Chris Voce’s Post

🤖 Redefining the ‘User’: A Call for Human-Centric Design in the realm of technology and product design, the term “user” has long been the norm. But is it time for a change? Karina Nguyen from Anthropic challenges us to think beyond this label, urging designers to address the “core pain points of human users” with language models. Digital Evolution: From Users to Partners in Innovation in this 21st century, our interactions with technology are being redefined. The advent of AI has catalyzed a profound shift in the user interface landscape, transforming passive interactions into dynamic dialogues and the journey doesn’t end with assistance. The horizon beckons with a promise of partnership. The lexicon of AI has evolved whereas bots have ascended to the ranks of copilots, assistants, and collaborators. These titles are not mere embellishments; they signify a deeper bond, a fusion between human intellect and artificial intuition. This anthropomorphic trend isn’t new; it’s a bridge between humanity and the digital realm. But as AI steps into the role of a thought partner, we must reconsider our own identity in this symbiotic relationship. We are more than users; we are innovators, creators, and visionaries. The path forward is clear: specificity in terminology can illuminate the nuances of our interaction with technology. In healthcare, we are 'patients'; in education, 'students'; in media, 'readers'. Each term reflects the unique facets of our engagement with the digital world. Gamers become 'players', reveling in the joy of the game, while travelers are shepherded through the skies with care and hospitality. As we refine our language, we also refine our understanding of the partnership between people and AI. By moving beyond the generic “user,” we foster a more authentic connection with technology; one that recognizes our shared future and the mutual growth potential. Together, we are not just using; we are evolving, learning, and thriving in tandem with the machines that augment our reality. Feel free to weigh-in ➕ check out ⤵ "It's Time to Retire the Term User. The Proliferation of AI Means We Need a New Word" MIT Technology Review #AIAugmentation #HumanCentricDesign #TechForPeople #CQ #LLMs

For anyone tired, critical or simply curious about the word 'user' in the fields of computing and design- when did the word begin to be used and in what context, who or what facilitated its mass adoption and why is there a need today in the times of generative AI to retire it and think of something else? Great read. #UXDesign #UIDesign #user

Rolling out new software can be overwhelming and has been suggested to be the cause of the majority of incidents at most companies. But could causal artificial intelligence (automated problem remediation by means of root cause based) be the solution? In this blog we take you through why having a having an observability tool with rapid detection speed is your best friend!

🔍 Stay Ahead of the Curve with the Latest Software Trends The software development landscape is evolving rapidly, and 2023 is proving to be a pivotal year. Our new blog post delves into the top trends that are currently shaping the industry. From AI-assisted code generation to enhanced software security measures, we provide the insights you need to stay competitive and future-proof your projects. 👉 Discover the Trends: https://lnkd.in/gBkuFNvf 📈 #SoftwareTrends #AI #Security #Modularis #FutureProofing

Do we design for user or for people? And (why) is this difference important? I recently read the article “It’s time to retire the term “user” - The proliferation of AI means we need a new word” written by Taylor M. and shared by Don Norman. It stimulates reflection on the word “user”, a landmark term in the semantics of product design which has become part of the common language and which, I have no problem admitting, I too have often used without giving it the weight it deserves. I highly recommend this essay because (assuming that the word "user" is part of the reader's vocabulary) it makes one question their own choices and tries to give a new context to a word that has remained unchanged for too long and that today, more than ever, demands a new consideration. #designethics #uxdesign #productdesign #designthinking

The advent of AI tools with names like copilots and agent-assistants and the like expose a need for more thoughtful use-case translation during the GTM process. This product marketer is making a note of it. Maybe it's time to consciously adapt our wordsmithing and elevate humans to something more than just 'users?' .... at least when it makes sense? A worthy read from the MIT Tech Review - albeit with some hefty but enlightening history upfront. The conclusion is sound. And I'll admit I've often wondered why we PMMers never pushed back harder about replacing this term "user" with warmer, more appropriate, and relationship-friendly vocabulary in our customer-facing materials. Favorite takeaway article snippet: "With the abrupt onset of AI everything, the point of contact between humans and computers—user interfaces—has been shifting profoundly. Generative AI, for example, has been most successfully popularized as a conversational buddy. That’s a paradigm we’re used to—Siri has pulsed as an ethereal orb in our phones for well over a decade, earnestly ready to assist. But Siri, and other incumbent voice assistants, stopped there. A grander sense of partnership is in the air now. What were once called AI bots have been assigned lofty titles like “copilot” and “assistant” and “collaborator” to convey a sense of partnership instead of a sense of automation. Large language models have been quick to ditch words like “bot” altogether."

What do you need to think about when selecting #dataanalytics & #AI software? ⚙️📊 ISG's David Menninger and Paul Reynolds discuss the fallacy of "one size fits all" and more below ⬇️💻 Watch for insights on how to get started with your #softwareselection.

A good example / starting point to understand semantic routing which will create a quick decision making layer before pushing user queries to LLMs. Potential benefits of this would be lower cost, faster response time, more control and more appropriate respond messages if users hit the unwanted topics.

This is a thoughtful and succinct summary of considerations when building a fleet of #LLMs and suggestions for establishing your organization's ability to do so on a repeated basis. Thank you Ben Lorica 罗瑞卡 for another excellent article on #GenerativeAI

Useful discussion and review of complementary solutions for developing custom LLMs by Ben Lorica 罗瑞卡 "The rising popularity of Generative AI is driving companies to adopt custom large language models (LLMs) to address concerns about intellectual property, and data security and privacy. Custom LLMs can safeguard proprietary data while also meeting specific needs, delivering enhanced performance and accuracy for improved user experiences and operations. Tailoring these models to specific requirements ensures optimization in terms of size, speed, and precision, which can lead to long-term cost savings."