Mediaboss Marketing

"How do we want to be remembered in history? As simple consumers? Or as transformers of our potential and resources?" With this question, Kate Fotso, the boss of Cameroon's Telcar Cocoa, sums up the challenge that Africa must take up to build its economic independence. This debate, at the heart of the Africa CEO Forum held in Abidjan, was discussed during a round table on 13 June.

The starting point is clear: Africas dependence on the outside world is greater than that of other continents, with 84% of its trade being with the rest of the world. It is no coincidence that Africa, the continent that trades the least internally, is also the poorest, pointed out Ghanas President Nana Akufo-Addo, seeing the development of the African Continental Free Trade Area (AfCFTA) as the only way out for African countries.

A few moments earlier, at the opening ceremony, Cte dIvoires President Alassane Ouattara said much the same thing. The current crisis has revealed the vulnerabilities [of globalisation] and marks a calling into question of international trade. This is very disturbing for developing countries, the Ivorian head of state warned.

In a difficult context linked to the consequences of the pandemic and the war in Ukraine, Makhtar Diop, managing director of the International Finance Corporation, the World Banks private-sector arm, insisted on the need to accelerate cooperation between public and private actors via targeted discussions, highlighting three priority sectors: fintech, food and housing.

Two other tools were highlighted. Nigerias vice-president Yemi Osinbajo called for an overhaul of global taxation, particularly for multinationals, to make it more favourable to the continent. The governor of the central bank of Kenya, Patrick Ngugi Njoroge, reminded the audience of the urgent need to invest in human capital, given that some of the jobs of the future have yet to be invented.

While the continent has not been able to take party fulling in the latest revolutions and industrial innovations, including nuclear power, Karim Beguir, the head of the Tunisian start-up Instadeep, stressed that with artificial intelligence, it will have every chance, as technologies and know-how are freely available. All it takes is motivated people to train to bring out African talent, he added.

Understand Africa's tomorrow... today

We believe that Africa is poorly represented, and badly under-estimated. Beyond the vast opportunity manifest in African markets, we highlight people who make a difference; leaders turning the tide, youth driving change, and an indefatigable business community. That is what we believe will change the continent, and that is what we report on. With hard-hitting investigations, innovative analysis and deep dives into countries and sectors, The Africa Report delivers the insight you need.

The rest is here:
Africa CEO Forum: Artificial intelligence, taxation, AfCFTA the tools of independence - The Africa Report

You have viewed over 50 articles in the last 12 months.

Support insidethegames.biz for as little as 10

For nearly 15 years now, insidethegames.biz has been at the forefront of reporting fearlessly on what happens in the Olympic Movement. As the first website not to be placed behind a paywall, we have made news about the International Olympic Committee, the Olympic and Paralympic Games, the Commonwealth Games and other major events more accessible than ever to everybody.

insidethegames.biz has established a global reputation for the excellence of its reporting and breadth of its coverage. For many of our readers from more than 200 countries and territories around the world the website is a vital part of their daily lives. The ping of our free daily email alert, sent every morning at 6.30am UK time 365 days a year, landing in their inbox, is as a familiar part of their day as their first cup of coffee.

Even during the worst times of the COVID-19 pandemic, insidethegames.biz maintained its high standard of reporting on all the news from around the globe on a daily basis. We were the first publication in the world to signal the threat that the Olympic Movement faced from the coronavirus and have provided unparalleled coverage of the pandemic since.

As the world begins to emerge from the COVID crisis, insidethegames.biz would like to invite you to help us on our journey by funding our independent journalism. Your vital support would mean we can continue to report so comprehensively on the Olympic Movement and the events that shape it. It would mean we can keep our website open for everyone. Last year, nearly 25 million people read insidethegames.biz, making us by far the biggest source of independent news on what is happening in world sport.

Every contribution, however big or small, will help maintain and improve our worldwide coverage in the year ahead. Our small and dedicated team were extremely busy last year covering the re-arranged Olympic and Paralympic Games in Tokyo, an unprecedented logistical challenge that stretched our tight resources to the limit.

