• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

The Time of Connected Machines with AI is Arriving

Francisco Maroto / 4 min read.
June 11, 2018
Datafloq AI Score
×

Datafloq AI Score: 61.33

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/V8lWq

The Internet of Things is changing the face of society and the industry in a profound manner, but with the introduction of AI, consumers, enterprises and governments will be able to embark on projects never thought possible before.

For many years we will find a mix of unconnected machines, connected machines and AI enabled machines. Our challenge is to make them all collaborate under ethical principles avoiding using AI for creating psychopath and sociopath machines.

Let”s start connecting every machine

Every machine that can be connected will be connected. Machine-to-machine communication (M2M) has been building a promising basis for innovative and disruptive business models that will open up new opportunities. Take a look at How Do Machines Talk To Each Other? for a simple explanation about connected machines.

The goal of IoT: Connect every machine to everyone, everything, everywhere… in real time

Next Step, get value from data collected from Machines

But connecting machines itself is only an intermediate stage. The continual flow of information that connected machines make available permits management of the machine’s entire life cycle, from the installation stage to that of maintenance and up to replacement.

For machines owners, this translates to guaranteed system operation, with a development in the business model for the machines, which moves on from the purchase of a physical item to the purchase of the expected benefit. The provision of a suitable machine, its appropriate installation and its corresponding maintenance are entirely the responsibility of the supplier.

A key aspect in achieving this goal is data processing: the volumes gathered are such that the provision of valuable services is impossible without adequate information management.

As IoT devices are generating a large amount of data and we want to analyse the data, we need machine learning to find out the insight of the data or analyse the data.

For machine manufacturers, to capture and process machine data in real time will allow them to design more freely and manage their machine’s health remotely for better after-sales service. Their customers will also enjoy a better user experience, and be able to easily monitor and control their information in real time from anywhere.

Connected machines talking to each other and with humans will dramatically change the way how we will live and work.

The time of machines with Artificial Intelligence is arriving

Artificial intelligence and the Internet of Things become even more powerful together. AI and IoT are symbiotic, AI makes the machine learn from its experiences and manage with new data. I am not exaggerating when I say that AI is the best friend of the IoT.

As IoT scales to millions and millions of increasingly intelligent and interactive devices all around us collecting, distributing, and processing data in a combination of fog and cloud computing, many observers believe that AI offers the best chance of quickly and accurately making sense of all that data and putting it to work solving real-world problems. Data life cycles, flow, data classifications, reporting, and countless aspects of IoT will be dictated by the intelligence of AI.


Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

Consent

A study reported in Science magazine shows that self-taught AI is better than doctors at predicting heart attacks because of the complexity of risk factors involved.

Both AI and IoT are still in the early stages of their development cycles, saddled with immature technology, limited tooling, and still-emerging use cases often struggling to demonstrate enough real business value to justify their investments and live up to their advance billing.

In the short term, AI can help design more efficient IoT networks, ensuring there’s enough capacity without overbuilding and enhancing security.

There are many decisions made by AI engines that need to be fed back quickly and accurately to the IoT devices. The potential advantages and benefits of IoT and AI are unlimited.

The confluence of the Internet of Things and Artificial Intelligence is set to redefine the world.

Must we fear that in a not distant future, an AI system will be able to design other AI systems?

We will walk with AI machines that have consciousness, AI machines that can form representations about themselves. We must avoid fearing walk with AI machines, and for that, all AI Systems must have consciousness.

The challenge of living in a new brave world of AI machines and Enhanced humans

Humans are going to be artificially intelligent . That’s the prediction of Ray Kurzweil, director of engineering at Google. Kurzweil predicts that humans will become hybrids in the 2030s.

A prediction that is line with my article Bring Your Own Cyber Human (BYOCH) Part 1: Augmented humans . As we humans had formed societies that allowed us to have social interactions, AI systems will form societies that allow them to have cyber-social interactions.

If AI systems are indeed ever to walk among us, they’ll have to be able to understand that each of us has thoughts and feelings and expectations for how we’ll be treated. And they’ll have to adjust their behaviour accordingly.

We are at the dawn of a new cyber society. A society where organisations shall design plans to utilise the unique skillsets of both AI Systems and humans. A society where Humans and AI systems shall work and live together and without fear. A society where humans shall use newfound time and freedom to advance strategic skills and individual talents.

Thanks for your Likes and Shares

Categories: Artificial Intelligence, Internet Of Things
Tags: Artificial Intelligence, internet of things, IoT, machine learning

About Francisco Maroto

Francisco Maroto is CEO and founder at OIES Consulting, an IoT Consulting and Business Development company.

Business/technology executive with rigorous cross functional leadership experience in driving solutions for Telco, IoT, Edge Computing and AI.
Deep functional expertise in strategy development, product management, business development, alliances and partnerships.

Key Business Skills -- Creative problem solving | Self-Control and willingness to resist vacillation | Excellent Communication

Globally recognised as one of the top IoT and Telco advisor and leading voices on the state of the IoT market.

Prior to starting my own IoT Advisory firm, I lead the Telecoms industry working for leading companies like Microsoft, Oracle, Amdocs, SAP, HP, Vodafone and Indra.

Driven to advice technology vendors, enterprise customers and Startups in:
- How to leverage emerging technologies and solutions to drive business and digital transformation initiatives
- Business Development and Defining Go-To-Market Strategy
- Establishing key partnerships
- Develop new products and services with IoT, Edge Computing, AI, Blockchain, Cloud, Mobile and Data Analytics.
- Working with key customers

I regularly speaks at industry trade shows, conferences, and seminars and I write regular columns on IoT.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post
Host your website with Managed WordPress for $1.00/mo with GoDaddy!

Related Articles

The Advantages of IT Staff Augmentation Over Traditional Hiring

May 4, 2023 By Mukesh Ram

The State of Digital Asset Management in 2023

May 3, 2023 By pimcoremkt

Test Data Management – Implementation Challenges and Tools Available

May 1, 2023 By yash.mehta262

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics app Apple application Artificial Intelligence BI Big Data business CEO China Cloud Companies company content costs court crypto customers Data digital future Google+ government industry information machine learning market mobile Musk news Other public research revenue sales security share social social media strategy technology twitter

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • Oracle Cloud Data Management Foundations Workshop
  • Data Science at Scale
  • Statistics with Python
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • 5 Reasons Why Modern Data Integration Gives You a Competitive Advantage
  • 5 Most Common Database Structures for Small Businesses
  • 6 Ways to Reduce IT Costs Through Observability
  • How is Big Data Analytics Used in Business? These 5 Use Cases Share Valuable Insights
  • How Realistic Are Self-Driving Cars?

Search

Tags

AI Amazon analysis analytics app Apple application Artificial Intelligence BI Big Data business CEO China Cloud Companies company content costs court crypto customers Data digital future Google+ government industry information machine learning market mobile Musk news Other public research revenue sales security share social social media strategy technology twitter

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!