Appen

As AI continues to evolve, the importance of high-quality, ethically sourced data has never been more critical. In the latest edition of 𝘛𝘩𝘦 𝘉𝘪𝘨 𝘋𝘢𝘵𝘢 𝘋𝘦𝘣𝘳𝘪𝘦𝘧 with Alex Woodie, Appen's CEO, Ryan Kolln, sheds light on the transformative role of data annotation and labeling in the AI ecosystem. 𝗪𝗵𝘆 𝗶𝘀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁? Data annotation involves labeling data—like text, images, and videos—to make it understandable to machines. This process is the backbone of training AI models, ensuring they can accurately recognize patterns, make decisions, and generate insights. However, not all data is created equal. 𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗚𝗲𝗻𝗔𝗜 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗡𝗲𝗲𝗱 𝗳𝗼𝗿 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗗𝗮𝘁𝗮 With the emergence of Generative AI, the stakes are even higher. GenAI models, which can create new content, rely on vast amounts of annotated data. But to produce reliable results, this data must be curated with precision and ethics at the forefront. 𝗛𝗼𝘄 𝗔𝗽𝗽𝗲𝗻 𝗶𝘀 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗵𝗮𝗿𝗴𝗲 Appen has been at the forefront of data annotation for nearly 30 years, providing solutions that prioritize quality and ethical standards. Ryan Kolln discusses how companies can harness Appen's expertise to ensure their AI initiatives are built on a foundation of trusted, human-curated data. Discover how Appen is shaping the future of AI, and learn why ethical data practices are key to responsible AI development: https://lnkd.in/eQXaQFdG #AI #DataAnnotation #EthicsInAI #GenAI #DataQuality #Leadership #BigDataDebrief

We had an incredible time at Ai4 - Artificial Intelligence Conferences 2024! Our team was at the forefront of discussions around the adoption and practical application of LLMs in business environments. Christopher Stephens joined AI leaders in a panel where they tackled the real-world challenges of integrating AI into enterprise operations. Key Highlights: • Practical Applications: The discussion highlighted the importance of prioritizing use cases that deliver tangible value. Organizations are keen on understanding where to invest their resources to maximize the benefits of LLMs. • Composite Models: The future of AI is not about relying on a single LLM but orchestration of multiple models to address diverse needs. This approach was echoed by many on the panel as a more practical and effective strategy. • Human Intelligence: The data strategy behind the problem is critical and enriching data with domain expertise will be a key unlock. This will also help address the randomness that innately exists with generative AI models. • Challenges on the Horizon: Risk management, regulation, and alignment with corporate policies are top concerns. As LLMs become more integrated into business operations, the need for robust data governance and ethical AI practices will only intensify. These were particularly emphasized by leaders in the banking, healthcare, and industrial sectors. We also had the chance to reconnect with industry peers, gaining valuable insights into the landscape. It was a reminder of the importance of agility and innovation in AI.   A big thank you to everyone who visited our booth and joined the conversation. We’re excited about the future of AI and the role Appen will play in driving it forward! Si Chen, Mat Wilcox, Erik Hindman, Alyssa Belardi Pumphrey, Jordan Hagan, Lu Lu

Happening now at Ai4 - Artificial Intelligence Conferences 2024—Booth 221! 🚀 Our team is ready to dive into how high-quality data and human expertise can supercharge your AI models. Whether you're looking to boost performance or explore new AI frontiers, we’ve got the insights you need. Stop by and meet Mat Wilcox, Alyssa Belardi Pumphrey, Erik Hindman, Si Chen, Jordan Hagan, and Lu Lu. Plus, catch Christopher Stephens' panel on LLMs tomorrow at 10:35 AM at 165-168 (L1)! Let’s drive AI innovation together—see you there! https://lnkd.in/gBXabbsy

Ai4 - Artificial Intelligence Conferences 2024 is just around the corner, and we’re eager to see you at Booth 221! Discover how our bespoke data solutions and human expertise can elevate your AI strategies. Meet our incredible team— Mat Wilcox, Alyssa Belardi Pumphrey, Erik Hindman, Si Chen, Jordan Hagan, and Lu Lu—and explore how high-quality data can enhance your AI models. Don’t miss our panel on “Making Use of LLMs” with Christopher Stephens on Wednesday, August 14, from 10:35 AM to 11:20 AM (US/Pacific), where we’ll delve into the practical applications of LLMs. 🚀 Let’s unlock AI’s full potential together! 🚀 https://lnkd.in/gBXabbsy 