The remainder of 2022 is not going to be any less busy, or less challenging. We had the Winter Olympic and Paralympic Games in Beijing, where we sent a team of four reporters, and coming up are the Commonwealth Games in Birmingham, the Summer World University and Asian Games in China, the World Games in Alabama and multiple World Championships. Plus, of course, there is the FIFA World Cup in Qatar.

Unlike many others, insidethegames.biz is available for everyone to read, regardless of what they can afford to pay. We do this because we believe that sport belongs to everybody, and everybody should be able to read information regardless of their financial situation. While others try to benefit financially from information, we are committed to sharing it with as many people as possible. The greater the number of people that can keep up to date with global events, and understand their impact, the more sport will be forced to be transparent.

Support insidethegames.biz for as little as 10 - it only takes a minute. If you can, please consider supporting us with a regular amount each month. Thank you.

Read more

Continue reading here:
WADA investigating using artificial intelligence to carry out drugs testing, but lack of resources hampering efforts - Insidethegames.biz

An artificial intelligence program has developed its own language and no one can understand it.

OpenAI is anartificial intelligencesystems developer their programs are fantastic examples of super-computing but there are quirks.

DALLE-E2 isOpenAIs latest AI system it can generate realistic or artistic images from user-entered text descriptions.

DALLE-E2 represents a milestone in machine learning OpenAIs site says the program learned the relationship between images and the text used to describe them.

A DALLE-E2 demonstration includesinteractive keywordsfor visiting users to play with and generate images toggling different keywords will result in different images, styles, and subjects.

But the system has one strange behavior itswritingits own language of random arrangements of letters, and researchers dont know why.

Giannis Daras, a computer science Ph.D. student at the University of Texas, published aTwitter threaddetailing DALLE-E2s unexplained new language.

Daras told DALLE-E2 to create an image of farmers talking about vegetables and the program did so, but the farmers speech read vicootes some unknown AI word.

Darasfedvicootes back into the DALLE-E2 system and got back pictures of vegetables.

We then feed the words: Apoploe vesrreaitars and we get birds. Daras wrote on Twitter.

It seems that the farmers are talking about birds, messing with their vegetables!

Stay up on the very latest with Evening Update.

Daras and a co-author have written apaperon DALLE-E2s hidden vocabulary.

They acknowledge that telling DALLE-E2 to generate images of words the command an image of the word airplane is Daras example normally results in DALLE-E2 spitting out gibberish text.

When plugged back into DALLE-E2, that gibberish text will result in images of airplanes which says something about the way DALLE-E2 talks to and thinks of itself.

Some AI researchers argued that DALLE-E2s gibberish text is random noise.

Hopefully, we dont come to find the DALLE-E2s second language was a security flaw that needed patching after its too late.

This article originally appeared onThe Sunand was reproduced here with permission.

Read this article:
Artificial intelligence spotted inventing its own creepy language - New York Post

Welcome to the age of blended workforces, where intelligent machines and humans combine to accelerate business success.

Human Vs. Artificial Intelligence: Why Finding The Right Balance Is Key To Success

In short, now that we have increasingly capable robots and artificial intelligence (AI) systems capable of taking on tasks that were previously the sole domain of humans its easier than ever for organizations to leverage intelligent machines. But this leaves employers with some major questions to answer: how do we find the right balance between intelligent machines and human intelligence? What roles should be given over to machines? And which roles are best suited to humans?

The first step: Understanding what machines can do

Particularly in traditional companies, business leaders often arent up to speed on the sheer range of tasks that todays AIs and intelligent robots can take on. (In fact, I spend a lot of time educating executives in this area.) This knowledge is key to finding the right balance between humans and machines in your organization.

