Tag Archive for: Artificial Intelligence

Pioneering AI in HR Course Sets the Stage for an Innovative Training Series

Barcelona, April 4, 2024 — A revolutionary professional course series has started with a successful session led by Miquel Ángel Mora of Talentyou.ai and organised by the Escola Europea together with the Training and Employment Group of the Port of Barcelona, focusing on the integration of Artificial Intelligence into Human Resource (HR) Management. This flagship course, the first of a four-part series, saw an impressive attendance from nearly 20 top-tier local companies, signalling significant interest in adopting AI in port-logistics people management processes.

Participants were immersed in the latest AI technologies transforming HR, covering a variety of topics such as automated resume screening, AI-driven candidate matching, unbiased recruitment processes, and employee retention analytics. The course also delved into AI’s role in enhancing employee engagement, predictive performance modelling, and building sophisticated talent management strategies.

Through collaborative workshops case studies, the attendees learned to apply AI tools in practical HR scenarios, enabling them to drive efficiency and foster a forward-thinking workplace culture.

Building on this success, the series will extend its reach to other critical business functions with the following upcoming sessions:

  • AI in Sales and Marketing: On May 27th, this course will unpack AI’s potential to personalize customer experiences, automate marketing campaigns, and analyze sales data for strategic insights, fundamentally changing the sales and marketing landscape.
  • AI in Administration and Finance: Scheduled for June 19th, professionals will explore the use of AI in streamlining administrative workflows, financial forecasting, risk management, and enhancing fiscal operations through intelligent automation.
  • AI in Operations: Slated for July 12th, this session will address how AI can be utilized to improve operational efficiencies, from optimizing logistics and inventory management to implementing smart manufacturing techniques.

The comprehensive nature of the series not only highlights the multifaceted role of AI in modern business practices but also reinforces the need for a cross-disciplinary understanding of AI capabilities to stay competitive in the evolving business environment.

Given the enthusiastic response to the HR module, future sessions are anticipated to be in high demand. We urge interested professionals to secure their spots promptly for these transformative learning experiences.

For more information on how to register and prepare for the transformative impact of AI in your business domain, follow our updates.

The Future of Talent Acquisition with AI

The recruitment landscape has undergone significant transformations over the years, evolving from manual job postings and paper CVs to digital platforms and social media outreach. In this era of technological advancements, Artificial Intelligence (AI) is setting the stage for the next major shift in talent acquisition. By automating repetitive tasks, offering insights into candidate data, and facilitating more informed decision-making, AI is not only streamlining the recruitment process but also enhancing the efficiency and effectiveness of hiring strategies.

The Role of AI in Talent Acquisition

Artificial Intelligence is revolutionizing the way companies approach talent acquisition, making the process faster, more accurate, and less biased. AI’s influence is evident in every phase of recruitment, from sourcing candidates to finalizing hires. Unlike traditional methods that rely heavily on human judgment and manual processes, AI-driven strategies utilize data analysis, machine learning, and predictive analytics to optimize recruitment outcomes.

AI tools and platforms are now capable of parsing vast amounts of data to identify the most suitable candidates for a position. These technologies can analyse job descriptions, match them with candidates’ profiles, and even predict the likelihood of a candidate’s success in a role. This level of precision not only streamlines the recruitment process but also ensures a higher quality of hires by matching the right candidates with the right opportunities.

AI in Sourcing Candidates

 The advent of AI in sourcing candidates has dramatically changed the recruitment landscape, enabling companies to find talent more efficiently and effectively. Traditional sourcing methods, such as job boards or recruitment agencies, often require significant time and resources to sift through applicants. In contrast, AI-powered platforms, like LinkedIn and Glassdoor, use sophisticated algorithms to analyse a candidate’s online profile, experience, and skills, suggesting potential matches that fit specific job requirements.

For instance, LinkedIn’s Recruiter tool leverages AI to offer recommendations based on the job description provided by the employer and the candidate’s profile information. This system not only identifies active job seekers but also passive candidates who may not be actively looking for a new job but are open to opportunities. This broader reach ensures that companies have access to a wider talent pool, increasing the chances of finding the perfect match.

AI in CV Screening and Candidate Selection

 One of the most time-consuming aspects of recruitment is the screening of CVs. AI technologies, specifically Applicant Tracking Systems (ATS), have revolutionized this process by automating the screening of resumes against job descriptions. Tools such as Taleo, Lever, and Greenhouse use AI to evaluate resumes based on keywords, skills, previous job titles, and other relevant criteria, effectively narrowing down the pool of applicants to those who best match the job requirements.

Beyond just matching skills and experience, some AI systems are designed to assess a candidate’s potential fit within the company culture or predict their performance. For example, Pymetrics uses neuroscience-based games and AI to measure candidates’ cognitive and emotional traits, providing insights that go beyond the traditional resume. This holistic approach ensures that the selection process is not only about finding candidates with the right skills but also about ensuring they align with the company’s values and work environment.

Predicting Candidate Success

 Predicting the long-term success of a candidate is perhaps one of the most innovative applications of AI in talent acquisition. By analyzing patterns and outcomes from past hires, AI algorithms can identify traits and characteristics that are indicative of success in a particular role or organization. Platforms like Harver and HireVue integrate AI assessments and video interviews to evaluate candidates’ responses, using data analytics to predict job performance and retention rates.

