With the growth of Artificial Intelligence (AI) being used as a tracking device, it is important to streamline chatbots accordingly. Chatbots are supposed to derive meaningful business intelligence out of conversations that people have on social or digital media. However, this becomes challenging due to the fact that a lot of conversations taking place in the informal media use short forms or slangs which all cannot understand. Even if keywords are to be used, AI cannot track such a word that has been rephrased uniquely by particular users until that becomes a trend. Thus detailed analysis of usage patterns needs to be conducted. Sometimes human interference can help out. Narrowing down on a range of possibilities for such words not understandable or borrowed from a different language is another decisive way that needs to be explored.

Source: http://customerthink.com/putting-the-cart-in-front-of-the-horse-chatbots-in-support/

Virtual Reality (VR) is one of those aspects taking gigantic leaps. Many consider it to be the next big thing, especially in the platform business. Google uses VR to give specific pleasures to users. Facebook is using thisbusiness innovation to entice customers to purchase products post seeing VR aided advertisements. The New York Times has also developed a VR channel which sees some giants of respective industries as paying advertisers. This includes TAG Heuer, Mini and General Electric (GE). These ads are short VR based films with the TAG Heuer one giving particularly pleasing an experience. Other leading companies such as Mattel, Apple, The North Face, Microsoft, Disney, Nestle Lufthansa, NBC, HBO, Cola-Cola and Nissan are also investing substantially in VR based marketing.

Source: http://www.strategy-business.com/blog/Virtual-Reality-Is-the-Real-Thing-for-Marketers

The mention of Artificial Intelligence (AI) tends to invoke a sense of fear among marketers. Yet marketers must embrace AI rather than be fearful of the same. This is because the present business world is dominated by algorithms. They extend from Amazon shopping to Google search and Facebook news feed. All of this depends on high-level business analytics. Such analytics can make AI or machine learning even more intelligent to help marketers take major business decisions. AI is even helping dating sites match profiles and driving facial recognition for the NSA. At this point of time, the bigger players and aggregators such as Google and Facebook are dominating the AI scene. But such technology is also democratizing business with smaller firms able to optimize better than earlier on resources. Source: http://www.marketingtechnews.net/news/2016/aug/19/why-ai-should-excite-rather-scare-marketers/

Companies are increasingly putting specialized care in to managing their social media handles. This is because social media is one of the key ingredients within digital marketing. Some strategies have been identified that will surely enhance results for various businesses. The social part of social media must be respected and only such messages must be posted which have some wider benefits. Thus comments must be motivational, inspirational or positive. Leveraging some local politician(s) will help as like brands, they also are in need of followers. So they often become powerful brand advocates. Video based sessions or posts work bets these days, thus marketers need to be comfortable in front of the camera. The marketers must keep experimenting with content within the gamut of topics. This facilitates customization for different buyer types. Social media must not be used simply as a communication tool but also to extract vital business intelligence through tracking customer conversations. Most importantly, the social media content must be genuine and passions must reflect.

Source: https://www.entrepreneur.com/article/281106

dvertising has evolved from the three networks, the local newspaper and a few radio networks as was the norm a few decades back. Technological innovations reverse or erode existing best practices within months. And now, machine learning is disrupting marketing more comprehensively than has been thought. Machine learning provides the kind of accurate business intelligence that is not possible for individual analysts to pinpoint. For example, minute trends such as on which line a certain video is to be inserted or where in the content should the CTA be added can be determined using such tools. Most of the A/B tests do not really reveal much. Machine learning can also separate out the useful from the junk by pointing our unnecessary distractions, matching expectations, improving readability and even pointing our parts where apparently the organization might have used excessive hyperbole. Machine learning can also help out with predictive analytics as it can scan trends and forecast outcomes with far better accuracy than other tools. Source: https://blog.kissmetrics.com/machine-learning-will-force-marketing-to-evolve

A study conducted by Data-Xu has provided unique insights on why marketing technologists are now pervasive across all organizations. In fact, three-fourths of top level marketers in the USA have a person dedicated to anchoring marketing technology. Nearly half of US marketers plan to increase investments in customer analytics by 2017. In fact, all marketers polled during this study confirmed that they felt that business analytics will play a major role in the coming years. Top mark-tech apps these days involve social media management, digital advertising or email marketing. Even before finalizing marketing budgets, planners analyze ROI of each marketing channel. Surprisingly, mega platforms such Google or Facebook do not provide holistic business intelligenceacross multiple channels, and thus marketers are forced to rely upon manual methods for the same. More than half the respondents also claimed that they have separate requirements for mark-tech and ad-tech as the two involve similar yet distinct capabilities. However, a similar number feels that these two formats will converge over the next five years.

Source: http://www.forbes.com/sites/louiscolumbus/2016/08/13/10-factors-fueling-the-rise-of-marketingtechnologists/#1ce029de7653

Source: http://knowledge.wharton.upenn.edu/article/future-retail-location-liability/