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.


academyhealth rasa.io customer case study

AcademyHealth rasa.io Customer Case Study: Moving 2 Missions Forward

AcademyHealth customer case study

We’re excited to share the results of our AcademyHealth customer case study! 

About AcademyHealth

AcademyHealth is an association with the mission of improving health and the performance of the greater health system by supporting the production and use of evidence to inform health policy and practice. And because our Core Purpose at rasa.io is “To Better Inform The World,” their mission was one that truly resonated with us. You can read the full case study here.

AcademyHealth and the rasa.io newsbrief

AcademyHealth was looking for a way to proactively encourage their members to connect with all of the benefits they offer. AcademyHealth’s research has put them at the forefront of the Health Services industry. They wanted to ensure that their members were not only staying informed on AcademyHealth-specific news, but also leading external news from other authoritative sources. With our missions being closely aligned from the start, the rasa.io daily email newsbrief was a great fit. By using our automated AI-powered email technology, AcademyHealth is now able to automatically email members their leading content alongside personalized industry news.

From the AcademyHealth Director of Membership

Angélica Rodriguez, Director of Membership at AcademyHealth, describes the results they’ve seen from the rasa.io newsbrief:

“We see unique weekly open rates that range between 45% and 55%, our average open rate is 49%, and our average click-through rate is 16%. Having an extraordinarily high level of weekly exposure with our members is invaluable.

The artificial intelligence tool analyzes member behavior and interests then adjusts content accordingly, crafting individually personalized emails that each person wants to read. Our customers are then in turn able to gather insights on their members’ interests and learn what matters most to them. Rodriguez goes on to explain the value of the automation:

“Now we have an automated way to ensure our messages to members and our important articles are getting absorbed, all while knowing we are providing our members the important information they need to remain leaders in the industry.”

Read the full AcademyHealth case study here.

Are you ready to send your members the personalized content they want to read?

Contact rasa.io today if you are interested in learning more about how you can leverage our automated AI tool to increase member engagement.


the open garden association by amith nagarajan

Association Overhaul: The Open Garden Blueprint for Change in a Digital World

Announcing the launch of The Open Garden Organization, A Blueprint for Associations in the Digital Age

At rasa.io, we do a lot in the way of intelligent email content, but today, we are excited to announce the launch of a new book that is very close to our team: The Open Garden Organization, A Blueprint for Associations in the Digital Age. Open Garden is written by our rasa.io Chairman, Amith Nagarajan, and the book encourages experimentation and innovation within associations in order for them to remain relevant in our world of rapid technological advancement.

About the author, Amith Nagarajan

Amith is passionate about helping associations, non-profits, and other brands engage with their audiences on a daily basis. He founded and grew Aptify into a worldwide leader in Association Management Software, and he sold the company in 2017 to Community Brands. Now, along with our team at rasa.io, Amith works on developing cutting edge AI to drive meaningful daily engagement between brands and their audiences via personalized content curation. Outside of rasa.io, Amith is an active early stage investor in B2B SaaS companies.

Embracing The Open Garden Model and fostering a culture of experimentation

The book begins by encouraging organizations to foster a culture of experimentation. The “business as usual” mindset is easy to fall into when you are not constantly innovating new ways to drive success. Without this kind of experimental culture, you may achieve short-term success in order to satisfy immediate stakeholder needs, but such a short-term mindset will ultimately lead to stagnation. Now, more than ever, it is important to take advantage of new resources and new ideas in order to maintain relevance.

The Open Garden Organization brings contemporary ideas about technological solutions and business management into the hands of association professionals. Associations need to leverage technology and explore new frontiers in order to maintain the historic trust they have developed with their members.

A Brief Overview of the book and The Open Garden Model

The book’s Open Garden Model is an equation founded on the following principles: purpose + culture + inclusivity. These principles are expanded upon in the book’s three sections: “The Bedrock,” “The Soil,” and “The Crops”.  

