It's Just Technology
Artificial intelligence is intended to make lives better and more efficient, but it can replace tasks that can be automated. So there is a reality that companies will want to become more efficient by eliminating humans where they can, because if they don’t, their competitors will.
Some examples of jobs that may go away are telemarketing and writing earnings reports and media buyers and anything that a machine can do better.
AI needs to be solving a business problem or helping to achieve a goal more efficiently for it to make sense as a business application. Some examples touched upon in this video include using AI for recommendations, optimization and categorizations.
Machine learning can be defined as making predictions on future outcomes based on historical data. The key to machine learnings is that the machines are getting smarter and their predictions are getting better without any human intervention.
In this 5-episode series, Paul Roetzer, Founder & CEO of PR 20/20, sits down with HubSpot Product Manager of Machine Learning, Kevin Walsh, to discuss the applications of artificial intelligence in digital marketing.
What is AI? To Paul, it is the umbrella term to encompass technologies and algorithms designed to make machines smart, with machine learning being the primary subset.
Machine learning can be defined as making predictions on future outcomes based on historical data. The key to machine learning is that the machines are getting smarter and their predictions are getting better without any human intervention.
Law enforcement agencies like the New Orleans Police Department are adopting artificial-intelligence based systems to analyze surveillance footage. WSJ’s Jason Bellini gets a demonstration of the tracking technology and hears why some think it’s a game changer, while for others it’s raising concerns around privacy and potential bias.
Russian President Vladimir Putin recently explained what he believes is necessary to rule the world. “If someone could guarantee themselves a monopoly in the area of artificial intelligence, the consequences are clear to us all – they would become the world ruler,” the TASS news agency cited Putin as saying.
The Russian president remarked that the fight for technological superiority, including in the field of AI, has already become a field for global competition. “The speed at which new products and solutions are created is growing exponentially,” he observed.
Putin noted that many countries have already chosen their strategies concerning AI. “We too, of course, must ensure our technological sovereignty in the AI field,” he said, adding that it is the most important condition for the success of Russia’s business, economy, security, defensive capability and quality of human life.
AI consists of four components:
AI has enabled many new opportunities for people to create a positive impact in the world by creating engineering solutions across every industry. However, AI is still evolving and we have to address its limitations as well. This video explains three major limits of AI – a lack of causal reasoning, vulnerability to adversarial examples, and a lack of interpretability. The video also explains ways to solve these limits and earn a profit doing so. The next time someone asks you what AI can’t currently do, share this video with them.
Some people at the annual Eurasian Media Forum believe artificial intelligence will cause the next “renaissance of humanity” but others think this will come at the cost of serious inequality.
This IBM video is a promotion for their Watson Machine Learning and IBM Watson Studio, which they describe as a “leading data science and machine learning platform built from the ground up for an AI-powered business.” They further state that it “helps enterprises simplify the process of experimentation to deployment, speed data exploration and model development and training, and scale data science operations across the lifecycle.”
Neil Patel discusses how artificial intelligence will be integrated into marketing and how it will impact our lives.
Aggregating legacy data systems is a prior step for AI processing that is not solved for all entities, particularly mature ones.