AI won't give you a better time – just increased requirements

AI won't give you a better time – just increased requirements

NHO's latest efficiency measure It shows that more than half of its member companies believe that AI will be important to the company's future growth and competitiveness. Seven out of ten companies lack AI proficiency, and only one in five member companies have adopted these technologies.

A lack of insight and skills means that AI is largely used in half-hearted testing projects where the motives of value are only cosmetic, or at best aimed at personal productivity and saving time on trivial tasks.

With this background, it is important to understand that AI is about more than just optimizing Chat GPT. KI won't save you time, but it gives you space to do more with the time you have. Therefore, technology will change expectations about how efficient you are and how much you are expected to do. As was the case for the typewriter, copier, personal computer, and mobile phone. AI joins a long line of time-saving technologies, the result of which so far has been that we've never had less time.

Read also

Generative AI: A sharp contrast to previous technological advances

250 cases found

AI skills will change business. You can get to market faster with new services and products. To extract values, management must understand that AI is about business, not technology. AI should not be treated as a “solution looking for problems.” You should start by identifying the challenges and opportunities you face in the organization, and then evaluate which of them can be solved using AI – an exercise that requires knowledge and thought. This starts with sending the management team and top manager to the “KI School”.

See also  Myanmar, foreign | Minister of Trade and Industry in the Telenor case:

In an exercise we conducted for a large company, managers and a selected group of employees were asked to find challenges and opportunities in their daily work lives, without thinking about whether AI could be the solution. The result was more than 250 unique problems, divided into ten solution areas. Each problem was then ranked according to potential value creation, complexity of the solution, and whether AI was the right recipe. After filtering out tasks that could be better solved using something other than AI, we were left with over 200 entries where generative AI or machine learning could solve tasks faster and better.

The result of the above-mentioned exercise was that management obtained a qualified overview of the use areas related to AI, as well as a deep temperature measurement of their own business. In addition, they received a clear and reasonable answer about the competence they lack, which is different from what they thought before performing this exercise.

Ishita Barua is the co-founder and medical director of startup Livv Health, based at Rebel in Oslo.  The doctor, who holds a doctorate in artificial intelligence (AI), hopes that more women will choose education that combines health and technology.

Read also

I believe that artificial intelligence can correct unconscious biases in doctors

Much faster than we expected

Just two years ago, most people, myself included, said that it would be many years before we would see models of artificial intelligence that might resemble artificial general intelligence. It now looks like that could happen as early as 2024.

Sam Altman, president of Open AI, which is behind Chat GPT, recently said that we will have artificial general intelligence (AGI) in just seven months — that is, models with many of the same rational, thinking qualities as humans. When it becomes a reality, it will open the possibility of solving increasingly complex problems. Hence, we are no longer talking about large linguistic models, but rather about large global models. Hence it becomes very important to follow technological developments and focus on the right things in your business. The winners are those who attended the class.

See also  Bitcoin has reached a new record high - E24

Norwegian companies should explore AI where they can and, if necessary, build the data collection infrastructure first, writes Stein Andre Larner in Com4.

Read also

There is no artificial intelligence without data

Hanisi Anenih

Hanisi Anenih

"Web specialist. Lifelong zombie maven. Coffee ninja. Hipster-friendly analyst."

Leave a Reply

Your email address will not be published. Required fields are marked *