Laivly

To our users, clients, colleagues, investors and all the friends we’ve made along the way - wishing you and your families a wonderful holiday season!

It's the final edition of Making Contact for 2024! 🚀 Join us as we discuss how to improve your generative AI prompts, how to avoid Failure to Launch Syndrome, and more. 🪐

Customers have so many choices. So how do you build brand loyalty? One of the most compelling ways is to give them a personalized service that can predict their needs, understand what they like, and give them those things in an effortless interaction. Personalization in customer service is something many brands are exploring as a way to create “white glove” experiences and build a bond with their customers. “Imagine what the contact center experience would look like if you had customer personalization as the mandate.” — Matt Bruno, Laivly CRO Until recently, this was an expensive and time-consuming proposition. But, with the new breed of AI tools for CX, it’s becoming a reality — even for budget conscious brands. Read more in our blog post: https://lnkd.in/gaTiynTs

Breakthrough alert! 🧠🤖 Scientists at Scripps Research have developed MovieNet, an AI that processes videos almost exactly like the human brain. Key Innovations: 🔹 82.3% accuracy in detecting subtle scene changes 🔹 Outperforms existing AI models by 18% 🔹 Uses less data and processing power 🔹 Environmentally sustainable AI design 🔬 How It Works: Inspired by tadpole neurons, MovieNet breaks down visual information into dynamic sequences, capturing the nuanced "movie" of reality rather than static snapshots. Potential Game-Changing Applications: 🔹 Early disease detection 🔹 Precise drug screening 🔹 Enhanced medical diagnostics 🔹 Advanced autonomous systems "By designing models that think like living organisms, we can achieve levels of efficiency that simply aren't possible with conventional approaches." — Dr. Hollis Cline The future of AI is biological, adaptive, and incredibly exciting! 🚀 #AI #Innovation #Neuroscience

If you’ve ever played Jenga, you know how pulling out one piece of your tower can topple the whole thing. Without careful planning, the same thing can happen to brands looking to bring AI to their tech stack. In a perfect world, businesses would always have the infrastructure in place to support growth, change, and the implementation of new technology. But the reality is that businesses (especially ones that have been around for a while) have often introduced new systems gradually over a long period of time, making their systems a blend of fresh and antiquated technology — a Jenga tower one wrong move away from tumbling. So how do you add new technology to your existing tech stack without destabilizing your entire business? Instead of pulling out and replacing tools one by one or starting over from scratch, you can choose a solution that  layers on top of and optimizes your existing infrastructure. 💡 Read more on our blog: https://lnkd.in/g5iaaHgn