The Bedrock of the Open Garden

The Bedrock focuses on finding your Core Purpose and defining your Core Values. In order to find your true purpose, you must ask yourself why your organization exists in the first place. Once you’ve established why you exist, you can begin to define the set of behaviors - or Core Values - that you need to implement in order to successfully pursue your Core Purpose. Your Core Values need to be communicated regularly to your team and persistently reinforced in order to effectively live up to your Core Purpose. At rasa.io, our Core Purpose is “To Better Inform The World,” and we behave guided by seven core values in our daily actions in order to achieve that purpose.

The Soil of the Open Garden

The second part of the book concentrates on constructing and nurturing your culture. The culture of your organization should be created internally, and intentionally. Nagarajan calls this concept “Culture by Design.” Culture By Design is driven by three things: Core Purpose, Core Values, and an Envisioned Future. When these pillars are carefully crafted and clearly communicated, it creates a purpose-driven culture throughout the organization and a stable foundation for success.

An Envisioned Future should include a BHAG, or “Big Hairy Audacious Goal.” A BHAG is a far-out, massive-scale aspiration that an organization establishes in order to motivate the internal team, and all other stakeholders, in working together toward a long-term, uniting goal. rasa.io’s BHAG is: “By 2030 we will improve the lives of one billion people around the world through better information,” and you can read more about it here.  

The Crops of the Open Garden

This final section of the book is all about finding and engaging your community. In the Digital Age, people are exposed to more content than ever before. Because of this information overload, we consume this content with less confidence in its credibility. Associations have already established that credibility but they often don’t engage their membership as frequently as they should.

At rasa.io, our mission is to bridge that engagement gap with our daily, personalized newsbriefs. Our AI-driven approach to finding the most relevant industry news makes this an email that members will look forward to opening. Higher engagement levels won’t just keep your members happy, they will also open the door to new economic benefits for your organization.  

Buy the Open Garden today

The Open Garden Organization, A Blueprint for Associations in the Digital Age is now available for purchase on Amazon. Buy your copy today in order to learn about how you can position your association for success in this new era of technological advancement.


Associations can use the AI Canvas in order to make better decisions

Unstick Your Stucks: Making Better Decisions with the Help of the AI Canvas

Oftentimes associations come to us not knowing where to begin when it comes to implementing new and innovative technologies. The idea of using Artificial Intelligence to engage their members is daunting. So what do we tell them? Just start. Experiment. Take the first step toward trying something new.

In many cases, it makes sense to turn toward the data in order to make difficult business decisions. But whether or not to employ AI predictive technology so that you can take the best given course of action related to any given input - using a combination of existing data, training data, and real time inputs - is still a tough choice to make. Referring to a step-by-step framework can be a good place to start.

What does making tough decisions have to do with AI?

Every organization faces the challenge of having to make tough decisions in the face of uncertainty. If we knew the exact, potential outcome of each branch of a decision tree, the choices facing us in our daily lives would not be as nerve racking.

AI can help us make better predictions, and the AI Canvas provides a straightforward framework to decide whether or not to use AI. It provides a decision-making path to go down in order to help an organization decide whether implementing an AI prediction machine even makes sense in the first place. The concept is fully fleshed out, along with a step by step example, in the recent HBR article: “A Simple Tool to Start Making Decisions with the Help of AI”, by Ajay Agrawal, Joshua Gans and Avi Goldfarb, (also authors of the acclaimed book: Prediction Machines).

How does the AI Canvas work?

The first four steps in the top row of the framework, (prediction, judgement, action, outcome), describe the four most important dimensions of any given decision. The bottom row of the AI Canvas, (input, training, feedback), lays out the concluding data-centric considerations in the entire decision making process. In the article by Agrawal, et al, they lay out an interesting example relating to home security in order to demonstrate a real-life application of the AI Canvas.

The possibilities are endless. We have all heard that AI will become a more and more powerful force in business, and predictive decision making is an AI category that any organization can begin to explore.

Are you ready to get started?

rasa.io is here to help you make the decision on whether to use AI in order to engage your members on a deeper level. Learn about how.


Image source: www.predictionmachines.ai


Three computers and background coding represent the power of artificial intelligence

Artificial Intelligence for Associations: Is It Worth the Hype?

Originally posted on the American Society of Association Executives website.

To prepare for the future, associations should embrace the possibilities of artificial intelligence. Here’s a primer on what AI can do for your organization.

