May
You’re familiar with this scenario: a business organization runs into a problem they can’t solve in-house, so they turn to your consulting firm to help figure out the solution. The problem turns out to be more complicated than anyone could imagine but thanks to your experience and expertise, you were able to come up with a strategy to solve it for good. Here’s the twist: given the complexity of the problem, the business wants you to back up your solution with something other than your experience and expertise, something that would help them understand what caused the issue and why your strategy is effective in solving it. This way, they can replicate the solution in-house, while also leaving the door open to work with your consulting firm again in the future on another problem.
Photo courtesy of geralt
Why Use Market Research For A Consultancy Project?
If you haven’t yet, this would be the perfect opportunity to partner with a market research company. Your strategies and solutions are mostly born from your experience and expertise, but market research provides you with the data and insights to back up your advice. Sure, you can simply explain that your recommendations work because you’ve seen this happen before with the solutions you provided in the past and therefore it should work this time as well; market research achieves the same effect, except that it does the job with nuanced or layered explanations formed from case studies, working hypotheses, documented observations, referential works, and more.
In some cases where experience and expertise fall short, market research can serve as the foundation from which you develop your strategies and solutions by gaining a deeper understanding of not only the issue at hand but also other relevant factors such as the company, the competition, the customer base, trends, as well as the industry and the market itself, through quantitative and qualitative analysis. Market research goes beyond helping solve company problems; it can also help consulting firms guide their clients’ growth and business, increase brand awareness, and reach sales goals by resonating with their target audience through a data-driven and context-based approach.
Market research can also be key in helping you compete with or stand out from other firms. It can help determine key points in your competitors’ strategies to help differentiate your marketing approach or discover and tap into marketing space or niche audiences that they haven’t targeted. Sure, your competitors can utilize market research just as well, but if they’re only using it to support their existing business solutions and strategies while you leverage it to uncover new answers or innovate specific or contextual tactics for your clients, that can help get you a leg up over them.
Photo courtesy of geralt
How To Conduct Market Research for a Consulting Project
The process for conducting market research for a consulting project can be broken down into a few steps, starting with determining the focus of the research by defining the problem we want to solve or the goal we plan to achieve. In most cases, the focus may already be informed by the client and the project theme itself. From there we’ll shape the primary question we’re looking to answer, then form secondary and tertiary questions out of it, deriving the data types and sources we’re going to need along with the criteria and metrics from which we’ll measure the progress and success of our research.
Next, we’ll pick the research method we’ll be employing, which will be based on the type and sources of data we need and will use. Are you doing primary market research to gather firsthand data from your target audience or the market itself? Are you planning to complement your primary research findings with existing data from external sources through secondary market research?
Interviews, focus groups, and surveys are commonly used when gathering data directly ourselves, but if they fit our needs we can also utilize the top-down or bottom-up approaches. The former approach sees our research start with smaller elements to gain data for insights leading to a larger picture, while the latter has us researching first on a broader level with the resulting data used to learn specifics. We can also refer to previous but similar projects which can help save time and resources, but bear in mind that we might need data specific to the present context to arrive at the ideal solution for that project.
We’ll next proceed to data collection and analysis wherein we’ll observe and record the research process, taking note of any difficulties and divergences, while checking the quality and validity of our data through testing, cross-validation, and the like. We’ll be looking out for patterns, trends, correlations, and even differences, along with their implications and insights. We’ll also use statistical tests, confidence intervals, or error margins to evaluate the reliability and significance of our results.
When presenting our findings, it’s best to deliver what we discovered in a clear and concise yet engaging manner using language and visuals appropriate for our audience. For example, a somber, businesslike tone and straightforward visuals used when presenting to a room of executives and higher-ups might not work as well with a group of creatives. Perhaps communicating your findings in a story-like fashion to the latter might inspire their interest more and get your points across better by stirring their imagination. Visual tools can include reports, presentations, dashboards, or infographics, with highlights focusing not only on key takeaways and recommendations but also on any limitations we encountered or assumptions we made.
