by twieberneit | Jun 23, 2023 | Analysis, Blog |
The news During the Salesforce AI Day on June 12 as well as the Salesforce AI Industry Analyst Forum on June 20, Salesforce provided a lot of interesting information on how the company addresses the challenge – or should I say problem – of trust into artificial intelligence. Salesforce sees this gap caused by hallucinations, lack of context and data security as well as toxicity and bias. According to Salesforce, this gets compounded by the need for integrating external models into business software. To address this problem, Salesforce has announced its AI Cloud that combines an “Einstein GPT Trust Layer”, Customer 360 and its CRM to offer AI-powered business processes that are built right into the system, based on an AI that can be trusted. The main vehicle is the Einstein GPT Trust Layer that takes care of secure data retrieval from business applications, dynamic grounding to reduce the risk of hallucinations and to increase response accuracy by automatically enriching prompts with relevant business-owned data, data masking, the anonymization of sensitive data to avoid its unintentional exposure of sensitive data to external tools, toxicity detection to make sure that generated content adheres to corporate policy, is free of unwanted words or images, and unbiased, creating and maintaining an audit trail, the external (or internal) AI not retaining, storing, any corporate information that gets sent to it via the request. This trust layer sits in between the used AI models and the apps and the respective development environments. All requests to the models, along with their data, get routed through this layer, ensuring authorization protected retrieval of data, the grounding...
by twieberneit | Sep 18, 2022 | Analysis, Blog |
The News On September 14, 2022, Zendesk announced the release of its new customer sentiment and intent functionality: Intelligent Triage and Smart Assist. These new AI based solutions shall “enable businesses to triage customer support requests automatically and access valuable data at scale. Intelligent Triage and Smart Assist are the next step in Zendesk’s vision to create accessible CX AI for companies of all sizes. The technology uses proprietary industry expertise and insights from trillions of customer data points and applies a vertical lens. This creates models custom to each business capable of identifying the intent, language and sentiment of each customer interaction. This unique approach to applying machine learning creates more personalized and informed interactions to better serve customers. For example, specific inquiries, such as “I’m having problems with payment”, can be automatically sent to an agent who is equipped to handle billing for a quicker resolution, while inquiries that include language written in all capital letters or in a sarcastic way will indicate a highly negative sentiment and be routed to the top of the queue. The new capabilities include: Instantly route and prioritize revenue drivers, ensuring agents are working on business-critical requestsAnalyze distribution of requests so businesses can better plan operations, collaborate across departments and identify improvement opportunities supported by data for more efficient CX operationsAutomatically guide agents on how to best resolve a customer’s issue in real-time, understand context, recommend solutions, and improve coaching and training with valuable insightsContinuously boost accuracy as the AI solutions receive feedback on predictions and recommendationsDetect sensitive information automatically to meet compliance and security needs or extract confidential data like...
by twieberneit | Jan 4, 2022 | Blog, CRMKonvos |
Everybody is talking of “creating customer experiences” – even I, although I am convinced that any experienced is created by the person on the receiving side of an engagement. But then, how to formulate this in only a few words? Nevertheless, when it comes to engaging with customers or prospects, we are immediately also talking content, be it images, texts, videos, podcasts, 3D rendered objects, or whatever the future will bring us. We are also talking about more than just marketing processes, but also service- or employee-facing processes. Which brings us into the realms of knowledge management, product information management, web content management, enterprise content management and enterprise search. Or the question about how the same content can be used in different scenarios? How can it be found, so that it can be made available? Does it need a platform? What type of platform? Looking at individualised marketing campaigns that theoretically ask for individually tailored content. How much can this scale? Where is the limit? Spoiler here: Manpower to create the content … Still, how is a technology stack helping marketing, sales and service functions with prepared and personalised relevant information – that then also resonates? What is the role of “headless” in this whole picture? Is headless a thing at all? Shouldn’t be the content headless after all (which then solves the content problem across the metaverse – oops, now I used the buzzword)? Lot’s of unanswered and very interesting and important questions! This creates the perfect need to talk to someone who knows. So, we discussed with Dina Apostolou of Contentful how a content management system can be of help. And...
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 21, 2021 | Blog, CRMKonvos |
The word is that it takes two to Tango. It turns out that sometimes it needs three! I will not spoil the excitement by naming who they are, though. Why do we have silos in enterprise software? How to remove them? Do they even need to be removed? Does throwing more software at a software problem help? Aren’t the problems a software problem after all? If more or different software helps, what type of software can or should be used? Or are corporate silos even a Wallstreet problem? Great questions and even better answers by Joshua Greenbaum in this #CRMKonvo. This one got even bigger than I expected. But then, Josh thinks in big lines. And he has wits, a lot of wits. He did not disappoint, really! Apart from a lot of knowledge, that is. Listen in to our CRMKonvo. I can also highly recommend to read Josh’s article “Death to all Silos, with Aphorisms”. It is worthwhile, promised! Death to All Silos, With...