This predictive capability is invaluable for organizations, as it helps reduce turnover rates by ensuring that hires are not only qualified for the position but are also likely to thrive and remain with the company long-term. Moreover, by reducing the chances of a bad hire, companies can save significant costs associated with recruitment, training, and potential termination.

Benefits of AI in Talent Acquisition

The integration of AI into talent acquisition processes offers several compelling benefits, from efficiency gains to improved quality of hires:

  • Efficiency and Time Savings: AI significantly reduces the time spent on manual tasks such as sifting through resumes or identifying potential candidates. For example, the AI-powered tool, Textio, assists in crafting job listings that are more likely to attract the right candidates, using data-driven insights to suggest language that appeals to a diverse and talented pool.
  • Improved Quality of Hires: By leveraging AI for more nuanced matching based on skills, experiences, and cultural fit, companies can improve the quality of their hires. For instance, the AI recruitment platform, Ideal, uses machine learning to analyze data on successful past hires, identifying traits and qualifications that correlate with success in specific roles, leading to more informed hiring decisions.
  • Enhanced Candidate Experience: Chatbots like Mya automate the initial stages of the recruitment process, engaging with candidates through natural language processing. This not only speeds up the screening process but also improves the candidate experience by providing immediate responses and feedback.

Challenges and Ethical Considerations

While AI offers numerous advantages, its application in talent acquisition also raises several challenges and ethical concerns:

  • Bias and Fairness: AI systems are only as unbiased as the data they are trained on. Amazon’s scrapped AI recruiting tool is a case in point, where the algorithm developed a bias against female candidates because it was trained on resumes submitted to the company over a 10-year period, predominantly from men. This highlights the need for continuous monitoring and updating of AI systems to ensure fairness.
  • Transparency and Privacy: Ensuring transparency about the use of AI in recruitment and safeguarding candidates’ privacy are paramount. Tools like HireVue, which uses video interviews analyzed by AI to assess candidates, have faced scrutiny over privacy concerns and the transparency of their AI algorithms. Companies must navigate these issues carefully, ensuring compliance with regulations like GDPR and communicating clearly with candidates about the use of AI.
  • Dependency and De-skilling: There’s a risk that reliance on AI could lead to de-skilling of HR professionals, potentially making them overly dependent on technology for decision-making. Balancing the use of AI tools with the human touch and judgment remains crucial.

 

Conclusion

The future of talent acquisition is undeniably intertwined with AI, offering transformative potential to streamline the recruitment process, enhance the quality of hires, and predict candidate success. However, as we embrace these technologies, it’s imperative to address the challenges they pose, particularly around bias, transparency, and privacy. By doing so, we can harness the power of AI to not only revolutionize how we find and hire talent but also to do so in a way that is fair, ethical, and respectful of candidates’ rights.

We’ve done our research – so should you! Check out our sources below to delve more deeply into the topic:

SOURCES

 

  1. Forbes – “How Artificial Intelligence Is Transforming The Recruiting Process”: https://www.forbes.com/sites/jackkelly/2023/09/13/how-ai-is-a-game-changer-for-recruiting-and-retention-at-salesforce-and-other-companies/?sh=62cef77d36fa
  2. Harvard Business Review – “Recruiting”: https://hbr.org/2021/03/reengineering-the-recruitment-process   LinkedIn Talent Blog: https://www.linkedin.com/business/talent/blog/talent-acquisition/how-ai-will-change-hiring
  3. Entrepreneur (Middle East) – “How Artificial Intelligence Is Reinventing Human Resources”: https://www.entrepreneur.com/en-ae/technology/how-artificial-intelligence-is-reinventing-human-resources/320763
  4. Recruiter.com “How Artificial Intelligence Is Transforming Recruiting Today “: https://www.recruiter.com/recruiting/how-artificial-intelligence-is-transforming-recruiting-today/

 

Arificial Intellince

#BlueInnovation: AI – what’s the maritime hype?

Arificial Intellince

In an era where artificial intelligence (AI) has taken the world by storm, its influence is slowly infiltrating all aspects of our society. From healthcare to finance, AI is revolutionizing industries. The maritime sector is no exception. With advancements in technology, AI is transforming maritime transport, leading to improved safety, operational efficiency, and sustainability. In this article, we explore how AI is making waves in the maritime sector and its potential implications.

AI applications in the maritime sector are vast. These include autonomous ships and AI-driven navigation systems that optimize vessel routes, minimize fuel consumption, and enhance safety. AI-powered monitoring and predictive analysis systems contribute to improved maritime safety and security by detecting and mitigating potential risks. Smart port management systems leverage AI and the Internet of Things (IoT) to streamline operations, reduce congestion, and optimize resource allocation. Machine Learning makes it all possible. Additionally, AI plays a crucial role in promoting environmental sustainability by optimizing fuel consumption, reducing emissions, and developing cleaner propulsion systems.

Let us take a closer look at some of those:

AI-Driven Navigation and Autonomous Ships:

One of the most profound impacts of AI in the maritime industry is the development of autonomous ships and AI-driven navigation systems. These cutting-edge technologies leverage machine learning algorithms and real-time data to optimize vessel routes, minimize fuel consumption, and enhance safety. AI algorithms analyse historical and real-time data, including weather conditions, traffic patterns, and navigational hazards, to make informed decisions and guide ships more efficiently. This not only reduces human error but also improves operational efficiency, lowers costs, and reduces the industry’s carbon footprint.