𝙉𝙤𝙩𝙝𝙞𝙣𝙜 𝙢𝙖𝙠𝙚𝙨 𝙢𝙚 𝙨𝙖𝙙𝙙𝙚𝙧 𝙩𝙝𝙖𝙣 𝙬𝙝𝙚𝙣 𝙄 𝙢𝙚𝙚𝙩 𝙨𝙤𝙢𝙚𝙤𝙣𝙚 𝙞𝙣 𝘾𝙓, 𝙖𝙣𝙙 𝙩𝙝𝙚𝙣 𝙄 𝙨𝙚𝙚 𝙩𝙝𝙚𝙢 𝙖 𝙮𝙚𝙖𝙧 𝙡𝙖𝙩𝙚𝙧 𝙖𝙩 𝙩𝙝𝙚 𝙨𝙖𝙢𝙚 𝙘𝙤𝙣𝙛𝙚𝙧𝙚𝙣𝙘𝙚 𝙖𝙣𝙙 𝙖𝙨𝙠, “𝙃𝙤𝙬’𝙨 𝙮𝙤𝙪𝙧 𝘼𝙄 𝙖𝙣𝙙 𝙖𝙪𝙩𝙤𝙢𝙖𝙩𝙞𝙤𝙣 𝙜𝙤𝙞𝙣𝙜?” 𝙖𝙣𝙙 𝙩𝙝𝙚𝙮’𝙫𝙚 𝙢𝙖𝙙𝙚 𝙣𝙤 𝙥𝙧𝙤𝙜𝙧𝙚𝙨𝙨 𝙗𝙚𝙘𝙖𝙪𝙨𝙚 𝙩𝙝𝙚𝙮 𝙝𝙖𝙫𝙚 𝙗𝙚𝙚𝙣 𝙥𝙡𝙖𝙣𝙣𝙞𝙣𝙜, 𝙞𝙢𝙥𝙡𝙚𝙢𝙚𝙣𝙩𝙞𝙣𝙜, 𝙖𝙣𝙙 𝙘𝙤𝙣𝙛𝙞𝙜𝙪𝙧𝙞𝙣𝙜 𝙛𝙤𝙧 𝙖 𝙮𝙚𝙖𝙧. That’s Matt Bruno, Laivly’s CRO, talking about how brands can get “lost in the sauce” of getting started with AI and automation tech in their CX program.  Laivly clients, on the other hand, see more success with a 𝗪𝗮𝗹𝗸, 𝗥𝘂𝗻, 𝗙𝗹𝘆 approach, starting with high-touch, easy-to-integrate tasks. Think transcription-led functionality like live agent guidance and case note automation. This allows you to score a quick win, get your agents used to using the tech, and ROI on your investment right away. Then you can layer in more complex functionality — like bringing in information from other systems, genAI-powered smart response for email and chat, and even fully autonomous workflow completion using 𝗦𝗶𝗱𝗱 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗪𝗼𝗿𝗸𝗲𝗿. Our Walk phase can launch in as little as 2 weeks, so you won’t be stuck in the planning phase for months or even years.

It’s often said that AI is a technological shift at least as big as the smartphone — and likely much bigger as we unlock new ways to use it. But like the smartphone, a whole new wave of UI/ UX innovations and use cases must be developed before AI can truly transform our lives. Take the chatbot, for instance. Early examples of generative AI-powered chatbots, though intriguing, didn’t provide real value to users. That’s why they experienced a spike in use when first available, followed by steady user attrition — they were mostly a novelty. Now, however, their use has risen again, thanks to advancements in useability, use cases, and innovative UI/UX that provides real value to users. The new generation of CX chatbots, like Laivly’s cobot Sidd, can actually perform complex tasks and workflows, rather than simply existing as a glorified search engine. Not only that, it can assist a live agent or work autonomously, which means a smoother, more streamlined experience for the customer. Plus, Sidd is built specifically for the CX industry, leveraging many years of experience from our leaders in the BPO space. Check out the article linked in the first comment for more about the parallels between two transformational technologies! 

Controlling costs by boosting productivity is a logical primary goal for customer service programs. They aren’t a profit center, so savvy brands are always looking at ways to build efficiency there. While AI and automation are excellent at that, they’re definitely not one-trick ponies. If the platform you choose is developed by people who are CX experts, they can leverage this awesome tech to build on the customer relationship. That way, you’re not sacrificing service quality for speed or output. Check out our blog to see some of the incredible things a purpose-built CX platform that uses AI and automation can do for your customer service program: https://lnkd.in/efSpCiV4

Instead of trying to have your agents memorize everything, why not just give them a GPS?

🚀 𝗜𝗻 𝗢𝘂𝗿 𝗢𝗿𝗯𝗶𝘁! Researchers from Stanford, Washington University, and Google DeepMind have developed groundbreaking AI agents that can mimic human behavior with incredible accuracy. Imagine an AI that can think and respond just like real people! These digital agents were created using interviews with over 1,000 participants representing diverse backgrounds across the United States. The potential is huge - from understanding economic trends to predicting social dynamics, these AI simulations could revolutionize how we study human behavior. 🧠✨ Want to learn more about this mind-blowing research? Drop a comment below! 👇 #AIResearch #Technology #Innovation