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If youre a student or early professional eager to apply your Machine Learning skills in the real world, an internship is your best starting point. From GenAI-driven logistics to AI-powered finance and legal tech, companies across India are offering exciting ML roles that go far beyond textbook theory. These internships dont just pay – they […] The post 5 Machine Learning Internships in India (2025) appeared first on Analytics Vidhya.
I thought Id offer a few takeaways and reflections based on last weeks first AI Codecon virtual conference, Coding with AI: The End of Software Development as We Know It. Im also going to include a few short video excerpts from the event. If you registered for Coding with AI or if youre an existing OReilly subscriber, you can watch or rewatch the whole thing on the OReilly learning platform.
Breaking into data science has never been easy. In this tutorial, well make your life easier by providing you with a step-by-step roadmap for data science beginners.
Thanks so much for joining us today. We have over 20,000 people signed up for this event, both subscribers on the oreilly.com platform and those who arent yet subscribers. I think youre here because you all sense what I do: we’re witnessing not the end of programming, but its remarkable expansion. This is the most exciting moment in software development that I’ve seen during my more than 40 years in this industry.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. 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. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Does the tech world need computer science? Not the computers or the chips, but the abstract collection of theories taught in universities with departments sporting that name. Not science in general, but the idea of thinking about programming with a theoretical lens. The question becomes trickier now that AI will be quickly putting us all out of business.
Amazon QuickSight is cloud-powered, serverless, and embeddable business intelligence (BI) service that makes it straightforward to deliver insights to your organization. As a fully managed service, Amazon QuickSight lets you create and publish interactive dashboards that can then be accessed from different devices and embedded into your applications, portals, and websites.
If you look at the past 1 year, the browsing game has changed drastically. It all started with Perplexity and Co-pilot offering more detailed and personalized answers to search queries, and got amplified when ChatGPT added the web search option in its interface. Fast forward to today, all LLMs, be it Grok, Qwen, DeepSeek, kimi, […] The post Try Fellou AI and Say Goodbye to Google and ChatGPT appeared first on Analytics Vidhya.
If you look at the past 1 year, the browsing game has changed drastically. It all started with Perplexity and Co-pilot offering more detailed and personalized answers to search queries, and got amplified when ChatGPT added the web search option in its interface. Fast forward to today, all LLMs, be it Grok, Qwen, DeepSeek, kimi, […] The post Try Fellou AI and Say Goodbye to Google and ChatGPT appeared first on Analytics Vidhya.
1. ELI5: Understanding MCP Imagine you have a single universal plug that fits all your devicesthat’s essentially what the Model Context Protocol (MCP) is for AI. MCP is an open standard (think USB-C for AI integrations ) that allows AI models to connect to many different apps and data sources in a consistent way. In simple terms, MCP lets an AI assistant talk to various software tools using a common language, instead of each tool requiring a different adapter or custom code.
Customers use Amazon OpenSearch Service to store their operational and telemetry signal data. They use this data to monitor the health of their applications and infrastructure, so that when a production issue happens, they can identify the cause quickly. The sheer volume and variety in data often makes this process complex and time-consuming, leading to high mean time to repair (MTTR).
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. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
For every Python programmer, whether in the domain of data science and machine learning or software development, Python slicing operations are one of the most efficient, versatile, and powerful operations. Python slicing syntax allows the extraction and modification of data structures like Lists, Strings, Tuples, Arrays, Pandas DataFrames, and even byte sequences.
Amazon SageMaker Catalog , part of the next generation of Amazon SageMaker , now supports authorization policy for asset type usage a new governance capability that gives organizations fine-grained control over who can create and manage custom assets based on specific asset types. This enhancement brings scalable, policy-driven governance to enterprise data publishing workflows across diverse business domains.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
In the field of machine learning, the main objective is to find the most fit” model trained over a particular task or a bunch of tasks. To do this, one needs to optimize the loss/cost function, and this will assist in minimizing error. One needs to know the nature of concave and convex functions since […] The post Convex vs. Concave Function in Machine Learning appeared first on Analytics Vidhya.
