Everyone wants to move faster with AI, but few mid-market companies have the data foundation to do it effectively. Our new AI Data Readiness Research Report exposes just how wide that readiness gap is and what separates organizations realizing real value from those still struggling to get their data under control. In this blog, we…
Choose a private large language model (LLM) to ensure data security and governance, tailor user experience, and refine input and output precision — all within your company’s domain. You’ll have the exclusive control you need, from crafting prompts to integrating the LLM into your custom apps. Keep your data proprietary and your model’s insights internal…
Developing an effective generative AI strategy is not just about technology; it’s about aligning AI initiatives with your business’ core objectives and processes. This blog delves into how to design your gen AI strategy, ensuring gen AI acts as a catalyst for strategic advancement rather than just a novel tech trend. Considering generative AI for…
The rise of generative AI and expanded data collection have pushed data privacy and security to the forefront, making it a critical focus for businesses worldwide. Coupled with this is the growing need to streamline data usage and sharing, where modern data contracts play a pivotal role. These developments are not just transforming how we…
In this blog, we will define both managed services and serverless technologies and explain the key differences between the two. We will also provide use cases for each to help you decide how to best use each to meet business goals. You have moved your data and analytics workloads to the cloud—or likely will soon—and…
During a Q&A session with Analytics8 CTO, Patrick Vinton, he discusses industry trends and shares insights into how companies are—and should be—facing topical challenges. Discussion topics include: the urgency of cloud adoption, how COVID-19 is affecting business behaviors, how to face these challenges, and opportunities stemming from the blurred lines between traditional and advanced analytics….
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