by William Walsh | Mar 10, 2024 | 2024
As previously published on 3/7/24 in MarTech
Every year, B2B marketers gather in Scottsdale, Ariz., to mingle and talk shop. This year, they talked a lot about AI.
The B2B Marketing Exchange (B2BMX) conference takes place annually in late February or early March at The Phoenician hotel in Scottsdale, Ariz. I was in attendance, along with a good 250 to 300 marketers. It was my first event since before the COVID-19 pandemic. Toss in representatives from about 75 vendors and the event was thick with pitches, presentations and promotions.
My goal for the three-day event was to check out and learn more about new technologies from the sponsors and gain insight into the top issues that practitioners are wrestling with day-to-day.
Here are my takeaways:
The major themes of B2BMX 2024
Artificial intelligence was everywhere
AI was everywhere — the vendors in the exhibit areas, the presentations and in conversation. That said, I didn’t really see anything that knocked my socks off. A bunch of generative AI content tools were on the vendor floor and featured in presentations, but nothing that was game changing.
Vendor consolidation
Vendor consolidation was not necessarily an official event theme, but martech consolidation was a definite vibe. From what I heard from vendors and marketers, the day of reckoning is upon us. Marketers are drilling into ROI, contract terms, spend and functionality. Ironically, Scott Brinker’s Chiefmartec newsletter came out during the event and announced that SaaS martech stacks shrunk 8% from 2023 to 2024. I expect that number to be much higher next year.
My favorite sessions
Keynote
Dan Gingiss, author of “The Experience Maker,” presented a lively and entertaining discussion of his WISE framework for creating notable customer experiences. Here’s the key point from his presentation: If something is expected or “normal” do the opposite. But to do that, you have to make time for it. Too many people are just going through the motions. To create truly memorable experiences, you have to take the time to think about it. It doesn’t have to be complicated. It can be as simple as how you respond to a customer on the phone. In fact, one of his examples was hold music.
Favorite workshop session
My favorite workshop was called “From Strategy to Tech Stack.” I actually never got to see the presentation — they couldn’t get the projector to work. So it became a “fireside chat” with Megan Crone from Palo Alto Networks and Amy Holtzman from CHEQ. The topic centered around cybersecurity for marketers, specifically protecting pay-per-click campaigns from bots. We’ve long known that bots are a nuisance on blogs, etc., but AI bots have become much more sophisticated in evading standard bot protection mechanism like CAPTCHA.
Most interesting vendors
- Writer. Writer is probably the best LLM (generative AI content) provider of the bunch with an impressive client list to boot. The template-driven approach was smart and well thought out.
- CHEQ. CHEQ is the vendor I didn’t know I needed. It’s ugly out there, and getting more dangerous every month. This is the tool you need to protect your marketing investments.
- The B2BMX event app. To me, the most impressive technology I experienced was the event app itself. The app allows you to customize your agenda, reach out and connect with others, download the presentations, track your points for visiting with vendors and apply the points you earned to SWAG.
Best vendor SWAG
Speaking of SWAG…
I don’t know if it was the “best,” but I will say it was the most usual giveaway I’ve seen at an event: an eye mask. But here’s the funny thing, there is no company branding on it so I don’t remember the vendor. A stand out giveaway with no branding… hello, marketing?!
Final word
B2BMX is an event for practitioners: managers, senior managers and director level attendees. I was surprised that many of the sessions didn’t reveal new insights (particularly relating to ABM) despite the fact that I hadn’t been to a conference in nearly five years.
It left me with the impression that we are still chasing the shining new technology instead of performance improvement. As an example, the sessions with the highest attendance (from what I observed) all had AI somewhere in the title or description.
by William Walsh | Jul 11, 2023 | 2023
As previously published on 6/28/23 in MarTech
By Scott Gillum
Estimated read time: 5 Minutes
What if they are wrong?
When responding to questions about AI replacing humans in certain roles, most ‘experts’ claim that AI will replace some jobs, but will be a much more valuable tool for augmenting human intelligence and ability.
In all of the hype associated with this latest technology wave, an important trend is occurring across industries that could significantly change the impact of AI – the retirement of the knowledge worker.
We need to look no further than the last wave of intelligent technology – the “internet of things” (IoT) to see the impact.
The term ‘Internet of Things’ was coined in 1999 by computer scientist, Kevin Ashton. While working at Procter & Gamble, Ashton proposed putting radio-frequency identification (RFID) chips on products to track them through a supply chain.