Enhancing Maritime Safety and Security:

AI-powered systems are also being used to enable advanced monitoring and predictive analyses. Through the integration of AI algorithms with sensors, cameras, and radar systems, ships can detect and track potential risks in real-time. The computers can help analyse vast amounts of data and identify patterns to predict potential collisions, piracy threats, or hazardous weather conditions. This proactive approach allows for timely responses and mitigates risks, thereby ensuring the safety of crew members, vessels, and cargo.


Machine Learning

Machine learning, a subset of AI, is a critical component in the maritime sector’s transformation. Through machine learning algorithms, ships and port management systems can learn from vast amounts of data, adapt to changing conditions, and make intelligent decisions. Machine learning models analyze historical and real-time data to identify patterns, trends, and anomalies. These insights enable proactive decision-making, such as predicting maintenance needs, optimizing routes, and improving operational efficiency. Machine learning also empowers maritime professionals to make data-driven decisions, improving their situational awareness and enhancing overall performance. By continuously learning and adapting, machine learning algorithms drive innovation and pave the way for more efficient and optimized maritime operations.

Smart Port Management

Ports play a crucial role in the maritime sector, and AI is transforming how they operate. Smart port management systems leverage AI and the Internet of Things (IoT) to optimize operations, reduce congestion, and enhance efficiency. AI algorithms analyse data from various sources, such as vessel traffic, cargo handling, and terminal operations, to streamline processes. This enables better resource allocation, optimal berth assignments, and improved supply chain management. By reducing waiting times, optimizing logistics, and improving overall efficiency, AI-powered smart ports contribute to cost savings and a more sustainable maritime sector.

Environmental Sustainability

AI is also instrumental in promoting environmental sustainability within the maritime industry. With growing concerns surrounding climate change, AI-driven technologies are being used to optimize fuel consumption, reduce emissions, and develop cleaner propulsion systems. Machine learning algorithms analyze data from multiple sources, including weather conditions, vessel performance, and fuel consumption patterns, to optimize routes and minimize energy usage. AI-powered systems can also identify potential maintenance issues, leading to proactive repairs and minimizing environmental impact.

Final thoughts

As AI continues to revolutionize the maritime sector, its impact on safety, efficiency, and sustainability is undeniable. Autonomous ships, AI-driven navigation systems, enhanced safety measures, smart port management, and environmental sustainability are just a few examples of how AI is transforming the industry, optimising operations and reducing costs (both financial and environmental). In the future we can expect things like improved predictive analytics, enhanced situational awareness, and increased automation. While AI presents exciting opportunities, it is crucial to address ethical considerations, data privacy concerns, and regulatory frameworks to ensure responsible AI implementation in the maritime sector. With the continued integration of AI, the maritime industry is set to sail into a future marked by unprecedented efficiency, safety, and sustainability. Are we ready for it?

 

More reading:

Artificial Intelligence

Artificial Intelligence is here to stay – but at what cost?

Eduard Rodés - Director of the Escola Europea Intermodal Transport

Written by: Eduard Rodés, director of the Escola Europea – Intermodal Transport

In January one evening I sat down to experiment with the new tools that have been receiving a lot of industry hype recently – the AI chatbots that seemed to revolutionise the field of automation and digital assistance. I went into Chat GPT and asked it to “write a 1000-word article on artificial intelligence and logistics”.

This was the result:

“Artificial intelligence (AI) has the potential to revolutionize the field of logistics and supply chain management. By using machine learning algorithms and predictive analytics, AI can help logistics companies optimize their operations, reduce costs, and improve efficiency.

One of the main benefits of AI in logistics is the ability to automate and streamline processes. For example, AI can be used to optimize routes for delivery trucks, predict demand for certain products, and identify bottlenecks in the supply chain. This can help logistics companies reduce their operating costs and improve customer satisfaction by providing faster and more reliable delivery times.

Another area where AI can be useful in logistics is in the management of inventory. By analyzing sales data and customer demand, AI algorithms can help logistics companies forecast future demand and adjust their inventory levels accordingly. This can help reduce the risk of overstocking or running out of stock, which can have a significant impact on a company’s bottom line.

In addition to automating and optimizing processes, AI can also be used to improve the accuracy and speed of decision-making in logistics. For example, AI algorithms can be used to analyze large amounts of data and identify trends or patterns that might not be immediately obvious to human analysts. This can help logistics companies make more informed decisions about where to allocate resources, what products to stock, and how to respond to changes in the market.

AI can also be used to improve the efficiency of logistics operations by reducing the need for manual labor. For example, self-driving trucks and drones can be used to transport goods, freeing up human workers to focus on more complex tasks. This can help logistics companies reduce labor costs and improve productivity. Despite the many potential benefits of AI in logistics, there are also some challenges to consider. One concern is the potential for job displacement as more tasks are automated. Logistics companies will need to carefully consider how to retrain and reallocate their workforce to ensure that workers are not left behind as AI becomes more prevalent.

In conclusion, AI has the potential to revolutionize logistics and supply chain management by automating and streamlining processes, optimizing inventory levels, improving decision-making, and reducing the need for manual labor. However, there are some challenges that must be addressed in order to ensure that AI is used responsibly.”

