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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. In this article, we’ll learn how to develop a medical chatbot using Gemini 2.0, […] The post Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding appeared first on Analytics Vidhya.
CIOs are an ambitious lot. Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more.
The field of artificial intelligence is changing rapidly. Therefore, to keep abreast of the most recent research, reviewing Papers on Hugging Face is essential. Hugging Face has created a unique space where researchers not only share their work but can also engage with the community by upvoting, commenting, and discussing with others. This platform helps […] The post Top 9 Upvoted Papers on Hugging Face appeared first on Analytics Vidhya.
Google Analytics 4 (GA4) provides valuable insights into user behavior across websites and apps. But what if you need to combine GA4 data with other sources or perform deeper analysis? Thats where Amazon Redshift and Amazon AppFlow come in. Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Happy New Year to the readers! As the first month of 2025 began, my curiosity to learn about AI Agents deepened, leading me to explore their vast potential and applications. Today, I have tried the SmolAgents open-source framework by Hugging Face. Let’s get started! The year 2025 is said to be the year of AI […] The post SmolAgents by Hugging Face: Build AI Agents in Less than 30 Lines appeared first on Analytics Vidhya.
With so much happening in the Generative AI space, the need for tools that can efficiently process and retrieve information has never been greater. The King RAGent is a powerful, open-source research assistant built on LangChain’s Retrieval-Augmented Generation (RAG) patterns. It combines document processing and web search integration to simplify information retrieval and analysis.
With so much happening in the Generative AI space, the need for tools that can efficiently process and retrieve information has never been greater. The King RAGent is a powerful, open-source research assistant built on LangChain’s Retrieval-Augmented Generation (RAG) patterns. It combines document processing and web search integration to simplify information retrieval and analysis.
The field of artificial intelligence is changing rapidly. Therefore, to keep abreast of the most recent research, reviewing Papers on Hugging Face is essential. Hugging Face has created a unique space where researchers not only share their work but can also engage with the community by upvoting, commenting, and discussing with others. This platform helps […] The post Top 9 Upvoted Papers on Hugging Face appeared first on Analytics Vidhya.
Data teams spend countless hours creating data products for the business, but turning those products into actionable insights is no small feat. Modern teams face mounting challenges as they work to bridge the gap between raw data and informed decision-making. From scattered tools to manual processes, the road to creating meaningful insights can feel like an uphill battle.
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
As organizations shift from on-premise to cloud-based systems, they need solutions that simplify the transition and optimize data use with ease. With a staggering 89% of businesses now using cloud technology in some capacity every day, it is vital that business leaders invest in solutions that make it easy to use cloud applications and get the same or better results that theyre used to with on-prem solutions. insightsoftware, the leading provider of solutions for the Office of the CFO, is thrill
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
LangChain has announced an exciting opportunity for all AI Agent enthusiasts and leaders to joinInterrupt: The AI Agent Conference by LangChain, the largest gathering of builders shaping agentic applications. This event promises a lineup of technical talks, hands-on workshops, and much more! Location: San Francisco Time: May, 2025 Limited capacity Speakers at Interrupt Get […] The post Interrupt: The AI Agent Conference by LangChain appeared first on Analytics Vidhya.
Financial regulations exist to ensure stability and trust in global banking systems. They protect customers, preserve systemic integrity, and help mitigate risks of financial crises. However, even in a heavily regulated industry, banks and financial institutions worldwide routinely fail audits, often paying steep penalties amounting to billions of dollars.
Be Sure You Choose the Right Low Code No Code BI and Analytics By some reports, the no-code and low-code development platform market is expected to grow from $10.3 billion in 2019 to $187 billion by 2030, reflecting a compound annual growth rate (CAGR) of over 31%. No code predictive analytics , low code data analytics and no code business intelligence solutions provide numerous advantages and benefits to the enterprise and its users.
Artificial intelligence (AI) is no longer the stuff of science fiction; its here, influencing everything from healthcare to hiring practices. Tools like ChatGPT have democratized access to AI, allowing individuals and organizations to harness its potential in ways previously unimaginable. But as with any transformative technology, AI comes with risks chief among them, the perpetuation of biases and systemic inequities.
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.
What Are the Benefits of Low-Code No-Code in Analytics? Research indicates that, within the next several months, 65% of Application Development Will Be Done Using No-Code Platforms. Here, we discuss the benefits of LCNC-enabled analytics, no code business intelligence benefits and employing analytics and low code no code for teams, business users, Citizen Data Scientists and, ultimately, for the enterprise.
OpenAI CEO Sam Altman has reinvigorated discussion of artificial general intelligence (AGI), boldly claiming that his companys newest model has reached that milestone. In an interview with Bloomberg , he noted that OpenAIs o3, which was announced in December and is currently being safety tested, has passed the ARC-AGI challenge, the leading benchmark for AGI.
Using LCNC in Augmented Analytics Low-Code Development and No-Code Development have been getting a lot of press in technology publications and conferences of late. If you are interested in finding out more about this topic, and about how low-code, no-code (LCNC) can be used to enhance analytics and change the approach of the self-serve, augmented analytics market, this article will provide you with a primer.
At CES in Las Vegas Monday, Nvidia trumpeted a slew of AI announcements, with an emphasis on generative physical AI that promises a new revolution in factory and warehouse automation. AI requires us to build an entirely new computing stack to build AI factories, accelerated computing at data center scale, Rev Lebaredian, vice president of omniverse and simulation technology at Nvidia, said at a press conference Monday.
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.
Whether your team is currently using traditional business intelligence, or augmented analytics tools, or you are planning to implement your first analytics solution, it is important to understand the relevance of low-code and no-code development (LCNC) and LCNC features and techniques to your team and your selected analytics solution. Analytics with business intelligence and low code no code go hand-in-hand.
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An enterprise-focused PMO aligns every initiative with your organizations strategic goals, ensuring that the right projects deliver the right results at the right time. The P in PMO can stand for project, program, portfolio, or product, but those labels sometimes limit the true potential of the role. A PMOs real job, at any level in the organization, is to accelerate strategy delivery in a way that maximizes ROI, not just manage tasks and timelines.
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.
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