The New Marketing Paradigm: Reinventing the role of marketing, ethics, and transparency.

1. The early adopters are already adept at using data insights as it is part of their core business. Financial services, banking, credit cards, insurance companies, these companies are already adept at collecting data. Using AI they can now mine this data for the success of their business.

2. Marketing agency leaders of the future will probably come from a predictive analytics/ strong data background.

3. AI will give us information on the customer and the ability to fix these irritation points with very personalized service.

4. The PR industry is gearing up at different paces. The big companies owned by holding groups are starting to invest and gear up. But when you go to many small agencies, it’s often still business as usual.

5. Companies that are not exploring AI can help with analytics, forecasting, and report generation will miss the boat.

6. The power of AI is that it can do in hours and minutes what humans did in days and weeks.

7. Once you start delivering AI, you need to have responsibilities and you need to be extremely careful about what you are going to do with it.

8. It’s essential that customers/end users understand that you are collecting data and that you are using technology to improve service.

9. AI can enable you to become highly customer-centric.

10. It’s really important to take a proactive approach to technology within your organization.

11. AI can be divided into 3 phase:-Crawl, Walk, Run. Crawling is amassing insights from the data you have. Walking is when you discern the difference between historical insights from structured data and predictive outcomes from unstructured data. Running is when you have both working in tandem across both structured data unstructured data. It is in the running phase that you are ready to start using fully autonomous machine learning algorithms.

The future of marketing has arrived!

1. We are only scratching the surface of the moral, ethical, and legal concerns posed to society and individuals by the increased use of robotics and AI.
2. We do not live in an egalitarian society where we all have access to the same resources. We need to ensure that robotics does not lead to the rich getting even more powerful.
3. Certain factors are still holding AI back. One is Skillset globally; I mean the availability of data scientists and people with the experience required.
4. Ethics need to be at the center of how we educate people on the subject of AI.
5. We will need some controls and regulations over AI that assist but do not inhibit; there is a fine balance. We need multi-national frameworks; this is different from regulation.
6. Regulation is essential, but will everyone comply with regulations? Consider nuclear weapons, chemical warfare, landmines. What is different is AI’s sheet capability to take us to a whole new level of engagement. It gets scary where you don’t need a human in the loop; that’s when regulation is crucial.
7. The critical question is, will robots and AI do more harm than good? Can we teach robots ethics? And is the landscape of AI boundless? Will AI give rise to inequality around the world?
8. Can a robot truly be labeled racist? Do these harmful traits of the robot not lie with who is building the robots? Our AI and robotics are only as good as the humans who create them.
9. Facebook, Google, Amazon, Apple, Microsoft are the top 5 companies playing big in the space of AI.
10. The sea level is rising as AI improves, so there’s a kind of global warming going on here in the task landscape.
11. So one option that some of my AI colleagues like is building superintelligence and keeping it under human control, like an enslaved god.