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LLMs have now exploded in their use across various domains. They are no longer limited to chatbots hosted on the web but are being integrated into enterprises, government agencies, and beyond. A key innovation in this landscape is building custom tools for AI agents using smolagents, allowing these systems to extend their capabilities. Using smolagents, […] The post Building Custom Tools for AI Agents Using smolagents appeared first on Analytics Vidhya.
CEOs, CIOs and CFOs are finding that deep tech is actively driving business innovation and profitability. From AI models that boost sales to robots that slash production costs, advanced technologies are transforming both top-line growth and bottom-line efficiency. Business leaders dont need to be technology experts to grasp this shift; they need vision and urgency.
AI and data analytics is starting to revolutionize the chemical analysis industry by accelerating discovery, enhancing precision, and driving industry growth.
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
In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. The Amazon Redshift Data API simplifies access to your Amazon Redshift data warehouse by removing the need to manage database drivers, connections, network c
What if you could skip the boring bits of data analysis and jump straight to the good stuff – like uncovering insights? Google Colabs new Data Science Agent, powered by Gemini AI, does just that by handling tasks like importing libraries, cleaning up data, running exploratory data analysis (EDA), and even generating code for you. […] The post How to Access Data Science Agent in Google Colab?
El sector financiero lleva aos inmerso en un proceso de transformacin digital con el objetivo de adaptarse a las necesidades de clientes cada vez ms exigentes. La digitalizacin del sector ha permitido a las entidades financieras expandir su alcance y diversificar sus servicios, revolucionando la forma en la que los clientes se comunican con su banco.Segn un informe del Banco Mundial y el Fondo Monetario Internacional (FMI), desarrollos tecnolgicos como la inteligencia artificial (IA) o las aplic
El sector financiero lleva aos inmerso en un proceso de transformacin digital con el objetivo de adaptarse a las necesidades de clientes cada vez ms exigentes. La digitalizacin del sector ha permitido a las entidades financieras expandir su alcance y diversificar sus servicios, revolucionando la forma en la que los clientes se comunican con su banco.Segn un informe del Banco Mundial y el Fondo Monetario Internacional (FMI), desarrollos tecnolgicos como la inteligencia artificial (IA) o las aplic
AI and data are revolutionizing finance by automating tasks, enhancing decision-making, and empowering individuals to manage their money more effectively.
Data sharing has become a crucial aspect of driving innovation, contributing to growth, and fostering collaboration across industries. According to this Gartner study , organizations promoting data sharing outperform their peers on most business value metrics. A straightforward data access and sharing mechanism is crucial for enabling effective data sharing across an organization.
Generative AI is reshaping industries, and having hands-on experience with cutting-edge GenAI projects can set you apart in 2025. With AI tools helping employers sift through heaps of resumes, the right project can enhance your resume and showcase your expertise. So, here we bring you 20 projects that will give you a deeper understanding of […] The post 20 Generative AI Projects to Supercharge Your Resume in 2025 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.
Modivcare, which provides services to better connect people with care, is on a transformative journey to optimize its services by implementing a new product operating model. With such a shift, Modivcare and its CIO Jessica Kral aim to create a comprehensive and shared view of the companys processes. This transition also supports a more strategic roadmap for growth and innovation.
Generative AI can be a powerful engine of innovation until your CFO sees the invoice. If youre tired of being caught off guard by runaway LLM costs, its time to discover Dataiku Cost Guard , part of our LLM Guard Services.
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.
We might’ve heard about Deepseek, but have you also observed mentions of Deepseeks distilled models on Ollama? Or perhaps, if you’ve tried Groq Cloud, you might have witnessed similar models. But what exactly are these distil models? In this context, distil stands for distilled versions of the original models released by the organizations.
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.
For over a decade, Lumina Foundation has tracked the nations progress in post-high school educational attainment, providing key insights for policymakers, researchers, and advocates. Their goal has always been clear: increasing education access and ensuring credentials lead to real economic opportunities. Now, theyre taking that mission a step further.
The field of AI has seen immense transformation in the last several years. The Advanced AI Reasoning Model that can solve complex issues with a high degree of interpretability have replaced systems that could just anticipate the next word in a sequence. As someone who keeps a close eye on this development, I find it […] The post Top 6 AI Reasoning Models to Explore in 2025 appeared first on Analytics Vidhya.
With AI agents poised to take over significant portions of enterprise workflows, IT leaders will be faced with an increasingly complex challenge: managing them. There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.
You want to learn data engineering, but dont know where to start? Here are the suggestions of five free online courses, with some additional resources for skill practicing.
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.
Businesses have long measured AI investments through cost savings, efficiency, and automation. But does that approach still hold when AI is no longer just a tool but the foundation of enterprise strategy?
Multimodal LLMs (MLLMs) are the pinnacle of artificial intelligence, effortlessly closing the gap between heterogenous data modalitiestext, images, audio, and video. Contrary to older models that merely dealt with text-based information, MLLMs combine several modalities to provide richer, contextualized insights. This convergence of strengths has revolutionized industries, making possible everything from sophisticated research and automated […] The post Top 10 Multimodal LLMs to Explore in
In this issue, we explore the risks to both IT and the business from the use of AI. The goal of your risk management efforts should be to gain the most value from AI as a result.
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?
The Shifting Asset Paradigm In 1988, Australia became one of the first countries to formally recognise intangible assets on the balance sheet. During the 1980s, Australia experienced a surge in corporate mergers and acquisitions (M&A), fuelled by economic liberalisation and deregulation. Companies were being bought and sold at values far exceeding their net tangible assets.
In January, CDO Magazine carried an article by a consortium of authors including Dr. Tom Redman, John Ladley, Dr. Anne-Marie Smith, and others. The eye-catching headline: Data Governance is failing heres why.
Data is at the core of everything, from business decisions to machine learning. But processing large-scale data across different systems is often slow. Constant format conversions add processing time and memory overhead. Traditional row-based storage formats struggle to keep up with modern analytics. This leads to slower computations, higher memory usage, and performance bottlenecks.
📌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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