 

I was left dumbstruck. I then wanted to test this further and accessed deepai.org/art. I asked the screen to create an image for me with the Word “logistics”, and low and behold – I was given a new image:

Technology has been advancing at an incremental rate since the late 80s, early 90s. Long gone are the days when you had to call an operator to connect you to another person. It also appears that the days of “assistants” will also soon be behind us. Artificial Intelligence is improving our productivity, changing the way we carry out daily tasks and work. But at what cost?

What is ChatCPT?

ChatGPT is a language model developed by OpenAI. In essense it’s an artificial intelligence chatbot, which launched in November 2022. It is built on top of OpenAI’s GPT-3 family of large language models and has been fine-tuned (an approach to transfer learning) using both supervised and reinforcement learning techniques.

The technology has the potential to revolutionize the way we communicate with machines and each other. Its implications on our future are vast, and its potential uses are only beginning to be explored. From business to education, healthcare to entertainment, ChatGPT has the potential to transform our world in profound ways.

One of the most significant implications of ChatGPT is its ability to enhance communication. With its advanced natural language processing capabilities, ChatGPT can interpret and respond to text in a way that is almost indistinguishable from human communication. This means that it has the potential to provide personalized customer service, support in education and training, and even therapy.

  • The system can also process vast amounts of data, which makes it a powerful tool for businesses. With its help, companies can analyze customer feedback, identify patterns in consumer behaviour, and improve their products and services accordingly. ChatGPT can also be used to streamline internal communication, automate repetitive tasks, and provide insights for decision-making.
  • In healthcare, ChatGPT can help patients receive more personalized care. By analysing patient data and medical history, ChatGPT can assist doctors and nurses in making more informed decisions about diagnosis and treatment. It can also be used to provide patients with support and education, helping them to manage their conditions and improve their overall health.
  • In education, ChatGPT has the potential to revolutionize the way we learn. It can provide personalized support and feedback to students, help teachers to create more engaging and effective lesson plans, and even automate grading and assessment. ChatGPT can also provide access to educational resources to people in remote or underprivileged areas, helping to bridge the digital divide.

Is it all good?

While ChatGPT has many potential benefits, there are also several risks and challenges that need to be addressed. Here are some of the most significant concerns:

  1. Bias: Like any artificial intelligence system, ChatGPT can be influenced by biases in the data it is trained on. This means that if the data reflects discriminatory or unfair practices, the system could perpetuate those biases. This is especially concerning when it comes to sensitive topics like healthcare or criminal justice, where biased decision-making could have serious consequences.
  2. Misinformation: ChatGPT can be used to create convincing fake news or propaganda, which can be spread quickly and widely through social media. This is a concern because misinformation can have serious real-world consequences, such as influencing political outcomes or causing panic during a public health crisis.
  3. Privacy: ChatGPT requires access to large amounts of data to work effectively, which can raise concerns about privacy. If sensitive personal information is stored and processed by ChatGPT, there is a risk that it could be accessed by hackers or other malicious actors.
  4. Dependence: As ChatGPT becomes more ubiquitous, there is a risk that people will become overly reliant on it for decision-making and problem-solving. This could lead to a loss of critical thinking skills and creativity, which are important for innovation and progress.
  5. Regulation: There are currently few regulations in place to govern the use of artificial intelligence systems like ChatGPT. This means that there is a risk that these systems could be used in unethical or harmful ways without consequences.

To address these risks and challenges, it is essential to continue developing ethical guidelines and safeguards to ensure that ChatGPT is used in responsible and beneficial ways. This includes ensuring that the data used to train ChatGPT is diverse and free from bias, and that users are educated on the limitations and potential biases of the system. Additionally, regulations should be put in place to ensure that ChatGPT is used ethically and transparently, and that privacy concerns are addressed. By doing so, we can maximize the potential benefits of ChatGPT while minimizing the risks.

Final thoughts

There is no doubt that ChatGPT has the potential to transform many aspects of our lives, from communication and business to healthcare and education. Its implications for our future are vast, and its potential uses are only beginning to be explored. As with any technology, it is important to continue to develop ethical guidelines and safeguards to ensure that ChatGPT is used in responsible and beneficial ways. The future is exciting, and ChatGPT looks to be a part of it.

Smart logistics concept

Back to basics: What is a Smart Port?

This year at the Escola we thought that we would go back to some basic (but modern) concepts connected to intermodal transport. With the series that we are calling #BackToBasics, we will begin explaining some concepts that are central to the transport sector today, but which can be confusing to some. We will kick-start our series with the concept of a “Smart Port.”

Daily Logistik: Asian Development Bank describes a smart port as a port that ensures “no waste of space, time, money and natural resources.”

What is a Smart Port?

 The inclusion of the word “smart” in the name implies the capabilities of the port and the integrated workflow (Marine Insight).  So what is it exactly? A smart port is a modern port that uses advanced technology and digital systems to improve the efficiency, sustainability, and competitiveness of its operations. Smart ports often use digital tools such as sensors, data analytics, augmented reality, big data, digital twins and automation to optimize the movement of cargo, reduce waste and emissions, and provide better services to stakeholders (which include shipping companies, customs authorities, and local communities). Smart ports may also include features such as renewable energy sources, electric charging stations (Onshore Power Supply), and smart infrastructure for logistics and transportation

“The goal of a smart port is to enable a more efficient, sustainable, and profitable port ecosystem that can support economic growth and regional development.”

What are Smart Port’s Digital Tools ?

