Predicting The Future

#NotesFromSXSW2016

By Kevin Kelly

AI and robots will create new jobs for humans – jobs that are focused on productivity over all else will be done by AI/robots. Jobs that need creativity and the willingness to fail will be done by robots. People with the ability to work with AI will be valued.

Virtual Reality and Mixed/Augmented Reality will lead us to an Internet of experiences. In VR you no longer watch scenes but viscerally experience the environment leading to memory. The hard problem is tracking your body and providing tactile feedback, not creating the world. Best example Void (redirected walking). For AR Mega

VR will become the most social of social media. It is inherently a social experience.

Personalisation and Tracking: anything that can be tracked, will be tracked. In VR your whole self is being tracked. The tracking will become more civilised because of co-veillance. We can track the trackers. There is a correlation between privacy and generic experiences, and transparency and personalisation

The great products of the next 20 years haven’t been invented yet.

The State of Blockchain 2016

#NotesFromSXSW2016

Background: https://en.m.wikipedia.org/wiki/Block_chain_(database)

HyperLedger – Blockchain project supported by the Linux Foundation. The objective is to create a kernel for the tech (like the Linux kernel). Companies will be able to build their offerings on top of a shared kernel. This gets launched at the end of the year and it will be the most significant software launch of the year.

Ethereum – Blockchain for contracts (and everything else). Andrew Keys calls it Facebook vs MySpace where Bitcoin is MySpace to Ethereum’s Facebook. In six months, the startup has hit a billion dollar valuation.

Blockchain is a new network of contracts and agreements. The smart contract is the killer app. The litigators of tomorrow will understand both Blockchain as well as the law to be able to handle disputes in the era of smart contracts.

The legal profession is about to be disrupted massively over the next 5-10 years as dispute resolution is baked into code.

 In the next 10-15 years, all payment systems are going to be replaced by Blockchain based systems. This will require, and drive, massive changes in financial policy at the local, national and global level. 

Blockchain is opening up a Pandora’s box of questions around the nature of a transaction, any transaction – from person to person to securities transactions.

This technology solves the trust problem: trust between people traditionally has been provided by a middleman (a bank or a notary for example). The Blockchain now provides that trust technologically – removing the middleman. 

This clearly has massive regulatory consequences.

As companies retool themselves for this world and a new regulatory environment, it represents a massive business opportunity for IT services companies that can bring themselves up to speed quickly enough to be able to provide transition services for everything from banks to airlines and schools.

Serious challenges exist for governments as they try to impose financial controls on a completely decentralized financial technology layer.

Programming a new life language 

#NotesFromSXSW2016

By Aaron Kimball

The panel submission deck:  http://www.slideshare.net/WhitneyJencks/zymergen-sxsw-2016-submission

Additional Background: http://www.pbs.org/wgbh/nova/next/evolution/crispr-gene-drives/

 

The problem: DNA is incredibly complex and it presents a data challenge. It is not possible to test every combination in which the base pairs arrange themselves.

While the cost of sequencing has fallen, it is not simple to figure out what any particular sequence of symbols does. Interpreting DNA is hard – the conventional method sees scientists try out different hypotheses, experimenting in wet labs, with potential combinations. The downside – of 10,000 attempts we might see a minor result in one. This makes this whole process hard, expensive, and time consuming.

Zymergen has built out a robotic process to automate this, allowing for many experiments to be run in parallel.

The problem is the amount, and kind, of data being generated. 

Fun fact: 93% of all chemicals in use comes from petroleum. Only 6% come from industrial fermentation. However as oil runs out, microbe-based chemical production processes becomes super important. But that needs us to be able to manipulate genes in microbes, designing better microbes.

Four phases:  

A new suite of software is allowing for high throughput microbe design and testing:  

Codon is a language that allows scientists to define a design idea – a gene manipulation within a microbe.  

A sequence looks like this – promoter + gene + terminator. The promoter defines how much the gene expresses itself. For example, how blonde will your hair be – platinum or just a dirty yellow.

The language allows scientists to very quickly create experiments that can test multiple permutations

The rest of the process allows for automation, speed and quick analysis on the data using a sophisticated software stack.

There are inbuilt decision trees based off previous non-machine test results.

The expected outcome is better chemicals that can lead to safer pesticides, plastics that break down, even better medicines.

Planning for Moments

#NotesFromSXSW2016

By Kiip

The real impact of IoT on marketing
Connected devices allows us to plan for and measure moments

Allows us to model intent on the basis of usage of devices – moments are directly connected to an action/series of actions by a consumer – typically triggered through app activity

Passive Moments leads to automation leads to detectable intent triggers/ moments which are non intrusive with permission built in

Moment Types: 
By adding proximity to the equation we start to build connected moments (how does connections planning change when we move from connecting funnel activations to moment activations)

Example: Rewards based on understanding of upcoming moments

Example: Oral B at MWC

Predict intent / upcoming moment using narrow AI that is digesting device data signals.

Understanding the new nature of instant gratification – The “connect” and “instant” generation: postmates/instacart/uber

Messaging gives us moments driven by human phrases – machines understanding and responding to natural language prompts from a human

The Connected Generation: the death of traditional segment (by age etc). Segment by intent in the moment.

We are moving to a Moments based CRM: 
Far more powerful than content based intent modeling. As long as brands add value to the moment, instead of abusing it for push-based messaging.