We’re thrilled to introduce new enhancements to Appen's AI Chat Feedback tool on our AI Data Platform (ADAP)! Designed to refine and perfect your conversational AI models, this tool empowers your AI teams to test and evaluate models in realistic scenarios, ensuring accuracy and reliability.    What Makes Appen's AI Chat Feedback Tool Unique? 📈 Graphical Editor Activation: Streamline your job setup by activating the AI Chat Feedback tool directly from the Graphical Editor. 🔄 Min/Max Turns: Define the expected conversation length with minimum and maximum turns to simulate real user interactions. 🤖 Live Multi-Chatbot Support: Gather real-time completions and human feedback across different models simultaneously. 📝 Rich Text Editor: Enjoy rich text rendering and editing, with support for code formatting and LaTeX for complex equations. ✏️ Custom Response Edit: Allow contributors to improve model responses or provide their own when the model’s reply isn’t ideal. 📜 Live-preamble: Contributors can create preambles or contexts before engaging in conversations, enhancing interaction quality. Appen's enhanced AI Chat Feedback tool helps create better conversational AI models. It combines new features with human input to enhance accuracy and ethical performance. Leverage this innovation to improve your AI development and applications.   Check out our demo video to see it in action and learn how Appen is helping advance AI to be both effective and trustworthy.    Interested in learning more: https://lnkd.in/eXbwVPgr Alice Desthuilliers Emily G.

Elevate Your AI Journey with Appen at Ai4 2024! 🚀 Excited about the future of AI? So are we! Swing by Booth 221 at Ai4 - Artificial Intelligence Conferences 2024 in Las Vegas to chat with our team about how high-quality, human-in-the-loop data can elevate your AI models. We’ll be sharing insights on everything from boosting model performance to expanding AI capabilities. Meet our fantastic team members— Mat Wilcox, Alyssa Belardi Pumphrey, Erik Hindman, Si Chen, Jordan Hagan, and Lu Lu—and see how our bespoke solutions and expertise can tackle your toughest AI challenges. Plus, catch our panel discussion “Making Use of LLMs” with Christopher Stephens on Wednesday, August 14, from 10:35 AM to 11:20 AM (US/Pacific). We can’t wait to connect and explore how we can drive AI innovation together! 🌟 See you in Las Vegas! 🌟 https://lnkd.in/gBXabbsy #Ai4 #AI #Appen #MachineLearning #Innovation #DataDriven #LLMs 

How can multimodal AI systems reshape industries and enhance accessibility? 🧠✨ Dive into the fascinating world of multimodal AI with our latest blog post, "Multimodal AI Models – Part 1: Exploring Datasets for Training”    Discover how integrating diverse data types like images, videos, speech, and text can revolutionize AI's cognitive capabilities, enabling more human-like interactions and providing innovative solutions for individuals with diverse needs. Learn about the challenges and solutions in creating high-quality multimodal datasets and how Appen is at the forefront of this transformative technology. 🚀🔗 Read Part 1 now to explore the future of AI and how you can harness its potential with Appen's expertise: https://lnkd.in/eC92UTSR 

Exciting start to the CDO Summit, Boston! If you're here, don't forget to say hi to Christopher Stephens and Geoffrey LaPorte. Looking forward to insightful discussions and great networking opportunities! #CDOBoston #Networking #DataLeadership CDM Media

Introducing Appen's "Build My RAG" – Transform Your Enterprise Data Retrieval! Did you know poor data quality costs organizations an average of $12.9 million annually? It's time to change that with Appen. Build My RAG, a new feature in our AI Data Platform (ADaP), streamlines the creation of high-quality Retrieval Augmented Generation (RAG) models, leveraging your enterprise's knowledge bases to deliver reliable and relevant outputs. 🔹 Why RAG? RAG models enhance large language models by utilizing external data, ensuring more accurate and useful results. With our data-centric, human-in-the-loop approach, developing RAG pipelines has never been easier or more efficient. 🔹 Key Features: • Prepare My Data: Segment and enrich documents for coherent and relevant embeddings.  • Build My Prompts: Design effective prompts with our dedicated templates.  • Optimize My Model: Evaluate and refine responses to improve accuracy.  • Make My Model Safe: Ensure robustness through rigorous testing and AI feedback.  Our pre-built templates simplify complex tasks like data extraction, enrichment, and categorization, ensuring your RAG models are top-notch. Ready to unlock the potential of your enterprise data? Contact your Appen representative or reach out to us to get started today! Read more: https://lnkd.in/gJjN-Mew #AI #DataQuality #EnterpriseData #RAG #Innovation #Appen 

Join Appen at the MLOps Community Meetup! We're excited to be attending the MLOps Community Meetup in Plug and Play Tech Center, Sunnyvale, CA on June 18th! This is a fantastic opportunity to connect with the MLOps community, hear from industry experts, and learn about the latest trends and best practices. Stop by and say hello to John Belardi, Lauren Brown, and Haley M. from Appen! We'll be happy to chat about your MLOps challenges and how Appen can help you build high-quality, scalable machine-learning models.     Head over to the event page: https://lu.ma/vwmsp687    We look forward to seeing you there!    #MLOps #MachineLearning #AI #Appen