Some of the things AIs and AI-enabled robots can do are pretty mind-blowing. For example, AIs can now read, write, see, speak and even understand emotions. While this sounds impressive, AIs are, for the most part, taking one type of input (be it visual data, written data, or whatever) and generating a particular output, as programmed. Once you understand this basic input-to-output idea, theres potential to automate all sorts of tasks that follow this same model, such as scanning security videos for suspicious behavior, moderating content online, answering simple customer inquiries, entering data, and maintaining bookkeeping records, and so on.

As Stanford professor Andrew NG puts it, If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future. In other words, human jobs that are built on some sort of input-to-output scenario are very likely to be automated in the future.

So what will happen to human workers?

In light of this incoming wave of automation, the work of humans will be affected in three key ways:

Displacement of human jobs. According to the World Economic Forums Future of Jobs Report 2020, 85 million jobs may be displaced by automation by 2025 truly a staggering figure. Naturally, this creates a lot of fear around automation. But while many jobs will be displaced, its important to note that even more jobs will be augmented or created because of technology adoption. Which brings us to

Augmentation of human jobs. Here, many jobs will be changed in some way by automation. According to the WEF, by 2025, the time spent on current tasks at work by humans and machines will be equal. This means employers must find the perfect balance between those tasks done by humans and those done by machines. To put it another way, we need to ensure the work given to machines is best suited to machines, and the work given to humans is best suited to humans (so humans dont end up feeling like machines).

Addition of new human jobs. Finally, new jobs will arise that previously did not exist. While the WEF estimates that 85 million jobs may be displaced, it also estimates that 97 million new roles may emerge roles that are better adapted to the new division of labor between humans and machines. These new human roles are likely to rely on a slightly different set of skills and capabilities, compared to those skills that have traditionally been prioritized in the past.

All this means employers have a responsibility to equip their workforces with the skills needed for the fourth industrial revolution. What sort of skills are we talking about? Well, with machines taking on more of the easily automated input-to-output work, its the inherently human skills that will become more and more valuable in the workplace. Things like empathy, creativity, critical thinking, emotional intelligence, communication, and complex decision making, to name just a few.

Responsible automation in practice

Stitch Fix is a fashion subscription box that uses AI to pick out clothes that customers will love. But the company doesnt just rely on AI to do this; its the perfect blend of AI and human stylists that makes the service so impressive.

At Stitch Fix, machines do the initial work of crunching through enormous amounts of data and evaluating the likelihood of a customer loving a particular style, based on the customers information, preferences and previous choices. Then a human stylist finalizes the selection and writes a personal note advising the client on how to style the items.

For me, this is a fantastic example of getting the best out of both machines and humans, and its something many organizations could learn from. This perfect symbiosis between intelligent machines and capable humans is referred to by automation pioneers Faethm as responsible automation. Faethm is on a mission to ensure automation is done in a way that doesnt leave humans behind, and the companys approach involves breaking jobs down into task fractions to see what can and cant be automated. Done this way, automation at least according to Faethm doesnt have to result in job losses. Instead, humans transition to more rewarding tasks.

The key takeaway here is that organizations must start to identify the tasks that are better suited to machines so that those tasks can be automated, leaving humans to do the more complex, rewarding work. And on top of this, employers must equip their workforces with the skills that will be essential for success in the 21st century.

To stay on top of the latest business and tech trends, subscribe to my newsletter and check out my books, Business Trends in Practice: The 25+ Trends That are Redefining Organizations, which has just won the Business Book of the Year 2022 award, and my new book Future Skills: The 20 skills and competencies everyone needs to succeed in a digital world. And of course, you can follow me on Twitter, LinkedIn, and YouTube and explore my website for more content.

Originally posted here:
Human Vs. Artificial Intelligence: Why Finding The Right Balance Is Key To Success - Forbes

Artificial Intelligence has definitely made our lives easier in multiple ways. We can access multiple benefits right through our smartphones with the power of digital assistants like Google Assistant, Siri, Alexa, and more.

In todays world, multiple industries such as healthcare, e-commerce, financial services, etc., are leveraging the benefits of AI to the fullest of its potential. The technology has helped businesses grow in leaps and bounds with improved quality, security, and efficiency.