Photo courtesy of geralt
How To Find The Right Market Research Group For Your Consulting Firm
Not all market research companies are the same, of course. You’ll find large MR firms that employ different teams for every phase of your consulting project as well as smaller groups with one unit dedicated to overseeing the entire process from start to finish. You would want to go with a market research group that not only has some experience working with consulting firms but also does a regular volume of business with consultancies in the current day. Their experience would most likely translate to a higher understanding of the nature and challenges of your consultancy business in addition to adapting and aligning more easily with your goals and the way you do consulting work.
When interviewing market research teams you’re considering working with, you might want to ask them for any instance or past case history they can share wherein despite limited time, resources, and funds, they were still able to deliver outstanding insights and results. This will indicate how they perform under pressure as well as gauge their competitive drive.
But just because they rose above past difficulties and limitations doesn’t mean you’ll be short with them. On the contrary, you need to ensure your chosen market research team not only has the proper tools and resources but also enough time, room, and funding to help them perform their job well. Their success is, after all, your success. Allow them the freedom to use their discretion to take risks, experiment, or innovate, since the breakthroughs they find can make the difference in the quality and ingenuity of your business strategies compared to that of your competitors.
Let your consulting firm stand out from the rest of the competition with data-driven strategies and insights-based solutions for your clients that high-quality and high-level market research can achieve. Partner with Cascade Strategies and back up your consultancy with groundbreaking methodologies and over three decades of market research experience that other leading US and international companies have benefited from. Contact Cascade Strategies today and find out how we can help your consulting firm solve problems and achieve your goals.
Photo courtesy of 089photoshootings
Apr
Can A Small Market Research Firm Help A Big Tech Company?
jerry97890 comments Brandview World, Burning Questions
Market research has proven itself to be an indispensable and critical tool in helping companies identify their audiences and achieve their marketing goals. As with any tech company, market research groups can come from small or large firms. You might be inclined to go with a larger market research firm because of the common adage “Bigger is better,” but you just might be surprised by what a smaller market research group can accomplish for you and your big tech company.
What makes smaller market research firms different from their larger counterparts? What are the advantages of working with a small market research group? Off the top of your head, you might think that cost-effectiveness is the main reason. But it goes well beyond that. Here are three good reasons why partnering with a small market research firm benefits your big tech company:
Copyright: geralt
One Team from Start to Finish
From the initial sales meeting to the project’s conclusion and implementation of recommendations, you’ll be interacting with the same team throughout. With a larger company, you might need to work with different teams for every phase of the project, and you might find yourself having to repeat yourself now and then, especially with the nuances of what you want or what the project needs. There’s also a risk that certain details and preferences might be overlooked or don’t get passed on as you switch from one team to another as you move through the phases.
Not only is there a seamless transition between stages of the projects with one team, but Cascade Strategies also employs veterans of the industry who bring to the table a potent combination of well-rounded skillsets and experience. Not only are they able to effectively understand your preferences and ideas no matter which phase of the project you’re in, but they also can oversee and recognize the effects of those concepts in the grand scheme of things or when they would come into play.
Copyright: ar130405
Better Communication and Responsiveness
With a smaller but experienced team, communication lines are much more open with members empowered to act or resolve issues when the opportunity arises. A project might encounter delays with a larger firm of multiple teams due to miscommunication (“I wasn’t informed”) or hindrances resulting from the division and distribution of roles and responsibilities (“Not my job”). Thus, a smaller team might also be more available and receptive when it comes to assisting a client whenever they raise a question or concern.
One team alone holding a meeting might slow down the overall progress of others working on the project, so just think of the impact if multiple groups need to take time off for discussions and calibrations. The time multiple teams take for meetings can be time used by a smaller team for revisiting ideas and scenarios until a “breakthrough” is achieved.
You might also find a smaller team is more invested in the project, hence the clearer communication and quicker responses. Multiple teams might be handicapped with multiple projects going on at the same time and the need to meet deadlines. A smaller team might handle more than one case study at once, but given that they’re overseeing the whole thing from start to finish, there exists a passion to get everything done right, and seeing the client and team’s visions come true no matter how big or small a project is.