Barely a day goes by without media coverage of how artificial intelligence (AI) is making its way into almost every industry, including theories on how it’s going to change the world as we know it. Is it all sensationalized? Or science-fiction daydreaming? Or is the hype around AI something that’s truly going to affect the world?

I believe we will see profound impacts in the next decade, and these have several implications for associations. The good news is that AI can be a disruptive and positive change, helping associations do more than ever before to advance their missions.

Incremental vs. Transformative Change

When thinking about AI, I see two types of change: incremental and transformative. I like to think of incremental change as taking existing business processes and making them better. For example, AI can be used to more efficiently answer member questions or to help attendees find the best-suited sessions at a conference. These tools incrementally improve the way we do business.

In contrast, a transformative impact is a situation where the business model, or the fundamental method of engagement with association members, is disrupted and changed, for better or worse. Self-driving cars are an example of a transformative change in the auto industry, radically altering how people use cars for work and leisure.

What Is AI?

Before we get down to specifics, let me explain some of the terms you’ve probably read, heard, or seen:

The term AI refers to a computer’s ability to mimic the behavior of a human, or more than one human, to reprogram itself over time based on learned observations.

Machine learning is an application of AI that involves learning by applying statistical algorithms to data. It takes a statistical approach to gain insights into data and make informed decisions based on these insights.

One category of machine learning includes using predictive analytics to help an organization figure out what factors influence things like revenue and sales. In the association space, similar algorithms can be used to predict how factors, like location, affect conference registration, or which members are most likely to renew or not.

Deep learning is a subcategory of machine learning. The most advanced cognitive machine is the human brain, which is a network of neurons that fire together. Deep learning mimics the way a human’s neural networks function in terms of how information is transmitted.

The good news is that AI can be a disruptive and positive change, helping associations do more than ever before to advance their missions.

Do you use Siri to get information from your iPhone—or some other type of voice assistant technology?

If so, then deep learning is already making your life easier. In the past few years, these technologies have drastically improved in their ability to accurately detect speech patterns across languages, age groups, and accents. Another example of deep learning in action is facial recognition, which is used by everyday apps like Snapchat.

AI for Associations

Could your association use AI technology? As you explore the possibilities, I urge you to think of AI as a tool, just like any other piece of technology. It has major potential to automate tasks that would be arduous to undertake manually, leaving more time to focus on strategic work.

Allow me to zoom in on one potential application of AI for associations—content curation and personalization. Imagine the effort that would go into personalizing member experiences manually. It means getting to know individuals, then taking the time to provide them with content resources. This would be inefficient and infeasible, particularly for large associations.

AI can facilitate personalization by sifting through large amounts of content within the association. It can also go beyond that content and look at other quality and trusted sources that your members are already reading.

AI can identify patterns to determine what content is of greatest value to the individual and provide tailored information at just the right time. It can also share content with the audience based on known factors, like career stage, location, and job title. More so, AI can learn from user behaviors and find new patterns to group people into personas that are not as obvious to us.

A key role of an association is to help people find valuable information, which makes life easier and ultimately advances their work. AI can do that right now without a single hour of human labor involved. Content delivery is just one example. There are far greater opportunities for AI on the horizon as the technology advances.

It’s also an exciting time to explore the tools and applications that enhance the work we do. AI is here. It’s improving at an exponential rate, and it’s capable of benefiting many associations today.


Repetition Isn’t Keeping Your Members Interested

Memory is based on Repetition. By repeated exposure to an idea, we strengthen the memory that is associated with it. If one does not semi-frequently repeat it, it will become forgotten. Repetition is the building block of school and of advertisement. However, despite all that, Repetition is the wrong way to keep people interested in your ideas.

The danger of Repetition is stagnation. Let’s take your average hobbyist association - their members share a common interest. That is the one guarantee for all members. But only focusing on that interest doesn’t mean that your members will stay consistently engaged. They will eventually get bored with the information offered to them.

What is more important than Repetition is Rhythm. Rhythm is defined as a combination of elements repeated, but with variations. Variations in your messaging are important - they can reach a greater swath of your members than a narrow focus, they unearth hidden commonalities between members if they generate excitement, they keep the organization from getting stale and can attract members - especially younger members.