However, it is observed that engineering and construction are lagging behind in implementing artificial intelligence and machine learning solutions. The construction industry is worth more than $10 trillion a year.

Due to the complex challenges that the construction industry faces, the growth in the industry is severely limited. Dealing with challenges like cost and time overruns, labor shortage, health and safety, and productivity can bring revolution in the industry.

The construction industry has tremendous potential, and just by digitization, economically, the worth of the construction industry can be raised to $1.6 trillion a year. AI in construction can be instrumental in bringing this shift.

According to a report, Artificial Intelligence in the construction market is estimated to generate a revenue of $ 2,642.4 million by 2026, at a compound annual growth rate of 26.3% from 2019 to 2026. Technological advancements in AI and the Internet of Things (IoT) will create more opportunities for growth in construction and engineering.

Artificial Intelligence in the construction industry is undergoing a digital transformation. Focussing on technologies like artificial intelligence and machine learning at every stage of engineering and construction, from design to preconstruction to construction to operations and asset management, is exploiting the potential of the construction industry to new levels.

The areas where artificial intelligence in the construction industry is bringing impactful difference by getting the tasks done in a lesser amount of time and in a cost-effective manner.

Planning and designing sub-segment of construction are expected to benefit the most. In the global construction industry, the Europe market is anticipated to top the growth rate.

This technological shift is set to positively impact all the stakeholders across the project including contractors, owners, and service providers. With other adjacent industries such as transportation and manufacturing having already started working as an ecosystem, it becomes all the more important for the construction industry to adapt to the digitization of the processes.

As the technological shift is at a nascent stage in the engineering and construction industry, it will be advantageous for the companies that upgrade the technology. With artificial intelligence in construction, companies can comfortably tackle current issues while avoiding past mistakes.

With the use of statistical techniques of machine learning in construction, it becomes much more convenient and less time-consuming to scrutinize the data pertaining to changed orders, information requests, etc. This will help in proactively alerting the project leaders about the things that need critical attention. Safety monitoring also can be done with more efficiency.

We have established that AI is a critical component of modern engineering and construction approaches. Artificial intelligence in construction helps the industry solve its greatest challenges like cost and schedule overruns and safety issues. AI can be exploited throughout the construction project from inception and design, bidding, financing, transportation management, and operation and asset management.

Let us look in detail at how is AI being used in the construction industry:

AI-based Building Information Modeling (BIM) process has been helping architecture, engineering, and construction professionals make 3D model designs to plan efficiently, design, build, and repair the buildings and infrastructures.

With machine learning in construction, the industry uses AI-powered generative design to identify and collaborate the architecture, engineering, mechanical, electrical, and plumbing plan to ensure that there are no clashes within the sub-teams. Such measures mitigate the risk of rework. The algorithm of ML explores all the options and variations of the solutions to create design alternatives. Models with multiple variations are created and learned from each iteration, and this process is repeated until a perfect model is created.

It is expected that the planning and design sub-segment will grow exponentially with a CAGR of 28.9% between 2019 and 2026.

Construction companies can use AI-powered robots that are equipped with cameras. These robots can move autonomously through the construction site to capture 3D pictures.

With the help of neural networks, these pictures can be cross-checked with reference to the information from BIM and the bill of materials. The engineers managing large projects utilize this information to keep track of the progress of the work. It also helps identify quality errors at an early stage and keep a tap on financial information and time schedules.

It will not be an exaggeration to say that robotics and AI in the construction industry are ensuring the delivery of the best construction projects while saving costs and time.

Construction companies are exploiting the features of the Internet of Things (IoT) to manage the fleets of equipment and vehicles. With the inputs from the AI metrics, IoT provides solutions like location awareness, predictive maintenance capabilities, fuel and battery consumption, and much more.

With IoT devices and tags, it is now possible to predict the equipment breakdown possibility, which is an invaluable tool that saves time and money.