Copyright: geralt
Culture
Speaking of passion, you might find a smaller market research firm having a more “can do” attitude and approach to your project. Not only that but at Cascade Strategies, we continually push the limits of what can be done and achieved with a project to reach that “breakthrough” that you might not have otherwise found had you gone with a different market research firm. A larger market research company on the other hand might be hustling to come up with conventional or simplistic ideas for you just to meet deadlines and deliverables.
Copyright: Kindel Media
Big Tech Company Case History
Take for example an academic software transformation project Cascade Strategies completed for a large global producer of industrial software. We conducted depth interviews with worldwide universities to develop a working hypothesis that would help formulate an implementation roadmap. We recruited academic decision-makers as respondents from a list provided by the project’s Software as a Service (SaaS) project director and supplemented by our panel. The interviews lasted roughly 45 minutes, with four in each of 16 countries for a total of 64 in-person depth interviews.
The study resulted in a working hypothesis with not one, not two, but three important premises, chief of which revealed that the respondents can be divided into the following two groups: the Elite and the Rank & File. The former are respondents from universities with a sophisticated preference towards the software provided to the students and typically have greater-than-average resources as well as uniform policies regarding software acquisition. The latter came from academic institutions demonstrating a pragmatic and single-task-focused approach to providing software to the students, and they often don’t have the full resources or uniform policies for software acquisition.
The second premise was that industry partnerships create pressure for constant advancement and higher sophistication of the software used for teaching, especially in the pursuit of true industrial replication. The third premise was that the pace of change is overwhelming for the Rank & File — too much for them to manage without guidance and assistance from the industry itself. Software makers who showed themselves willing to support academic institutions in this way we called “Industry Guides.”
Based on these three premises, our working hypothesis was that the software providers should clearly and publicly demonstrate equal concern for the Elite and the Rank & File when it comes to SaaS products and programs. This can be achieved with the re-introduction of product tiers, offering rudimentary beginner-level products such as simple tutorials and help functions as part of efforts to nurture at a basic level and push for industry partnerships, helping drive the Rank and File towards gradual sophistication in the software they use for teaching. Additional research into the needs and wants of the Rank & File could also lead to the creation of broad-based communications programs as well as specific single-university special programs aligned with these efforts.
This case history is one of many examples showing how our market research firm has consistently helped big tech companies for over three decades. From dramatically increased sales to award-winning marketing campaigns, we help big tech companies accomplish their goals and resonate with their target audiences with the valuable and actionable insights produced by the high-level and quality market research we provide. It’s not only our passion but also the high level of human intelligence and imagination we apply that adds a deeper value to the insights we derive for your project outcome.
If you would like your brand to break past ordinary bounds and achieve true excellence in its next campaign, contact Cascade Strategies today and find out how we can help you.
Nov
The Importance of Psychographic Segmentation in Brand Building
jerry97890 comments Brandview World, Burning Questions
What Is Psychographic Segmentation?
So you’ve completed your research on the demographics of your online perfume store and you’ve seen that women in their twenties in Seattle were your top buyers. That’s great, you thought as your mind started to work on the outlines of your next campaign targeted towards these women. However, you discovered upon going through the data one more time that your perfumes are just as popular with forty-something-year-old women in Las Vegas. And when you went to double-check again you discovered another group of women around 25 years old being ardent supporters of your perfumes, but this time they’re from New York.
Now how do you go about your marketing given that you would need to adjust it to target your top demographic? Sure, you’ve identified your best patrons as women between 20 and 50 years old but aside from the different locations, you’re not quite sure now what else sets them apart, which could poke holes in your messaging and cause it to fail to resonate with a number of them.
This exercise shows you the limitations of demographic-based marketing. Demographics answer the question “Who are your buyers?” but in order for your efforts to become more effective, you need to go deeper by answering “Why are they buying?” And this is where psychographic segmentation comes in.
Psychographic segmentation is the process of grouping consumers according to their motivations, goals, attitudes, opinions, beliefs and other psychological factors. It helps you better understand what drives purchase decisions. Not only does psychographic segmentation allow you diversify your marketing and reach out to different groups of consumers, it also allows you to create or customize products or services to cater to the varying needs of your buyers.
Copyright Elf-Moondance (Pixabay)
Why is Psychographic Segmentation Important in Brand Building?