Smart ports are classified as “smart” because they use a variety of digital tools to optimise their operations. These include:

  1. Sensors: Smart ports often use sensors to monitor various aspects of their operations, such as cargo movement, traffic flow, environmental conditions, and security. These sensors can provide real-time data that can be used to optimize operations and improve decision-making.
  2. Data analytics: Smart ports use data analytics to process and analyse the data collected from sensors and other sources, such as shipping manifests and customs declarations. This data can be used to identify trends, patterns, and opportunities for improvement.
  3. Automation: Smart ports may use automation technologies such as robots, drones, and self-driving vehicles to improve the efficiency and accuracy of certain tasks, such as cargo handling and inspection.
  4. Digital platforms: Smart ports may use digital platforms, such as cloud computing, blockchain, digital twins and internet of things (IoT) technologies, to connect various stakeholders and enable more efficient and transparent communication and collaboration.
  5. Clean technologies: Smart ports can incentivize the use of cleaner technologies, such as electric vehicles and renewable energy sources, to reduce the environmental impact of port operations.
  6. Energy efficiency measures: Smart ports can implement energy efficiency measures, such as LED lighting and energy-efficient systems, to reduce energy consumption and greenhouse gas emissions.

Why? For cleaner, greener ports

The use of digital tools helps smart ports reduce costs, improve service quality, and increase agility and responsiveness to market demands. There is no doubt about it. However, another characteristic of a smart port is its emphasis on sustainable operations and the creation of a greener port.

Below you can find some elements that help characterise a smart port that as “green”:

  1. Promoting recycling and waste reduction: Smart ports can implement recycling programs and encourage the use of reusable containers and packaging materials to reduce waste and improve resource efficiency.
  2. The use of renewable energy: Smart ports can use a variety of renewable energy sources to power their operations, including
    1. Solar power: Smart ports can install solar panels on rooftops, car parks, and other suitable areas to generate electricity from the sun.
    2. Wind power: Smart ports can install wind turbines on land or offshore to generate electricity from wind.
    3. Hydroelectric power: Smart ports located near rivers or oceans can use the flow of water to generate electricity through hydroelectric power plants.
    4. Geothermal power: Smart ports can use geothermal energy, which is generated from the Earth’s internal heat, to generate electricity and heat buildings.
    5. Biomass: Smart ports can use biomass, such as wood chips or agricultural waste, to generate electricity through combustion or anaerobic digestion.
  3. The use of electric vehicles: Many ports have begun to use electric vehicles, cranes and container stackers within their terminals to minimise emissions and ensure cleaner air around the port community area. By providing multiple charging points, smart ports make it easier for the port community companies to operate these clean energy vehicles.

Overall, reducing waste and emissions is an important aspect of sustainable port operations and helps smart ports contribute to global efforts to combat climate change and protect the environment.

Sources:

Smart Cities

What does living in smart cities mean for privacy?

In the 2000s we are witnessing an exponential growth of the use of information technologies – smart cities or smart ports are becoming the norm. These are slowly pervading all aspects of modern life, including smart refrigerators, smart doorbells, smart plugs, smart bathrooms, etc. The revolution has also affected a larger societal section, with smart cities and smart ports also gaining traction in progress. We have already talked about certain smart technologies that affect port operations, such as Digital Twins, Drones and Smart Containers. Nevertheless, we haven’t yet asked the question: What does this spread of smart technologies mean for us as individuals?

This month, we have caught up with Brad Smith from Turn on VPN to talk about what these advancements mean for our privacy.

If you would like to know more about what VPNs are, check out the guide written by VPN Thrive.

Then, have a look at the article by Brad Smith, reproduced below: 

 

Written by: Brad Smith

Written by: Brad Smith

The idea behind a smart city is one where technology is extensively used to improve the quality of life of people living in an urban area and ease the provision of everyday services. This can mean sophisticated connectivity across the city, automated systems, highly available online resources and so much more.

However, this kind of setup also comes with a few challenges that aren’t normally so pronounced in a traditional city with privacy being the biggest one. How does living in a modern city affect people’s rights to privacy especially in places where privacy laws are not that strict?

Smart cities trends and their privacy implications

There are certainly many components that make a modern smart city in 2020, especially the ones that are built from the ground up. However, three of them do stand out in the way they affect your privacy as you go about your day to day life. Also, keep in mind that some of these technologies have been heavily deployed in traditional cities.

Increased citywide public surveillance and tracking

There is a lot of interest in using citywide public surveillance systems in smart cities across the world. These technologies have especially taken centerstage in the Middle East, China, and some European countries. Sophisticated public surveillance and tracking technologies are being deployed in smart cities to help the authorities in enforcement efforts and for other reasons.

However, such technologies, though useful in some places, do raise a lot of questions in the way they are deployed and how they are used especially with privacy and personal freedom in focus. Indeed, the debate around citywide surveillance has attracted some fair amount of controversy with some progressive governments even going as far as banning the use of these technologies in public.

Citywide connectivity and high-speed internet

The rolling out of 5G and other connectivity solutions in smart cities is integral to their development. A smart city without a stable, high-speed internet that is accessible to everyone is not a smart city. Today, even traditional cities that are trying to transition into modern cities have put a lot of resources into communication technologies such as 5G, public Wi-Fi, and other supporting infrastructure.

Government services moving to the cloud 

A smart city must have a big percentage of government services available via the internet. Indeed, most smart city projects today are geared towards moving entire government services to the cloud. This of course means an increase in data collection.

