Brijesh Singh’s Post

What is Data Engineering? This often-underappreciated role is key to the development of AI models. Check out my latest blog to learn about Data Engineering and its increasing relevance in the digital age.

Featuring topics like data infrastructure, data contracts, foundation models, and more, these are ten key topics that you'll learn about at the Data Engineering Summit this April. #DataScience #AI #ArtificialIntelligence https://hubs.li/Q02qBt0X0

Vector databases have become indispensable in powering Generative AI engines. They power AI systems to interpret complex, multidimensional data, shaping the future of data infrastructure. In our latest blog post, we discuss everything you need to know about Vector stores - what they are, how they are different from traditional data stores, and why they have become a critical cog in Generative AI's data architecture. (Predera) #Predera #VectorDB #LLMCloud

Featuring topics like data infrastructure, data contracts, foundation models, and more, these are ten key topics that you'll learn about at the Data Engineering Summit this April. #DataScience #AI #ArtificialIntelligence https://hubs.ly/Q02qTXsj0

Ranging from experimentation platforms to enhanced ETL models and more, here are some more sessions coming to the 2024 Data Engineering Summit. #DataScience #AI #ArtificialIntelligence https://hubs.li/Q02qTWrs0

Featuring topics like data infrastructure, data contracts, foundation models, and more, these are ten key topics that you'll learn about at the Data Engineering Summit this April. #DataScience #AI #ArtificialIntelligence https://hubs.ly/Q02r9tgX0

As we move further into 2024, the landscape of data engineering is rapidly evolving. This insightful article from Datafloq delves into the latest trends that are shaping the future of this critical field. From advancements in AI and machine learning to the growing importance of data privacy and governance, there’s a lot to uncover. 📊 Whether you're a data engineer, analyst, or simply interested in the future of data, this article offers valuable insights and predictions that you won't want to miss. 🔗 Read more here: https://lnkd.in/d8GX6CXE #DataEngineering #AI #MachineLearning #DataPrivacy #DataGovernance #TechTrends #2024Trends #DataAnalytics

I'm thrilled to share my 71st article on DZone, titled 𝑫𝒂𝒕𝒂 𝑨𝒓𝒄𝒉𝒊𝒕𝒆𝒄𝒕𝒖𝒓𝒆𝒔: 𝑬𝒎𝒑𝒉𝒂𝒔𝒊𝒔 𝒐𝒏 𝑬𝒎𝒆𝒓𝒈𝒊𝒏𝒈 𝑻𝒓𝒆𝒏𝒅𝒔. In this article, I delve into the latest advancements shaping the field of data architecture. Key highlights include: 𝑺𝒄𝒂𝒍𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝒂𝒏𝒅 𝑭𝒍𝒆𝒙𝒊𝒃𝒊𝒍𝒊𝒕𝒚: Exploring how modern architectures are designed to handle growing data volumes efficiently. 𝑪𝒍𝒐𝒖𝒅 𝑰𝒏𝒕𝒆𝒈𝒓𝒂𝒕𝒊𝒐𝒏: Discussing the shift towards cloud-based solutions and their impact on data management. 𝑨𝑰 𝒂𝒏𝒅 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈:Examining the role of AI in optimizing data processes and decision-making. 𝑰 𝒘𝒐𝒖𝒍𝒅 𝒍𝒐𝒗𝒆 𝒇𝒐𝒓 𝒚𝒐𝒖 𝒕𝒐 𝒄𝒉𝒆𝒄𝒌 𝒊𝒕 𝒐𝒖𝒕 𝒂𝒏𝒅 𝒔𝒉𝒂𝒓𝒆 𝒚𝒐𝒖𝒓 𝒕𝒉𝒐𝒖𝒈𝒉𝒕𝒔! 𝑰𝒇 𝒚𝒐𝒖 𝒇𝒊𝒏𝒅 𝒊𝒕 𝒗𝒂𝒍𝒖𝒂𝒃𝒍𝒆, 𝒑𝒍𝒆𝒂𝒔𝒆 𝒈𝒊𝒗𝒆 𝒊𝒕 𝒂 𝒍𝒊𝒌𝒆 𝒂𝒏𝒅 𝒄𝒐𝒏𝒔𝒊𝒅𝒆𝒓 𝒓𝒆𝒑𝒐𝒔𝒕𝒊𝒏𝒈 𝒕𝒐 𝒉𝒆𝒍𝒑 𝒔𝒑𝒓𝒆𝒂𝒅 𝒕𝒉𝒆 𝒌𝒏𝒐𝒘𝒍𝒆𝒅𝒈𝒆 𝒘𝒊𝒕𝒉𝒊𝒏 𝒐𝒖𝒓 𝒄𝒐𝒎𝒎𝒖𝒏𝒊𝒕𝒚. —————————————————————- Follow VidyaSagar Machupalli FBCS for such content. Read more here: https://lnkd.in/d6dKSPWS Thank you for your support! Marcy Tillman Dominique Roller Pugh DZone Henrik Loeser Armand Ruiz

In enterprise artificial intelligence, there are two main types of models: discriminative and generative. Discriminative models are used to classify or predict data, while generative models are used to create new data. #DataStorage #MachineLearning #DataScience by Keith Pijanowski thanks to MinIO