Going back to the earlier scenario, you decided to reach out to your target demographic through an online survey, explaining it would help you understand them and serve their needs better. Based on the responses you received, you discovered that these women between 20 and 50 years old from different states appreciated the sweet-smelling but unique line of perfumes you’ve been selling at cost-effective pricing with efficient delivery times. Thus, the messaging of your next campaign highlighted the popularity of your sweet-scented perfumes, competitive pricing, and quick delivery. And the next time the opportunity presented itself, you even went as far as offering free delivery for a limited time.
Because you’ve used psychographic segmentation to break your market into different groups, you’ve also become aware of your other customer segments, which opened up marketing strategies you could leverage towards these subsets. Let’s say one of these groups was composed of regular clients who — although they didn’t buy as much as the earlier group we’ve discussed — you discovered frequently bought a certain perfume. Upon further research, surveys, and interviews of some of the members of this segment, you found that you’re the only online perfume shop that carried this fragrance. This then allowed you to branch out with new marketing which put a spotlight on the fact that this hard-to-find scent could only be bought at your online store, tapping into more potential customers falling under this segment. This also opened up more research on what fragrances your competitors didn’t offer but which your brand carried as well as the development of new unique perfumes that one wouldn’t find anywhere else online.
Psychographic segmentation not only gave you an understanding of the “why” behind purchases, it also granted you actionable insights on selling more of your products. With this data-driven approach, your brand is able to create different marketing playbooks for your various customer segments. The buyer’s journey would be different per customer, but in their minds there is only one brand that’s on top when it comes to a selection of unique scents at great prices and fast turnaround time for delivery.
Copyright Mohamed_hassan (Pixabay)
What Are Psychographic Segmentation Variables?
So how do you group your market according to your psychographic segmentation data? While there are several types of psychographic data on which you could base the customer segments you’ll be forming, indeed.com listed the following as the five main psychographic segmentation variables:
1. Personality – This variable refers to the beliefs, motivations, behaviors, and overall outlook of your target audience. You can group your customers based on personality traits like creativity, sociability, optimism, empathy, etc.
2. Lifestyle – This variable focuses on the daily habits and preferences of a customer, including how they spend their time and things they consider important.
3. Social class – This variable assumes preferences based on income level and spending power. It can also influence how a product is priced or whether it should be marketed as a luxury.
4. Attitudes – This variable considers the behavior of a customer based on their background and values. An example would be an animal lover who leans towards perfume brands that are known to be cruelty-free, meaning they don’t test their products on animals.
5. AIO (Activities, Interests and Opinions) – This variable groups consumers based on what they similarly enjoy or are passionate about. The second scenario earlier where you discovered the subset of regular customers purchasing the hard-to-find fragrance is an example of this variable.
Copyright geralt (Pixabay)
Personas vs. Psychographic Segmentation
While it might be easy to confuse psychographic segmentation with personas, these two concepts are subtly different. Psychographic segmentation groups your markets according to similar psychological traits and can therefore present a whole-market picture of consumers, spanning the range from those who passionately love your market offering to those who dislike it or resist it. This whole-market look also gives you the ability to attach real numbers to the data, enabling you to do things like demand forecasting, market sizing, receptivity studies based on counts of prospects, and the like.
Personas, on the other hand, are profiles — portraits of individual persons. They are more specific, detailed, and focused. Think of a police profile of a crime suspect (just the format of it, not the content.) A well-drawn persona presents a fictionalized representation of your ideal buyer, with information about key traits of that person. You might describe these traits by saying something like “likes to splurge on expensive vacations,” or “typically employed in middle-echelon white-collar jobs like administrative staff, etc.” The persona provides a vivid description of that individual, so you can better understand how to appeal to that kind of person with marketing campaigns and other forms of brand outreach. A good persona description humanizes the data and gives it a relatable face.
Please click here to find out more about segmentation studies, including some interesting case histories. Cascade Strategies has for over three decades been assisting top US and international companies with high quality market research and superior thinking in identifying and focusing on their most profit-optimal consumers. If you would like to find out more, or learn how Cascade Strategies can help provide brand development research for your specific marketing needs, feel free contact us here.
