absolute truth destroys fear and doubt. Ancient Indian philosophies encourage and infact insist on Mimansa ( consideration, thought , discussion) and Tarka ( debate) as paths to finding the truth. While a master or text may initiate someone to the truth, debate and reasoning is encouraged to self experience the truth so it stays absolute . Truth and knowledge set one free and get rid of fear/doubt and help one become mentally strong to weather the storm. With the help of reasoning, it explains the world and its happenings to help one be unwavering and strong.

In tough times, truth makes one strong compared to a fragile faith.

Sunday, January 19, 2020

The Popular and the Right

What is popular is not necessarily right. Why?

In any area, popular is determined by the past, herdish nature,FOLO( fear of losing out) and common denominator. Going against the popular is risky and uncertain. Most are lazy to determine the right path and find it easy to follow.

In everyday life, the car that sells the most or the movie that most see 'must' be the best(!). with Instagram likes , WhatsApp forwards, established routines and traditions, most of the decisions have already been made for us. It is super convenient to let the popular bear the burden of deciding.

What if it’s not right for you? What if the popular choice is outdated and mediocre? Why is there a Pareto’s principle if everything that’s popular must be important or right?

In a world full of uncertainty and past is certainly not a determinant of the future, how will the popular help you?

Make your own path and find your own truth . Atleast you won’t be part of the fat ‘ middle’!

AI searches for human intelligence , to beat

  With all the hype about AI taking over humans and humans worried about their precious skills/role in this world risk getting diminished, l...