Increased popularity of smart ports

Another smart city trend is the invention of smart ports. A smart port is one that makes use of automation and innovative technology such as the Internet of Things (IoT), Artificial Intelligence (AI), blockchain, and Big Data to improve performance. The industry of container shipping and ports has been slow on the uptake in embracing change. Still, new systems, solutions, and technologies are emerging that will change the face of shipping in the future, ensuring the sector is more connected than ever before.

The smart port aims to generate transparent and efficient services that add value to the clients. An intelligent port features automated management of all entries and exits at the terminals, monitoring, and managing queues. The smart port removes the need for paperwork during container deliveries and collections, as well as automatic lighting.

In port cities like Montreal, emerging technologies provide useful real-time data for lorries to help them plan their trips and avoid traffic congestions, and lower carbon emissions.

This real-time data and smart sensors go a long way in monitoring crucial infrastructure, enabling the port operators to schedule predictive maintenance and reduce the need for yearly inspections. The data from the sensors, such as pile head sensors in the quays, allows the ports to track the eventual tear and tear and track the impact of cargo yet to be unloaded.

Privacy concerns over today’s smart cities

All of the technologies being deployed in smart cities today require the collection of data on a large scale. This, as expected, raises a lot of questions in terms of privacy going forward for people living in these so-called smart cities. How do you ensure that your right to privacy isn’t lost when everything’s made to collect your data?

Ways to protect your privacy

One way to stay private is to use tools like a VPN or encrypted messaging software. One of the major functions of VPNs is to encrypt your data and online traffic. This is especially important when you want to stay anonymous while connecting to public networks. With a messaging app that offers end-to-end encryption, you can also keep your conversations private.

There is no doubt that living in a smart city is more convenient and sustainable than in a traditional one. As you enjoy all the benefits that come with the advanced connectivity in these urban dwellings, don’t forget the importance of staying private.

Artificial Intelligence

Shipowners Still Not Ready to Give Up Control to Autonomous Vessels

Shipowners seem to be hesitant to relinquish control of their vessels in favor of autonomous solutions, as they trust their captains and crews more than smart technology.

In general, the shipping industry’s approach to new technologies has been described as “conservative“, especially when it comes to autonomous solutions that could theoretically replace the crew.

This has led to the slow adoption of solutions that are vital to reducing collisions, Yarden Gross, CEO of Orca AI revealed in an interview with World Maritime News.

In order to overcome the maritime industry’s fear of new technology adoption, the company has designed the Orca AI system to be “a tool that the crews can use, not to replace the crew.”

Established in 2018, Orca AI has the vision to reduce human-caused errors through intelligent autonomous vessels. The company was founded by Yarden Gross and Dor Raviv, who both have served in the navy and know the industry and its needs.

“We realized that despite the technological advances being adopted for other modes of transport, the shipping industry is lagging behind. This is due to a variety of factors, including that the maritime environment requires navigation and collision avoidance technology, which need to be specifically suited to the industry and that’s what we seek to provide,” Gross said.

“We want to help create an ecosystem that will lead us to autonomous ships while keeping in mind that we’re not quite there yet.”

He added that there are things that need to be done to improve safety now — providing collision avoidance technology that works for ships.

As informed, 3,000 marine collisions occur each year and more than 75% are due to errors in human judgment. According to Gross, this is alarming as current navigational tools require a significant reliance on human judgment, which leaves room for costly error.

“Our immediate goal was to create a solution that would help ships use AI safely navigate zero and extremely low visibility conditions and crowded waterways, where the majority of collisions take place. Our solution minimizes the opportunity for errors in judgment, thereby reducing the chances of collisions.”

Orca AI system

Specifically, the Orca AI system uses sensors already on board a vessel and adds separate ones as well, such as thermal and low-light cameras, and feeds the information into an AI-powered navigation system.

The system was designed to be easy to use and intuitive, given that the crew manning the bridge is occupied with a myriad of responsibilities, so the system enables them to make smarter navigation decisions more easily. There is no training required to operate the system and it doesn’t add extra work for the crew, Yarden said.

As visibility issues are common and a big contributing factor in naval collisions, Orca AI founders said they decided to tackle that issue right from the start with sensors designed for situations with poor visibility. Orca AI is currently operational and providing crews with crucial information in piloted installations on board vessels. Those pilots are continuing as the company develops new versions of the system.

Installation

Orca AI has been installed and piloted onboard several car carriers owned by Ray Carriers, the company’s first client and key investor.

Data from the voyages that have been taken since the system installation are still being analyzed, but so far everything is looking promising, Orca AI’s co-founder said.

The Orca AI system can be used on any vessel – size is not an issue, as the sensor payload is not very large or intrusive. However, the company is focusing on larger vessels first, as the challenges of collision avoidance and costs of collisions are most pronounced for this class of ships.

“Orca AI’s navigation system is fit for all types of vessels, using information from sensors already on board and supplementing them with cameras of their own in a relatively small payload. We are looking forward to working with different classes of ships, helping them safely navigate crowded waterways and avoid collisions in hard-to-see situations where their difficulty in rapidly adjusting course makes early detection of other ships a priority,” Gross told WMN.

When asked what are the prerequisites for the installation of the Orca AI solution, Gross pointed out that there are no impediments to installing the system on any ship type. The installation is said to be straightforward and the system is easy to integrate on the bridge, so the age of the ship has no impact on the process.