“Machines talking to machines” started rolling out in early/ mid 2010 making their way into manufacturing, precision agriculture, complex information networks, and for consumers in a new wave of wearables.
Now, having about a decade of experience of how IoT has impacted certain industries and markets, perhaps it can give us some interesting insights on the future of AI.
In 2010, Cisco launched the “Tomorrow Starts Here” IoT campaign at the time when communication networks were transitioning from hardware “stacks” to software development networks (SDN).
The change meant that in order for carriers to expand their bandwidth, they no longer needed to “rip and replace ” hardware. They only needed to upgrade the software. This transition began the era of machines monitoring their performance and communicating with each other, with the promise of one day producing self healing networks.
Over this same period, network engineers who ushered in the transition from an analog to digital began retiring. These experienced knowledge workers are often being replaced by technicians who understand the monitoring tools, but not necessarily, how the network works.
Over the last dozen years networks have grown in complexity to include cellular, and the number of connections has grown exponentially. To help manage this complexity, numerous monitoring tools have been developed and implemented.
The people on the other end reading the alerts see the obvious, but have a difficult time interpreting the issue, or what to prioritize. The reason is, the tool knows there is an issue but is not smart enough yet to know how to fix it or if it will take care of itself. Technicians end up chasing “ghost tickets,” alerts that have resolved themselves, resulting in lost productivity.
The same thing is repeating itself in marketing today. As one CMO told me; “I can find people who know the technologies all day long, but what I can’t find is someone who thinks strategically. Ask a marketing manager to set up the tools and run a campaign and they have no problem, but ask them to write a compelling value proposition or offer for the campaign, and they will struggle.”
It’s easy to get sucked into the tools. AI generators are really intriguing and can do some amazing things. But based on what we have seen, the tools are not smart enough to fully deliver on their promise…yet.
Here’s the warning from IoT – as tools become more knowledgeable, the workforce operating them is becoming less. It is leaving a knowledge gap. As that knowledge is transferred from worker to machine, we need to ask ourselves what we’ll be left with. Will there be enough experience and expertise in our workers to know if what comes out of the machine is accurate, factitious, or even dangerous.
In a recent WSJ article, Melissa Beebe, an oncology nurse, commented on how she relies on her observation skills to make life-or-death decisions. When an alert said her patient in the oncology unit of UC Davis Medical Center had sepsis, she was sure the AI tool monitoring the patient was wrong.
“I’ve been working with cancer patients for 15 years so I know a septic patient when I see one,” she said. “I knew this patient wasn’t septic.”
The alert correlates elevated white blood cell count with septic infection. It didn’t take into account that this particular patient had leukemia, which can cause similar blood counts. The algorithm, which was based on artificial intelligence, triggers the alert when it detects patterns that match previous patients with sepsis.
Unfortunately, hospital rules require nurses to follow protocols when a patient is flagged for sepsis. Beebe could override the AI model, if she gets doctor approval, but faces disciplinary action if she’s wrong. It’s easy to see the danger of removing human intelligence in this case, it also illustrates the risk associated with over relying on artificial intelligence.
AI will free us from low value tasks, and that is a good thing, but we need to redistribute that time to better developing our people, and our teams. The greatest benefit from these game changing technologies in the business to business environment will be realized when we combine equal amounts of human intelligence with machine intelligence.
by Sonita Reese | Sep 25, 2019 | 2019, Observations
by Glen Drummond
Estimated read time: 6 minutes
Part Two in a two part series
Recently, I published an article with a provocative observation. While much attention has been devoted to the need for organizations to adopt Artificial Intelligence as a core capability, we should consider an even-more-pressing need for “artificial empathy.”
If you did not read part-one, I’ll retrace some footsteps here. The corporation is a creature of human invention. But the creature has grown so enormously in its size, capabilities ,and power, that we the people now encounter a diminishing sense of agency for ourselves and an increasing sense of agency for corporations to shape our future on issues including privacy, equality, safety, the environment, and the behavior of public institutions that once governed these things. Not to mention the stuff of everyday experience: stupid IVRs, impenetrable clam-shell packaging, and infuriating password implementations, just to name a few.
The ramifications of this observation extend beyond marketing strategy. But still, people who think deeply about the relationship between people and brands will play a role in how this narrative unfolds.
