Superhuman Innovation by Chris Duffey [Book Summary – Review]

Along with history, some major inventions by man have reformed the globe the way it is now. In the last decades of the 1700s, the First Industrial Revolution redesigned our aspect of fabrics and progressed to coal and steam engines. Afterwise, the Second Industrial Revolution arrived and brought assembly lines, mass production, Television, and radio. Latest times, we’ve seen the Third Industrial Revolution with the appearance of the internet.

Nowadays, we’re on the edge of what few people are naming the Fourth Industrial Revolution: the advance of artificial intelligence. Nevertheless, the notion might not really fulfill the effect that AI has on mankind. In 2015, research was published by consulting company Mckinsey specified that different developments in AI are progressing five doubles than the techs in the Industrial Revolution of the 1800s. Above this, such devices are quickly being employed in all approaches of the world.

In this summary, you’ll see a few dramatic methods in which AI influenced businesses in the globe and the manner in which your firm can deploy AI to earn a rival benefit. You’ll be informed, as well, with the writer’s SUPER model – a manual to the methods through which AI allows discovery through Speed, Understanding, Performance, Experimentation, and Results.

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Chapter 1 – AI’s place in the globe is developing, and its power is huge.

Have a moment to consider the part which artificial intelligence has in your routine life. Every time you go to Siri to know how the climate is, see a YouTube video with computerized inscriptions or send an email reply that Gmail has recommended, you’re dealing with AI.

You can see plenty of various applications for AI, but we’ve just shown a small part of its power. AI is meant to be an even larger segment of our routine lives with the internet of things or IoT. this tech makes it possible for routine things to be adjusted to computers that allow transmission of information back to the firms that made them. Imagine an intelligent refrigerator that’s capable to keep track of food expiry dates and request additional groceries when you need more. 

At the time when such devices as Siri or smart fridges are beneficial devices for everyday life, AI could lastly assist us to achieve more things. Consider auto-driver vehicles those clean traffic accidents – or smart mining, which would add security in one of the global most risky careers. AI could even remove extremely deadly viruses such as dengue fever. Actually, Microsoft has begun preparing an AI-powered pit that can determine and shoot mosquitos that transmit a certain virus.

In all the instances we’ve mentioned above, you might’ve remarked that AI isn’t impacting our world in manners those science fiction movies pictured through history. Meaning that AI isn’t meant to end up in a robot invention. This is due to AI being just a means that man has made, and it needs mankind to use it. For sure, that doesn’t imply that AI can’t complete specific missions more rapidly and more expeditiously than a human being. Both artificial and human intelligence have their own advantages and disadvantages. Remember this whenever you face people who vow about AI’s capacities that will shortly consume ours.

Thus, we now have a clue of what AI is willing to and the manners in which it’s shifting the globe in total. In the coming two sections, we’ll see the unusual challenges AI and other digital technology suggest to the market realm in precise. Then, we’ll test the SUPER approach – the writer’s model for revealing the methods that AI uses to help markets.

Chapter 2 – Digital technology has extremely shifted client anticipations and attitudes.

The majority of people can even remember the times when cell phones flipped on to show a modest keyboard that could just dial calls or send SMS. Now, more than 8- percent of the US citizens wonder with powerful, pocket-sized computers all the time.

The abilities available by smartphones have massively switched clients’ anticipations. Consider something as easy as ordering a pizza. Nowadays, we believe that we can order, pay, and follow the delivery man until the minute they come to our doorstep – all from our mobile. Very long are the troubles of getting to verbally frequent big orders, this is besides having to collect what you want from the restaurant in person.

Not similar to the last year’s clients, now’s clients are more equipped than before to ask for high-speed, quality service. Only consider Uber and Airbnb, which are fastly exceeding regular cab and resort businesses. How? Such emerged firms concentrate on building experience instead of only services.

Then, what specifically is client experience? Basically, it’s the opinion that people think when they deal with your what you offer, from the moment they use it till they’re done.

