Siri is witty, but knows her limits!

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Back in 1956, a man called John McCarthy coined the term AI for artificial intelligence. However it is only in recent years that we have personally witnessed the benefits of AI, and its mass scale adoption by larger enterprises. One of the things that has encouraged the use of AI is the need to understand data patterns, because companies want to know much more about their target audience and Ai allows them to gain useful insights into consumer behaviour.

There is much to be gained by understanding AI, including the fact that it is segmented into ‘weak’ and ‘strong’ sectors.

WEAK AI
Weak AI is also known as Narrow AI. This covers systems set up to accomplish simple tasks or solve specific problems. Weak AI works according to the rules that are set and is bound by it. However, just because it is labelled ‘weak’ doesn’t mean it is inferior: it is extremely good at the tasks it is made for. Siri is an example of ‘Weak AI. Siri is able t hold conversations, sometimes even quite witty ones, but essentially it operates in a predefined manner. And you can experience its ‘narrowness’ when you try to make it perform a task it is not programmed to do.

Company chatbots are similar. They respond appropriately when customers ask questions, and they are accurate. The AI is even capable of managing situations that are extremely complex, but the intelligence level is restricted to providing solutions to problems that are already programmed into the system.
STRONG AI
As you can imagine, ‘Strong AI’ has much more potential, because it is set up to try to mimic the human brain.  It is so powerful that the actions performed by the system are exactly similar to the actions and decisions of a human being. It also has the understanding power and consciousness.

However, the difficulty lies in defining intelligence accurately. It is almost impossible or highly difficult to determine success or set boundaries to intelligence as far as strong AI is concerned. And that is why people still prefer the ‘weak’ version, because it does not fully encompass intelligence, instead it focuses on completing a particular task it is assigned to complete. As a result it has become tremendously popular in the finance industry.
Finance and AI
The finance industry has benefited more than many by the introduction of AI. It is used in risk assessment, fraud detection, giving financial advice, investment trading, and finance management.

Artificial Intelligence can be used in processes that involve auditing financial transactions, and it can analyse complicated tax changes.

In the future, we may find companies basing business decisions on AI, as well as forecasting consumer behaviour and adapting a business to those changes at a much faster pace.

Artificial Intelligence is going to help people and businesses make smarter decisions, but as always we need to remain mindlful of finding the right balance between humans and machines.

The everyday uses of AI

When it comes to Artificial Intelligence (AI), many of the people I talk to think that it is either something that is coming in the future, or interest in it is limited to geeks. Some see it as a negative tool that will destroy employment for people. And they are surprised when I tell them that they are probably using AI in their everyday lives already — they just aren’t aware that something like a Google search is AI based. And those adverts you keep seeing on social media because one day last week you searched for ‘holidays in the Maldives’ — that’s all down to AI.

Here are some of the everyday uses of AI that you may not be aware of. They have been compiled by 12 experts from Forbes Technology Council.

1. Customer Service

Data analytics and AI help brands anticipate what their customers want and deliver more intelligent customer experiences — better than the old call centre one anyway.

2. Personalised Shopping

When you shop online and you visit a site and look at a product, you may find you suddenly get recommendations for similar products — that’s AI.

3. Protecting Finances

For credit card companies and banks, AI is indispensible, especially in detecting fraudulent activity on your account. It saves all of us from the pain.

4. Drive Safer

You don’t need a self-driving car to use AI. For example, lane-departure warnings, adaptive cruise control and automated emergency braking are all AI functions.

5. Improving Agriculture

Agriculture is an important element of our lives, because we all want and need to eat. AI is improving this important sector with the following examples: satellites scanning farm fields to monitor crop and soil health; machine learning models that track and predict environmental impacts, like droughts; and big data to differentiate between plants and weeds for pesticide control.

6. Our Trust in Information

Trust in information is one of the most critical issues of our current times. We are bombarded with images and articles that we just don’t know if they are telling the truth or not. Experts say that AI will change how we learn and the level of trust we place in information. AI will help us identify the deep fakes and all those methods of sharing ‘fake’ information, and that is very important.

The ways in which we use AI are growing all the time — and if you think you’re not using it, you almost certainly already are.