Construction sites are prone to accidents for various reasons. Analyzing and predicting risks with machine learning can avoid many such accidents. Monitoring the sources like photos and videos through the software can flag the potential risk that the site manager can address at the right time.

Reports pertaining to potential safety risks, such as unsafe scaffolding, waterlogging, and personnel missing protective equipment like gloves, helmets, and safety glasses, can be accessed by the user to rank the projects.

As mentioned in the introduction, there exists huge scope for tapping the potential of AI in construction management. There always is a dearth of labor in the construction industry as it involves risks and is a physically demanding job. The average turnover rate in the construction field is way more than in any other industry.

In such a scenario, AI-powered robots empower the project managers to oversee the real-time situation and resource requirements of multiple job sites. Based on the requirements, labor can be shifted to either a different part of the project or a different job site. The robots monitor the site to find the pain areas.

Companies that want to stay ahead in this competitive edge should quickly upgrade their technology. Smart construction can be enabled by incorporating AI. Lets explore how AI in construction is significant.

The current process of construction design is outdated and thus slow. By taking insights from building data, material data, and environmental data, you can optimize your project design.

When done manually, the building process tasks are tedious, time-consuming, and error-prone. The project manager spends most of his time assigning work and managing employee records.

However, Artificial intelligence can automate many such mundane tasks that can be performed with minimal or zero errors. AI automation can additionally take care of task delegation based on the data gathered from the employees. This not only streamlines the workflow process but also encourages workers to focus on their field of expertise.

With camera-enabled robots or AI-enabled construction equipment, data can be collected in different formats. By feeding these details into the deep neural network, the projects progress can automatically be classified from various aspects.

Such data empowers the management to know and address the minutest error or problem in the initial stage mitigating the subsequent major issues.

Employing self-driving construction machines can perform repetitive tasks tirelessly, efficiently, and quickly, such as welding, bricklaying, pouring concrete, etc.

Similarly, you can employ automated or semi-automated bulldozers for excavation and pre-work. Once the exact specifications are fed into these machines, they complete the job exactly as per the specifications. You can free up your human workforce for actual construction work and reduce the human risks involved in performing these tasks.

You can dramatically reduce the time in performing the land surveys in detail and taking aerial photos of the job site for better project management. With the help of drones, Geospatial Information System (GIS) and Geospatial AI (GeoAI) will help you keep track of project progress status and problems on the construction site while leveraging you with better decision making for efficient project management.

With the inception of technology, the construction industry will have cobots and robots working alongside workers. Robots take over the tasks that can be automated, and cobots are designed to work autonomously or with limited guidance.

Such an arrangement will help speed up construction, reduce costs, injuries, and better decision-making. AI in construction will not only overcome the labor shortage issue but will also lead to alterations in business models, and reduce expensive errors, making building operations more efficient. Thus, it is advised that business leaders at construction companies should focus on investment based on areas where AI can have the maximum impact based on needs.

Early adopters of this digital transformation are sure to gain the lead in the business. Getting an edge will make them leaders in setting the direction and reaping short-term and long-term benefits.

The construction industry is lagging behind in technology adoption. Now is the right time to get your processes automated and leverage AI in civil engineering.

Harness the power of automation with Appinventiv and take your construction goals to next level with functionally beautiful building designs.

As an AI development company, our team believes in molding their expertise based on our clients requirements as we have successfully done in the past helping business transformations.

Talk to our experts to tap the full potential of Artificial Intelligence in construction with Appinventive AI and ML development services.

From planning to designing to construction, AI has been spreading its benefits in all the sub-segments of construction. Future of construction with AI will oversee the complete construction project while advising on risk management, schedule adherence, structural integrity, and much more. Harnessing the potential of AI in construction will boost the profits, and reduce the injuries and risks involved.

Sudeep Srivastava

Visit link:
AI in Construction - How Artificial Intelligence is Paving the Way for Smart Construction - Appinventiv