The AI Data Factory: A Platform for Monetization A data factory? Seriously? That sounds like a way to generate even more data. Aren’t most of us already drowning in data? Well, yes, but that’s not exactly what we’re talking about. In fact, we want to help you use that data to swim like an Olympic champ, not drown in a sea of trivia. Dive in here: https://bit.ly/41SQ0gJ #AI #DataFactory #DataMonetization
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Connecting fragmented data sources can deliver quick meaningful wins for your organization. But it takes the right expertise, discipline, and partners to help make the most of that data, while limiting its shortcomings. On the Engenai platform, it's as simple as connecting your datasources in our GUI console. The real work begins when you evaluate, vet, and train the outputs of that data. All of which you can also do in the Engenai console. Our platform also allows you to apply different LLMs against different datasets. Some of your data may be suitable for commercially licensed models, while other datasets are proprietary and need better protection. With Engenai, you can point open source models against sensitive data, and keep it secure within your firewalls. We'd love to talk to you more about how you can do a quick pilot with your data. Drop us a message at: hello@engenai.com --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #bigdata #datainsights #dataanalytics #strategicinsights #ecommerce
𝗔𝗴𝗶𝗹𝗲 𝗮𝗻𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝘀𝘁 𝗮𝗻𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 — I create uncommon solutions to common problems.
One of the use cases I’ve heard the most excitement about when talking to clients is data enrichment, and how disparate sources can now be connected to derive more impactful business insights using generative AI: https://lnkd.in/gNwZfQDZ As this technology began to emerge, I was adamant--and still am--that it was going to democratize access to information. Today, using conventional technologies, unless you have the skills and expertise to work with data, it can remain largely inaccessible to you. With genAI, you can begin to making the potential of that data more accessible, across the organization. You don’t have to know which databases and fields to query, you don’t have to let data format differences limit you. You can now interact with the data in organic, human-centered ways. But…as much promise as genAI has, all of the challenges and considerations still exist when working with big data. Add into that the challenges of AI hallucinations, overfitting, and bias, and it is critical that you have the discipline and expertise to address its limitations. Even so, you can have impactful, early wins by leveraging your data across your organization with genAI. --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #bigdata #datainsights #dataanalytics #strategicinsights #ecommerce
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#AI in 5 min? It's possible with #OracleAnalytics! Read this blog to learn how you can create an AI data visualization in less time than it takes to brew a fresh pot of coffee: https://lnkd.in/gud8SRvw
Start using Oracle Analytics and AI in 5 minutes!
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𝗔𝗴𝗶𝗹𝗲 𝗮𝗻𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝘀𝘁 𝗮𝗻𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 — I create uncommon solutions to common problems.
One of the use cases I’ve heard the most excitement about when talking to clients is data enrichment, and how disparate sources can now be connected to derive more impactful business insights using generative AI: https://lnkd.in/gNwZfQDZ As this technology began to emerge, I was adamant--and still am--that it was going to democratize access to information. Today, using conventional technologies, unless you have the skills and expertise to work with data, it can remain largely inaccessible to you. With genAI, you can begin to making the potential of that data more accessible, across the organization. You don’t have to know which databases and fields to query, you don’t have to let data format differences limit you. You can now interact with the data in organic, human-centered ways. But…as much promise as genAI has, all of the challenges and considerations still exist when working with big data. Add into that the challenges of AI hallucinations, overfitting, and bias, and it is critical that you have the discipline and expertise to address its limitations. Even so, you can have impactful, early wins by leveraging your data across your organization with genAI. --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #bigdata #datainsights #dataanalytics #strategicinsights #ecommerce
Connecting the Dots: Unleashing the Power of Your Distributed Data for Impactful Business Insights
engenai.com
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#AI in 5 min? It's possible with #OracleAnalytics! Read this blog to learn how you can create an AI data visualization in less time than it takes to brew a fresh pot of coffee: https://lnkd.in/e2JUXtt7
Start using Oracle Analytics and AI in 5 minutes!
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Tired of the AI buzz with no real talk about the challenges? #Qlik is offering a new take with a global panel discussing the future of AI in #data and analytics. Register to be the #AI hero your organization deserves!
Visionary Voices in AI Webinar Series: Episode 1: Unleash Your Inner AI Hero
infl.tv
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We’re seeing some really interesting growth in the Data Governance space at present. Is this skill set still underappreciated in the market? With so much talk around Artificial Intelligence, your data is still the true game-changer. If your data sucks, your AI journey will be nowhere near as impactful to your business. The quality of your data is the secret sauce that fuels the performance and accuracy of AI models. Now, more than ever, implementing a robust data model is the key to unlocking the full potential of AI. Let's elevate our AI game by understanding and nurturing the backbone of innovation – your data! #DataQuality #DataGovernance
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Yes!!! In the realm of Artificial Intelligence (AI) and Machine Learning (ML), the quality of data is critical. AI and ML algorithms rely on accurate and comprehensive data to generate precise and insightful results. For example, if a model is trained on incomplete or inaccurate data, its predictions can be misleading. Additionally, ML algorithms improve over time with new data, so maintaining a consistent flow of quality data is essential for optimal performance. Investing in data quality is crucial for ensuring that AI and ML models provide reliable results that can drive business success.
We’re seeing some really interesting growth in the Data Governance space at present. Is this skill set still underappreciated in the market? With so much talk around Artificial Intelligence, your data is still the true game-changer. If your data sucks, your AI journey will be nowhere near as impactful to your business. The quality of your data is the secret sauce that fuels the performance and accuracy of AI models. Now, more than ever, implementing a robust data model is the key to unlocking the full potential of AI. Let's elevate our AI game by understanding and nurturing the backbone of innovation – your data! #DataQuality #DataGovernance
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"Data as a by-product" vs "data as an asset" - from Alan Brown https://lnkd.in/efq37qcN "The optimistic picture of AI automating decision making based on vast collections of well managed data is a myth. The reality is a far messier mix of technical and human curating of data involving substantial “data cleaning” to make is fit for purpose . . . . #ai #aiadoption #data #datascience #dataandanalytics #dataandai #singlesourceoftruth
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The #QlikConnect keynote today was a glimpse into the exciting future of data analysis. "Qlik Answers" with Generative AI represents a game-changer, allowing users to directly query unstructured data within the dashboard itself. Equally impressive were the previews of the new user interface and the Generative AI-powered insight advisor. These advancements promise real-time explainability of live data, empowering users to gain deeper understanding. Additionally, the introduction of no-code script pipeline builders and data quality scoring tools further streamlines data management and analysis. #QlikConnect2024 #DataIntegration #AI #Analytics #QlikElitePartner
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[Make data-driven decisions with analysis assistance in #BusinessCentral] 🚀 Business Central has powerful built-in capabilities to create analytical views of data, but manually constructing those views requires time and skill. #Copilot simplifies analysis by transforming raw data into clear views with totals, grouping, pivots, and filters—all from simple text instructions and without ever leaving Business Central. Prompted by just a simple sentence, Copilot can identify trends and anomalies in your data, helping you make data-driven decisions that propel your business forward. Reach out to ABSYS CYBORG to learn more about analytical views of data. #LinkUpChallenge #AbsysCyborg #micorsoftdynamics365 #copilot #AI #BusinessCentral https://lnkd.in/emDk97Ys
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