Before Cloud Computing implementing a system was easy as you always knew where your data resided so you could easily ensure that your requirements aligned with the relevant regulation. Over the last few years however this has started to blur as regulation has changed, not all elements (including encryption keys, back up or disaster recover etc) were located in the same jurisdiction and increasing interference by governmental bodies. The last quarter has however seen even more challenges with different legislation launching.
- On 25th May 2018 the EU GDPR regulation came into force which is designed to harmonise data privacy laws across Europe, to protect and empower all EU citizens data privacy and to reshape the way organizations across the region approach data privacy.
- On 21 March 2018 President Donald Trump signed a $1.3 trillion government spending bill, which included the CLOUD Act.
The CLOUD Act is a far-reaching, privacy-upending piece of legislation that will:
- Enable foreign police to collect and wiretap people’s communications from U.S. companies, without obtaining a U.S. warrant.
- Allow foreign nations to demand personal data stored in the United States, without prior review by a judge.
- Allow the U.S. president to enter “executive agreements” that empower police in foreign nations that have weaker privacy laws than the United States to seize data in the United States while ignoring U.S. privacy laws.
- Allow foreign police to collect someone’s data without notifying them about it.
- Empower U.S. police to grab any data, regardless if it’s a U.S. person’s or not, no matter where it is stored.
Even though the Cloud Act offers bi lateral powers to both the United States and Foreign nations to demand personal data its also means that no data is free from scrutiny globally if it is from a US company.
With all these changes and whatever will follow will enterprises resign to the fact that Cloud Data like AWS, Azure, Google Cloud etc can be assessed by the authorities without warrants or will a new bread of company emerge that is registered in the jurisdiction its data is in to prevent global data retrieval or will there be more focus on everyone holding their own private encryption keys?
We have come a long way since the introduction of the smartphone and social networks however only in the last 12 months has everyone started to realise the cost of free. Your only consideration when you downloaded an app on your mobile device used to be whether you opted for the free version and were bombarded with ads or the paid version and were left alone. It now transpires that with the advances in Artificial Intelligence being targeted for ads is the least of your worries and it’s only going to get worse. In fact these advances are being driven by companies you will have never heard of and one of the most successful who specialise in facial recognition is valued at $4.5 Billion ( China’s Sense Time ) so don’t assume staying abreast of developments by the likes of Microsoft, Google and Amazon are the ones ones to watch.
The recent controversy around the use of Facebook data by Cambridge Analytica highlighted the value of our data and what can be done if it is mined / sold without our knowledge. This could however be a driver for good and encourage the consumerisation of the web where people are willing to subscribe to products rather than opting for a free version where you give away all the rights to your data.
The exploitation of data is however not just a western issue, in China social data will eventually drive everyone’s credit score. By 2020, everyone in China will be enrolled in a vast national database that compiles fiscal and government information, including minor traffic violations, and distills it into a single number ranking each citizen. The system isn’t in place yet and for now the government is watching how eight Chinese companies issue their own “social credit” scores under state-approved pilot projects. One of the most high-profile projects is by Sesame Credit, the financial wing of Alibaba with 400 million users. (Alibaba is the world’s biggest online shopping platform and is using its unique database of consumer information to compile individual “social credit” scores).
Slowly everyone is waking up to the value of Data and that behavioural insights can be used to distribute wealth, votes and even spending. It will be interesting with GDPR and advances in Artificial Intelligence whether consumerisation of the web will be a preference over transparent and agreed usage of personal data. Enterprises who can transparently and ethically handle data will win the race.
Do you remember a time before social media when people used to converse and talk?
Over the last few years these verbal communication skills have declined as everyone became more insular as they “collaborated” online and the most important factor was how many followers you had and what was written on your feed or wall. Real life suddenly took a backseat to what your friends were doing and the obsession with FOMO (Fear of Missing Out) rather than actually living life to the full and talking.
This medium of communication is however starting to fight back and maybe sometime in the future you may hear people talking to each other on public transport rather than staring at their mobile devices with their headphones on. Initially you may need to decide who your new best friend is from the growing list of virtual assistants be it Alexa, Cortana, Siri, Google or Bixby as your interaction with devices, appliances and even the internet will soon be voice enabled.
In a recent study from IDC it was found that almost 50 percent of new mobile apps use voice as a primary interface and Amazon has even launched Alexa for Business where employees can use Alexa on their own personal devices to make calls, manage their calendars, run to-do lists, set reminders, and locate information stored in third-party corporate applications, such as Salesforce, Concur or Splunk etc. These advances in digital assistants will allow the Intelligent enterprise to enable employees to conversationally interact with key applications and data insights, leverage the capabilities of natural language processing and machine learning to offer a cognitive and conversational user experience where they will be guided through complex workflows and provided insights and suggestions for the next step. . There is even a “Read Aloud” mode natively in the Microsoft Edge Browser.
Gartner has also reaffirmed these changes in their Top 10 Strategic Predictions for 2018 and Beyond in saying that “By 2021, early adopter brands that redesign their websites to support visual and voice search will increase digital commerce revenue by 30 percent” and that by 2019, more than half of all mobile searches will be voice or visual searches.