Sep
What It Means to Choose or Decide In The Age of AI
jerry97890 comments artificial intelligence, Burning Questions
Longstanding Concerns Over AI
From an open letter endorsed by tech leaders like Elon Musk and Steve Wozniak which proposed a six-month pause on AI development to Henry Kissinger co-writing a book on the pitfalls of unchecked, self-learning machines, it may come as no surprise that AI’s mainstream rise comes with its own share of caution and warnings. But these worries didn’t pop up with the sudden popularity of AI apps like ChatGPT; rather, concerns over AI’s influence have existed decades long before, expressed even by one of its early researchers, Joseph Weizenbaum.
ELIZA
In his book Computer Power and Human Reason: From Judgment to Calculation (1976), Weizenbaum recounted how he gradually transitioned from exalting the advancement of computer technology to a cautionary, philosophical outlook on machines imitating human behavior. As encapsulated in a 1996 review of his book by Amy Stout, Weizenbaum created a natural-language processing system he called ELIZA which is capable of conversing in a human-like fashion. When ELIZA began to be considered by psychiatrists for human therapy and his own secretary interacted with it too personally for Weizenbaum’s comfort, it led him to start pondering philosophically on what would be lost when aspects of humanity are compromised for production and efficiency.
Copyright chenspec (Pixabay)
The Importance of Human Intelligence
Weizenbaum posits that human intelligence can’t be simply measured nor can it be restricted by rationality. Human intelligence isn’t just scientific as it is also artistic and creative. He remarked with the following on what a monopoly of scientific approach would stand for, “We can count, but we are rapidly forgetting how to say what is worth counting and why.”
Weizenbaum’s ambivalence towards computer technology is further supported by the distinction he made between deciding and choosing; a computer can make decisions based on its calculation and programming but it can not ultimately choose since that requires judgment which is capable of factoring in emotions, values, and experience. Choice fundamentally is a human quality. Thus, we shouldn’t leave the most important decisions to be made for us by machines but rather, resolve matters from a perspective of choice and human understanding.
AI and Human Intelligence in Market Research
In the field of market research, AI is being utilized to analyze a multitude of data to produce accurate and actionable results or insights. One such example is deep learning models which, as Health IT Analytics explains, filter data through a cascade of multiple layers. Each successive layer improves its result by using or “learning” from the output of the previous one. This means the more data deep learning models process, the more accurate the results they provide thanks to the continuing refinement of their ability to correlate and connect information.
While you can depend on the accuracy of AI-generated results, Cascade Strategies takes it one step further by applying a high level of human thinking. This allows Cascade Strategies to interpret and unravel insights a machine would’ve otherwise missed because it can only decide, not choose.
Take a look at the market research project we performed for HP to help create a new marketing campaign. As part of our efforts, we chose to employ very perceptive researchers to spend time with worldwide HP engineers as well as engineers from other companies.
This resulted in our researchers discovering that HP engineers showed greater qualities of “mentorship” than other engineers. Yes, conducting their own technical work was important but just as significant for them was the opportunity to impart to others, especially younger people, what they were doing and why what they were doing was important. This deeper level of understanding led the way for a different approach to expressing the meaning of the HP brand for people and ultimately resulted in the award-winning and profitable “Mentor” campaign.
If you’re tired of the hype about AI-generated market research results and would like more thoughtful and original solutions for your brand, choose the high level of intuitive, interpretive, and synthesis-building thinking Cascade Strategies brings to the table. Please visit https://cascadestrategies.com/ to learn more about Cascade Strategies and more examples of our better thinking for clients.
Aug
The Future Is Here
“Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
With just 22 words, we are ushered into a future once heralded in science fiction movies and literature of the past, a future our collective consciousness anticipated but has now taken us by surprise upon the realization of our unreadiness. It is a future where machines are intelligent enough to replicate a growing number of significant and specialized tasks. A future where machines are intelligent enough to not only threaten to replace the human workforce but humanity itself.
