• By 2030 there will be 1 trillion devices connected to the Internet. Accordingly, the amount of data increases in geometric progression: there will be more than 40 zettabytes (1 zettabyte = 1 billion Terabytes) of data worldwide by 2020.
  • These 1 billion terabytes are produced by IoE (Internet of Everything):
    • Industry 4.0 widely well-stablished.
    • Weareables, bots and cobots…
    • 4 billion cellphones currently existing in the world…
    • Intangible” items like intelligent algorithms running in the cloud (and, for example, trading in the stock market-)…
    • Cardiac pacemakers and other medical gadgets carried by humans.
  • The future of work is the digitalization of the workplace:
    • Collaboration between robots and humans (and other robots).
    • The progressive automation of non-creative activities.
  • This scenario will arrive faster than expected, given the current pace and type of Digital Transformation.
  • It will impact DT related jobs and skills first and foremost.
  • Digital Twins is becoming the standard for representing things.
  • In 5 years, we can expect Digital Twins of everything: not only engineering designs, but the whole human body or even every possible consumer good.
  • As the amount of data grows and collecting data becomes more difficult, organizations will need to collect limited range data, specifically useful for them: it is called Smart Data.
    • Example: to launch a new marketing campaign, instead of capturing and processing all the data about our possible customers (social networks, sales trends, etc.), why not start by reminding our existing customers they should buy our product again (as they might be running out of it, because they bought it a month ago)?
    • This marketing campaign is more limited, but cheaper and more profitable.
  • Fintechs will continue developing a broader approach to their business, as Bitcoin is not the only focus any more: in 24 months, the price of bitcoin fell from $19.000 to less than $3.500. Last 12 months detail ( ):
  • Fintech companies are not only related to trade with cryptocurrencies (BitcoinEthereum) but also online credits, currency exchange through the network, online payments and digital banking.
  • Banks, in order to keep pace, will continue enhancing their digital capabilities.
  • Both fintechs and banks will use Artificial Intelligence for future predictions.
  • The picks of this year’s Forbes Fintech 50 will make unusual alliances, as they will compete with long-established players in finance and not against other blockchain startups.
  • US banks will follow China’s lead in upgrading their data security.
  • Blockchain is the cryptocurrency enabler: it gained notoriety in October 2017 when a British company added the term to its name and its stock price rose by 394%.
  • This technology will revolutionize the financial industry, according to the head of Nasdaq’s blockchain division.
  • Artificial Intelligence will be broadly used in business for automation of workflows.
  • Automakers should use automated technology to aid their workers with these types of forecasts (we are going to experiment an incremental process):
    • NowFrequently Asked Questions to solve current problems (pre-programmed answers according to lessons learned from previous experience).
    • Within 2 yearsContextual help (the automated assistance fits the activity carried out at the moment, with specific information to solve the specific task).
    • In 3-5 yearsPersonalized assistance (the automated assistance learns about the specific user, its common mistakes or the specific way he/she interacts with the system; then it fits the assistance to this specific user needs in performing a specific task).
    • In 10 yearsAutonomous organization of assistants (the level of automation will reach the stage of application of Artificial Intelligence capable of performing most tasks efficiently).
  • China will pull ahead technologically and, consequently, economically in the long-term.
  • It has the biggest audience of mobile Internet users ready for 5G:
    • 60% of the payments are currently done through devices using biometrics.
In the hyper-connected world, which is already here, “everything” is connected:

Machines with machines
Machines with humans
Customers to businesses
Businesses with suppliers
Businesses to businesses in supply chains
Businesses so whole ecosystems of shared data, such as Smart Cities…

So “everything” will be based on useful, smart, high-quality and sufficient data to make decisions based on them.

This is not only about data and technology:
The new scenario will require adapting the workplace and adopting the Agile mindset… All the while strengthening our capabilities with robots and cobots armed with Artificial Intelligence.