AI and the maritime industry

Several autonomous vessels projects are currently being developed around the world. As informed, Orca AI is in discussions with the large technology providers that are building the eco-system for the future of autonomous vessels. Gross noted that these companies understand that they cannot build everything by themselves, so they are seeking partners to collaborate with.

“An autonomous vessels are like a puzzle, there are many crucial pieces that all need to fit together, and we are trying to build the best technology in the world for one of the most important pieces of the puzzle,” according to Gross.

Artificial Intelligence, which has been the buzzword over the recent time, is becoming increasingly important for the maritime industry as well.

“AI is a tool for solving problems that have been hard to solve until now. For the maritime industry, it is enabling us to tackle issues such as detection of ships and other items on the water, and alerting and assisting the captain and the crew with the navigation of the ship,” Gross said, adding that AI is also helping solve many more problems in the industry such as logistics, predictive maintenance, internal operations, etc.

“I think that for certain use cases AI is already able to provide real value, and as the maritime industry continues to adopt AI solutions and develop them, we will see increased efficiency and safety, as well as seeing a reduction of costs across the board,” Gross concluded.

At the end of January 2019, Orca AI closed a funding round, raising USD 2.6 million. With the help of the new funds, the company plans to grow its engineering ranks and establish an office in Europe this year.

Orca AI’s key steps for moving forward will be to continue installation of the company’s system onboard more ships, which has so far proved to be a major success. Additional partnerships with other shipping companies are currently in the works and Orca AI is ramping up production to meet the growing demand.

Source: World Maritime News

Automation forces Spain to introduce structural changes in logistics

The transport and logistics sectors are currently in the process of automation. In the coming decades it will undergo deeper transformations, which will test the reaction capacities of countries such as Spain. “We must be creative in changing our way of thinking. There is a lot of work to be done in the short term, in short electoral cycles, by survey, and there are structural changes that must be applied in the medium and long term, “says Inprous CEO and president of Pimec Logística, Ignasi Sayol.

For his part Miquel Serracanta, the founder of the consulting firm Solutions & Decisions, put the emphasis on how the increase in competition “has caused a very important fall in prices both in the trunk and in capillary transport”, so that the carriers that have increased in size have started to search for synergies and efficiencies in their supply chains in parallel. For this reason, he considers that it is necessary to prepare for changes such as the electric and autonomous vehicles, since “they will substantially modify our environment in the next ten years”.

Globally, transformations will involve changes in jobs and new trends will be developed that will improve the efficiency of deliveries. Although technological advances will be inevitable, they will occur gradually and will vary according to the region. These are some of the results published in the new report prepared by the International Transport Workers’ Federation (ITF) and the World Maritime University (WMU).

Evolution vs Revolution

Although the report foresees that the automation of global transport is more “evolutionary” than “revolutionary”, Sayol affirms that “the irruption of technology in logistics will radically change the way we do things”. Gradual changes are expected in transport patterns that will affect the different regions of the world. According to Serracanta, autonomous vehicles “will not arrive for another five or ten years and will do so progressively, coexisting therefore, with difficulties, with vehicles driven by humans.”

The partner founder of Solutions & Decisions foresees that automation will make roads safer and that fewer accidents and traffic jams will occur, “with which the reliability of compliance with deliveries will increase”.

Sayol points out that logistics 4.0 will be an opportunity for developing countries, “because they can implement it without the mortgages that exist in developed countries.”

“Automation will probably reduce the differences between developed and developing countries in the medium and long term, once the latter can be added to the technology train,” says Serracanta. However, it considers that in the short term it is possible to increase them, especially in terms of road and rail transport: “Those who are in the process of development may not be able to start this road yet due to previous pending issues, as indispensable basic infrastructures”.
Worldwide, it is expected that transportation routes will also change if situations such as a hypothetical stagnation of China or the growth of Mexico are consolidated. If confirmed these trends, directly affect the GDP of the countries. However, this forecast does not apply to long-distance maritime transport, which will continue to be the main means in terms of scale and volume of goods transported. In contrast, a reduction in road transport is expected both in the EU and in the countries of Southeast Asia, as well as growth in the maritime sector, because “it is still in an early stage of transformation,” according to the study.
The Impact of Automation on employment
Automation will impact the transport sector through the destruction, displacement and creation of jobs. Workers will be affected differently according to their level of skill and preparation, with the least educated being the most affected. This will require the retraining of professionals such as cargo agents and crane operators so that they can work complementarily with this technology, notes the report of the International Transport Workers Federation (ITF) and the World Maritime University (WMU). However, despite the high levels of automation, human resources will still be necessary, especially in cases where people provide additional value.
“The challenge will be twofold, for the companies that have them on staff and for the worker himself, who must improve his own employability with additional training if he does not want to lose possibilities in his current and future position,” says Serracanta. “The repetitive tasks and added low value are the first at risk of being replaced by robots, and workers who today are the first to be recycled.” In fact, today automated metro lines are already operating, such as the one that connects the city of Barcelona with its airport, or the one that connects the two passenger terminals of the Frankfurt airport in Germany.
Logistics 4.0
In addition to the automation of vehicles, infrastructures and processes, the new logistics 4.0 will allow technologies such as Big Data or artificial intelligence to be progressively applied to know what the client wants, anticipate demand and position stocks at the suitable point. “It sounds like science fiction, but it’s already a reality,” says Sayol.
The CEO of Inprous also includes the internet of things (IoT) and blockchain in this group, which “will enable the creation of dis-intermediated and efficient marketplaces that allow for optimisation and secures the available transport resources”. Finally, “more complex technologies to apply in reality” will exist, including platooning. “Here the time horizon of implementation is more difficult to get right, as it is subject to the legislation of each country and investments in infrastructure that inevitably must be made,” he explains.
According to Serracanta, this automation and logistics 4.0 will also allow for the “reduction of consumption and fuelling of large trucks, because they are more efficient than humans, with which there will be less CO2 emissions and the environment will appreciate it”. Thus, an evolution is foreseen in the logistics transport sector that will bring economic benefits and that will entail new regulations, a greater technological preparation and the development of new skills and dynamics in the labor market.
Source: El Mercantil

