#Aerospike Chief Scientist Naren Narendran joined AiThority.Com’s Interview Series to discuss his technology journey and the role of #AI in real-time #data #management. Check it out here ↓
Clarence J M Tauro, Ph.D’s Post
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#Aerospike Chief Scientist Naren Narendran joined AiThority.Com’s Interview Series to discuss his technology journey and the role of #AI in real-time #data #management. Check it out here ↓
AiThority Interview with Naren Narendran, Aerospike's Chief Scientist
https://aithority.com
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#Aerospike Chief Scientist Naren Narendran joined AiThority.Com’s Interview Series to discuss his technology journey and the role of #AI in real-time #data #management. Check it out here ↓
AiThority Interview with Naren Narendran, Aerospike's Chief Scientist
https://aithority.com
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CTO at metto.today | Software Engineer | BCA | MCA | 5+ yrs exp Experienced CTO with 5+ yrs of software engineering expertise. Leading tech strategy & innovation at metto.today. BCA & MCA graduate. Let's connect!
🚀 Exciting times in the world of #DataScience! 📈 The future is brimming with possibilities as AI and ML integration, quantum computing, and data ethics take center stage. 🤖🔮 These trends will shape industries, improve decision-making, and drive scientific breakthroughs. 🌐 Are you ready to embrace the data-driven future? 🌟 Stay curious, stay adaptable, and stay ethical to unlock the true potential of data science. 🌐💡 #AI #MachineLearning #QuantumComputing #EthicalData #FutureTech #LinkedInInsights https://lnkd.in/dSmHpE6B
The Future of Data Science: Trends to Watch
http://metto.today
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So exciting to see RelationalAI get featured as an honorable mention in the insideBIGDATA IMPACT 50 List for Q3 2024! This list highlights companies making significant contributions to AI and big data, celebrating those driving innovation and excellence. Go team RelationalAI!! #AI #GenAI #KnowledgeGraphCoprocessor
The insideBIGDATA IMPACT 50 List for Q3 2024 - insideBIGDATA
https://insidebigdata.com
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Consultant in Data Science, Machine Learning, AI and Deep Learning | Tech journalist | Educator | Author | AI Industry Influencer
Just ran the data pipeline; so look Who's Who! The insideBIGDATA IMPACT 50 List for Q1 2024 https://lnkd.in/g2RxxV7V #BigData #datascience #machinelearning #ai #genai
The insideBIGDATA IMPACT 50 List for Q1 2024 - insideBIGDATA
https://insidebigdata.com
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Introducing my notebook, Mobile Price Classification 📱🤔💵! Dive into the world of data science and learn how to classify mobile phone prices step-by-step: 1️⃣ Importing Necessary Libraries 📚: I started by importing all the necessary libraries to set up the environment. 2️⃣ Loading The Data 🗄️: Next, I loaded the dataset, ensuring I had all the information needed to classify mobile phone prices. 3️⃣ Exploring the Data 🔍: I delved into the data, conducting comprehensive analyses and visualizations to unveil crucial insights for our classification task. 4️⃣ Data Pre-Processing 🧹: I scaled the features to ensure the models performed optimally. 5️⃣ Modelling 🤖: Finally, I built and trained various machine learning models to classify mobile phone prices, evaluating their performance to choose the best one. Check out the notebook and embark on this data science journey with me! 🌟 Link of the notebook: https://lnkd.in/dW-bGPAM #DataScience #MachineLearning #MobilePriceClassification #AI #DataAnalysis
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Global Strategic Value Acceleration - Corporate Development - Strategic Investments | Cloud Management - DataPlane - Cloud Infrastructure
The market is starting to figure out that LLM hallucinations are a critical roadblock for broad adoption. Creating deterministic model capabilities to illuminate hallucinations is the way forward, especially in critical use cases for the enterprise. Vector databases play a crucial role in interfacing with GenAI LLMs to make this happen.