Usually, the client experience begins with marketing. And in our greatly digital, netted world, e-marketing has switched from a monologue to a dialogue. Rather than a printed advertisement attractively illustrated to drive client towards a product, ads should be specific to clients’ certain demands and needs. For instance, a person might find an ad aimed at their need when they’re checking Facebook.

An approach for a client experience that AI has previously developed is slur over friction points – phases of the purchasing procedure that are hard for the client to reach or finish. Seldom, they can be so teasing that they make people quit their whole buying process.

Recently-employed telemedicine applications have achieved huge work at treating the friction point of patients who want to go to, and wait at, the clinic. Rather, these apps let patients see doctors and get good-level care through text, voice, or video.

Personalized service has always been an obligation in healthcare, for sure, yet, it’s a popular aspect that’s rapidly moving to different sectors. Think of the difficult algorithms knowing your preferences and making your Netflix or Spotify homepages only for you. Very shortly, our whole globe will become “smart”, having plenty of AI-powered wonders as streets with intelligent traffic lights in it that can set and optimize the roads according to the traffic patterns.

Chapter 3 – AI understands the language of data, which needs a foundation to be handy.

Remember the last time you purchased something from an online board as Amazon. On your side of the process, maybe it looked so easy – only a couple of clicks and the order arrived at your door one day later or yet the same day.

Now, consider the amount of data that were needed to be transmitted on Amazon’s end to prepare that order to you without delays. The item itself has a barcode and all its descriptions – such as its size and place in the store – are saved in an Amazon database. When you place an order, the item requires to be taken from the store, wrapped in a package, and sent to a carrier office. The package is assigned a unique barcode, shipping records are made, the package arrived and you receive a message or an email to confirm it.

There is not just too much data for only one order, but various services – Amazon’s database, the store, the carrier firm, and the seller are among them – require connections between each other. Thus, where is all the information kept?

For a business as huge as Amazon, it’s reasonable that they’ve advanced their own sophisticated system of data management applications based in the moniker of Amazon Web Services. Yet, it’s not just Amazon who uses this kind of important data-management suite; many firms can purchase their services as well. This implies that firms can keep data in the cloud, which is hosted through the World Wide Web and can be opened and used from any place in the globe.

Actually, several small firms and start-ups use cloud services available through the likes of Amazon, Microsoft, and Google. It could be that they’d be suitable for your business’s information demands. Yet, if you favor not to get all your data managed by a third party, you might have an option to save it on your own server – or in a private cloud storage platform created exclusively for your business.

When you make up your mind on the way you want to save your data, you need AI to step in. eventually, AI will be using the whole data to aid the run of several sections of your business. The horizons with AI are likely limitless, as you’ll read in the sections. We’ll zoom in the manners which the writer’s SUPER approach can assist you to employ AI at your firm, beginning with how AI can make your transactions faster.

Chapter 4 – Artificial intelligence assists in speeding up and improving business transactions. 

Going back in time to the beginning of the 1900s, Henry Ford was on a demand to manufacture vehicles for people. At that time, though, it required half a day for a crowd of employees to assemble a new vehicle – which was not fast enough. A huge change occurred in 1913 when Ford created the assembly process. Now, every employee had to place one part of the vehicle then sends it to the next employee. This lessened the assembly time to only a couple of hours and a half.

Why such advancement is very vital? It’s due to the firm’s mere ability to sell as many items as it can build without tolerating huge further employment budgets. In case you’re able to produce ten thousand items, then that’s what you’ll manage to sell.

Thus, how can you raise production and build more items? Alright, you could work on speeding up your business’s procedures. Yet, with no means to make it easy, you endanger wasting both labor and clients, eventually taking your business backward. Here where AI steps in, providing us with the initial aspect in our SUPER approach: Speed. Using automating slow and repetitive procedures, workers’ time is specified to center around prioritized issues.

Think of an example as AI chatbots, which can deal with the most regular and easy customer service matters. They can offer assistance at any hour of the day, sending quick solutions and raising client involvement. It allows the labor force to tackle the more sophisticated and accurately different requests.

