by twieberneit | Apr 14, 2023 | Blog |
Generative AI is here to stay. It is not only a hype that probably gets worse before it gets better. And we clearly still are in a hype, as the following chart showing the search interest for ChatGPT between October 1, 2022 and April 12, 2023 from Google Trends shows. Similarly, the Gartner Group sees Generative AI technology approaching the peak of inflated expectations in its 2022 hype cycle for artificial intelligence. To be sure, we see only the tip of the iceberg when looking at voice, text or image based services that we all know and use. The Gartner Group also foresees many industrial use cases reaching from drug and chip design to the design of parts to overall solutions. You think that these scenarios lie far in the future? Read this Nature article from 2021 and think again. And in contrast to some of the other hypes that we have seen in the past few years, there are actual use cases that support the technology’s survival of the trough of disillusionment. As there are viable use cases, unlike “Metaverse”, Blockchain or NFTs have shown, generative AI is not a solution in search of its problem. Apart from OpenAI’s GPT and Dalle-E models that surely caught everybody’s attention in the past weeks and months, there are a good number of large language models that are just less known. A brief research that I recently conducted, unearthed more than 50 models that got published over the past few years. For their paper A Survey of Large Language Models that focuses on “review[ing] the recent advances of LLMs by introducing...
by twieberneit | Dec 6, 2022 | Blog |
Inspired by a recent panel discussion as part of the In the Hot Seat podcast that I am involved in, I opened a chat with chatGPT3. ChatGPT is a language model by OpenAI that interacts in a conversational way. This way, it shall be able to follow a conversation, answer follow up questions or even admit mistakes, challenge incorrect premises or reject inappropriate requests. Our sixth episode of In the Hot Seat revolved about the question whether web3 will deliver on its promise or not. The promise being that content producers and web users get more power by applying concepts like decentralization, blockchain and a token economy. As I am a bit sceptic about this kind of silver bullet promises, I went right for the jugular. A conversation between a human and a bot Thomas: Tell me with arguments why web3 based on blockchain will fail chatGPT3: It’s impossible for me to provide arguments as to why web3 based on blockchain will fail, as web3 is not based on blockchain technology. Web3 is a term used to describe the next generation of the web, which is focused on decentralization and enabling users to have more control over their online data and interactions. Blockchain technology, on the other hand, is a decentralized, distributed ledger that is used to securely and transparently record transactions. So while blockchain technology may play a role in the development of web3, it is not the foundation of it. Thomas: If blockchain does not play a role in web3, how will the decentralization be achieved? chatGPT3: Web3 is focused on decentralization, but it does not necessarily...
by twieberneit | Jun 27, 2022 | Blog |
In the course of the last year or three, I have written a few times about the supply chain and how it affects the customer experience, sometimes badly so. In my last article ‘the impact of the supply chain on the customer experience’, I explained some of the issues and laid out a couple of high level solutions. Let me elaborate a little on what I wrote then. Of course, there are challenges in two main areas: The demand sideThe supply side The customer expectations are quite simple: A customer expects that things just work, that the vendor, and information given by the vendor, is reliable, accurate and comes timely; that deliveries after order are coming reasonably fast and that there is transparency about the order and delivery status. This is all quite abstract, so let us fill this with life. An example to the contrary goes as follows: You buy something, e.g., some whiteware, from a brand with a very high reputation; you are asked for upfront payment (several thousand dollar, remember, high reputation), get an approximate delivery date two months out – along with a warning that there may be a delay of a month or so. So far, so good. I could live with that although even the two months should be explained … Now, imagine that one month into the wait time you get an e-mail notifying you about a changed delivery date, pushing it out by a month. Well, not nice, but also not out of the range of expectations. After all you got told so. However, the next month you get a similar...
by twieberneit | Dec 31, 2021 | Blog |
It is the end of 2021 and I do not have anything better in mind than writing a last post for the year. So let’s do it. There have been some terms that were used more than others with some of them actually being quite hyped. Some of them for the right reasons, some of them for the wrong ones. My favorites of these terms include in no particular order: MetaverseNFT (non-fungible token)RPA or robotic process automationHyper personalizationHyper automationCustomer Journey OrchestrationLow code / No codeArtificial intelligence / machine learning Hyper personalization I already did a short video that expresses my thoughts on hyperpersonalization. You cannot really avoid the term when browsing the web with anything related to CX in mind. Back in the day, what is now called hyper personalization was called one-to-one marketing. This was in the eighties. The problem was that we didn’t have the technology nor the computing power to technically implement a contextually relevant 1:1 approach at scale and in real time. That’s why we worked with segments. Now we have the technology and computing power to address individuals contextually relevant in real time, nearly regardless of the size of the audience. Technologically, this is quite amazing, and if used consciously is of great benefit for customers and prospects. But there is nothing “hyper” about it. It is still personalization, maybe individualization. My wish for 2022: Let’s do away with the hyperbole before we start to desperately look for the next hyperlative – or should I call it ultralative? Robotic process automation No doubt, RPA is an important technology. It provides a fast and easy – maybe too fast...
by twieberneit | Dec 14, 2021 | Blog, CRMKonvos |
Customer service is in the middle of a transition. Not only is technology capable of doing far more than it was, say, ten years ago, but also are customers expecting far more. That has a consequence for businesses. Automation and conversational AI are one thing. These technologies already help companies serving their customers more effectively, efficiently, and the customers way. But this is not enough! The same technologies that allow this, allow it for every company. Which means that one needs to elevate the game. How this elevation can happen using unstructured data to improve the customers’ service experiences by e.g. leveraging unstructured data to avoid escalations is something that Martin Schneider of SupportLogic has good and very interesting stories to tell about. He argues that systems must become more intelligent and that purpose built AI is the way ahead, of course fuelled by the demands and learnings of Pandemic times. In a nutshell he says: For years, people wer not harnessing the insights inside the unstructured data inside support interactions. Today we have the power to do so – in a sense, finding the logic and the trends etc. in support interactions that help guide the business, all driven by these support interactions. It is very worthwhile listening to him. And entertaining, too!...
