Enterprise Gen AI consulting has a reputation. And not a good one. You’ve seen it before. A big-name consultancy parachutes in... Drops a 300-page report on your desk, and bills you for "ideation workshops" where everyone nods thoughtfully, but no one actually solves anything. In the end, you have: ? A sleek PowerPoint. ? A lot of “strategic recommendations.” ? No working AI system. We do things differently. ???????? ???? ??????’?? ???? ? Call everything “AI-powered” just to sound futuristic. (Your chatbot is just a glorified FAQ, and that’s okay.) ? Propose a five-year roadmap before checking if you even have clean data. ? Use words like "synergistic AI ecosystems"—unless we’re mocking them. ???????? ???? ???????????????? ???? ? Find real use cases. Not “AI for the sake of AI,” but AI that fixes real problems in your business. ? Deliver working solutions. Not just “recommendations” that leave your engineers staring into the void. ? Make it practical. If an AI tool isn’t saving money, making money, or reducing headaches, why bother? ?????????? ?????????? ?????????? ???????????????????? ???? ???????????????????? A Fortune 500 company once spent millions on an elite AI consulting firm. The firm produced: A cutting-edge AI strategy (that nobody could implement). A proof of concept (that hallucinated so bad, it insisted 2+2 equals “banana” and threatened to sue everyone who disagreed). A keynote presentation (very slick, very useless). Meanwhile, a competitor hired a team that actually built something. A simple AI automation tool that shaved 20% off operational costs. Guess who’s leading the market now?1 ??????’?? ???? ???????? ?????? ?????????? ??????... If you need AI that actually works, not just an expensive slide deck, we should talk. We’ll help you: ?? Figure out what AI can and can’t do for your business. ?? Build solutions that actually work at scale (without breaking everything). ?? Avoid the AI hype trap and focus on real ROI. Let’s talk about the problem you want to solve with Gen AI. Click on the link in the comment section.2 ----------- Footnotes (Because They Make Us Look More Serious): 1 It’s the competitor. It’s always the competitor. 2 Or don’t. But then you’ll still be trying to “leverage AI” without actually leveraging anything.
Fog Solutions
IT 服务与咨询
Boston,Massachusetts 818 位关注者
We harness the transformative power of Data & AI to create clarity, drive trust, and empower your business.
关于我们
Fog Solutions is the premier Databricks and Microsoft Azure partner. Our expert consulting teams are tenaciously focused on driving our clients data & AI strategy, building modern data platforms, and ultimately creating differentiated experiences through AI enabled Apps. Unlike the GSI’s, the A team you meet on day 1 is also the team that delivers by your side for years to come, led by a former CxO or GM who knows how to deliver business impact.
- 网站
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https://www.fogsolutions.com/
Fog Solutions的外部链接
- 所属行业
- IT 服务与咨询
- 规模
- 11-50 人
- 总部
- Boston,Massachusetts
- 类型
- 私人持股
- 领域
- Unified Analytics Platform、Data Lakehouse、Machine Learning、Data Engineering、Data Warehousing、Data Streaming、Cloud Computing、Data Science、Generative AI、Gen AI、AI Apps、Intelligent Apps、Big Data and Analytics、Enterprise Data and BI、Integration and APIs和Advanced Analytics
地点
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主要
US,Massachusetts,Boston,02115
Fog Solutions员工
动态
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No Cost Microsoft Fabric Analyst in a Day (FAIAD) session! Join Fog's thought leaders ? Marcus Crast ? and Greg Steinmetz for a hands-on, immersive Microsoft Fabric Analyst in a Day (FAIAD) session where you'll learn how to leverage this powerful tool to unlock insights, automate workflows, and accelerate decision-making.??FAIAD is an intermediate-level training designed for data analysts or engineers who are new to Microsoft Fabric. What to Expect: Introduction to Microsoft Fabric: Learn the core features and capabilities of this cutting-edge data platform. Interactive Demos: Engage in practical, real-world scenarios to build and optimize data pipelines. Hands-On Labs: Work with expert instructors to explore data analysis tools and create impactful reports. Networking Opportunity: Connect with fellow analysts, data professionals, and Microsoft experts. Date: January 2, 2025 Time: 9:00 am (EST) - 5:00 pm?(EST) Location: Virtual Register Here: https://lnkd.in/egXwn9JR
