The AI Cat is out of the bag... well it has been for a while. Longer than most people think. Artificial Intelligence has been around at least since the early 1950s when researchers at the University of Manchester made a machine that could play checkers and a machine that could play chess. Fast forward to the end of 2022, OpenAI casually released an early demo of ChatGPT, and suddenly, AI was all anyone could talk about. Even if you were steeped in the tech industry, it seemed to explode out of nowhere like a sci-fi story come to life. High schoolers had a whole new method for cheating on homework, coders had a new automated tool that could debug code across dozens of programming languages, and users watched in amazement as the blinking cursors unspooled entire stories or screenplays in a matter of seconds. AI's re-emergence brings both promise and peril. The excitement is palpable, but we must ground our enthusiasm in reality. AI is not a panacea; it’s a powerful tool that, if used wisely, can significantly enhance our operations. The OCIO is committed to harnessing AI to streamline operations, reduce costs, and enhance the overall citizen experience. Yet, we must acknowledge the limitations and risks. AI's capabilities are impressive, but it’s not infallible, and we must remain vigilant against over-reliance and misuse. Inspired by Deloitte’s findings, (Link: https://lnkd.in/g9TPyKey are adopting life event-based service delivery models. These models, which proactively address citizens' needs during significant life events, promise to simplify interactions with government agencies and provide seamless, integrated services. By automating data transfers and improving inter-agency collaboration, we aim to reduce wait times and improve service accessibility for all Nevadans. However, this requires a delicate balance. Automation brings efficiency but also raises concerns about data privacy and security, which we must not overlook. If you are also wanting to listen to a podcast the echo's Cautious Optimism, give a listen to TEDX's Ai Show with Gary Marcus, https://lnkd.in/gU6nenx9
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Executive Director, Deloitte Center for Government Insights | Author of Bridgebuilders: How Government Can Transcend Boundaries to Solve Big Problems, available now.
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Deloitte has published a very strong case for "10x government innovation" as an overarching trend for 2024, with policies like Europe's Once Only Principle forcing convergence across government silos and digital public-private partnerships.
Executive Director, Deloitte Center for Government Insights | Author of Bridgebuilders: How Government Can Transcend Boundaries to Solve Big Problems, available now.
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Partner at Deloitte Australia | Business Transformation | Intelligent Automation | Digital Transformation | Data & Ai
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Solicitor, non -practising,formerly Legal and Democratic Services Officer at Transport for the North and Data Protection Officer
“The key theme at the WEF’s Annual Meeting was the role of artificial intelligence in driving economic and societal progress and a growing need to explore how AI can bring transformations to business operations and performance. Exhibit 1 shows the result of an analysis of over 19,000 individual tasks across 867 occupations.”
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The IEEE DiscoveryPoint for Communications platform uses advanced built-in features powered by #AI and #machinelearning #technology to extract key points or insights from lengthy technical documents. Explore this blog post to learn more about the vital functionality of IEEE DiscoveryPoint. #IEEE #IEEEdiscoverypoint #engineering
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The original article is an editorial piece that explores the world of digital collecting. It discusses the increasing popularity of this form of collecting and highlights the challenges it presents. While the article provides subjective views and insights, it lacks specific data or evidence to support its claims. The focus of the article is on the potential and appeal of digital collecting. It discusses how digital platforms have revolutionized the collecting industry, allowing people to collect and trade items digitally. The convenience and accessibility of digital collecting are mentioned as key factors contributing to its popularity. The article also mentions the environmental benefits of digital collecting since it eliminates the need for physical objects and reduces waste. Despite acknowledging the advantages of digital collecting, the article also recognizes the challenges it poses. One of the main challenges highlighted is the loss of physicality and tangibility that is often associated with traditional collecting. The article discusses how the emotional connection to physical objects can be lost in the digital realm. Furthermore, the article contemplates the issue of authenticity in digital collecting. It raises questions about the value and ownership of digital collectibles, as they can be easily replicated and distributed. The article suggests that the value of digital collectibles lies in the perception of scarcity and exclusivity. While the viewpoints presented in the article provide interesting insights into the world of digital collecting, it is important to note that they are subjective in nature. The article lacks concrete data or evidence to support its claims and can be seen as more of an opinion piece than a factual news report. In conclusion, the original article offers subjective views and insights on the topic of digital collecting. It discusses the increasing popularity of this form of collecting, as well as the challenges it presents. However, the article lacks specific data or evidence to support its claims, making it more of an opinion-based editorial piece. https://t.co/x9KgunQNLd https://lnkd.in/gzEu_wFW Joined the chat? https://t.me/rushhournews Joined the Discord? https://lnkd.in/gy5mTvdw
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Interesting perspective on proving/showing the value of UX research by Nikki Anderson, MA. In my work, I have always cherished working with colleagues - at all levels - who are curious about and open for research, who did not ask for advance proofs that it could pay off. Colleagues who did not expect research to 'blow their minds away', or to make products absolutely 'watertight', but that are willing to give it a try. I am fortunate to have also a few colleagues who tell me something that can be rephrased as: 'let me know if I can say or do anything so that you don't have to do all the convincing alone'. In my experience, it’s about aligning with those who spot and recognize the value of research by themselves - sometimes it takes limited exposure - and letting experiences speak louder than words for them. This approach not only helps preserve our energy but also builds stronger, more genuine collaborations.
I coach user researchers to gain confidence and advance in their careers | Founder @ User Research Academy
One of the biggest obstacles I still struggle with in user research is the idea of “proving the value of user research.” About a year or so ago, I happened to be on a panel with Tomer Sharon and he said “I don’t prove the value of user research anymore. They either want to work with me or want to take the risks without research.” I’ve seen this spiraling around a lot in the past and in our current state in forms of: - Trying to prove the value user research can bring - Trying to prove the impact of user research - Trying to convince stakeholders not to use AI as a replacement - Trying to convince stakeholders to listen to your research - Trying to convince stakeholders to include research in the product development process And countless other points. That’s a whole lotta trying. And convincing. And proving. For a long time I didn’t understand how Tomer or anyone else could simply say, “take it or leave it.” Proving the value of user research became a hill for me to die on. It seemed impossible to do research if no one cared, if no one was “convinced” on how amazing user research was. Inevitably, I hit a wall. I got so sick of begging people to care about my profession, my craft, my expertise. This came up again. I told my stakeholders the best course of action on a completely new feature would be a concept test, but this time I put the ball in their court. I told them the benefits of the concept test, general timeline, and the risks of not doing one, and I let them decide. We didn’t do the concept test. The team created the feature and it failed miserably. All the risks (wasting time, effort, energy, and spending more money redoing something) that I had documented and shared happened. But I didn’t say I told you so. The next time research should have been engaged, they decided, again, not to do it. And a third time. In between the team not engaging with me, I worked with other stakeholders and teams who were ready for research, engaged, excited. There’s always a champion or two in your org — you just need to find them. And then, the team finally came to me asking for research after several failed projects. They asked me to help. No convincing, begging, proving…yes, I educated them, but I didn’t force them down a path. I let them decide, have the experiences, and then make more informed choices. Eventually they did. This is a different and sometimes (well, most of the time) scary way to approach this. It is uncomfortable. It’s challenging. But it helped me focus my energy on people who cared, who wanted me to help them, who sought out my work. I’m not saying you need to flip the switch completely, but maybe try it out. See how it is, see how it feels. We don’t need to PROVE the value of research because it is inherently there. #userresearch #research #ux #uxr #uxresearcher #uxresearch #designresearch #userresearcher #careers
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