Artificial intelligence: Ports are beginning to take up positions

Artificial intelligence (AI) is an affordable technology, although it is only slowly being introduced into the business sector. Thus far, it has primarily been used to improve sales prediction techniques, but its potential applications are infinite and include lowering maintenance costs, improving product quality, planning manufacturing and increasing service level. In the sphere of transport, AI opens up a host of possibilities. Will the ports take advantage of them?

Today, the ports of Hamburg, Rotterdam and Singapore have already started to develop AI tools to improve predictions of maritime and land transport operations. Specifically, Hamburg has created a decision-making support system based on a predictive model of the behaviour of land transport. The model takes historical data, and using deep learning techniques and neural networks, it offers detailed predictions of the times when lorries should reach terminals. Based on this, the system notifies the lorry drivers of the terminal entrance times, and it gives the terminals a dynamic forecast of the workload they will have according to the changes in the surrounding conditions (road and access route saturation, real ship arrival time, degree of terminal saturation, etc.).

HOW DOES DEEP LEARNING WORK?

Deep learning and neural networks are two of the machine-learning methods which have come to the fore the most in recent years. They are inspired by the way neural networks work in the brain. They transform the entry values, layer by layer, until the value of the variables that they are trying to predict is found. Even though the results of neural networks are quite satisfactory, they need vast amounts of data to learn, and learning times are long (days or even weeks). Natural language processing, image pattern recognition and voice processing are the main success stories of deep learning. Thus, the evolution of data collection and management has to include the following levels: recording, analysing, simulating, predicting and finally recommending. Based on that, new-generation ports are expected to apply predictive and prescriptive analysis techniques as tools to support decision-making when planning the transport of the actors in the port-logistics chain. And this does not only include lorries, since the same transport logistics that it applied on motorways can also be applied to any means of transport (railway, maritime or river).

New-generation ports are expected to apply predictive and prescriptive analysis techniques as tools to support decision-making when planning the transport of the actors in the port-logistics chain.
The digital transformation in the port and the logistics chain entails huge amounts of data, many of them in real time. The competitiveness of future ports will largely depend on their ability to make use of this information. With AI tools that enable them to take advantage of the potentiality of this vast trove of data, the decisions taken by the managers will be higher quality, shared and generated more quickly, so they will likely optimise the time, cost and reliability of the operations in port-logistics environments. In a complementary fashion, all of this will end up leading to more flexible, real-time operations management. AI has reached the world of transport, and it is here to stay. The ports which realised its benefits and potentiality to change the sector first will unquestionably see operational efficiency gains compared to their competitors. Ports that already have advanced systems that allow them to gather a significant amount of data (Port Community Systems, Port Management Systems and Terminal Operating Systems, among other systems) will be the best poised to successfully incorporate the tools offered by artificial intelligence.

Ports that already have advanced systems that allow them to gather a significant amount of data will be the best poised to successfully incorporate the tools offered by artificial intelligence

THE ORIGINS OF ARTIFICIAL INTELLIGENCE

Even though it seems like a recent concept, the origins of artificial intelligence date back to the Greeks. Aristotle (384-322 BC) was the first to determine a set of rules that partly describes the way the mind works to reach rational conclusions, and Ctesibius of Alexandria (285-222 BC) built the first self-controlled machine, a water-flow regulator (rational, but without the ability to reason). John McCarthy, Marvin Minsky and Claude Shannon coined the term artificial intelligence at the Dartmouth Workshop (USA) in 1956 to refer to the “science and inventiveness of making intelligent machines, especially intelligent calculation programmes”. Where these three scientists missed the mark was in their prediction of when the first smart machines would arrive. They trusted that by the 1970s we would be surrounded by artificial intelligence. However, the majority of tech companies did not decide to make significant investments in this field until the 1990s and 2000s, in a bid to improve the processing and analytical capacity of the vast amounts of data which were being generated in the new digital world. In fact, AI was definitively enshrined in 1997, when IBM demonstrated that an IT system was capable of beating a human at chess. And it wasn’t just any human; it was the world champion, Garry Kasparov. The supercomputer was called Deep Blue, and it marked the turning point when industrial technology and society at large became aware of the real importance and possibilities of artificial intelligence.

Source: PierNext 

Tag Archive for: Artificial Intelligence

Aplicación de la IA en la gestión financiera y administrativa

Este curso ofrece una formación para los que buscan liderar la transformación digital en sus organizaciones a través de la implementación IA en sus operaciones de gestión financiera y administrativa en la comunidad portuaria de Barcelona.