 

Identify the Pattern

There must be consistency in your message. Identifying the overarching pattern is key. What can you always agree is important to your members? In many ways, this is similar to the core purpose of an association or company. The pattern of information/content/communication that is identified as the group bedrock forms the basis of the Rhythm experienced by members. From a technological perspective, you can even use software that aids this task by collecting and synthesizing all the information that has been stored by you and using it to form associations that are human-readable and understandable.

Don’t Be Afraid of Wildcards

John Lydgate - protege of Geoffrey Chaucer, author of The Canterbury Tales - memorialized the following saying - “You can please some of the people all of the time, you can please all of the people some of the time, but you can’t please all of the people all of the time.” It is a Sisyphean task to have no errors in your content, especially if your organization is willing to change it up. These missteps are as equally important as the successes. Your members provide feedback that can guide your organization to better serve them - a key ingredient to a successful association.

Plan for Change

In the end, this approach will cause your organization to change over time. How will you approach and embrace that change? It may require updating updating old content or even getting rid of your org’s previous work to fit with what needs to happen NOW. From a technological perspective, data analysis tools are extremely helpful in achieving that. Cutting edge tools are now using AI to read and collect your data for you, leaving you with a simple to understand outcome. Companies like Anodot and Databricks - the creators of Adobe Spark - are the first wave of what will eventually become the industry standard.


The Internet Isn’t Engaging Anymore

While starting to write this, I caught myself cycling. Jumping quickly from Facebook to Twitter to my email to my phone and then Snapchat and so on. This happens all the time; there’s so much noise out there pulling my attention away from everything else. That same noise is affecting the content that I’m putting out.

There are many factors that have contributed to this feeling of “information overload” in the last decade. But this isn’t a new phenomenon. As writing became more common in Ancient Greece, Plato decried that “this discovery will create forgetfulness in the learner’s soul.” European scholars felt the abundance of books created by Gutenberg’s printing press was ruinous, even comparing it to an epidemic. And of course there’s the World Wide Web, with its ever growing glut of content and big data.

While writing and books aren’t bad-mouthed anymore (though this may depend on where you are), the age of the Internet may actually be the wave that really overwhelms us. Plato could never have imagined a constant stream of information flashing before your eyes in every waking moment. How can you make sure the content you produce is engaging?

 

Recommendation Matters

Recommendations make navigating the world a little easier. Trusting something is easier knowing it has good reviews or that a friend actively enjoys it. Recommendation systems like Netflix’s movie recommendations or Spotify’s Discover Weekly are a much valued part of their respective platform. It is worth delving into how your work is being recommended - not just shared - especially if you’re in the process of crafting viral strategies. The future of big data is intelligent Recommendation AI that are capable of using all the data that’s out there about what others are reading and enjoying and using that data to recommend relating and engaging content. As machine learning and AI takes off, staying on top of the revolution is something I’d highly recommend.

No more clickbait

I have a bad habit of oversubscribing to email lists. If it seems tangentially related to something I’m interested or doing, I think “why not?” One of my favorites is CBInsights newsletter which focuses on analyzing the data of private companies and their markets. And my favorite thing about them is that their emails is that the subject line sounds natural. As a conscious consumer of content on the internet, I’m more likely to stay engaged if I don’t feel actively manipulated by what I’m looking at. Be cognizant of the articles you're putting out and make sure they're trying to provide real value; not just clicks.

Steal like an artist

Poet and author Austin Rheon’s book Steal Like an Artist lives on my coffee table. It’s small and square and very black, in fact its actual shape looks very artsy and creative. Rheon’s book has an interesting thesis - nothing is completely original and all creative work builds on what came before. And this artsy looking book that I originally bought for its looks holds a capital T Truth. Through the noise of all the information, anybody who cares about putting their work on the internet should be constantly stealing. Their is modern-day Library of Alexandria at all of our fingertips and this way, the Information Age is a blessing. There is so much to take from that there will always be a chance of finding inspiration. The web is full of great content, help showcase some of it by retweeting/curating.


The Business Argument Around Starting an Online Community

Your online community is only sustainable if it makes sense from a business standpoint. Here are some indications of direct ROI.

Read more