apidays Paris 2022 - The next five years of the API Economy, Paolo Malinverno, Salesforce

apidays Paris 2022 - APIs the next 10 years: Software, Society, Sovereignty, Sustainability
December 14, 15 & 16, 2022

Closenote main track : The next five years of the API Economy
Paolo Malinverno, VP of Strategy and Innovation at Salesforce
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Transcript

1. The Future 5 Years of
   the API Economy
   Paolo Malinverno
   VP of Strategy and Innovation
   

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2. 2
   Inflation
   Fragile
   Supply
   Chains
   Cyber
   Threats
   Rising
   Interest
   Rates
   Pandemics
   Climate
   Crisis
   Remote /
   Hybrid
   Work
   A World Without Truth
   War in Europe
   Energy Crisis
   UNCERTAINTY
   https://diginomica.com/uncertainty-certain-transformation-not-option-automation-and-adaptability-are-key-success
   

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3. 2023 SERIES OF EVENT
   New York
   May 16&17
   Australia
   October 11&12
   Singapore
   April 12&13
   Helsinki & North
   June 5&6
   Paris
   SEPTEMBER
   London
   November
   15&16
   June 28-30
   SILICON VALLEY
   March 14&15
   Dubai & Middle East
   February 22&23
   

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4. Easy Truths for the next 5 years in APIs
   [really easy]
   APIs will be used more and more
   ● Consequence 1: everybody will take for granted that everything has
   got APIs into it
   ● Consequence 2: everybody will talk about APIs less and less
   ● Consequence 3: you will still find difficult to find just the API you need
   You will consume existing APIs, more than designing new ones
   Consumers will still expect to use APIs for free
   ● In turn, API providers will still struggle to get value out of offering APIs
   ○ Both for directly and indirectly monetised APIs
   The abundance of API standards (which means no real standards) will
   continue
   ● Even in key verticals, like Financial Services
   

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5. MEGA
   Technology
   Trends
   and consequences for the world of APIs
   

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6. Biz Technologists /Non
   Techie Automation
   The amount of technology work done by non
   technology people is going to spike
   According to Forrester, in the world there are:
   ● 22M of developers
   ● 1B of knowledge workers
   APIs will be increasingly mixed with low / no
   code and flows
   ● ‘Make customers interactions digital’
   Fusion Teams will become increasingly
   common
   Consequences on APIs
   1. Expect that your business / experience
   APIs will be used:
   a. By people / applications / digital twins who
   don’t (care to) know how the API works
   i. Or what system load they will cause
   b. For usages they were never designed for
   2. Biz Technologists need to be governed,
   by you, first of all
   3. If you include external APIs in your
   developers’ portal, rate limit them if you
   pay for them on a consumption basis
   4. Consider your API will be just a building
   block, like a microprocess, or a piece of
   User Interface
   5
   

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7. Sustainability
   Every Company will need to understand,
   report and manage its greenhouse gas
   emissions
   Upstream, Operations, Downstream
   Greenhouse gas footprint does change in
   time, potentially wildly
   ● On factors like asset life, location of data centers, or
   even company growth
   EU Regulations on sustainability targets likely
   to get heavier in time
   Consequences on APIs
   1. Massively data intensive
   a. Forget about spreadsheets
   2. It’s all about fishing out accurate
   emissions data, over and over
   a. Sounds familiar?
   b. Absolutely not a trivial job
   i. i.e. in manufacturing, especially downstream
   ii. complicated by factoring in circularity or
   workload and software efficiency
   3. Heavy and frequent reporting
   requirements
   4. Design APIs for frequent consumption
   a. And focus on data accuracy (e.g. real time)
   5. Buy / sell sustainability credits
   6
   

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8. AI Job Augmentation
   The use of AI technologies to augment
   workers capabilities
   ● As opposed to fully automate (part of)
   them
   ● The tension between augmentation and
   automation is extremely complex
   AI job augmentation is key in jobs which
   heavily rely on Data and Analytics
   Main decision blockers are risk, costs and
   implementation complexity
   Consequences on APIs
   1. Increased use of AI APIs, at scale
   a. Packaging an algorithm in an API will be a
   very common way of distributing it
   2. Never forget the G word (Governance)
   3. If you design AI APIs, be ethical
   a. There is a very fuzzy border between fair
   commercial interest and plain bias
   4. If you use AI APIs, assess the risks of the
   APIs giving you skewed results. Ask yourself
   three key questions
   a. Who financed the development of the API
   b. Is there any risk of vested interest
   c. Can you trust the results of this APIs
   d. What are the downstream consequences
   and risks of skewed results
   7
   

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9. https://www.youtube.com/watch?v=tIp251KCz6k
   The Metaverse
   

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10. Two Warnings
    1. I would fix this world before creating another (that we
    will have to fix later)
    2. I would not even start talking about rich men taking
    over social networks
    9
    

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11. Web3, Immersive
    Technologies, Metaverses
    Gartner Definition: “Web3 is a new stack of
    technologies for the development of
    decentralized web applications that enable
    users to control their own identity and data”
    Web3 and the metaverse are complementary
    concepts evolving in parallel
    Similarly, immersive technologies will become
    popular for training, remote expert guidance,
    remote inspection, and remote collaboration
    There will be huge investments in metaverses
    ● Perennially five years away?
    Ask yourselves: what if people will prefer living
    and working in the metaverse?
    Consequences on APIs
    1. With information stored in multiple
    locations simultaneously and no single
    authority or ownership, Web3 promises to
    be API Heaven (or Hell)
    a. Authentication and Identity Management will
    be totally different (people own their data)
    b. NFTs emerging
    c. REST in peace?
    2. Easy to say there will be APIs for immersive
    technologies (especially Intraverses), but it
    is very early days
    3. Certainly the metaverse is still evolving a lot,
    too far away to make API assumptions for
    10
    

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12. Digital Twins / Digital
    Humans
    Digital Twins have been around for years
    ● Customers, physical machinery, even
    organisations all have potentially
    sophisticated digital twins, today
    Digital Humans are AI powered human-like
    virtual beings, who can connect to any digital
    entity (i.e. a chatbot), take decisions, and
    also interact with humans using verbal and
    non-verbal cues
    ● In other words, digital (non physical)
    robots
    Consequences on APIs
    1. Today, digital twins already have APIs,
    that mirror the APIs into their physical
    twin
    a. The digital twin APIs are used to test what if
    scenarios, provide advanced customer care,
    plan predictive maintenance, etc.
    b. The physical twin APIs are called to
    perform real life actions
    2. Digital Humans will run algorithms to
    simulate human behaviour, and will be
    active
    a. APIs will just be one of their (legacy)
    communications channels
    3. Innovative, truly digital business models
    will fuel the Digital Humans Economy
    11
    

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13. Core Values.
    Our North Star.
    ETHICS
    

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