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I still remember last year’s NVIDIA GTC, Jensen Huang with its visionary approach along with a touch of humour introduced the developers with promises to redefine technology. From Blackwell architecture, Generative AI with NIM, GB200 AI Chip to Project Groot and other things, we got a glimpse into the future of technology. Now the future […] The post 10 NVIDIA GTC 2025 Announements that You Must Know appeared first on Analytics Vidhya.
The next evolution of AI has arrived, and its agentic. AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. The technology is relatively new, but all the major players are already on board. In October, Microsoft announced that 100,000 organizations including Standard Bank, Thomson Reuters, Virgin Money, and Zurich Insurance are using Copilot Studio, double the number just mont
Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges. We’ve identified two distinct types of data teams: process-centric and data-centric.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Choose or Combine GenAI and/or Agentic AI for Apps The only way to avoid news of Artificial Intelligence (AI) is to move to the top of a mountain and leave all your devices behind. Talk of AI is everywhere. So, it is no surprise that most businesses are considering how to incorporate artificial intelligence (AI) into their consumer apps, business applications, websites and mobile applications.
yFiles is a powerful SDK designed to simplify the visualization of complex networks and data relationships. When combined with LlamaIndex, it becomes a powerful tool for visualizing and interacting with knowledge graphs in real time. This guide walks you through the integration process, highlights essential steps, and demonstrates key features for an impactful, useful and […] The post How to Integrate yFiles with LlamaIndex for Knowledge Graph Visualization?
An con la resaca de Fitur 2025, que cerr sus puertas hace poco ms de un mes con cerca de 255.000 asistentes, la compaa hotelera de origen balear Palladium Hotel Group afronta un ao marcado por una ambiciosa estrategia de expansin y crecimiento que contempla la apertura de nuevos hoteles en zonas como el Caribe, el Mediterrneo, Oriente Medio o el sudeste asitico.
An con la resaca de Fitur 2025, que cerr sus puertas hace poco ms de un mes con cerca de 255.000 asistentes, la compaa hotelera de origen balear Palladium Hotel Group afronta un ao marcado por una ambiciosa estrategia de expansin y crecimiento que contempla la apertura de nuevos hoteles en zonas como el Caribe, el Mediterrneo, Oriente Medio o el sudeste asitico.
We often say AIs mistakes are by design, but theyre really not. AI wasnt built to fail in these specific ways its errors emerge as a byproduct of how it learns. But what if we actively use them as a tool instead of just tolerating AIs weird mistakes or trying to eliminate them?
Nvidias annual GPU Technology Conference (GTC) has long been a highlight for the AI community. At this years event, Nvidia CEO Jensen Huang unveiled a roadmap of new products and innovations aimed at scaling up artificial intelligence. This included nextgeneration AI chips – Blackwell Ultra, Vera Rubin, etc., accelerated inferencing software, and even future breakthroughs […] The post Nvidias GTC 2025 Announcements That Shook the Stock Market appeared first on Analytics Vidhya.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
At a press conference held in Seoul on March 20, SAP CEO Christian Klein personally introduced the Korean market to SAPs AI-specific services, describing how SAPs AI vision can help Korean companies realize theirs. Samsung, LG, and other top 10 conglomerates in Korea are SAP customers, and many excellent customers in Korea are using SAP to enhance their global competitiveness, said Klein.
Its easy to make the case for building a data mesh within your business. By enabling a decentralized approach to data management, data meshes can improve agility, reduce bottlenecks, and help teams make decisions based on the most recent, accurate information.
Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.
OpenAI has recently unveiled a suite of next-generation audio models, enhancing the capabilities of voice-enabled applications. These advancements include new speech-to-text (STT) and text-to-speech (TTS) models, offering developers more tools to create sophisticated voice agents. These advanced voice models, released on API, enable developers worldwide to build flexible and reliable voice agents much more easily. […] The post OpenAIs Audio Models: How to Access, Features, Applications, an
When the board says, AI! CIOs have the daunting task of educating it on the various flavors of this capability, and steering them to the most beneficial investments and strategies. Mark Brooks, who became CIO of Reinsurance Group of America in 2023, did just that, and restructured the technology organization to support the platform, redefined the programs success metrics, and proved to the board that IT is a good steward of the dollar.
Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan, be able to forecast results, and create reasonable objectives, goals, and competitive strategies.
Data is the lifeblood of Data Science and the backbone of the AI revolution. Without it, there are no models, and sophisticated algorithms are worthless because there is no data to bring their usefulness to life.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Enterprise data leaders are facing an uphill battle. The promise of data-driven decision-making and AI-driven efficiencies often crashes into the reality of fragmented data landscapes, scalability concerns, governance challenges, and organizational resistance.
Following the groundbreaking impact of DeepSeek R1, DeepSeek AI continues to push the boundaries of innovation with its latest offering: Smallpond. This lightweight data processing framework combines the power of DuckDB for SQL analytics and 3FS for high-performance distributed storage, designed to efficiently handle petabyte-scale datasets. Smallpond promises to simplify data processing for AI and […] The post A Comprehensive Guide to Smallpond appeared first on Analytics Vidhya.
The world is becoming digitally native and tech companies are leading the charge. There are exceptions depending on the industry, says 6sense CIO Bryan Wise, but situations will arise where if a company gets large enough, the cost benefit becomes a key concern, and going back on prem to an extent might be the right option. Were a long ways from that but because of the complexity of data residency of some larger fortune 500 companies, and theyre definitely thinking about true costs in the cloud a
Have you ever invented something, seemingly out of whole cloth, only to do a simple Google search to find out its a well-defined discipline youd never heard of? Thats how this article started.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Aviva , a major British multinational insurance company, has a thriving data science community with AI use cases spanning customer marketing, underwriting, claims assessment, fraud detection, and IT efficiencies.
The scale of LLM model sizes goes beyond mere technicality; it is an intrinsic property that determines what these AIs can do, how they will behave, and, in the end, how they will be useful to us. Much like how the size of a company or a team influences its capabilities, LLM model sizes create […] The post The Human Side of LLM Model Sizes appeared first on Analytics Vidhya.
Sustainability is no longer a peripheral concern but a strategic business imperative. As regulatory scrutiny, investor expectations, and consumer demand for environmental, social and governance (ESG) accountability intensify, organizations must leverage data to drive their sustainability initiatives. Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Imagine standing at the entrance of a vast, ever-expanding labyrinth of data. Each day, the walls shift and new pathways emerge. How do you not only find your way through but also extract the treasures hidden within? This is the challenge facing organizations, especially data consumers, today as data volumes explode and complexity multiplies. The compass you need might just be Data Intelligenceand it’s more crucial now than ever before.
Out of many data visualization tools, which five should you use? Three Python libraries, JavaScript, and R library should cover most of your data science needs.
If your company is building any kind of AI product or tool, congratulations! You are now an AI company. Yes, you’re still a retail company. Or a bank. Or a CPG operation. You’re that plus an AI companylet’s call this an AI as Well company (AIAW)granting you a license to tell sales prospects and investors that you’re doing AI.
Large language models answer questions using the knowledge they learned during training. This fixed knowledge base limits them. They can’t give you current or highly specific information. Retrieval-Augmented Generation (RAG) helps by letting LLMs pull in external data, but even RAG needs help with complex questions. Adaptive RAG offers a solution.
📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
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