Adelina Balasa

NEW BLOG - 💰The TCO of Photon in Databricks: Is it a No Brainer? 🚀 Do you enable Photon on all of your clusters? Is the only photon you know of a particle in an electromagnetic field? Does your CIO want to reduce cloud costs? Either way, this post is for you... Post in comments. #databricks #lakehouse #dataengineering

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Is AI a new digital species? Let's discuss. Here are my thoughts on a recent TED Talk by Microsoft AI CEO Mustafa Suleyman. http://2.sas.com/6043jaDJB #ArtificialIntelligence

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Our episode on the The Data Exchange Podcast with our fantastic host Ben Lorica 罗瑞卡 , and featuring my great colleague Hima Patel , on data preparation for LLM applications (RAG, fine-tuning, instruct-tuning, and pre-training) using the Data Prep Kit is out! Data Prep Kit is the open-source (Apache 2.0 license) framework and transforms for language and code, which we used in IBM Research to prepare the data for the training of #IBM 's #Granite models ( https://lnkd.in/eUvZVK2t ). Running at any-scale, from a laptop to a datacenter and handling from a few pages of text to hundreds of billions of documents, it is available in pure-#Python , #Ray , #Spark and with #KubeFlow pipelines. Feel free to check it out here: https://lnkd.in/ehGjpbzG #IBMResearch #AI #GenAI #LLM

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A great overview of AI tools in data analytics. Choose the right AI tool to empower your data strategy and drive business value. #AI #DataAnalytics

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I just published a new blog on how we are seeing many architectures for intelligent organizations use the same pattern of combining LLMs and Knowledge Graphs. I use the metaphor of Convergent Evolution to illustrate these points. Looking for feedback! #LLM #GenAI #KnowledgeGraphs #EnterpriseKnoweldgeGraphs #Evolution #Metaphor #AI #IntelligentOrganizations #BiologyInspired

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Most of the generative AI use cases I work with customers on leverage Retrieval Augmented Generation (RAG) in one way or another. Search results are crucial, which is why I always recommend a comprehensive search service like Azure AI Search to capitalize on vector and semantic search results. However, sometimes even that does not yield the accuracy needed. The solution? Read this insightful blog by my colleagues Andrew Ditmer and Liam Cavanagh to discover how to implement #superRAG. [Link to the blog: https://lnkd.in/ebSE_yte] #AI #ArtificialIntelligence #AzureAISearch #RAG #superRAG

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With #IcebergSummit happening tomorrow online, I took a trip down memory lane by listening to the #DataFemme episode featuring Alex Merced of Dremio. This episode is packed full with information, not just about #Apache Iceberg, but about the best ways to get started as a contributor to #opensource projects. Alex is an expert content creator with extensive knowledge about Apache products and their role in technology. This is a must listen for everyone heading towards Iceberg Summit tomorrow! https://lnkd.in/guqYdzG2 Tabular Amazon Web Services (AWS) bodo.ai Cloudera Confluent PuppyGraph Snowflake Starburst Upsolver

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The Next Web reports about Google DeepMind releasing the 2 billion parameter version of their Gemma 2 AI model with claims that it outperforms all GPT-3.5 models on the LMSYS Chatbot Arena leaderboard https://lnkd.in/e9_CA-pw. #google #deepmind #gemma2 #lmsys #chatbot #generativeai #largelanguagemodel #thenextweb

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A majority of 1,100 enterprise decision-makers surveyed by Capgemini say they plan to deploy #AgenticAI systems by the end of 2025. This is a big shift from the estimated 10% that plan to do so in 2024. For many, this raises the question of what the difference is between AI assistants (chatbots), AI agents, and Agentic AI. And for the underlying model architectures, why do most experts say that today's #LLMs and #GenerativeAI are insufficient alone and must be augmented with an ecosystem of specialized models? Watch the podcast below to learn more. Or read the research note here: https://lnkd.in/gu2MzYD4 Rob Strechay SiliconANGLE & theCUBE

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This article from Teradata reinforces the well known paradigm of the absolute necessity to involve and get buy-in from business stakeholders for the success of AI Projects. I think this dictum is often overlooked, underplayed or ignored, leading to re-thinking about AI in the Enterprise.

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VentureBeat writes about Microsoft's Phi-3 model enabling new generative AI applications on-device with its high quality outputs despite the relatively small model size https://lnkd.in/eqR3swC4. #microsoft #phi3 #generativeai #largelanguagemodel #artificialintelligence #venturebeat

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The architecture of the RelationalAI Knowledge Graph Coprocessor is distinctive, enabling direct AI application to structured enterprise data within relational databases such as Snowflake, diverging from prevalent machine learning and AI methods that prioritize unstructured data like text, images, and audio. https://lnkd.in/duGSZtHw #RelationalAI #KnowledgeGraph #Coprocessor #StructuredData #Snowflake #DatabaseAI #MachineLearning #StructuredAI

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Snowflake's open source Arctic AI model is, as David Vellante stated, more important for Snowflake than anything else in its quest to show AI leadership. And Sarbjeet Johal's comments on focusing on RAG-related tooling make a lot of sense. It will be interesting to watch this play out. #ai #artificialintelligence #dataplatforms #aimodels #snowflake #theCUBEresearch

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Incredibly excited by next week . . . I get the chance to listen to three innovators about how they're transforming their businesses with data at the ThoughtSpot Data Renaissance Tour. 💡 OVO are on a mission to achieve "Plan Zero" and Data Intelligence is at the core of their business. See how their Customer Intelligence Hub has improved day to day decision making and customer outcomes 💡 Brambles are building a culture of analytics by democratising data and using data to foster new ways of working. Hear how they are building a data fluent workforce and giving business users the confidence to use data 💡 Vita Mojo are transforming the hospitality industry with real time insights to drive restaurant performance. Using ThoughtSpot to embed analytics back to their customers and help turn data into revenue Want to be there? https://lnkd.in/ebkNQCRd

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📸 🐿️ Fascinating read about the role of AI in detecting brown/red squirrels in an effort to increase the population of the latter, endangered species in the UK. Apparently, you can detect individual squirrels using their whiskers, and the idea will be to further enhance the system to detect individuals and family lines. This work reminds me a lot of work we did at Tryolabs in collaboration with Lion Guardians US, to track individual lions by detecting whisker patterns! If you are interested in learning more about these topics, check the links below: Our work with 🦁: https://lnkd.in/dAkwCErw The original article on squirrels: https://lnkd.in/dNDZHQfW

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I'm thrilled to share a bonus episode of the Data Today #podcast on #AIAppreciationDay. This one is particularly special to me: Data and Artificial Neural Networks with Damian Borth.    Neural networks are the backbone of many #AI and machine learning systems. But how can they be applied to real-world scenarios?    I had the incredible opportunity to sit down with Damian Borth, Professor of Artificial Intelligence and Machine Learning at the University of St.Gallen and director of its Computer Science Institute. Damian's ground-breaking work on neural networks spans several crucial areas, including climate change, financial fraud detection, and text-to-speech. It's no wonder he’s a recipient of the prestigious Google Research Scholar Award!    In this episode, we dive into:  What #neuralnetworks are and what they do How their application can help tackle global challenges Insights from Damian's vast experience and groundbreaking research   I found our conversation incredibly enlightening and inspiring, and I can't wait for you all to hear it. Tune in to discover how #ArtificialIntelligence and neural networks could help save the world! #TechForGood https://lnkd.in/ePTYn3AC #MachineLearning #DataScience #Innovation #Research #Data #Technology

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