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14, 2025InFlux Technologies (Flux), a decentralized technology company specializing in cloud infrastructure, AI and decentralized cloud computing services, has launched FluxINTEL, an advanced document intelligence engine designed to help businesses analyze critical data with greater speed and insight. CAMBRIDGE, UK Feb.
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.
By Kamal Hathi, SVP and GM, Splunk Products & Technology Today’s fast-evolving digital landscape, especially with the explosive growth of AI, has rapidly added to the complexity of data management.
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
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
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?
In this contributed article, Harikrishna Kundariya, co-founder, Director of eSparkBiz Technologies, discusses how generative AI is emerging as a revolutionary technology that is simplifying as well as reducing the cost of doing business across sectors.
We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.
By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 23, 2025 in Artificial Intelligence Image by Author | Ideogram Agentic AI has recently become the hottest topic in AI implementation. If you follow AI information on social media, you are likely to see posts about agentic AI. Let’s get into it.
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.
If you want to stay ahead of the curve, networking with top AI minds, exploring cutting-edge innovations, and attending AI conferences is a must. According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030. Lets dive in!
CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations.
In this contributed article, Vall Herard, CEO of Saifr.ai, discusses AI ethics. With the adoption of AI comes the next phase of innovation: understanding our moral compass and learning how to balance technology with morality — AND compliance.
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
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. .
By Josep Ferrer , KDnuggets AI Content Specialist on June 16, 2025 in Artificial Intelligence Image by Author Tired of repetitive tasks and constant copy-pasting between apps? In the era of AI, we no longer have to. And it is called Magical AI. I’m pretty sure we all are. Let’s dive in!
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!
Skip to Content MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe Biotechnology and health Google’s new AI will help researchers understand how our genes work First came AlphaFold. Now comes AlphaGenome for DNA.
Pure Storage® (NYSE: PSTG), the IT pioneer that delivers the world's most advanced data storage technology and services, today announced the expansion of its AI solutions with the new Pure Storage GenAI Pod, a full-stack solution providing turnkey designs built on the Pure Storage platform.
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.
In this contributed article, Ashley Marron, CEO of MindGenius, observes that as we approach the second anniversary of the launch of ChatGPT, it's important to look at the impact AI has had on business technology, radically changing how companies and industries work, in that short time.
April 9, 2025 Leidos (NYSE:LDOS), an information technology company for governments, and Moveworks, an agentic artificial intelligence assistant for enterprises, are collaborating with the aim of increasing efficiency of government workers in the U.S., Reston, Va., and Australia.
Today, we are excited to announce the availability of Databricks Free Edition, a product for learning and exploring the latest data and AItechnologies for free. Free Edition offers the
In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. Flask and Vector Embedding appeared first on Analytics Vidhya.
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.
Threats associated with AI use are rising in both volume and severity, as this new-age technology touches more and more aspects of human lives. A new report now warns of another impending danger associated with the wide-scale use of AI.
As a computer scientist who has been immersed in AI ethics for about a decade, Ive witnessed firsthand how the field has evolved. Today, a growing number of engineers find themselves developing AI solutions while navigating complex ethical considerations. For instance, there are many different definitions of fairness in AI.
As we bid farewell to 2024, the AI space reflects a year of transformative advancements reshaping industries, workflows, and human-technology interaction. Andrew Ng, one of the key figures of the AI community, encapsulates the essence of this year with key takeaways and reflections.
Skip to Content MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe Opinion Don’t let hype about AI agents get ahead of reality There is enormous potential for this technology, but only if we deploy it responsibly.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. Save your seat today!
SAN FRANCISCO,March 13, 2025 —DatabricksandPalantir Technologies Inc.(NASDAQ:PLTR), NASDAQ:PLTR), provider of enterprise operating systems, today announced a strategic product partnership that combines Palantir’s AI operating system and Databricks’ platform for AI, data warehousing and data engineering.
Meta Platforms CEO Mark Zuckerberg shared a similar sentiment, asserting that useful quantum computing is quite distant and that pretty smart AIs” will likely be available sooner. Former Cisco Systems CEO John Chambers stated that quantum computing is still a way off in the “AI decade.”
Unlike traditional AI systems that rely on external datasets and human intervention to improve, SEAL takes a bold leap forward by autonomously generating its own training data and refining its internal processes. Imagine AI systems that can retain knowledge over time, dynamically adjust to new tasks, and operate with minimal human oversight.
The CEO of one of the world's leading artificial intelligence labs just said the quiet part out loud: that nobody really knows how AI works. This lack of understanding," Amodei wrote, "is essentially unprecedented in the history of technology."
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.
government officials on January 30, 2025, to discuss advancements in artificial intelligence, specifically the unveiling of “PhD-level” super AI agents capable of complex human tasks. Sam Altman to discuss super AI agents with U.S. Sam Altman, CEO of OpenAI, is scheduled to meet with U.S.
A philosophical divergence between Meta CEO Mark Zuckerberg and Chief AI Scientist Yann LeCun regarding artificial intelligence strategy and timelines became evident last week with the announcement of Meta Superintelligence Labs , generating uncertainty about the company’s future AI direction.
Many enterprise AI agent development efforts never make it to production and it’s not because the technology isn’t ready. The problem, according to Databricks, is that companies are still relying on manual evaluations with a process that’s slow, inconsistent and difficult to scale. Today at the Data …
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!
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.
LAION released EmoNet, a suite of open-source tools designed to interpret emotions from voice and facial recordings, aiming to democratize emotional intelligence technology. Paech warned that an uncritical application of reinforcement learning could result in manipulative behavior in AI models.
This blog delves into the significance of popular benchmarks for LLM and explores some of the most influential LLM benchmarks shaping the future of AI. Beyond ranking, MMLU checks if a model can transfer knowledge between areas, crucial for adaptable AI. What is LLM Benchmarking?
Artificial intelligence (AI) has transformed industries, but its large and complex models often require significant computational resources. Traditionally, AI models have relied on cloud-based infrastructure, but this approach often comes with challenges such as latency, privacy concerns, and reliance on a stable internet connection.
The Stanford Institute for Human-Centered AI’s Global Vibrancy Tool 2024 assesses AI development across 36 countries, ranking the U.S. The index measures various indicators of AI activity, including research output, private investment, and patenting efforts. stands out with substantial investments in AI, reaching $67.2
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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