Executive ai playbook

The Executive’s AI Playbook: Is Your Organization Ready?

Organizations are adopting AI at a faster rate than ever before. What was once part of a myth about robots taking over the world is now more commonly seen as a tool to automate time-consuming processes to gain better insights from large amounts of data. There is eagerness across the board to implement artificial intelligence into business practices but it is important to know that there is no “one size fits all” solution. The first thing you’ll want to do is educate yourself and develop a plan that fits your needs. This interactive AI playbook built by McKinsey & Company will help you do just that.

The extensive playbook is broken down into three parts:

1. Value & Assess - Size the opportunity and determine data needs

The Value & Assess section shows the potential total annual value of AI and analytics across 19 industries. By clicking on your industry you can see the areas where AI techniques can be applied and a range of economic value for those applications.

ai playbook value and assess

Image source: www.mckinsey.com

2. Execute - Learn best practices to realize the value

The Execute section breaks down best practices for implementing AI across your organization. The high-level summary of these practices includes: aligning on the strategy - building tech, data & people capabilities - completing the last mile.  

AI playbook best practices

Image source: www.mckinsey.com

3. Beware - Know the warning signs of an AI program failure

The Beware section outlines 10 red flags to keep an eye out for once the decision is made to implement an AI program. Each red flag has a suggested response to help quickly resolve these issues and increase the chance of a successful AI initiative.

AI playbook beware

Image source: www.mckinsey.com

Are you ready to get started?

Contact rasa.io today about implementing AI t o engage your members and generate new sources of revenue.  And if you are interested in other applicable AI frameworks, read our recent blog on the AI Canvas.


John Spence using AI to automate and personalize email newsletters

John Spence Case Study: Making Email News... Awesomely Simple

John Spence: World-renowned business speaker, thought-leader, and consultant

While the majority of our clients are associations, today we are excited to post about the success of one of our business influencer clients: a world-renowned speaker, thought-leader, and consultant in the business world, John Spence.

Our partnership with Spence is rather unique. His rasa.io newsbrief primarily consists of the articles that he - and some of his peers in the business influencer space - Tweet out to their followers, in addition to posts from The John Spence Achieving Business Excellence blog. Our rasa.io Artificial Intelligence automatically compiles the content that Spence determines to be relevant to his community, and then our AI individualizes the articles in each email based upon subscriber interests. 

Spence explains the value of his rasa.io newsbrief

John Spence and his marketing team have been enthusiastic about the value our newsbrief provides their community of subscribers from the very beginning; Spence describes that value in his own words:

“I have already had several people tell me that they love the newsletter and that the content is fantastic, which is especially cool because the AI is custom generating content for each reader. Also, I love it because it is hands off,  I set the parameters, it knows where to pull from, and the AI only puts up articles that I know will be of value to the readers. I know that I'm not wasting my readers’ time, and that they will find value in everything I send to them.

My rasa.io newsbrief content represents my individual brand and the way I believe in doing business; the product allows me to automatically distribute these important articles, along with my self-published content - all personalized for each member of my community - on a regular basis.

The [engagement level] has exceeded my expectations: 40% of my subscribers open our rasa.io emails. Beyond that, for the group we have gathered the most Artificial Intelligence information on, our open rate is about 60%. It feels great to know that the training, education, and business research resources I am passing to my followers are being used to help them grow.”

Read the John Spence case study in full!

Deliver the value of automated AI to your community

We are passionate about using AI to filter through the noise and deliver authoritative content that is of tangible value to our customers’ communities. What’s more, is that our personalization comes at no additional time cost to our customers’ teams. Instead of spending their time hand-segmenting emails, our customers spend their time reviewing the user insights they gain from our analytics dashboard. They can use those insights to develop their own internal content plans to achieve optimal value for their readers.

Learn more about how rasa.io can help you to personalize content with AI and automatically disemminate your valuable internal content to your readers.

Our upcoming webinar

If you are interested in learning about how you can do a better job of promoting your own internal content, register for our upcoming webinar: Promote Your Content Effectively to Drive Member Engagement.

Image credit: www.johnspence.com


How Should We Define Success in Online Communities?

How can you access an accurate picture of how your online community is really performing? Confidently defining what you should be measuring and how often you should be measuring it are common stumbling blocks on the road to in-depth community data analysis.

Tracking just for the sake of tracking (or appeasing your CEO) will do you no good. And while most platforms come with built-in tracking features that analyze traffic and referrals, every community needs to define its own measures of success founded on goals unique to their organization. This is incredibly important to establish before building a community and equally as important to recognize that these goals and strategies will shift over time. So don't get too comfortable.

How we define and measure success is constantly changing. And unfortunately, a metric for success that gets tossed around a lot is number of questions asked and answered - is a misleading and unfair metric.

Simply counting the number of questions asked and answered does not paint a clear picture of how many members are truly being engaged, who is reading the answers, the quality of the content, or its reach.  It also lends itself to an inaccurate portrayal of involvement as there could be dozens of questions asked and answered in one day by the same insular group of 5 super users or association employees.

In a digital environment where everything has the potential to inspire, convert and be tracked, there are so many more meaningful ways to measure success in online communities, 3 of which are outlined below.

3 Meaningful Metrics for Online Communities

1. Time between visits

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