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Imagine being able to stop fraud across multiple agencies in government, from detection to prosecution or being able to provide unified services to customers for the entire lifecycle from sales to support with unified data Elasticsearch with #GenAI provides powerful insights to enable organisations to deliver better services whilst at the same time reducing costs. Contact us today to discover why partners like Spotify, Bolt and Booking.com are using Elasticsearch to power better customer experiences. #elasticsearch #elastic #genai #vectorsearch #unifieddata

 “For generative AI to work, you really need a search engine to bridge the gap between information in the public domain and internal private data that’s changing very rapidly,” Matt Riley Elastic GVP and general manager of search. There are probably not many people today who have not heard of GenAI and the ways in which it can transform business today. The challenge is providing relevant data to GenAI tools or you run the risk of the "garbage in garbage out" adage. Elastic search is important to make GenAI a reality for companies looking to harness their data. We were born in the search world and have only continued to build on those capabilities expanding with observability and security. Get started with your 14 day free trial of Elastic here https://lnkd.in/eZS2icMK and begin your GenAI journey!

With the rise of affordable and accessible AI tools, even companies with limited resources can now harness the power of artificial intelligence. Learn what it takes to jumpstart data-driven insights and automation that can drive efficiency and innovation in TechBullion https://lnkd.in/dHFs4KCE

Last week I attended the inspiring, AI Summit at MIT, "Imagination in Action". Meeting the makers was exciting, and the event felt more like the groundswell of a movement than a tech conference.  Here are my observations from the business side of AI.   HIGHLY PERSONALIZED LLMS will be our future, enabled by memory of all our past interactions Lex Fridman, MIT   AI USE CASES “Cost savings in CX...although it could be used to strengthen the customer relationship.” - Ted Shelton, Bain. “Velocity” @AlexBarretto, Dell Services.  “Predict and prevent” “Follow the Pain.” Igor J.., Pryon   OPEN SOURCE: “Is now good for everyone” – Lex Fridman, MIT. "More controllable, but expensive for SMB." Shashank Dixit, Deskera   WEB SEARCH transformed thru: contextualized shopping Amar Bakshi; LLMs as answer engines that orchestrate other LLMs, Aravind Srinivas, Perplexity.   LLM ACCELERATORS revolutionary LPU chips – (Language processing units) from Groq, which hosts open source models for a 10x+ improvement in response time  Dinesh Maheshwari, Groq   UX – “Computers learning humans, not humans learning computers.” @VinodKhosla . “You don’t need the best model, you just need better prompt engineering…AND,  “Users don’t want to be better at prompt engineering”. “We need trust." Eric Feige Martinez, Vshift. “AI native devices are having their hot-girl moment. As they proliferate….we’ll have a greater need for more human vibes to create richer experiences that resonate AND impact the bottom line.” Joanna Peña-Bickley, Vibes ai   REGULATED INDUSTRIES – No excuses. “Blue Cross/Blue Shield of Michigan is not using regulation as an excuse not to innovate with AI.” Paul Baier on the presentation by @BillFandrich, Blue Cross Blue Shield of Michigan.   BOARD ENGAGEMENT “Board Members are asking about AI initiatives”   BARRIERS to ADOPTION: "Cost, trust, control" @Igor Jablokov, Pryon. "Build or Buy decisions" Shashank Dixit "Which model to select." Eric Feige Martinez   HOW TO RESPOND to AI "With the same process we used for responding to Covid Leah Belsky Coursera. “Don’t think in 3 month sprints…you might have a vendor show up with a better solution….Think in 2 week sprints.” “Generative AI is the GLP antagonist to Corporate America, forcing is move to smaller, agile teams.” Joanna Peña-Bickley   OPPORTUNITIES Given the rapid proliferation of AI models and solutions, there is an increased need for differentiation and the development of distinctive assets to ensure your business remains top of mind in the moment of choice; plus, behavioral design to drive faster adoption. For customers, the opportunity with AI extends beyond cost savings and velocity, to competitive advantage, requiring a culture transformation beyond simple up-skilling. While I may be biased, the winners in AI will not be the ones with superior technology but those with a deep understanding of customer needs and the ability to drive their behavior. https://lnkd.in/ex93XTCF

Transform your backend processes with the power of cutting-edge AI capabilities! Discover how Lynkz can propel your business growth by automating essential tasks. Read on to explore the myriad benefits we offer. https://lnkd.in/gbvGbWMc #Lynkz #Lynkzpeople #development #Ai #tech #technology #agile #innovation

All AI must be trained by a combination of large datasets, patterns of variants, and HUMANS in order to analyze the output of the data and course-correct as needed. And psst: That last part is MEGA important. Why? We explain: https://bit.ly/4blhmjY #contentgeneration

In his latest article, our #CXExperts Strategic Workforce Planning Consultant Ali A. reflects on the whirlwind of innovation this year, specifically the evolution of generative AI and its impact on work. ✅ Generative AI, integral in daily life, advances data analysis and machine learning, with tools like ChatGPT and GitHub Copilot revolutionising various fields. ✅ Adoption of AI in industries like digital marketing and software development offers efficiency gains but raises ethical concerns around data representation and bias. ✅ In workforce planning, generative AI enables accurate forecasting and customer experience personalisation, necessitating a balance between technological advancements and ethical considerations, including data privacy. You can read the full article here: https://lnkd.in/g3yr2qX9 #2023reflection #GenerativeAI #WorkforcePlanning

Understanding MLOps: A Practical Approach to AI ⤵️ It's about efficiently managing the lifecycle of AI models from development to deployment and maintenance. This approach helps automate processes, improve collaboration between different roles such as data scientists, engineers, and IT professionals, and ensure AI models are regularly updated and monitored. Insights: 👉 Automates and manages the machine learning model lifecycle 👉 Bridges the gap between different teams for smoother operations 👉 Regular updates and monitoring keep models effective 👉 Applies AI models to solve real-world problems across industries Learn how MLOps can be applied to make AI projects more effective and practical ➡️ http://spr.ly/6049jlwIB #MLOps #AI #MachineLearning

Here's an insightful video on MLOps. #AI #mlops #matlab

A year ago, our journey into large-scale generative AI began. The experience has been a whirlwind of innovation, challenges, and valuable learnings. Collaborating with customers, business partners, and peers, I centered our approach on 3 key principles: - Transparency is Key: Users must know when they're interacting with AI. We're developing features to clearly differentiate AI-generated content from real photos or text. - Combating Misinformation: We're committed to countering misuse by blocking prompts for deepfakes and empowering users to spot potential biases. - Continuous Learning: While AI is potent, it's not flawless. We're consistently assessing outputs, inviting user feedback, and enhancing our systems to mitigate unforeseen consequences. Exciting news! Microsoft has just unveiled our inaugural Responsible AI Transparency Report. Explore insights shared by Natasha Crampton, Microsoft’s Chief Responsible AI Officer. #ai #leadership https://lnkd.in/gUumvsby