So in the future don’t forget we all have a voice and don’t necessarily want to sit in silence when we interact with technology
For many years now there have been numerous product launches which offer a new take on reality. Virtual reality is still very niche and very appropriate to gaming however augmented reality has always been the distant cousin with no real user case until now. As consumer grade technology has improved most new devices possess the power to offer a very good AR experience, just look at Pokemon go. However, if we look at credible uses for the masses numerous companies are now targeting the consumer and you could completely decorate / refurbish your house if you wanted. Amazon and Ikea have apps to which preview items for sale and you can view them in the proposed location with a mobile device; even Dulux has created a paint visualiser to enable you to see how rooms could look different with different wall finishes. Google and Apple are even offering platforms for people to create Apps using AR.
So what about the enterprise? Usage is certainly not far off especially as tablets are common place in the office so the time to dabble with POV/POCs is nearly here. Especially if the technology can move from 2D to 3D recognition and new form factor technology like glasses become mainstream.
So where could it be used? AR overlays digital data onto the real world so anywhere which dangerous is ideal, in the training environment, like the consumer space in Building Design, Refurbishments, Marketing. How about linking insurance quotes to object placement apps like above? You can even see it leveraging some of the translation services offered by google or object identification for people with disabilities like Seeing AI from Microsoft.
So get those thinking caps on as when you link AR to AI you have a very powerful proposition.
One of the best indicators for organisations into future trends and disruption is to follow all the usual suspects i.e. product launches, trade shows, conferences, press releases etc but then consider what isn’t being said. Most innovations launch with enough pomp and ceremony to hook the early adopters, however, to become truly mainstream most innovations need to interact with an ecosystem and as most venture capitalists will attest, unicorns usually have pivoted numerous times since the original funding rounds.
One of the best trade shows of the year is CES (Consumer Electronics Show) held every January in Las Vegas and this year did not disappoint. In addition to the normal incremental product launches this year was all about the Smart Home rising and the products announced would satisfy any home need, Samsung even announced that by 2020 all their products from TVs to Washing machines would be “smart”. The home products showcased ranged from Smart Fridges, Washing machines, Thermostats, Cameras, Alarms, Deadlocks,Showers, Wall Plugs, Baby Monitors, Garage door sensors, light switches and even garden hose watering systems.
If you consider my provocation to consider the things that are not mentioned how will all these products work together in the truly smart home as you certainly wouldn’t want a separate app for each. The voice assistants are starting to fill this gap (Amazon with the Echo, Google with the Home Mini etc) they are still closed systems that do not cover everything. Also, the elephant in the room is how exactly will these be connected to the internet? Most people have a reasonable WIFI speed however if you divide your download speed (MBPS) by all the connected products above you wouldn’t have any bandwidth left to watch your favourite program on Netflix let alone surf the internet. Theoretically you can connect 200+ devices to a Wi-Fi router however that doesn’t take in account that you are connected through a single home internet connection and manufacturers seem to recommend between 15-40 connections at most which would not last long in a family home once you take away all the mobiles, tablets and smart TVs. Therefore until Router technology improves or different consumer grade options become available for households to easily create mesh networks it may be a few years before we can rush out to completely kit out our homes which is lucky because there still isn’t an standard which says what blockchain the devices will connect through or even what crypto currency you would need to replenish your fridge.
When these Innovations do eventually land however (could be in next 10 years) the disruption / opportunity will ripple through every sector and will affect Insurance, Retail, Banking, Utility provision, to name but a few. The future will be connected so get ready.
Since the inception of the world wide web a gradual trend of collaborative
consumption has arisen. Before the emergence of Social; compute could be
shared with good causes like the SETI institute / medical research and there
were limited online forums but once broadband arrived in the UK in 2000
social sites accelerated collaboration through the sharing of social / personal
information (we will see in the future if this was a good idea), peer to peer
networks, crowdfunding and expert networks/forums etc.
We have now however entered a new phase of the Internet with the
incentivised web where you can be paid for interacting on the web. You can
self-publish books (The Martian sold 23 million copies with movie revenues of
$228.4 million), monitise Blogging/VLogging (top bloggers can make £15 million
per year). Wikipedia founder Larry Sanger has even joined a startup using
blockchain distributed ledger technology to democratise the encyclopedia by
creating a new site called Everipedia where contributors will be rewarded with
a digital token that also acts as a share of the platform.
Even in 2017 the rise of Bitcoin has spawned Cryptocurrency mining pools
where anyone can mine bitcoins with a % share of a cryptocurrency in return,
although this is already being exploited by cyber criminals were bitcoin mining
malware is being injected into sites and was recently found in a free Starbucks
We may therefore now be entering a period where we are all incentivised for
using the internet rather than allowing freemium applications to sell our own
data. So think twice before giving away your data and ensure your anti virus
software is up to date
Since the Edward Snowden revelations back in 2013 the popularity of messaging apps has gone from strength to strength especially since most now include end to end encryption. Recently however some of the larger players have started to make changes which could alter the way we interact with our mobiles forever. In the western cultures the messaging app is predominately used for messaging, sharing photos, audio/video communication and more recently sending friend’s money. Some have also started to add Artificial Intelligence/chatbots like Facebook Messenger and Google Allo to make them stickier.