Published by the San Francisco-based Center for AI Safety, this 22-word statement was co-signed by leading tech figures such as Google DeepMind CEO Demis Hassabis and OpenAI CEO Sam Altman. Both have also expressed calls for caution before, joining the ranks of other tech specialists and executives like Elon Musk and Steve Wozniak.
Earlier in the year, Musk, Wozniak, and other tech leaders and experts endorsed an open letter proposing a six-month halt on AI research and development. The suggested pause is presumed to allow for time to determine and implement AI safety standards and protocols.
Max Tegmark, physicist and AI researcher at the Massachusetts Institute of Technology and co-founder of the Future of Life Institute, once held an optimistic view of the possibilities granted by AI but has now recently issued a warning. He remarked that humanity is failing this new technology’s challenge by rushing into the development and release of AI systems that aren’t fully understood or completely regulated.
Henry Kissinger himself co-wrote a book on the topic. In The Age of AI, Kissinger warned us about AI eventually becoming capable of making conclusions and decisions no human is able to consider or understand. This is a notion made more unsettling when taken into the context of everyday life and warfare.
Working With AI
We at Cascade Strategies wholeheartedly agree with this now emerging consensus and additionally, we believe that we’ve been obedient in upholding the responsible and conscientious use of AI. Not only have we long been advocating for the “Appropriate Use” of AI, but we’ve also made it a hallmark of how we find solutions for our client’s needs with market research and brand management.
Just consider the work we’ve done with the Expedia Group. For years, they’ve utilized a segmentation model to engage with their lodging partners by offering advice that could lead to the partner winning a booking over a competitor. AI filters through the thousands of possible recommendations to arrive at a shortlist of the best selections optimized for revenue.
With the continued growth and diversification of their partners, they then needed a more effective approach in engaging and appealing to them, something that focuses more on that associate’s behavior and motivations. We came up with two things for Expedia: a psychographic segmentation formed into subgroups based on patterns of thinking, feeling, and perceiving to explain and predict behavior, and more importantly, a Scenario Analyzer that utilizes the underlying AI model but now delivers recommendations in very action-oriented and compelling messaging tailor-fit for that specific partner.
The best part about the Scenario Analyzer is whether the partner follows any of the advice recommended or does nothing, Expedia still stands to make a profit while maintaining an image of personalized attentiveness to their partner’s needs. And ultimately, it’s the partner who gets to decide, not the AI.
Copyright Tara Winstead
Our Future With AI
This is how we view and approach AI- it’s not the end-all, be-all solution but rather an essential tool in increasing productivity and efficiency in tandem with excellent human thinking, judgment, and creativity. Yes, it is going to be part of our future but in line with the new consensus, we believe that AI shaped by human values and experience is the way to go with this emerging and exciting technology.
Aug
How Can Healthcare Companies Identify Who Needs Remediation Programs?
jerry97890 comments artificial intelligence, Burning Questions
What Is Remediation?
The Cambridge Dictionary defines remediation as “the process of improving or correcting a situation.” Remediation programs are commonly employed in teaching and education wherein they address learning gaps by reteaching basic skills with a focus on core areas like reading and math. And as pointed out in an understood.org article, remedial programs are expanding in many places in our post-COVID 19 world.
In healthcare, there’s a wide range of remediation programs, or “remedial care,” diversified based on their end goal which may include smoking cessation, anti-obesity, weight reduction, diet improvement, exercise, heart-healthy living, alcoholism treatment, drug treatment, and more. But how do you identify the people who need remedial care the most?
Who Needs Remediation?
You might say you can tell who needs remedial care by just looking at the physical aspect of the prospective patient, but this is a shortsighted answer to the question. And what about those who need remedial care for a heart-healthy lifestyle? Surely you can’t tell a likely candidate for this remediation program with just one look alone.
It goes deeper than that. What if you, a healthcare representative, could only devote remedial care to a select few individuals given limited resources and time but you want to make sure that the whole remediation program is successful by achieving its intended goals? Just imagine all that time, effort and resources spent only for the patient to relapse back into their old ways not too long after program completion- or even in the middle of the remediation process itself.