New on Runtime: It's increasingly clear that vector databases are going to be the secret sauce for generative AI applications, and that shift could upend the enormous database market. They help solve the hallucination problem and allow companies to bring their own private data to the AI models of their choice, and some huge companies are about to emerge the same way that every enterprise tech breakthrough of the past few decades has brought a new database along for the ride. With contributions from KX's Michael Gilfix, Yury Malkov, DataStax's Jonathan Ellis, and Qdrant's Andre Zayarni.
Why vector databases are the engine of the AI era
runtime.news
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Data Professional /Affiliate Marketer/ Engineer / Physicist: ML & AI Enthusiast
✅The accumulation of artificial Intelligence (AI) and data science has the capability to transform the way people communicate with technology. ✅Learn More👇
Revolutionizing Technology: The Role of Data Science and AI
onpassive.com
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The market is starting to figure out that LLM hallucinations are a critical roadblock for broad adoption. Creating deterministic model capabilities to illuminate hallucinations is the way forward, especially in critical use cases for the enterprise. Vector databases play a crucial role in interfacing with GenAI LLMs to make this happen.
New on Runtime: It's increasingly clear that vector databases are going to be the secret sauce for generative AI applications, and that shift could upend the enormous database market. They help solve the hallucination problem and allow companies to bring their own private data to the AI models of their choice, and some huge companies are about to emerge the same way that every enterprise tech breakthrough of the past few decades has brought a new database along for the ride. With contributions from KX's Michael Gilfix, Yury Malkov, DataStax's Jonathan Ellis, and Qdrant's Andre Zayarni.
Why vector databases are the engine of the AI era
runtime.news
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🔹LinkedIn Top Voice 2024 | Data Science @Boomi | Chapter Lead @Women in Data| Podcast Host| Carnegie Mellon Alumnus
Learn more about the intricacies of model interpretability and enhance your understanding of decision-making in Machine Learning. Don't forget to join us tomorrow at 4:30 pm for a session on: Why Did My AI Do That? Decoding decision-making in Machine Learning. Looking forward to seeing you all there! #DataScience #GenAI #ODSC
Open Data Science Conference (ODSC) West begins tomorrow and we have gathered our recommendation for the top 10 sessions you won’t want to miss! From the packed 3 day schedule, we hand picked the talks we feel provide practical information that can be implemented in your organizations today, take an interesting forward-thinking approach, or provide considerations and opportunities for the future. Here’s our top 10 list: 1. Causality and LLMs Robert Osazuwa Ness, PhD Senior Researcher, Microsoft 2. Keynote: Human Centered AI Peter Norvig, PhD, Engineering Director, Education Fellow, Google, Stanford Institute for Human-Centered Artificial Intelligence (HAI) 3. Generative AI in Enterprises: Unleashing Potential and Navigating Challenges: Rama Akkiraju VP AI/ML for IT, NVIDIA 4. Scope of LLMs and GPT Models in Security Domain Nirmal Budhathoki, Senior Data Scientist, Microsoft 5. Machine Learning Has Become Necromancy Mark Saroufim, Staff Engineer, Meta 6. Building Using Llama 2 Amit Sangani, Director of Partner Engineering, Meta 7. A Background to LLMs and Intro to PaLM 2: A Smaller, Faster and More Capable LLM Andrew Dai, Principal Software Engineer, Google 8. Track Keynote: Implementing Gen AI in Practice Yaron Haviv, Co-Founder and CTO, Iguazio (Acquired by McKinsey) 9. Hidden Insights in Financial Audio Katie Kuzin, Product Lead, Voice to Text, Kensho Technologies, S&P Global Market Intelligence 10. Why Did My AI Do That? Decoding Decision-making in Machine Learning: Swagata Ashwani, Senior Data Scientist, Boomi Read the full blog here: https://lnkd.in/evifDb68 Enjoy the conference and don’t forget to come say hi to our team at booth #4 #ODSC #ODSCWest #LLM #GenAI Alina Dovbysh Eugenia Kot #datascience #generativeai McKinsey Digital #mlops #machinelearning
Top 10 ODSC West Sessions You Must Attend in 2023
https://www.iguazio.com