And here’s why: In our fast-thinking minds, we perceive the brands that stand for corporations as if they were other people.
Now, people – except for sociopaths – are naturally empathetic. And moreover, we expect them to be so. When we sense a sociopath, the hair on our neck springs, and adrenalin shocks our bloodstream.
As social creatures, we are born pre-wired with miraculously-adapted endocrine and neurological systems that reinforce our empathy in a positive feedback system known as friends and family, community and kin. But corporations are not born with anything of the sort.
Do you see the problem?
At least in our hearts, we have an expectation for brands to behave in a way that they are poorly equipped to fulfill. Expectations disappointed are brands diminished.
Organizational scale amplifies this problem. (We all know what “faceless corporation” means.) So does the doctrine of maximizing shareholder profits. Are there signs that both society and corporate leaders are beginning to discern that the corporation has gained such power, that the power needs to be matched with greater empathy? The recent “statement of social purpose” by 181 corporate leaders suggest this might be so.
The question is how? Some people who read my first post may have been under the impression that I had a plan for how “artificial empathy” could be created. Rest assured this was far from the case. I’m sympathetic to the aspirations of the customer experience movement, but I’m skeptical those aspirations are advanced by continuing to ask socially clueless questions that amount to: “How do you like me now?”
Still, having once stumbled upon the problem of artificial empathy, it’s tempting to speculate. So, with apologies for pairing a ten dollar question with nickel and dime answers, here are some preliminary thoughts.
Biomimicry
If you’re familiar with the literature on biomimicry – you will know that many industrial inventions begin with the observation of patterns in nature. Could we re-conceive the information systems used by corporations through this lens?
In that case, the challenge of “artificial empathy” would cause us to think about a system involving a sensory apparatus, a cortex that integrates the signals from the senses, real-time feedback, amplifier mechanisms and so on.
It does not take long to see that analogues for each of these things already exist within the information systems of corporations – but what’s lacking is an architecture marshalled by the imperative of empathy.
For humans as social creatures – empathy is essential for survival. Embracing the biomimicry idea in an IT architecture geared to artificial empathy would mean that the selfish subjectivity of the corporation would need to be subjugated to human experience and dignity. Do we have engineers this creative and leaders this courageous?
Philosophy
There is a branch of philosophy, “epistemology,” that deals with the question of how we know what we know. Historically, for corporations, and indeed any large organization, to operate at scale has required that an internal representation of customers and prospects is shared across the organization. Sometimes this internal representation goes out of date. Sometimes it is simply wrong-headed from the start. Invariably this internal representation is reductive.
Done well, the disciplines of customer segmentation and personas offer steps in a journey away from the most reductive internal representations of the corporation’s publics. But too often in practice, people mistake the map for the territory. In a product-centric world-view with no imperative for empathy, mistaking the customer map for the territory is standard operating procedure – “best practice” even. In a corporation seeking to attain the capacity of artificial empathy these old habits must die.
While corporations have raced to hire data scientists and put them to work on the analysis of customer behavior and customer responses to various stimuli, they have not been as quick or adept at hiring and training people in the discipline of keeping separate the map from the territory while the study of people is underway.
The pairing of these disciplines feels important going forward. Data scientists are in demand now. Data scientists with a flair for philosophy will be the rarest and most valuable of all.
Artificial Intelligence
Setting aside the semantic arguments about the existence of AI, we now can access algorithmic tools that can explore data-sets to find multiple features of interest about people, and discover patterns of difference, similarity and prediction that are more subtle than those derived from averages, demographic co-variates, single-touch attributions, and the other mainstays of traditional customer analytics.
Indeed, if we are going to operate with less reductive representations for people, and if we are going to simulate the biological mechanisms of empathy within a corporation, artificial intelligence may be the disruptive game-changing technology that finally enables meaningful progress against a problem that has been building for some time.
Final Thoughts
None of these answers by themselves is a prescription for artificial empathy. The confluence of all three may point in a worthy direction. Still, some journeys are worth taking, even when the destination is distant and the route uncertain.
This might be one.
Get more thoughtful content on how to ‘think differently’ on marketing, business, and work by subscribing to our newsletter.
by Sonita Reese | Jun 28, 2019 | 2019, Observations
by Glen Drummond
Estimated reading time: 7 minutes
Part One in a two-part series
Empathy. It’s such a defining human quality, you could say it’s in our bones. For sure, it’s in our brains. Neuroscience reveals that we have “mirror neurons” that cause other people’s emotional experiences to become our own. That concept would be astonishing if it were not so familiar. Empathy runs in our veins. The hormone oxytocin – makes us closer to those we’re close with.
