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The Key Challenges and Benefits of Utilizing Chatbots for Business [Infographic]


For many marketers, artificial intelligence (AI) chatbots have now become an integral part of their customer care arsenal. 

Why? Because they enable brands to offer customers a seamless experience, fast responses, and 24/7 support. 

However, chatbots are not perfect. All automated chatbot systems have limitations that, if not managed, could lead to problems for your business. 

One of the major challenges with the use of AI chatbots is security – consumers want to trust that if they share their data with your chatbots, you will only use it to complete their transactions or offer personalized experiences. 

Your chatbot should therefore only ask for relevant data, and it should also have systems in place to protect this data from malicious individuals looking to mishandle or misuse it. These include virus protection, firewalls, and strong passwords. 

Another challenge is the ability to make your chatbot likable, or help it understand human emotions – if your chatbot delays or offers unhelpful responses, the customer may leave your website and may never return. Additionally, if the chatbot fails to understand user emotion, it can lead to horrible customer experiences. 

But there are also important benefits. 

To provide more context, check out this infographic, which provides a full overview of the various considerations in developing an effective chatbot, and the pitfalls to avoid.

AI Chatbots Challenges and Opportunities You Need to Understand

En version av detta inlägg publicerades först på ShaneBarker blog



Twitter utökar innehållsrekommendationer, visar användare fler tweets från profiler de inte följer


Twitter Expands Content Recommendations, Showing Users More Tweets from Profiles They Don’t Follow

Suddenly seeing a heap more random accounts appear in your Twitter feed?

This is why – today, Twitter ramped up its tweet recommendations for a heap more users.

So you’re going to see more tweets in your feed based on things like:

  • Interests based on tweet activity
  • Topics you follow
  • Tweets you’ve engaged with
  • Tweets people in your network like
  • People followed by people you follow

There’s a heap of expanded exposure potential here, and Twitter, in an effort to juice engagement, is looking to keep people in the app for as long as possible, which, ideally, these recommendations will facilitate.

It’s similar to how Facebook and Instagram are now showing you more AI-based content recommendations, which stems from TikTok, and its focus on highlighting the most relevant content to each user, which is not directly tied to your own social graph.

There was a time when your social graph was the defining factor, which gave Facebook a huge advantage, but now, there’s been a bigger shift towards entertainment over social interaction, which expands the potential to show each user more interesting content, from a much broader range of sources.

Conceptually it makes sense, but it’s largely reliant on the platform algorithms being actually good at showing you the best content, based on your interests. TikTok is very good at this, hooking into your expressed likes and dislikes based on your viewing history.

Twitter, however, not so much.

In my experience, Twitter’s recommended topics are always pretty far off, and even within those topics, the tweets it highlights tend to also be off-topic, uninteresting, and even just weird a lot of the time.

Right now, Twitter seems convinced that I’m interested in ‘AirBnB’, ‘skönhet Influencers’ and ‘Blink 182’. I’m not interested in any of these things, which I’ve tried to tell Twitter’s algorithms by selecting the ‘Not interested in this topic’ option – yet every time I re-open the app, they’re on my Explore page once again.

It could be worse – last month it was showing me ‘Peanuts’ comics, so I had Charlie Brown’s massive head staring back at me every time I tapped over to the Explore tab.

Again, I’ve directly told Twitter that I’m not interested, but it keeps showing them to me, while today, after this new announcement, this is what my feed currently looks like:

And they just keep coming – every time I scroll back to the top, another 20 tweets are in my feed, with 80% being recommendations.

Look, this is probably a short-term push, and maybe it helps people discover new users to follow, and helps Twitter boost engagement. But again, if you’re seeing a heap more recommendations, this is why.

Hopefully, the feedback will help Twitter refine its topic and content streams.  


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