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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.
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.
Todays threat landscape is marked by increasingly sophisticated cyberattacks. Ransomware incidents grew by 18% in 2024 , while the Dark Angels cybercrime group walked away from a single attack with a payout of $75 million. Ransomware-as-a-service is growing in popularity and zero-day attacks continue to be unleashed at a rapid pace. There is a clear rise in phishing, and the malicious use of artificial intelligence (AI) is bypassing traditional security measures.
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.
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.
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.
Market research from KPMG has found many Kiwis dont trust artificial intelligence technology, even some who use it regularly. The research, released today, found 69% of New Zealanders use AI regularly. 31% reported they couldnt complete their work without the help of AI and 43% said they were concerned about being left behind if they did not use it.
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).
Language models have been rapidly evolving in the world. Now, with Multimodal LLMs taking up the forefront of this Language Models race, it is important to understand how we can leverage the capabilities of these Multimodal models. From traditional text-based AI-powered chatbots, we are transitioning over to voice based chatbots. These act as our personal […] The post Building an Emergency Operator Voice Chatbot 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
Deep within nearly every enterprise lies a massive trove of organizational data. An accumulation of transactions, customer information, operational data, and all sorts of other information, it holds a tremendous amount of value. That data, when paired with artificial intelligence (AI) models, can give businesses new insights into the way they make decisions and where to find opportunities for growth.
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.
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.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
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.
Digital transformation enables growth, creates efficiencies, improves experiences, and develops competitive advantages. A primary objective is evolving business models as technology, data, and AI rapidly change customer expectations and market opportunities. Technological paradigm shifts and disruptive global forces require CIOs to rethink their digital strategies every two years.
Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations.
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.
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.
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.
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.
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.
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.
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.
Many IT leaders scoffed when they heard that Elon Musks US Department of Government Efficiency wants to rip out millions of lines COBOL code at the Social Security Administration and replace it within a matter of months. COBOL is more than 60 years old, and concerns about maintaining the ancient programming language are on the rise, as many longtime COBOL coders head toward retirement and enterprises across nearly every industry remain beholden to it for mission-critical systems.
While AI has long been a topic of discussion within business teams, we often felt like spectators rather than actors. Today, that changes. Thanks to AI agents , we are no longer sidelined we are empowered. AI agents arent just the next chapter of enterprise AI they are the chapter being written right now.
This post is co-written with Roy Ninio from Appsflyer. Organizations worldwide aim to harness the power of data to drive smarter, more informed decision-making by embedding data at the core of their processes. Using data-driven insights enables you to respond more effectively to unexpected challenges, foster innovation, and deliver enhanced experiences to your customers.
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.
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?
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