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Attending Microsoft Ignite in Chicago? Join Fog Solutions and Striim for an exclusive Lunch & Learn: Deep Dish Dive into AI: Power Real-Time Data Ingestion into Microsoft Fabric with Striim & Fog Solutions! ???? ?? November 20, 2024 ?? 12:30 PM–2:00 PM ?? Il Culaccino, 2134 S Indiana Ave, Chicago, IL 60616 Explore how real-time data integration can drive transformative insights with Microsoft Fabric. Don’t miss this chance to connect with industry experts! Register today! ?? https://lnkd.in/eAJgGKvK hashtag #AI hashtag #artificialintelligence hashtag #microsoftignite hashtag #microsoftignitechicago
Striim RSVP - Lunch & Learn
go2.striim.com
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Fog Solutions is thrilled to announce that Stacy Martin has joined as our Chief Operating Officer.?Stacy has decades of experience leading and growing technology services firms across people and process, and from sales through delivery.?Like everyone at Fog, she is client obsessed and will be dedicated to delivering exceptional projects.?Beyond that, she will help us scale to meet the once-in-a-generation opportunity that AI presents. Welcome to the team, Stacy!
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Databricks Apps is in public preview, and it's awesome. Here are 5 things we love about it...and why ?? ???????????????????????? ?????????????????????? ???????????????????? ? Leverage familiar Python frameworks: Build with Dash, Shiny, Gradio, Streamlit, and Flask. ? Seamless IDE integration: Develop in Visual Studio Code or PyCharm, your choice. ? Pre-built templates: Jumpstart your app development with ready-to-use Python templates. ? Local or cloud development: Work in your preferred environment, then deploy effortlessly. ??????????????-???????? ?????????????????? ???????????????????? ? Serverless compute: Apps run on auto-provisioned infrastructure, eliminating manual setup. ? Git integration: Benefit from version control for collaborative, trackable development. ? CI/CD pipeline support: Streamline your workflow with integrated continuous integration and deployment. ? Scalability: Automatically handle varying workloads without manual intervention. ????????????????????-?????????? ???????????????????? ?????? ???????????????? ? Unity Catalog integration: Centralized data governance across your entire Databricks ecosystem. ? Granular access controls: Ensure data is accessed only by authorized personnel. ? Automated service principals: Simplify and secure app-to-service authentication. ? SSO and OIDC/OAuth 2.0: Robust user authentication mechanisms built-in. ???????????????? ???????????????? ?????????????????????? ? Access to Databricks SQL: Harness the power of SQL queries directly within your apps. ? AI model serving: Integrate machine learning models seamlessly into your applications. ? ETL job integration: Connect your apps to data pipelines for real-time insights. ? Unified data access: Leverage Delta Lake, data warehouses, and data lakes effortlessly. ?????????????????? ?????????????????? ?????? ?????????? ???????????????? ? Databricks Marketplace: Partners can now build, package, and sell data products and AI assets. ? Self-service analytics: Empower business users with custom, governed data applications. ? Rapid prototyping: Quickly iterate on ideas and bring concepts to life. ? Cross-functional collaboration: Bridge the gap between data teams and business stakeholders. Yes. We partnered up with Databricks. But we didn't ???????? to. Innovations like Databricks Apps make us just ???????? to. ??
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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. ??
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Garbage in, garbage out. Still holds true. https://lnkd.in/gYj53jaP
Ensure High-Quality Data Powers Your AI
hbr.org
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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.
What is the Generative AI Ecosystem?
Fog Solutions,发布于领英
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Fog Solutions is proud and honored to have achieved the prestigious Microsoft Solutions Partner, Data & AI (Azure) designation!!! https://lnkd.in/ekdwjyq6
Fog Earns Top Microsoft Data & AI Status - Fog Solutions | Enterprise AI
https://fogsolutions.com
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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
Databricks Mosaic AI Framework
perplexity.ai