Deep Learning and Remediation
This is where deep learning comes in. Also known as hierarchical learning or deep structured learning, Health IT Analytics defines deep learning as a type of machine learning that uses a layered algorithmic architecture to analyze data. In deep learning models, data is filtered through a cascade of multiple layers, with each successive layer using the output from the previous one to inform its results. Deep learning models can become more and more accurate as they process more data, essentially learning from previous results to refine their ability to make correlations and connections.
Deep learning models handle and process huge volumes of complex data through multi-layered analytics to provide fast, accurate, and actionable results or insights. When applied to the scenario we mentioned beforehand, deep learning filters through that multitude of patient data and prioritizes those who need remedial care the most.
You can also align its findings to effectively identify individuals who will not only return monetary value to your healthcare brand, but at the same time are most likely to “engage” or participate in programs offered by your company, such as wellness, diet, fitness or exercise. They can also be the best people to commit to avoiding poor lifestyle choices, such as overeating, smoking, and alcohol, helping guarantee the success of the remediation program.
With a combination of three decades of market research experience and conscientious use of AI, Cascade Strategies has been helping healthcare organizations develop advanced models to handle, filter and identify the likeliest of candidates for their program purposes. Cascade Strategies helps industry professionals not only recognize their ideal customers but also reach out to them with some of the most effective and award-winning marketing campaigns, thanks to our array of services such as Brand Development Research and Segmentation Studies. To see more examples of how we help leading worldwide companies achieve their goals, please visit our website.
Here are some of our suggestions for further reading on deep learning and healthcare:
https://builtin.com/artificial-intelligence/machine-learning-healthcare
https://research.aimultiple.com/deep-learning-in-healthcare/
https://healthitanalytics.com/features/types-of-deep-learning-their-uses-in-healthcare
Aug
The Impact of AI
In The Age of AI, which Henry Kissinger co-wrote with Eric Schmidt and Daniel Huttenlocher, Kissinger tried to warn us that AI would eventually have the capability to come up with conclusions or decisions that no human is able to consider or understand. Put another way, self-learning AI would become capable of making decisions beyond what humans programmed into it and base such conclusions on what it deems the most logical approach, regardless of how negative or devastating the consequences can be.
A common example to illustrate this point is how AI had already transformed games of strategy like chess, where given the chance to learn the game for itself instead of using plays programmed into it by the best human chess masters, it executed moves that have never crossed the human mind. And when playing with other computers that were limited by human-based strategies, the self-learning AI proved dominant.
When applied to the field of warfare, this could possibly mean AI proposing or even executing the most inhumane of plans regardless of human disagreement simply because it considers such a decision the most logical step to take.
The Influence of AI
As part of Kissinger’s warning, it’s been noted just how far-reaching AI’s influence already is in modern life, especially with its usage in innocuous things such as social media algorithms, grammar checkers, and the much-hyped ChatGPT. With the growing dependency on AI, there runs the risk of human thinking being eclipsed by machine-based efficiency and effectiveness. And how it arrives at such efficient and effective decisions becomes questionable because it could become difficult or near impossible to trace what it has learned along the way.
Just imagine someone making a decision influenced by the information fed to them by AI and yet failing to rationalize the thinking behind such a decision. That particular human may not realize it, but at that point they’re living in an AI world, where human decision-making is imitating machine decision-making rather than the reverse. It was this interchangeability Alan Turing was referring to with his famous postulate about artificial intelligence — the so-called “Turing Test” — which holds that you haven’t reached anything that can be fairly called AI until you can’t tell the difference.
Copyright Pavel Danilyuk
Appropriate Use of AI
However, it’s been pointed out that the book doesn’t follow “AI fatalism,” a common belief wherein AI is inevitable and humans are powerless to affect this inevitability. The authors wrote that we are still capable of controlling and shaping AI with our human values, its “appropriate use” as we at Cascade Strategies have been advocating for quite some time. We have the opportunity to limit or restrain what AI learns or align its decision-making with human values.
Kissinger had sounded the warning while others had already made calls to start limiting AI’s capabilities. We are hopeful that in the coming years, with the best modern thinkers and tech experts at the forefront, we progress to more of an AI-assisted world where human agency remains paramount instead of an AI-dominated world where inscrutable decisions are left up to the machines.