How companies are preparing to use Artificial Intelligence #AI

Instead of letting artificial intelligence (AI) be something abstract that scientists spend time on, companies can already prepare to use these technologies. When Infosys asked 1600 companies on how they plan to invest in AI, they responded like this:

Interestingly, 53% aim at developing knowledge and skills and 43% aim at using it for building a strong culture (here called “ethos”). This means that already today there are ideas on how to transform work. Meanwhile, for many companies, AI is still a step into the unknown, as reported by ZDNet in “Artificial intelligence: How to build the business case”. In this article, people especially see value from analyzing big data quickly. In order for the data be useful, however, you run into legal and ethical challenges that need to be solved first. And it will for sure involve a big disruption for certain professions when AI enters their domains:

“Peers recognises AI could also help change the way lawyers work, yet he also expects a cultural challenge. Senior partners trust their associates to spend hours considering the details of legal documents. Trusting computers to undertake the same task in seconds presents a different form of dependence. It’s a big shift because the reputation of that lawyer and firm is on the line”.

One way to look at the upcoming opportunities of AI is by reading “5 global problems that AI could help us solve” from World Economic Forum (WEF).

They list five problems AI could solve:

1. Healthcare

2. Making driving safer

3. Transforming how we learn

4. Help us be smarter about energy

5. Helping wildlife

By applying the ideas from the above chart on the practical ideas such as those from WEF, we can set a direction. Therefore, entrepreneurs and intrapreneurs could ask questions like: “How could our development of knowledge and skills make driving safer by using AI?”. Let the ideas flow, and then later separate the crazy ones from the revolutionizing ones (there’s a fine line between these two).

Since AI still is quite early in the development, we still have time to answer such big questions. But we should not relax, I believe. AI is developing exponentially, meaning it will look radically different just one or two years from now. Therefore, take the time already now to think about how to make AI work for you.

Both images are taken from the linked resources, and belong to them

Autonomous or driverless cars, and will we buy them?

It is easy to get a bit sloppy when writing about future technology that will change our lives. For example, not using the distinction between autonomous and driverless cars correctly.  It turns out, however, that there are methods to knowing what we are talking about exactly.

Here 360 published The difference between autonomous and driverless cars, where they outline the six levels of automation. Many of us have level 1 cars today, with basic parking assistance and the like, while a few are at level 2. The levels also relate to the autonomous/driverless distinction:

“Starting at Level 2, you can call a car autonomous because it makes its own driving decisions. Following this argument, you can also call it self-driving, although the term seems more adequate for cars at Level 4 and 5.”

One reason these levels are not used in our everyday language, is that these kind of cars are still rare on the roads. This had led some researchers to focus on simulation what will happen, as in Majority of human drivers don’t ‘bully’ autonomous vehicles. One conclusion of their tests, is that:

“What we have found suggests that people find it hard to recognise automated vehicles and/or don’t yet understand how automated vehicles behave. In terms of their driving behaviour, they therefore treat them as they would any other vehicle. It is possible that this could change as exposure to autonomous vehicles increases, but more evidence is needed to substantiate this.”

The advancement in the auto industry with new cars being produced, and research like the one above, will help clear these questions as we move forward. A central concern is still attracting us as consumers. What if no-one wants a driverless car? says that consumers could be the biggest barrier to autonomy. We are so used to being in full control of our vehicles, that higher levels of automation might feel strange at first:

“Survey respondents overwhelmingly preferred Level Four autonomy, where a human still had the option of taking control of the car. Almost 10% vowed they would never buy a fully autonomous car while 40% wanted to keep driving information private, even if that made the roads less efficient.”

All images are fetched from the respective articles, and are their property

Top 10 hot #AI technologies incl. Natural Language Generation and Robotic Process Automation

Great overview of how artificial intelligence is applied today. More areas will of course appear later, but this is an overview of what happens now.

Artificial Intelligence – ZEROS UNIVERSE

The market for artificial intelligence (AI) technologies is flourishing. Beyond the hype and the heightened media attention, the numerous startups…

Source: Artificial Intelligence – ZEROS UNIVERSE

Apple is joining forces with others to create responsible #AI

While some say artificial intelligence is a way towards a society worse than today, others claim we could be heading in the right direction.

Apple Focuses On Artificial Intelligence, Avoid Threat, Responsible AI – Main Goal : Academics : University Herald

Apple joins The Partnership on AI to Benefit People and Society.

Source: Apple Focuses On Artificial Intelligence, Avoid Threat, Responsible AI – Main Goal : Academics : University Herald