Tech companies lose their glamour

I have been reading with interest an article by Enrique Dans about ‘The Rise and Fall of Technology Companies’, and his analysis of the latest company rankings from Glassdoor, the site that allows employees of companies in the United States to anonymously provide information about their companies. It is the go-to place for job candidates, because they can discover a lot of good info here. From a company’s perspective, what Glassdoor has to say, can potentially attract or put off new talent.

Glassdoor’s 2020 league table is out, and while some people may complain about the way it collects data, one thing is clear this year, technology companies are losing their glamour. You might be surprised to find that both Apple and Google have dropped their positions: indeed, Google isn’t even in the Top 10 companies to work for. Facebook has dropped 16 places and Amazon isn’t even in the Top 100.

The popular perception is that these companies offer such amazing perks in-house that every young person would want to work there. Having said that, Amazon is fast becoming seen as something of a rogue employer that treats its staff, especially those who make sure we all get our orders, as slave labour.

The magic has gone

Dans says that the Glassdoor league table reflects what the media has been saying for some time. That the big tech companies are losing their mythical status. Indeed, when I use the word ‘glamour’ in this context, it is quite appropriate, as the word originally comes from the Scots in the 17th century and meant “a magic spell.” So, you can see why I say they are losing it, and with the consumer as well as the employee.

What happened?

In 2008 after the collapse of the banking sector, new graduates flocked to the tech guys instead of heading to Wall St. Dans, who teaches, states: “everybody wanted to work for the technology companies: I remember all too well the interest my students showed when I invited a senior figure from one of them to a class. Now, my students are often highly critical of the tech companies. Interestingly, it’s the younger students who are most concerned.”

And the concern is about regulating the big tech companies. Facebook has made this a concern, as we have seen over the last few years. But, who or what is replacing the tech companies as the place most people want to work?

According to the Glassdoor data, it’s a very mixed bag, ranging from software companies like Hubspot, to “consultancies, airlines or hamburger chains.” There is no real trend that is discernible as yet, and we may have to wait a couple of years for one to emerge. But right now the tech companies have lost their glamour — perhaps they should look for a fairy to cast a new spell.

What has the Internet of Things changed?

First of all, let me give you a definition of the Internet of Things. Wikipedia describes it thus: “The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.”

The IoT has a lot of applications, including the smart home and care of the elderly, as well as in healthcare, transport, manufacturing and agriculture, as well as on military battlefields. The ‘smart city’ is another IoT driven creation. Drones are an IoT baby, as are some of the latest artificial organs. The possibilities are seemingly endless, but let’s take a look at some of the areas where it has already had an impact.

Healthcare

The Proteus Pill tracks the influence of each pill taken: the time, the content, and a body’s specific reaction. It allows doctors to discover which medications work, or don’t, with individual patients, making for more accurate prescribing.

Logistics

International courier company DHL uses IoT tools to track and monitor deliveries. It uses sensors to track shipment containers, protect them, and collect data on workers and the adopted tools. In return, the company is more efficient and costs are reduced.

Transport

Virgin Atlantic launched and IoT connection with its Boeing 787 plane to predict possible health and equipment problems and improve flight safety. It shouldn’t be too long before other airlines adopt it.

Agriculture

Drones have great potential in agriculture, and they are the most multifunctional and reliable Internet of Things technologies. In particular, they are capable of taking pictures of huge areas of land, and can analyse soil composition and watering problems, as well as detecting plant diseases. Some believe that the use of IoT in agriculture will be one of its most important uses.

Education

Smart learning is on its way thanks to IoT. From adjusting the space within a university campus to creating a personalized study plan, IoT in combination with AI and machine learning changes the level of satisfaction with learning significantly.

Wildlife Conservation

LionGuardians is an example of IoT at work in nature. Its technology is an open source wildlife tracking collar system designed specifically for saving animals threatened with extinction. Currently being used in southern Kenya, it is hoping to protect and save 2,000 lions left in the area — by tracking their location and sending notifications to coordinators via SMS in case assistance is needed.

Cities

The Smart City is another fascinating use of IoT. Barcelona is already on board with it and has 500 km of optical fibre network, Wi-Fi routed in street lighting, air quality monitoring and water consumption sensors, smart parking and smart waste management. It makes life more comfortable for citizens and more cost effective as well.

The IoT is already changing our world, and it has much further to go.