Beyond this, there are the mental gadgets that history has draped on our biology. For instance, our fine-tuned sense of justice, fairness, and balance. These qualities also incline us to prosocial behavior, such as helping a stranger on the street, supporting a local non-profit, separating our recycling…
So if empathy comes naturally, why call for “Artificial Empathy?” (Presuming, of course, that such a thing could even be possible?) The answer begins with an observation about a trend in scale. Human nature developed over a long period in which there were rewards for co-operation within groups and competition between groups. But compared to today, the groups were small. It’s not clear that biologically-rooted empathy equips us adequately for the scale-change.
It’s not merely that there are more of us, although the human population has tripled since 1945. It’s that the nature of connectivity between us is transformed. As members of media-fueled electorates, our mood-swings are damaging institutions that took centuries to build. As members of a global economy, our collective emissions are generating planet-scale impacts on the environment.
There are broad conversations underway about these forms of our connectivity. Less so about our participation in corporations. Arguably, no prior form of connectivity rivals the modern corporation’s capacity to pursue its objectives with such speed, scale and precision
And big corporations are getting bigger. The World Bank reported in 2016 that among the 100 largest revenue-collecting entities in the world, 69 are corporations; 31 are nation-states. A decade ago, the US Supreme Court awarded corporations a human right: freedom of speech. The Danish government has appointed an Ambassador to liaise between the midsized nation and giant tech corporations.
If you have spent your career inside corporations, you know there are instances where scale acts as a liability as much as a strength. The world knows that something went wrong at Volkswagen, at Facebook, at United, at Boeing. And while the particulars are different, the circumstances rhyme. A group of people sincerely felt it was their job to do something that the public would come to hate and the owners would come to regret. What corporation is free from this risk?
So why does business need “Artificial Empathy?” It’s partly because natural empathy is poorly matched to the scale of the modern corporation. And it’s partly because the consumer and the public are not going to let corporations off the hook for un-empathetic behavior.
Here’s the basis for my confidence in that second observation. People imagine brands as if they were other people. The marketing practice of managing brands using a system of archetypal characters speaks to this fact. So does the blow-back that follows when corporations act in notably inhuman ways. There’s even neuro-imaging research that shows we look at logos and faces in surprisingly similar ways.
So here, in a nutshell, is why brands need artificial empathy:
- Because we imagine brands as if they were other people, and
- Because we expect other people to be inherently empathetic, so
- We also expect brands to be inherently empathetic too, and
- Brands have no natural capacity to fulfill this expectation
This fabric of observations explains a lot. Corporations, pursuing their interests without paying attention to this prevalent expectation, violate customer trust. And sometimes, public trust too.
Only on the rare occasion does this violation happen in the dramatic ways cited in the cases of Volkswagen’s emissions masking or Cambridge Analytica’s democracy hacks.
Far more common are violations so banal they barely register. Robotic voice response systems that remind you: “please continue to hold, your call is important to us.” Departure lounges that add acoustic assault to the list of insults suffered by air passengers. Manipulative marketing and sales tactics like the email that arrived this morning in my inbox, by no coincidence, at 9:18 AM with the subject header, “9:00 AM Meeting.”
Viewed through the lens of empathy, (and the lack thereof) the distinction between the dramatic and undramatic instances becomes only a distinction of degree, not kind. And that observation is potentially helpful because it offers some guidance on what needs to be done.
Now, you might say, “Ah, you’re talking about customer experience,” and yes, in a way that’s true. But insofar as the term “customer experience” stands for a department, a performance measure or one in a set of parallel business disciplines, a “customer experience” capability will only act on symptoms while failing to address the root cause. (Sociopaths are known, after all, for their ability to charm.)
Or, you might say, “Ah, so you’re talking about corporate governance.” And yes, again in a way that’s true. But how much real capacity do the people charged with such weighty responsibilities have to intervene in the minor daily violations of the customer’s expectation of empathy? It’s been observed for some time, that “The road to hell is paved with good intentions.”
Since empathy violations appear to take place despite the ubiquity of “customer experience” and “corporate governance” functions the empathy gap – the delta between customer expectations of empathy and the level of empathy corporations are presently organized to muster – is a real business problem.
