IBL News | New York
IBM partnered with Meta to integrate open-source Llama into the WatsonX.ai platform and noticed strong enterprise adoption. One case pertains to Dun & Bradstreet customer operations.
IBM’s Watsonx.ai provides a next-generation enterprise studio for AI builders worldwide to train, validate, tune, and deploy AI models.
Other enterprise use cases mentioned are:
– 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗗𝗮𝘁𝗮: Dun & Bradstreet generates company summaries, revisiting millions of companies quarterly to enhance data pipelines.
– 𝗦𝗽𝗼𝗿𝘁𝘀: Sevilla FC’s Scout Advisor identifies and evaluates recruits, integrating scouting data and NLP.
– 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻: AddAI’s Q&A chatbot, built, reduced unanswered queries by 50%.
– 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Llama expedites document processing and legal research, reducing case prep time by 50%.
– 𝗛𝗥 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲: Telecom HR assistants achieved a 75% automation rate and multilingual support.
– 𝗖𝗹𝗮𝗶𝗺𝘀 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: Financial services streamlined call summaries, saving an hour per case and enabling same-day reports.
– 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻: Local governments developed Q&A assistants with advanced translation capabilities.
– 𝗦𝗮𝗮𝗦: A SaaS vendor enhanced contract management with watsonx.ai, making AI tools widely accessible.
– 𝗧𝗮𝗹𝗲𝗻𝘁 𝗔𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻: AI-driven HR automation cut costs by 90% for a talent firm.
– 𝗙𝗶𝗻𝗮𝗻𝗰𝗲: Real-time asset valuation and improved transaction monitoring achieved faster insights and analysis.
– 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Automated document classification sped up archive digitization and data cataloging.
– 𝗠𝗲𝗱𝗶𝗮: A press agency automated article reviews, translations, and social media edits, saving editors 95% of their time.
– 𝗧𝗲𝗰𝗵 𝗮𝗻𝗱 𝗜𝗧: AI assistants reduced support ticket resolution times from hours to minutes, achieving 93% accuracy.