After a post by Andrej Karpathy went viral, vibe coding became the buzzword of the yearor at least the first quarter. It means programming exclusively with AI, without looking at or touching the code. If it doesnt work, you have the AI try again, perhaps with a modified prompt that explains what went wrong. Simon Willison has an excellent blog post about what vibe coding means, when its appropriate, and how to do it.
From growing the business to weathering economic uncertainties to remaking enterprise operations, CEOs today rely on their CIOs to help solve the top business challenges they face as chief executives. That essential remit includes improving the enterprises ability to engage customers, collaborating with line-of-business executives to deliver innovative solutions, and safeguarding the organization against a wide variety of risks.
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.
With OpenSearch version 2.19, Amazon OpenSearch Service now supports hardware-accelerated enhanced latency and throughput for binary vectors. When you choose the latest-generation, Intel Xeon instances for your data nodes, OpenSearch uses AVX-512 acceleration to bring up to 48% throughput improvement vs. previous-generation R5 instances, and 10% throughput improvement compared with OpenSearch 2.17 and below.
Model Context Protocol (MCP) often described as the USB-C for AI agents, is the de-facto standard for connecting large language model (LLM) assistants with third-party tools and data. It enables AI agents to plug into various services, run commands, and share context seamlessly. However, its not secure by default. In fact, if youve been indiscriminately […] The post 6 Major Vulnerabilities of MCP appeared first on Analytics Vidhya.
Agentic AI, defined as AI systems and models that can act autonomously to achieve goals without the need for constant human guidance ( Harvard Business Review ), has exploded onto the scene. AI-powered agents have increasingly occupied tech conversations involving every industry and domain from supply chain to customer service. Seemingly out of nowhere, the topic of agents has gained traction and been tossed around as a value-add, AI capability.
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.
Nada en el mundo es perfecto, incluido el cdigo de software. De hecho, a la mayora de los programadores no se les da tiempo para crear un cdigo ni siquiera casi perfecto. Con la presin de implementar rpidamente, a menudo lanzan cdigo problemtico sabiendo que tendr que ser corregido en el futuro. Eso crea deuda tcnica. Vemos una gran cantidad de deuda tcnica desde el punto de vista del cdigo.
For modern organizations built on data insights, effective data management is crucial for powering advanced analytics and machine learning (ML) activities. As data use cases become more complex, data engineering teams require sophisticated tooling to handle versioning, increasing data volumes, and schema changes across multiple data sources and applications.
Looking for the right text-to-speech model? The 1.6 billion parameter model Dia might be the one for you. Youd also be surprised to hear that this model was created by two undergraduates and with zero funding! In this article, youll learn about the model, how to access and use the model and also see the […] The post Dia-1.6B TTS : Best Text-to-Dialogue Generation Model 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.
One of the biggest challenges companies still face in scaling AI and generative AI (GenAI) today? People. Specifically, finding talent with the right combination of AI expertise, business acumen, and the ability to work effectively with AI agents so they can solve real business problems with speed and at scale.
AI is having its moment. Theres no shortage of headlines, hype, or hesitation. The conversation often swings between awe and anxiety and I get it. Its hard to know where to start without overcomplicating things. But thats the point. You dont need to start big. You just need to start smart. Keep it simple. Then keep going. The biggest myth I hear? That everyone else already has this figured out.
Amazon OpenSearch Service provides automated hourly snapshots as a critical backup and recovery mechanism for customer data. These snapshots serve as point-in-time backups that you can use to restore your OpenSearch domains to a previous state, helping to ensure data durability and business continuity. While this functionality is essential, its equally important that the snapshot process operates seamlessly without impacting the domains core operations.
Building applications with large language models (LLMs) is exciting, as it lets us create smart, interactive systems. However, making these apps more complex brings along challenges, especially when several LLMs work together. So, how do we manage the flow of information between them? How do we make sure they work smoothly and understand the task? […] The post LangGraph Tutorial for Beginners appeared first on Analytics Vidhya.
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
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