Do you have no experience at all or are you lacking inspiration? Then talk to an influencer marketing agency. These companies specialize in creating influencer marketing campaigns and strategies. They set up creative collaborations between influencers and brands. Think of companies like IMA, WeAreFirst, HelloSparkle, First Day of Spring and 3sixtyfive. Revenue model: hourly rate.
Influencer marketing software
As companies now hire specialists to manage influencer marketing, we see a great need for supporting software. Manually searching for influencers and gaining access to important data simply takes a lot of time. There are solutions that automate processes, such as Influentials, Join, TIM and Cirqle. Revenue model: subscription and/or transaction fee.
I am curious whether you are already active with influencer marketing, whether the budgets for this are growing in your organization and whether your company already has or is looking for influencer marketing specialists!
Now that we have zoomed in on the market development, it is time to focus on micro-influencers and the rise
Artificial intelligence (AI) is increasingly being india telegram data applied, both visibly (self-driving cars) and invisibly (pricing, fraud detection, human assessment). The new invisible applications in particular are often problematic: poorly functioning technology is tested on real people.
The field of artificial intelligence has existed for over 60 years. The Dartmouth Conference of 1956 is often taken as the starting point of the field. I have been active in this field since 1997, but with a healthy dose of skepticism. AI is interesting in the laboratory and for research, but in many cases not useful in the real world. Computers have been able to play chess and use logic for years, but have a lot of trouble with tasks that children find easy: speaking, listening, walking. The risk that expensive robots break down on their own is still many times greater than that robots will take over the world.
Fear of AI does exist, however, based on fiction: the 1984 film Terminator was for many people a first explanation of the possible dangers of 'rogue AI'. In practice, the AI was disappointing and the dangers were not too bad. The existing algorithms rarely performed better than humans, due to a lack of computing power but especially training data. Recording real data on a large scale was simply not feasible.