Fog Solutions

Curious how enterprises are leveraging data-powered generative AI? Here's what we're seeing 👇 Generative AI is transforming how enterprises operate, innovate, and engage with customers. It's being used for content generation, product development, solving complex problems, and automating tasks across various business functions. But only 17% of companies surveyed qualify as "data masters" - those leading in both data foundations and behaviors. 60% of organizations have implemented generative AI pilots or early proofs of concept. Some key enterprise use cases for generative AI include: ✅ Content creation and personalization ✅ Software development and coding assistance ✅ Customer service and support ✅ Data analysis and business intelligence ✅ Product design and development ✅ Fraud detection and risk management ✅ Internal knowledge management and search Companies like Bain & Company, Mastercard, Salesforce, and Allstate are leveraging generative AI for various applications like marketing, customer experience, and productivity tools. Good data is critical for training and leveraging generative AI effectively. Companies need to focus on data quality, integration, and governance to maximize value. Key priorities for data-driven enterprises include: ✅ Customizing AI models using proprietary data ✅ Integrating data, AI and systems ✅ Focusing on high-value data products ✅ Managing unstructured data effectively Generative AI is seen as a key technology lever for business reinvention by 82% of organizations surveyed. Enterprises are enhancing annual productivity gains by up to 5x through generative AI-powered innovation. Industries like financial services, consumer products, and technology are leading in data-driven decision making enabled by AI. Bottom Line? Generative AI is rapidly being adopted by enterprises to drive innovation, efficiency and value creation, with data management and integration being critical success factors. But challenges around data quality, governance and responsible AI use need to be carefully managed. 👉 If you're looking for some help implementing Gen AI in your enterprise, reach out. We love this stuff. 🙂

Garbage in, garbage out. Still holds true. https://lnkd.in/gYj53jaP

What is the generative AI ecosystem? The straight answer... 👇 An interconnected network of technologies, tools, platforms, and stakeholders involved in the development, deployment, and application of generative artificial intelligence. This ecosystem is dynamic and rapidly evolving, encompassing a wide range of components and players that collectively contribute to the advancement and utilization of generative AI technologies. Get the full picture by reading the article below.

Fog Solutions is proud and honored to have achieved the prestigious Microsoft Solutions Partner, Data & AI (Azure) designation!!! https://lnkd.in/ekdwjyq6

As a valued Databricks partner, we're thrilled to share insights on Databricks' groundbreaking Mosaic AI Agent Framework and Agent Evaluation tools. This innovative suite is revolutionizing how organizations build and deploy high-quality generative AI applications. Key highlights: • End-to-end LLMOps workflow for rapid development • AI-assisted evaluation with customizable metrics • Seamless integration with Databricks Data Intelligence Platform • Automated real-time pipelines for efficient data handling • Built-in governance and guardrails for safe, policy-compliant AI Whether you're developing RAG systems or exploring other AI applications, Mosaic offers the tools to streamline your workflow, enhance quality, and optimize performance. Reach out when you want to start leveraging these powerful capabilities for your organization. 👍 #AI #Databricks #GenerativeAI #AIConsulting #FogSolutions https://lnkd.in/eG49bmuN

Here's a brief review of 4 key announcements at Databricks Data+AI Summit 2024. More to come...

5 key takeaways from McKinsey on the promise and reality of generative AI agents in the enterprise... 1. Generative AI agents are evolving to become true virtual workers that can augment and automate enterprise services across HR, finance, customer service, and more. Their ability to personalize interactions and help human agents learn is particularly valuable. 2. Building trust in generative AI is critical for employee adoption. This requires demystifying the technology and clearly explaining how it can help employees. 3. Generative AI levels the playing field, allowing companies to compete in new areas by delivering services with lower labor intensity. 4. The capabilities of modern generative AI agents to handle massive volumes of interactions while delivering personalized service are unprecedented compared to past technologies. 5. In customer service specifically, generative AI's ability to provide personalized content is a key driver of better service quality and customer satisfaction. We help enterprise clients take advantage of AI every day. Reach out to see what we can do for you. https://lnkd.in/eiskVgT6

Struggling to manage vast amounts of diverse data and transform it into actionable insights? Here's how to streamline your data ingestion process... 👇 Start by implementing a metadata-driven framework. Our latest blog post dives deep into the benefits of adopting this approach: ✅ Automate data pipelines and reduce manual effort ✅ Ensure data quality and compliance ✅ Scale effortlessly as your data grows We also show how the Fog Ingestion framework, powered by Databricks, can help you: ✅ Increase data processing speed for faster ✅ Handle growing data volumes without significant ✅ Enhance data governance and security Don't let complex data ingestion hold you back from becoming a truly data-driven enterprise. Grab some of that low-hanging data fruit. 🍒 Read the full article to learn how a metadata-driven ingestion framework can transform your data strategy. https://lnkd.in/gZ2iKrXJ Start your journey towards smarter, faster decisions. #DataIngestion #MetadataDriven #DataInsights #Databricks #FogSolutions

Fog Solutions own Greg Steinmetz gives the run down on what you need to know from #FABCON 2024!

Check out our latest Blog outlining our discoveries after 6 months leading an AI services firm! https://lnkd.in/evYax9fb