Andrew Crowder’s Post

2025 will be a defining year for AI, shifting from generalized applications to enterprise-focused solutions. Businesses will refine their strategies to target specific use cases that deliver measurable results.

You can’t put metrics on the back burner while building a generative AI solution. When aiming for an end-to-end solution, plan to continuously monitor results against your business goals. Read more at https://lnkd.in/ep94btHK.

AI lifecycle management is no small task.    To launch AI applications successfully, enterprises need to be clear on their strategy, streamline operations, and choose the right tools.     Learn from Seekr Director of Product Jonathan Chang how to master the AI lifecycle in five steps: https://bit.ly/4eANG3i

If you're like most local government organizations, you're trying to sift through the noise and make some determinations as to what AI is and how it can be used to free up the limited resources you've got. Info-Tech’s use case library provides practical guidance to help government leaders accelerate value-driven AI use case adoption.

Is your agency waiting to adopt LLM apps? Or are you ready but wonder about risks of LLM hallucinations and spiking cloud consumption costs? Seekr Technologies solves for both! We enable agencies to quickly stand up AI lifecycle management, transparently control these risks, and cost-effectively manage cloud consumption so you can use LLMs now.

According to Gartner “by 2026, more than 80% of enterprises will have used generative AI APIs, models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.“ Will yours be one of them? In the Gartner® Hype Cycle™ for Generative AI, 2023 you’ll learn: - How to balance the potential rewards of AI against your risk tolerance - Which 3 innovations to adopt immediately for greater competitive advantage - What’s driving the most promising AI innovations to market - Expert recommendations on how to overcome common obstacles to AI   Download the report

Since many of my manufacturing clients are asking how they should use Gen AI, I tried coming up with a scalable framework while also aggregating some real-world use cases. Some are just concepts being discussed, while others I've already seen implemented. Since GenAI is rapidly evolving, I'm curious to hear your practitioner feedback. I feel that the translation of technology benefits and use cases isn't equal across all industries, so I specifically look forward to hearing some manufacturing examples from you. #GenAI #AdvancedManufacutring

Burton-Taylor delves into the transformative role of AI and Generative AI in the operations of market data providers in our upcoming report. It explores how these technologies are being integrated into core processes, the innovative solutions being developed for clients, and the strategic advantages they offer in an increasingly competitive market. Through a detailed analysis of key players and real-world applications, we uncover how AI is setting new benchmarks for efficiency, accuracy, and client engagement in the financial data industry. Central research points include: • Impact of AI on market data providers are various types. • The impact on both human and machine consumption of data and insight. • The implications on the use of market and the types of market data that will be in demand. • Client provisioning for insight and tools that data providers will provide as well as internal efficiency tools. Look for more information about our publication next week!

Seekr Technologies recognizes AI Lifecycle Management for DoD enterprises is uniquely a team sport. Our approach affords diverse DoD components something that commercial counterparts don't require: AI-enabled principle alignment of many AI Lifecycles under one National Defense Strategy (NDS). Seekr can link AI Lifecycle Management elements strategically to NDS and other principle documents to inform tactical recommendations. This can enhance and streamline combos of UJTLs to open new strategic options.

Generative AI (#GenAI) is spurring organizations across different sectors to fundamentally reimagine their approach to digital transformation. Retailers are exploring use cases across a wide range of functions, from new product discovery and personalization to streamlined fulfillment and enhanced services. Everest Group’s Generative AI in #CXM survey report revealed that 55% of enterprises view enabling personalization as a key driver of gen AI adoption, while 16% are investing over US$10 million toward gen AI initiatives in the next 12 to 18 months. Read on: https://okt.to/JcQUG5