Facebook Messenger chatbots will be the next big marketing trend in 2018 and beyond. There is a bright future expected by the chatbots. More than 4.1 billion people are active on Facebook Messenger every month, so why not monetize this platform as part of your client’s social media marketing strategy? 2 billion people that business-related messages are sent through Facebook Messenger chats according to Facebook IQ. The good news is the chatbot trend is not weakening since 2017.
A business in motion must be mobile-first. Why? There are a few reasons for this. First, the mobile leverage industry transformations that enable the internet of things whereby global machine to machine connections will increase from 2 billion in 2011 to 18 billion at the end of 2022 . Second, it transforms the value chain and business operations whereby mobile is primary. 91% of mobile users keep their devices within arm’s reach 100% of the time . Third, it delivers a contextually relevant experience. Insights from mobile data provide new opportunities. 73% of mobile shoppers take action after receiving a location-based message . Fourth, it’s drive revenue and productivity. Mobile is about transacting. 96% year to year increase in mobile cyber Monday sales between 2012 and 2011 . Fifth, it deepens engagement. Mobile must create a continuous brand experience. 90% of users use multiple screens as channels come together to create integrated experiences .
In this tutorial, you can learn Tensorflow in 1 day, practically. For theory, I suggest reading this book.
a. Useful TensorFlow operators
b. Tensorflow Neural Networks
c. TensorFlow Deep Learning
d. TensorFlow Convolutional Neural Networks (CNN) for image recognition
e. TensorFlow Recurrent Neural Networks (RNN) for text analysis
Based on my experience, building a startup is not an easy task. It does require perseverance for a long time. Many of us, especially millennials who are likely to take a leap of faith and jump over onto the battleship without proper planning because thinking that they could make fast money and freedom in terms of time. But the fact is that the reality is totally opposite. 90% of the startups will fail in the first year of the operation and they ended up became a part of this statistic.
There is no easy way to determine how good their tech talent is especially in programming skills. It’s like finding a needle in a haystack. Many software developers proclaim that they can code, but how good they are in programming? Only after they’ve hired, then we will know how their performance is. If the hired turns out to be a poor programmer, they’ve given us problems like project delay or technical debt that would cost us a sum of money. The actual price of employing a poor software developer cost the business more than $100 million, according to Zappos ‘ Tony Hsieh.