DivIHN Integration Inc’s Post

In the simplest terms possible #DataAnalytics: Realizing the significance of the data. #DataScience: Use data to address issues in business. #Machinelearning: Creating intelligent systems with the use of data and algorithms. #dataanalytics #cloud #datascience #ai #ml

New day new goals! Learning data cloud seems useful as- As businesses continue to generate and collect unprecedented amounts of data, the Data Cloud is not just a tool—it's a necessity. It empowers organizations to innovate, adapt, and thrive in a data-centric world. Powered with- Business Intelligence AI and Machine Learning Real-Time Analytics Motivates me to keep making progress. #datacloud #progress #salesforcegoals

The cloud revolutionized data science, but are you stuck in a single-cloud rut? A multi-cloud strategy can be your game-changer, unlocking a world of diversity, flexibility, and cost savings.  Check out our Full Blog for actionable tips on implementing a winning multi-cloud strategy for your data science projects! Blog link: https://lnkd.in/gepyXPXY #DataScience #MultiCloud #CloudComputing #AI #MachineLearning #BigData #Innovation #CostOptimization #Flexibility #Scalability #AItoBI

Navigate the complexities of data with our Data Analytics solutions. In today's tech-driven world, efficient data management is crucial for business success. Discover how Calsoft can help optimize your data processes with Data Quality Management, DataOps, and Cloud Data Platforms. Learn more - https://hubs.la/Q02zNWXP0 #technologyfirst #dataanalytics #AI #ML

Generative AI is the buzzword of 2023, and rightly so. Learn about the building blocks that will make your leap into AI a successful one with the Google Cloud Analytics Lakehouse then join our Live Q&A with Google Experts ⬇️ #genai #googlecloudanalytics

While the cloud is the best place to build modern data centric applications, there are challenges that come with the heavy data growth (we're talking Petabytes here!) associated with it. 😰 To use the data with existing applications, it may need to be transformed or loaded into other cloud services like a database or filesystem. The applications need to become scalable and may need rearchitecting to scale and leverage the right cloud resources. The data becomes more unknown or dark, which means it is less understood and difficult to guarantee security and compliance. When you add AI into the mix, those challenges are only compounded! The addition of AI and ML means that architecture choices made a few years back are now stale or inefficient. We're excited to work on these challenges. 🙌 Our vision is to build a great cloud data platform that fuses the best of research with an efficient and agile cloud native approach. Want to learn even more? Check out our blog: https://bit.ly/3GUl1Hu #DataCompression #AI #DataEngineering

“Generative AI will only be able to fulfill its promises if it has a strong data foundation.” We couldn’t agree more with this statement. A strong data foundation is essential to deliver meaningful results in any business application, whether AI/ML, BI, or others. At Faction, we empower organizations to harness the full power of their data by providing a premier data foundation that fuels a multi-cloud data management approach. From storage and data recovery to multi-cloud data access and management, Faction provides the data foundation needed to fulfill business objectives. #AI #Cloud #DataFoundation #DataManagement https://bit.ly/3VCjkHb

Generative AI is the buzzword of 2023, and rightly so. Learn about the building blocks that will make your leap into AI a successful one with the Google Cloud Analytics Lakehouse then join our Live Q&A with Google Experts ⬇️

Generative AI is the buzzword of 2023, and rightly so. Learn about the building blocks that will make your leap into AI a successful one with the Google Cloud Analytics Lakehouse then join our Live Q&A with Google Experts ⬇️

Generative AI is the buzzword of 2023, and rightly so. Learn about the building blocks that will make your leap into AI a successful one with the Google Cloud Analytics Lakehouse then join our Live Q&A with Google Experts ⬇️