The Internet of Things (IoT) refers to the concept of enhancing Internet connectivity beyond traditional computing platforms such as personal computers and mobile devices. From home appliances to driverless cars, from healthcare to virtual assistants, from delivery-drones to the latest car-vending-machines, all of these are great examples of the Internet of Things (IoT). Embedded with other types of hardware such as electronics, Internet connectivity, and sensors, these devices can communicate and interact with others on the Internet and can be remotely monitored and controlled.

Home automation device

The Internet and other technologies are greatly increasing its connectivity to gadgets and devices. The evolution of connectivity has made it possible to connect yourself with the devices and gadgets you use in your daily life.

The influx of AI in the marketing industry is certainly promising but it poses a serious risk of user data being insecure and falling into the wrong hands. With this in mind, laws such as GDPR and CASL have come into existence, and this is only the beginning of the deeper security of user data in the days to come.

Despite its popular demand, AI can still be a complex technology for the majority. And technical staff who have not yet been trained in AI may be unaware of its capabilities. Businesses need to be more careful with AI and make sure that some applications don't look too human or accurate.

To have a successful AI-driven marketing strategy you need to have a strong IT infrastructure. AI technology can process large amounts of data and requires highly efficient hardware instead. Therefore, you need to make sure that your computer systems are fully functioning and running smoothly, which is especially important for small companies with a more reasonable IT budget.

There is a huge gap between AI skills right now and it can have a negative impact on businesses that want to develop in-house AI marketing solutions. The problem is expected to worsen as the number of AI companies and job opportunities increase. With rapid rate changes and fewer barriers to access, talented individuals are becoming harder and harder to come by.

The best way for an agency to comply is to say what they will do and maintain that transparency. Agency operating standards should comply with GDPR and CCPA guidelines which include legitimacy, fairness, transparency, accountability, and accuracy, both in terms of law and principle.

Raphael Rodeir of Ogury, an ad tech agency, says, “For decades, the industry has turned a blind eye to the ways in which user data is obtained. Thus, most of the data used to drive vendor technology today have a mysterious layer covering it. When, where, and how is it collected? Is it taken with user permission, or not?

Brands that want to make better use of their first-party data often require more control and visibility than they normally receive from agencies that ‘forget it’ and are unable to provide easy access.