Not only the customer assistance, but speed is also crucial in medicine. Frequently, patients find the difficulties of their treatments’ matters just after they’ve gone to the clinic. Sadly, the loss is regularly unchangeable at this stage. Yet, what if cases such as heart failure could be anticipated prior to its happening? IBM is aiming at doing this precisely. The firm is now sponsoring a multi-million dollar study plan that scans numerous medical records of patients. The target of the research? To store the dug up data into an AI supercomputer that can provide fast diagnoses to patients – and prominently rescue massive lives.

Just like adding more speed and lessening deaths, AI’s data-driven and searching abilities can be utilized to develop procedures and grow production. Consider Siemens, a firm that deploys neural networks to improve wind turbines. The turbines follow wind behavior and set their rotations equally. By working more expeditiously, the turbines, eventually, producing more power for a wind field.

We’ve shown you how AI can serve firms by raising speed and improving production. Let’s now learn how it can enhance our knowledge of clients.

Chapter 5 – AI adds to knowledge and shows insights that let firms offer better service.

Imagine a market in the old times, stuffed full of merchants all competing for the masses’ eyes. How did these merchants guarantee that a person purchased their freshly prepared bread rather than another’s? By knowing their customers’ wishes and switching their production tone based on that.

To let sales meet planned customers, firms, all the time, have demanded aspect number two in the SUPER approach: Understanding. What’s shifted are the manners of knowing your buyers. Using AI, you can learn about customers’ demands and preferences and cop your plan according to the feedback you get.

Consider ads. AI can be utilized to record buyers and target them with appropriate ads. Reaching beneath what ads merely show for items that customers have previously purchased, AI determines different items to recommend – and after that, adjust their time and place accurately to reach the maximum amount of feedback.

How do you start to understand clients? With huge amounts of data. Sadly, that data is usually saved in several places or siloed. If Amazone wishes to provide you with customized search outcomes, for example, it might grab information from your Google searches history or from previous orders you’ve made at other websites. All of this information is saved by many firms and databases, which doesn’t facilitate the process of accessing it.

Perhaps you have previously thought of the other issue with all this data collection: privacy concerns. Firms need to face these issues from the early start point, remembering compliance with shifting data rules and customer issues. A common trend now is anonymization – a technique that omits personally identifiable information as long as firms are permitted to use the data for product advancement and make them appeared to the target customers.

For sure, AI isn’t merely for advancing specialized add campaigns. It can enhance other sectors as well, such as communication. Think of Quill, a software developed by Kristian Hammon, a computer science academic staff member at Northwestern University. This product utilizes natural language processing – a methodology for AI to understand a human-verbal language – to switch numerical database information into explicit, written transcripts. Firms can use Quill to produce reports, which lets employees check and discuss the reports instead of editing them manually.

To completely empower AI’s importance to support understanding, it’s prominent to remember the data feedback cycle. By knowing the customers and learning their demands, you can build positive AI-driven experiences. The matter will assist you to improve and transform your products, eventually furthering client involvement and collecting more information with which to improve.

Chapter 6 – AI can both scale and improve performance.

If you’ve been employed by a big enough firm, you’ve possibly known the term KPIs or key performance indicators. For instance, maybe your firm wants to raise year-over-year production by 100 present. This and any KPIs are methods of scaling the degree of flourishment a company has been at accomplishing its goals on both the company-wide and departmental scale. On the other hand, they can be the main origin of pressure, driving employees to be scared of being seen as losers.

As a firm, it’s prominent not to assess a person toughly if they don’t achieve a KPI, yet, to rather deal with those breaks as blocks to enhance and develop. Perhaps you have decided to have the wrong goals or require different scales to look at the bigger image of the reason behind production performance that occurs in a specific way. Or, perhaps your information source lacks quality. All of such reasons could take you to incorrectly develop for the unwanted item.