It seems like a problem that would be worth taking risks to explore, based on the value of the potential outcome if it could be solved.
To summarize, let’s retrace our steps.
- Corporations are large, powerful, engines of collective influence and action.
- They are growing increasingly large, powerful, and influential in the lives of people.
- People expect them to act empathetically, but corporations have no natural inherent capacity, like people do, to fulfill that expectation.
- So, we should expect the empathy gap will grow with the power and reach of corporations, until such time as either corporations design a technology of empathy – “artificial empathy” if you will – or face a more concerted backlash directed at individual brands (“United breaks guitars”), at industry sectors (say, “big tech,”) and at corporations in general.
Despite all the technical progress, investment and hype devoted to it, there remains a debate over whether “artificial intelligence” (AI) actually exists. The concept of “artificial empathy,” if it were to enter the public discussion, would be subject to a similar philosophical challenge.
So why talk about it at all?
Because corporations have plenty of resources for tackling challenges once they can be identified. This one is staring us in the face.
Since the processes, which we call “artificial intelligence” will inevitably shape more of the experiences that corporations project and customers and the public will absorb, is there any question that the need for artificial empathy will grow with each passing day?
The conjunction of “artificial” and “empathy” is a provoking framing of a problem that exists. It matters greatly to a corporation’s stakeholders and deserves far more rigorous thinking and effort than has been devoted to it thus far. Rather than being a zero-sum game, “artificial empathy” will be a project that aligns the interests of shareholders, employees, customers, and the public. Rather than being a departmental problem, “artificial empathy” will require a systems-level response.
I’ll leave for a subsequent article the questions of how “artificial empathy” might work and what resources it might draw upon. For now, suffice it to say if corporations need empathy and don’t have it as a natural quality, then the commercial incentive is there to synthesize it.
The ingenuity and organized effort that has made predictive science – machine learning, deep learning, expert systems, big data, or more generally, “artificial intelligence” – such an important component of corporate strategy today, provides at least a framing metaphor for this initiative – and maybe some important tools too.
But intelligence (natural or artificial) is no substitute for empathy. No matter what strides we make in AI, brands need to make progress now on Artificial Empathy. And if AI begins to make strides on its own, there’s a good chance brands will need to pick up the pace.
Don’t miss out on what’s new at Carbon Design Co., join our email list here!
by scott.gillum | Jul 20, 2017 | 2017, Observations
There is a grocery store a few miles from my house. It’s small and older, at least thirty years in its current location. Usually, the shelves are poorly stocked with a limited selection compared to the newer stores surrounding it. Despite these facts, the store manages to stay in business which is somewhat hard to comprehend given the cut throat, low margin nature of the industry. It survives because it has a secret weapon.
His name is Andres. He’s a cashier and has been at the store for twenty plus years. Andres speaks five languages and knows most of the customers by name, typically, greeting them in their native language. He knows where everything is, or isn’t, and if it’s not there he knows when it will arrive. He is the store.
While some customers, like my wife, frequent the store because it’s convenient, and quick, as long as the item is on the shelve. The majority of the customers go because of Andres. The store is in an affluent international neighborhood with many retirees. These core customers have time to shop and chat with Andres. For them, a trip to the store is an experience, not an errand. I haven’t seen the numbers, but I would guess that the revenue per square foot is why it survives.
The interesting thing, having worked with B2B companies for the past twenty years, is that many of my past clients also have an “Andres.” His, or her name may be different, but their role inside their organizations are not unlike Andres. They know the customers, how to get things done, where the “dead bodies” are buried, and how to navigate the complexity of the organization. They are the company.
As organizations rapidly move to “digitalization” and look for AI to play a larger role in customer interactions, they need to consider the importance of these essential employees. Like the grocery store, there are customers who may be highly profitable that aren’t doing business with your company because it’s convenient or fast. They are and have been customers, because of the experience. And a good portion of that experience is shaped by the “Andres” of the organization.
As other grocery stores move quickly to eliminate cashiers, Andres’s store has no self-checkout or online store pickup. Management seems to recognize the importance of the shopping experience, which seems to make up for the lack of selection and inventory. As your organization moves toward the future, does the management team fully understand that not all customers are the same, or want the same things. They may also speak separate languages and while self-service may work well for some, others want the full experience, which may include a personal conversation with their “Andres.”