However in places like China and Japan (WeChat /Line) messaging apps additionally allow you to play video games, shop (eCommerce sites) and use digital wallets which negates your need to leave the app ecosystem at all. These apps are so popular that WeChat boasts 963 million monthly active users and 600 million active WeChat mobile payment users. This may be only half of the active users stated by facebook globally however WeChat is little known outside of China until now.
In March 2017 WeChat announced It was looking to launch an office in the U.K. and another European country, alongside its existing presence in Italy.
In April 2017 a London-based FinTech firm (Tramonex) based out of Smithfield, said it had entered into an agreement to integrate its payments infrastructure with WeChat Pay to take advantage of the soaring numbers of Chinese tourists visiting the UK.
This month BNP Paribas announced it was introducing WeChat Pay to retailers in France and subsequently across Europe, providing an opportunity for merchants to streamline the shopping experience for the 7.4 million Chinese tourists who visit the continent each year.
On 9th November 2017 Chinese internet giant Tencent Holdings (the owner of WeChat) announced it was acquiring a 12 percent stake in the US social media network Snapchat whose investment would enable Tencent to explore cooperation opportunities with the company on mobile games publishing and newsfeed.
Over the last few years very little change has been seen across the social media / eCommerce landscape however this may just be about to all change and I cannot imagine players like Amazon, Alibaba, Facebook etc will take it lying down.
Even though technology appears to be getting more complicated, more expensive and refreshed more often this generally ensures that it is enjoyed by everyone much sooner. The big problem is that unless the new component parts are mass produced in sufficient numbers to reduce the price point it stays out of reach for the masses. However when the marquee players like Apple, Google, Samsung etc. introduce new innovations they tend to enter product ecosystems much sooner. 2017 has been a very interesting year for technology and in this update I thought I would share a few of the innovations which I predict that when they enter the mass market will disrupt the technology we use at home and in work.
Facial Recognition – The iPhone X will introduce Facial Identification via their True depth camera which uses 30k light sensors projected on the face to create an encrypted facial map to aid authentication instantly on the device
Real Time Translation – Google’s Pixel Bud headphones will bring real-time translation with Google Translate. Just touch and hold the right earbud to activate the Google Assistant on your Pixel 2 mobile and the in built speaker will translate what you say. There are 40 languages available today.
Cameras – The new high end smartphones now have near SLR quality dual cameras that can record in 4k and have x10 zoom for photos and x6 zoom for video
Virtual Reality – Both Google and Facebook via Oculus are making great strides in Augmented and Virtual reality. Oculus is offering a standalone headset in early 2018 for just $199 which will bring the price point to a consumable level.
Charging – The new high end smartphones are all offering wireless charging
Stylus – Samsung and Apple are both offering more options with regards to stylus/pens/Spens where they are starting to be more pen like rather than the size of a piece of chalk
Voice Controlled Smart Speakers – This year Amazon, Google and Apple very soon are all bringing out various sizes of “always on” smart speakers for the home.
If you just consider the above elements these could easy be incorporated into anything that requires authentication, video conferences, home security plus removing the wires on every device we use, so sit back as everything we use today is about to change for the better and good riddance to all those cables.
Over the last few years as technology has become increasingly cheaper, faster and accessible by all through the cloud, Artificial Intelligence has never been far from the headlines. When you think of AI you probably think of Robots and the Terminator films or maybe autonomous vehicles however it is much wider than this. Today AI is incorporated in no end of devices and already it is showing up in game development, autonomous vehicles, chatbots, robo-advisors, digital assistants (Alexa, Siri, Cortana etc) to name but a few. The overall research goal of artificial intelligence is to create technology that allows computers and machines to function in an intelligent manner. The general problem of simulating (or creating) intelligence has been broken down into sub-problems and these include topics like Machine Learning and Natural Language Processing. ML (Machine Learning) is also fast becoming the litmus test of forward thinking companies although adoption is currently low outside of the technology sector and there are few large scale deployments.
Today most data science is completed by actuaries and in house data analysis teams where the past is studied to predict the future. However in this changing world this is no longer just the answer as AI can make predictions in Real time and looking into the past will not predict the behaviour expected from events like Brexit, Global Warning, tensions with North Korea, immigration increases etc as they have never happened before. Also as wider data sets available to all are leveraged non-traditional players will start to enter the market. Also just think if somebody created an app store to sell algorithms to solve problems across all industries which did just this. The only differentiator would be the incumbents own data sets.
There are hundreds of applications for AI which will improve service, create efficiencies, reduce cost and provide competitive advantage and at the moment incumbents are best placed to leverage the widely available data sets merged with their own. However numerous non-traditional players are using technology to create or crowdsource big data sets of their own and IDC (International Data Corporation) forecasts worldwide revenues for Cognitive and Artificial Intelligence (AI) systems will reach $12.5 billion in 2017 and raise to $46 billion by 2021. So it may only be a decade before AI becomes fully mainstream so everyone will need to embed Machine Learning at the core of their business to ensure they are best placed to take advantage of in future.