Data Science Dojo
NOVEMBER 27, 2024
The fields of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.
insideBIGDATA
DECEMBER 11, 2024
KNIME, the open source data analytics and AI company, announced the launch of its AI companion K-AI to all users. With K-AI, users can co-create powerful data workflows with AI. K-AI will answer questions, make recommendations, and extend or build whole data workflows based on user prompts.
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insideBIGDATA
APRIL 14, 2025
Its been an eventful week in the HPC-AI industry, heres a rapid (8:39) run-down of recent news, including: Argonne's AI-based reactor digital twin, AI factory on the moon?, export penalty, Chinese AI order of Nvidia H20 GPUs, HPC-AI market growth. A happy Tax Day (U.S.) Eve to you! TSMC may face US$1B U.S.
Data Science Dojo
NOVEMBER 25, 2024
Artificial intelligence (AI) and natural language processing (NLP) technologies are evolving rapidly to manage live data streams. Moreover, LangChain is a robust framework that simplifies the development of advanced, real-time AI applications. What is Streaming Langchain? Why does Streaming Matter in Langchain?
Speaker: Tamara Fingerlin, Developer Advocate
As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0
insideBIGDATA
NOVEMBER 30, 2024
In this contributed article, Aayam Bansal explores the increasing reliance on AI in surveillance systems and the profound societal implications that could lead us toward a surveillance state.
insideBIGDATA
DECEMBER 27, 2024
A new Capital Onesurvey"AI readiness survey: Are companies ready for AI adoption?" found that 87% of business leaders see their data ecosystem as ready to build and deploy AI at scale, yet 70% of technical practitioners spend hours daily fixing data issues.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. May 20th, 2025 at 12:30 PM PDT, 3:30 PM EDT, 8:30 PM BST
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Infusing advanced AI features into reports and analytics can set you apart from the competition.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
Speaker: Frank Taliano
For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve. Join us as we guide leaders in developing a clear, actionable strategy to harness the power of AI for process optimization, automation of knowledge-based tasks, and tangible operational improvements.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Don't miss out on this opportunity to stay ahead of the AI curve! Save your seat today and be part of the tech conversation that's shaping the future.
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