Sadly, AL has the capacity to both scale and utilize information to enhance Performance – the P in the SUPER approach. Let’s consider agriculture as an instance. Nowadays, several farmers keep on using a one-size-fits-all aspect to use pesticides and fertilizers in their harvests. AI introduces a more different aspect. By installing sensors in the soil to measure the levels of water and nutrients, landowners can have information, which is, afterwise, transmitted to AI-enabled systems that control water, fertilizer, or pesticide supply to the sides in need.

A second area where optimal performance is hard to accomplish is logistics. An international supply chain is very sophisticated – multinational firms, service providers, and suppliers all require communication and cooperation to achieve production, deliver, and distribute items and parts all over the globe. Worse, the databases they have are usually not merely electronic.

AI can assist here as well. Deep Thunder, a program created by IBM and the Weather Channel, utilizes machine learning to test more than 100 terabytes of data every day, giving huge accurate, location-specific climate predictions. Such information lets weather-sensitive sectors such as supply chains anticipate the influence of disastrous phenomena like hurricanes and typhoons. 

After we’ve experienced sort of the manners on AI’s ability in assisting firms to accomplish their strategic targets, let’s explore how it can support experimentation and create outcomes.

Chapter 7 – AI makes firms experiment, solve problems, and bring outcomes.

Through time, mankind has promoted using experimentation and creation to solve serious issues. Consider the Roman channels. Such amazing structures were made hundreds of years ago before SMS, heavy vehicles, or even bombs were even there. Yet, ancient Rome’s progressive population seriously required a stable source of water, so they utilized creativity to invent the required foundation to obtain it.

Just as the Romans utilized the techniques they had back then to support them in answering their problems, we can utilize our recent-advanced devices – such as AI – to experiment and achieve tough targets. We call that chain actionable curiosity, a procedure that takes us to the last two aspects of the SUPER approach: Experimentation and Results. 

A recent-advancement instance of AI-powered curiosity driving toward creativity is Spacex. The firm specifies the exorbitant expense of making a rocket with a massively expensive budget worth of devices that can’t be fixed after launch. SpaceX was curious about the possibility of them solving the issue. Thus, they advanced reclaimable boosters that can take a rocket back to earth for an unlimited time, with AI’s help to consider all the possible options to an appointed landing spot with enough fuel. 

Man’s curiosity is something, yet, AI can be curious as well. Consider Adobe Project Scene Stitch, which utilizes AI’s creative ability to achieve an aim. Assume you’re processing an image in which specific not desired touches – such as an ugly road that interrupts an astonishing green mountain view – require to be removed and replaced with a view that meets the whole photo. This AI utility can filter through a huge number of images to find the graphic features that would fit well in the image and smoothly blend them.

Not just can AI improve current items and services such as rockets and photo-editing software, but it lets completely new firms to be established as well. Think of iRobot, the firm behind the Roomba – a tiny, robotic vacuuming machine whose recent versions use AI to scan the chambers at your home and set their cleaning behaviors based on it. Neither the machine nor the firm that built it would be found except for AI.

If your firm totally considers AI or not, the writer emphasizes that it’s turning into highly waste to have a business transformation process that doesn’t include it. Luckily, AI’s power is determined just by the creativity. If you’re quite curious regarding answers for a certain issue, it’s not totally irrelevant to consider AI to assist you in accomplishing it.

Superhuman Innovation: Transforming Business with Artificial Intelligence by Chris Duffey Book Review

Artificial intelligence is dramatically altering the manpower, enabling creativity, and influencing firms at an unknown place. If firms will sustain relevancy, they’ll have to grow smart AI plans to earn and sustain a rival advantage. Luckily, you can use the SUPER approach to help specify your AI system and assist your firm plan.

Before you start an AI program, choose the person who will have it.

This can be simple to be excited regarding an AI program and establish your firm with it before you get concerned about the party which will handle it. Yet, deciding a party for your AI program is prominent since that’s party’s team will be forming the AI according to their own experience. If you’d like to apply an AI that’s concentrated on monitoring financial issues to the firm, for instance, think of having your finance department manage the AI’s procedure and resources.

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Savaş Ateş

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